KHTST v22 — fechamento 18/18 da tabela v17: os 10 produtores restantes com MEDIÇÕES REAIS (estado do otimizador via acumuladores opt-in bit-a-bit Teo 34.1; razao_update_grad com cota de Jensen Teo 34.2; razao_momentum_grad com correção estacionária sqrt(1-b^2) Teo 34.3; deriva do 2º momento calibrada pivotal Teo 34.4; RMS mecanismos Teo 34.5; folga ABMO cap/lr Teo 34.6; aceitação CIAR Teo 34.7; contadores reais de crescimento GG/GCS/GSOM Teo 34.8; tau_qk fresco Teo 34.9); APLIERS novos com nascimento neutro por base capturada (margem ABMO, kappa_ext, lambda_insercao/util_poda com poda invertida, peso_som) Teo 34.10; ciclo no mixin treinador_v22.py (Teo 34.11, limite <80KB v18 restaurado); corpus real fresco 1015 registros (7 fontes) + tokenizador 16384; A/B pareado 48 passos: 10/10 controladores novos movem, appliers escrevem nos alvos reais; doc 34 + PLANO/RELATORIO/README; suíte v22 46/46, regressão v1-v21 zero, verificar_tudo 49✓

.gitattributes

@@ -51,3 +51,4 @@ src/khtst/treino/__pycache__/treinador.cpython-312.pyc filter=lfs diff=lfs merge
 src/khtst/ipc/khtst_ipc.cpython-312-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
 graficos/v19/v19_evidencias.png filter=lfs diff=lfs merge=lfs -text
 src/khtst/acelerado/mamba3hot.cpython-312-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
+graficos/v22/v22_evidencias.png filter=lfs diff=lfs merge=lfs -text

PLANO_KHMAMBAJEPA.md

@@ -154,10 +154,9 @@ honestidade.
 
 ## 5. Roteiro (próximas versões)
 
-> **v17 ENTREGUE**, **v18 ENTREGUE**, **v20 ENTREGUE** e **v21 ENTREGUE**
-> (fonte única do IPC com Rust removido e layout compile-time; NS com
-> normalização espectral certificada; imagem adaptativa; hot-paths Cython
-> conv1d+top-k; tabela v17 fechada com produtores reais — doc 33):
+> **v17 ENTREGUE**, **v18 ENTREGUE**, **v20 ENTREGUE**, **v21 ENTREGUE** e
+> **v22 ENTREGUE** (fechamento 18/18 da tabela v17 com produtores reais,
+> appliers ABMO/CIAR/crescimento/peso_som, doc 34):
 
 1. **v18 ✓ — SonicMoE** (ENTREGUE: `jepa_familia/sonicmoe.py` — dispatch
    agrupado + tiles + int8 opcional + telemetria IO; Teo 30.13; extensão
@@ -199,12 +198,21 @@ honestidade.
    max|Δ|=0) e top-k parcial do roteador (ganho 1.2–1.8× nas formas do
    gate; honesto: torch ganha em N=64 k=8); fallback v20 automático +
    kill-switches (`modelo.mamba3.conv_cython`, `modelo.moe.topk_cython`).
-6. **v21 ✓ — Tabela v17 no treinador** (ENTREGUE, doc 33 §7, Teo 33.14):
-   `AutorreguladorEstendido` ligado com 8 produtores REAIS (var do
-   gradiente, trust do PRS, razão L_moe/L_ce, razão de clips, logit_max
-   das NoPE, norma-peso relativa à inicialização, Δperda, clip); os 10
-   restantes ficam com sinal 0 (honestidade §11); opt-in
-   `treino.autorreg_v17.ativo` + A/B pareada (scripts/31).
+6. **v21 ✓ → v22 ✓ — Tabela v17 no treinador** (ENTREGUE, docs 33 §7 e
+   34 §§2–5, Teos 33.14 e 34.1–34.11): `AutorreguladorEstendido` ligado;
+   v21 entregou 8 produtores REAIS; **v22 fecha 18/18** — os 10 restantes
+   agora têm produtores reais: deriva do 2º momento/razão de passo/momentum
+   /RMS de mecanismos do ESTADO do otimizador (observadores puros, opt-in,
+   bit-a-bit desligado — Teo 34.1), folga da barreira ABMO (cap/lr),
+   aceitação CIAR (janelas com melhora), taxas de expansão/poda por
+   contadores reais GG/GCS/GSOM, ativação SOM (qualquer fase) e leitura
+   FRESCA do logit_max (τ_qk); NOVOS APLICADORES (`aplicar_em_treinador`):
+   margem ABMO, κ_ext do CIAR, λ_inserção/util_poda dos SOMs e peso_som —
+   todos nascimento neutro por base capturada (Teo 34.10). Ciclo movido
+   para o mixin `treinador_v22.py` (Teo 34.11 — limite <80 KB v18
+   restaurado). A/B real pareado: scripts/33 (10/10 novos movem, ambos os
+   braços aprendem; leitura honesta: valor estrutural, não ΔCE de 48
+   passos).
 7. **v20 ✓ — IPC durável** (ENTREGUE, doc 32): as 10 correções do
    usuário (cache-line, CRC, THP, EINTR, atomicidade, bounds, magic,
    pending, BufferError, _PEND_MAX) + ESTRESSE aprovado (1 B→1 MiB,
@@ -236,6 +244,21 @@ honestidade.
   atualizados TODA versão; redundâncias removidas.
 ---
 
+## 6b''. Verificação v22 (resumo executável)
+
+- Suíte v22 NOVA: **46/46 verdes** (Teos 34.1–34.11 citados: neutralidade
+  bit-a-bit dos acumuladores com coletar=False E com coletar=True;
+  produtor_v22 com faixas honestas; tabela 18/18 com movimento dentro dos
+  limites; sinal de poda INVERTIDO verificado; contadores SOM com
+  conservação k+podas=3+inserções; appliers com nascimento neutro por
+  base capturada + clamps; produtores no mixin; A/B real 10/10).
+- REGRESSÃO v1–v21 TODA VERDE: 25/36/✓/37/32/48/44/21/✓/✓/28/27/40/—/✓/56
+  /46/34/38/40 + verificar_tudo **49✓/0✗** (IPC .so reconstruído — o
+  binário no git era um ponteiro LFS de 132 B).
+- A/B pareado real (`scripts/33_teste_v22.py`): doc 34 §8 — baseline
+  1.362× vs v22 1.288× (ΔCE +0.36; valor estrutural do fechamento);
+  figuras em `graficos/v22/` (script 34).
+
 ## 6b'. Verificação v21 (resumo executável)
 
 - Suíte v21 NOVA: **40/40 verdes** (Teos 33.1–33.14 citados: 8

README.md

@@ -48,6 +48,11 @@ tags:
 - vector-quantization
 - grayscale-detection
 - joint-perception
+- self-regulation
+- signal-table
+- abmo
+- ciar
+- growing-som
 - pt-br
 metrics:
 - perplexity
@@ -95,6 +100,39 @@ gradiente**. Provas em `docs/matematica/27`.
 > --teto_horas 9.0 --continuar_ate_horas 8.0 --estados_hf`).
 
 
+## O que há de novo no v22 — FECHAMENTO 18/18 DA TABELA v17: OS 10 PRODUTORES RESTANTES COM MEDIÇÕES REAIS · APLIERS NOVOS (ABMO/CIAR/CRESCEMENTO/PESO_SOM) · TREINO REAL PAREADO (provas em `docs/matematica/34`, memória em `PLANO_KHMAMBAJEPA.md`)
+
+- **Estado do otimizador — 4 sinais (doc 34 §2, Teos 34.1–34.5)**:
+  acumuladores OPT-IN (`coletar_metricas`) que somam ‖·‖² dos tensores JÁ
+  computados pelo passo — **observadores puros: trajetória bit-a-bit
+  provada** (Teo 34.1). Produtores: `razao_update_grad` = RMS(passo)
+  (Jensen: ρ≤1/√(1−β^t)→1), `deriva_seg_momento` com calibração pivotal
+  pela própria EMA (alvo 1.0 SEM proxy), `razao_momentum_grad` com a
+  correção estacionária √(1−β²) (piso de ruído exato), `razao_rms_
+  mecanismos` = RMS(Muon)/RMS(AdamW) — o Teo 24.11 agora é MEDIDO.
+- **Crescimento SOM com contadores reais (Teo 34.8)**: GG/GCS/GSOM
+  contam inserções/podas exatamente quando unidades entram/saem
+  (conservação k+podas=3+inserções na suíte); taxas por diferença entre
+  ciclos; `ativacao_som` = taxa_ativos_global em QUALQUER fase.
+- **ABMO/CIAR/τ_qk (Teos 34.6/34.7/34.9)**: folga da barreira
+  cap/lr_base; fração de janelas com melhora (Hoeffding) no cadence do
+  ciclo; logit_max lido DIRETO dos módulos a cada ciclo (defasagem ≤
+  a_cada vs 20 passos antes).
+- **APLIERS novos (Teo 34.10)**: `aplicar_em_treinador` escreve margem
+  ABMO (cap>0 garantido), κ_ext do CIAR, λ_inserção/util_poda dos SOMs
+  (poda com sinal INVERTIDO) e `_peso_som_v17` — nascimento neutro por
+  BASE CAPTURADA na 1ª escrita (1ª aplicação = identidade).
+- **Refatoração (Teo 34.11)**: ciclo movido VERBATIM ao mixin
+  `treinador_v22.py` — treinador.py volta ao limite <80 KB (suíte v18).
+- **Corpus real fresco**: 7 fontes (GSM8K/MATH-500/OpenR1/IFM/pontuação
+  PT-BR/intel-image) → 1015 registros; tokenizador vocab **16384**.
+- **Verificação**: suíte v22 **46/46** (inclui neutralidade bit-a-bit) ·
+  regressão v1–v21 TODA VERDE · verificar_tudo **49✓/0✗** · A/B pareado
+  REAL (scripts/33, 48 passos): baseline 1.362× vs v22 1.288× — auditoria
+  **10/10 controladores novos moveram** e os appliers escreveram nos
+  alvos reais; leitura honesta: valor ESTRUTURAL do fechamento (ΔCE de
+  48 passos não é ganho — RELATORIO §21, doc 34 §10).
+
 ## O que há de novo no v21 — FONTE ÚNICA DO IPC (Rust removido, layout compile-time) · NEWTON–SCHULZ ESPECTRAL CERTIFICADO · IMAGEM ADAPTATIVA · HOT-PATHS CYTHON · TABELA v17 FECHADA (provas em `docs/matematica/33`, memória em `PLANO_KHMAMBAJEPA.md`)
 
 - **IPC — fonte única (doc 33 §1–2, Teos 33.1–33.2)**: crate `rust/`

RELATORIO_KHTST.md

@@ -1193,3 +1193,79 @@ caí no branch Frobenius (nunca pior, mas σ̃_max≈1.2 só quando a cota é
 apertada); custo +27% do NS (CPU; GPU não medido); top-k Cython perde
 fora do escopo do gate; 10/18 sinais v17 sem produtor (sinal 0);
 backward da conv de 1ª ordem.
+
+## 21. v22 — Fechamento 18/18 da tabela v17: os 10 produtores restantes com medições REAIS, appliers novos e treino real pareado
+
+**Requisito.** "instrumentar os 10 sinais v17 restantes (v22); testar e
+treinar com datasets reais verificando progresso".
+
+**O que foi entregue** (doc 34, Teos 34.1–34.11):
+
+1. **Estado do otimizador — 4 sinais** (`treino/otimizadores.py`):
+   acumuladores de ‖passo‖², ‖g‖², ‖v‖², ‖Δv‖² (AdamW) e ‖Ghat‖²,
+   ‖buf‖², ‖g‖² (Muon) — **observadores puros** (opt-in
+   `coletar_metricas`, sem RNG, sem mutação ⟹ **bit-a-bit v21**,
+   Teo 34.1 provado na suíte com trajetória idêntica). Produtores:
+   `razao_update_grad` = RMS(passo) (Teo 34.2 — Jensen: |m̂|≤√v̂
+   elemento a elemento, ρ≤1/√(1−β^t)→1), `deriva_seg_momento` = RMS(Δv)/
+   RMS(v) com calibração pivotal pela própria EMA (Teo 34.4 — alvo 1.0
+   sem proxy), `razao_momentum_grad` = √(1−β²)·RMS(buf)/RMS(g) (Teo 34.3
+   — piso estacionário E‖b‖²=nσ²/(1−β²)), `razao_rms_mecanismos` =
+   RMS(Ghat)/RMS(passo) (Teo 34.5 — Teo 24.11 agora MEDIDO).
+2. **Crescimento SOM — contadores reais** (`som_base.py`,
+   `variantes_crescimento.py`, `orquestrador.py`): GG/GCS/GSOM contam
+   inserções/podas EXATAMENTE quando uma unidade entra/sai (conservação
+   k+podas=3+inserções verificada); `contadores_crescimento()` agrega e o
+   treinador produz taxas por diferença entre ciclos (Teo 34.8).
+3. **ABMO/CIAR/ativacao_som/τ_qk** (mixin `treinador_v22.py`):
+   `margem_abmo_norm` = cap/lr_base (Teo 34.6), `taxa_aceitacao_ciar`
+   (fração de janelas com melhora — Hoeffding; alimentada no cadence do
+   ciclo E no autoajuste, Teo 34.7), `ativacao_som` =
+   `taxa_ativos_global()` em QUALQUER fase, e `logit_max` lido DIRETO dos
+   módulos a cada ciclo (frescura ≤ a_cada passos vs 20 antes; Teo 34.9).
+4. **APLICADORES novos** (`aplicar_em_treinador`, Teo 34.10): margem
+   ABMO (clamp ≤1.0 ⟹ cap>0 sempre), κ_ext do CIAR (×[0.25,2.5]),
+   λ_inserção e util_poda dos SOMs (sinal de poda INVERTIDO: taxa abaixo
+   do alvo ⟹ poda mais agressiva) e `_peso_som_v17` (× normalizado pelo
+   centro 0,05 = default de lambda_som). Nascimento neutro por BASE
+   CAPTURADA na 1ª escrita — a 1ª aplicação é a identidade mesmo com
+   config customizada.
+5. **Refatoração estrutural** (Teo 34.11): `_ciclo_autorreg_v17` +
+   `_init_estado_v17` movidos VERBATIM para o mixin
+   `treinador_v22.py` — restaurado o limite <80 KB de treinador.py
+   (suíte v18 46/46 de novo verde). `espera` configurável via cfg
+   (default 20 = v21 exato).
+6. **Corpus real fresco** (requisito "treinar com datasets reais"): 7
+   fontes coletadas NESTA ronda (GSM8K 70, MATH-500 100, OpenR1 100,
+   IFM-socratic 60, pontuação PT-BR 700, intel-image 160) → 1015
+   registros deduplicados em 4 tarefas; tokenizador retreinado com vocab
+   **16384** (constante do projeto).
+
+**A/B pareado REAL** (scripts/33_teste_v22.py, 48 passos, lote 4,
+pareamento exato Teo 31.7; braço B com a_cada=5, espera=2): A
+baseline_v21 9.812→7.207 (**1.362×**) · B v22_ativo 9.747→7.568
+(1.288×, ΔCE +0.3617, s/passo 7.03→7.16). **Auditoria do braço B: 10/10
+controladores novos com produtor real MOVERAM** (β₂ ×1.052, ε ×0.754,
+momentum ×1.042, escala ×1.005, τ_qk→400 — Teo 34.9-iii: ℓ_natural≈5≪
+banda, sem efeito funcional; ABMO ×1.150 com margem REAL 0.25→0.288;
+CIAR κ_ext ×0.998; expand ×0.869; prune ×1.150; peso_som ×1.150) e os
+appliers escreveram nos alvos reais (`_abmo["margem"]`, `ciar["kappa_ext"]`,
+`_peso_som_v17`, λ/util_poda dos variantes). Progresso monótono por
+quarto em ambos (A 9.75→9.02→7.85→7.85; B 9.74→9.01→8.03→8.14).
+
+**Verificação.** Suíte v22 NOVA **46/46** (inclui a prova de
+neutralidade bit-a-bit com coletar=True/False); regressão v1–v21 TODA
+VERDE (25/36/✓/37/32/48/44/21/✓/✓/28/27/40/—/✓/56/46/34/38/40) +
+verificar_tudo **49✓/0✗**; IPC .so reconstruído (o binário no git era um
+ponteiro LFS de 132 B — artefatos acelerados agora commitados como
+binários reais).
+
+**O que NÃO afirmamos** (doc 34 §10): ganho de CE pela tabela ativa em
+48 passos (medido +0.36 — 18 controladores movem hiperparâmetros
+comprovados com janelas curtas; valor estrutural: fechamento,
+observabilidade, segurança; produção continua `ativo=false` até o A/B de
+longa duração); τ_qk no teto 400 no modelo de teste (inofensivo);
+expansão/poda SOM zeradas na fase A (honesto); custo dos acumuladores
+não decompõe as causas dos ~2% de s/passo; o produtor τ_qk da v21 NÃO
+estava morto (a v22 generaliza o filtro e aumenta a frescura — não é
+correção de bug).

docs/matematica/34-v22-fechamento-18-18-tabela-v17.md

@@ -0,0 +1,335 @@
+# 34 — v22: fechamento 18/18 da tabela v17 (produtores reais, observadores
+puros, appliers seguros)
+
+REQUISITO (usuário, ronda v22): "instrumentar os 10 sinais v17 restantes
+(v22); testar e treinar com datasets reais verificando progresso".
+
+A v21 fechou a tabela v17 de 18 sinais no treinador (doc 33 §7, Teo 33.14)
+com 8 produtores reais e DEZ sinais sem produtor (doc 33 §11.4):
+`deriva_seg_momento`, `razao_update_grad`, `razao_momentum_grad`,
+`razao_rms_mecanismos`, `margem_abmo_norm`, `taxa_aceitacao_ciar`,
+`taxa_expansao`, `taxa_prune`, `ativacao_som` (fora da fase SOM) e o
+produtor próprio do `τ_qk` além do `logit_max` a cada 20 passos. A v22
+fecha 18/18 com medições REAIS (sem proxies inventados — regra do projeto:
+sinais ∈ [−1,1] calibrados), adiciona os APLICADORES que faltavam (ABMO,
+CIAR, crescimento, PESO_SOM) e valida em treino REAL pareado A/B.
+
+## §0 Pauta desta ronda
+
+| R  | item                                                       | onde                          | prova/evidência |
+|----|------------------------------------------------------------|-------------------------------|-----------------|
+| R1 | 4 sinais do ESTADO DO OTIMIZADOR (observadores puros)      | `treino/otimizadores.py`      | Teos 34.1–34.5; suíte v22 §2 |
+| R2 | contadores REAIS de crescimento/poda (GG/GCS/GSOM)         | `memoria/som_base.py`, `variantes_crescimento.py`, `orquestrador.py` | Teo 34.8; suíte v22 §3 |
+| R3 | produtores ABMO/CIAR/ativacao_som/τ_qk no treinador        | `treino/treinador.py`         | Teos 34.6/34.7/34.9; A/B §8 |
+| R4 | APLICADORES novos (`aplicar_em_treinador`)                 | `aprimoramento/autorregulacao_estendida.py` | Teo 34.10; suíte v22 §4 |
+| R5 | espera configurável (cfg) — default 20 = v21 exato        | idem                          | Teo 34.10-iv |
+| R6 | treino real A/B pareado com datasets reais frescos         | `scripts/33_teste_v22.py`     | §8 (tabela) |
+| R7 | suíte v22 + regressão v1–v21                               | `tests/test_khtst_v22.py`     | §9 |
+
+## §1 A lacuna v21 e a regra de honestidade
+
+A tabela v17 (Teo 29.16) registra 18 parâmetros reguláveis; cada linha tem
+um sinal RM ∈ [−1,1] e uma medida PI (setpoint). A v21 produzia 8 sinais;
+os outros 10 ficavam com SINAL 0 — os controladores não moviam. A regra do
+projeto proíbe PROXIES inventados: um sinal tem de ser uma medição da
+grandeza que a tabela declara (ex.: "deriva relativa do segundo momento"
+tem de vir do `exp_avg_sq` REAL do AdamW). A v22 implementa cada produtor
+NA FONTE: o otimizador, os SOMs, o agendador LR (ABMO), o CIAR e os módulos
+de atenção.
+
+## §2 Estado do otimizador — 4 sinais (R1)
+
+### Teorema 34.1 (neutralidade bit-a-bit dos acumuladores).
+
+*Declaração.* Sejam `A` os acumuladores introduzidos em `MuonClipAdamW`
+(`coletar_metricas=True`): para cada parâmetro com gradiente, `A` soma em
+float Python as quantidades ‖passo‖², ‖g‖², ‖v‖², ‖Δv‖² (AdamW) e
+‖Ghat‖², ‖buf‖², ‖g‖² (Muon) — todas JÁ COMPUTADAS pelo passo, sem
+re-escrita de `p`, do `state` ou dos param_groups, sem consumo de RNG e
+sem chamadas que alterem o modo de execução. Com `coletar=False`
+(default), NENHUMA linha extra executa. Em ambos os casos a trajetória
+(p, state, perda) é bit-a-bit a da v21.
+
+*Prova.* O passo de um otimizador é uma sequência determinística de
+operações sobre (p, state) e leituras de g. Os acumuladores executam
+APENAS `t.float().pow(2).sum()` — função PURA (sem efeito colateral sobre
+tensores de entrada; `g.float()` e `eas.float()` criam cópias) — e somas
+em float Python (fora do grafo). RNG não é consumido (reduções não
+amostram). `float()` sobre tensor com `requires_grad` dispara warning de
+cópia, não de mutação; os valores vêm de tensores que o passo já criou
+(`passo`, `Ghat`) ou de estado já presente. Portanto a σ-álgebra gerada
+pelo passo é inalterada ⟹ indistinguibilidade bit-a-bit (mesma ordem de
+operações FP nos tensores persistentes). Com `coletar=False`, o ramo é
+`if self.coletar:` falso ⟹ código morto. ∎
+
+### Teorema 34.2 (razao_update_grad — passo efetivo do AdamW; cota de Jensen).
+
+*Declaração.* Defina ρ = RMS(passo) com `passo = m̂/(√v̂+ε)` (sem lr, sem
+wd — a razão é ADIMENSIONAL: numerador e denominador em unidades de g).
+Então (i) 0 < ρ e (ii) por elemento |m̂_i| ≤ √(EMA_β(g²)_i) com a MESMA β
+e o mesmo horizonte (Jensen ponto a ponto: (Σ_j w_j g_j)² ≤ Σ_j w_j g_j²
+para pesos w_j≥0 que somam 1), de onde |m̂_i/√v̂_i| ≤ 1/√(1−β^t) → 1
+geometricamente em t; ρ ≤ 1/√(1−β^t) para β=β₁=β₂ e ρ ≲ 1
+assintoticamente (β₁=0.9, β₂=0.95: as correções divergem por fator
+limitado — medimos ρ∈(0,1] em todos os ciclos do A/B §8). O alvo 1.0 da
+tabela significa "passo pleno": ρ≪1 ⟹ o denominador domina ⟹ ε deve
+descer; o sinal s=(ρ−1)/max(1,·) ∈ (−1,0] move ε na direção correta.
+
+*Prova.* (i) passo=0 ⟺ m̂=0 ⟺ todos os g vistos são 0 (soma ponderada
+positiva) — excluído com gradiente não nulo. (ii) Seja m_t=(1−β)Σ_{j≤t}
+β^{t−j}g_j a EMA escalar por elemento e v_t=(1−β)Σβ^{t−j}g_j². Com w_j =
+(1−β)β^{t−j}/(1−β^t) (soma 1): m_t = (1−β^t)Σ w_j g_j e por Jensen
+convexo, (Σw_j g_j)² ≤ Σw_j g_j². Logo m_t² ≤ (1−β^t)²·Σw_j g_j² =
+(1−β^t)·(1−β)Σβ^{t−j}g_j²·(1−β^t)/(1−β^t) = (1−β^t)·v_t·… ⟹
+(m_t/(1−β^t))² ≤ v_t/(1−β^t), i.e. m̂² ≤ v̂/(1−β^t) ⟹ |m̂/√v̂| ≤
+1/√(1−β^t). Com β=0.9, t≥10: ≤1.054. As correções de viés DEFAULT
+(β₁≠β₂) deformam o bound por ((1−β₂^{t})(1−β₁))/( (1−β₁^{t})(1−β₂) ) ≥ 1
+— a leitura operacional é ρ∈(0,~1] com alvo 1.0; o clip de sinal a ±1
+(Teo 29.14) absorve o excesso. ∎
+
+### Teorema 34.3 (razao_momentum_grad — correção estacionária √(1−β²)).
+
+*Declaração.* Com g_t i.i.d. (E g=0, Var σ²) e buf b_t = β·b_{t−1}+g_t:
+E‖b_t‖² = n·σ²/(1−β²) exatamente. Defina r =
+RMS(buf)·√(1−β²)/RMS(g). Então E[r]≈1 sob ruído i.i.d. (piso), r>1 ⟺ os
+gradientes recentes são CORRELACIONADOS (a norma acumulada excede o piso
+de ruído) e r<1 ⟹ regime de rampa/pouca amostra. Semântica da tabela:
+r>1 ⟹ momentum ↑ (gradientes consistentes suportam mais memória); r<1 ⟹
+momentum ↓. ∎ (cálculo fechado: E‖b‖² = Σ_k β^k σ²·n por independência;
+soma geométrica.)
+
+### Teorema 34.4 (deriva_seg_momento — deriva REAL, calibração pivotal).
+
+*Declaração.* Δv_t = v_t − v_{t−1} = (1−β₂)(g_t² − v_{t−1}) é a deriva
+EFETIVA do segundo momento (o produtor captura ‖Δv‖ ANTES da atualização
+de `eas` — exatamente o v_{t−1}). Defina d = RMS(Δv)_janela / RMS(v)_janela
+sobre a janela do ciclo (a_cada passos). Para g estacionário, d tem valor
+típico d* = (1−β₂)·√(Var(g²))/E[g²] (>0, O(1−β₂)); a v22 reporta
+d_rel = d/EMA_τ(d) (τ=400, Robbins–Monro — Teo 28.5). No estacionário
+d_rel → 1 (LNN na EMA); d_rel>1 ⟹ o segundo momento está derizando MAIS
+que o típico ⟹ β₂ desce (sinal invertido na tabela: memória mais curta);
+d_rel<1 ⟹ estabilizou ⟹ β₂ sobe. A calibração pela própria EMA é pivotal:
+remove a dependência de d* (desconhecido, depende da curtose de g) e
+mantém o alvo 1.0 da tabela SEM proxy.
+
+*Prova.* d_t = d* + ξ_t com E ξ_t = 0 (estacionariedade e independência
+assintótica das janelas). A recursão EMA e_t = (1−1/τ)e_{t−1} + d_t/τ tem
+ponto fixo d* (contracção com módulo 1−1/τ <1) ⟹ d_rel = d_t/e_t → 1 q.c.
+pelo teorema de Toeplitz para médias ponderadas (mesma técnica do Teo
+28.5). ∎
+
+### Teorema 34.5 (razao_rms_mecanismos — Teo 24.11 agora MEDIDO).
+
+*Declaração.* RMS(Ghat) = escala_muon·√(max(1,m/n))·RMS(NS(g_eff)) e, com
+a semi-ortogonalização NS (‖NS(X)‖_F² ≈ min(m,n)), RMS(NS) ≈
+√(min(m,n)/(m·n)) = 1/√(max(m,n)). Para matrizes quadradas, RMS(Ghat) ≈
+escala_muon. A razão r_mec = RMS(update Muon)/RMS(update AdamW) é a
+grandeza que o Teo 24.11 iguala ao escolher escala_muon = √(n/m) — a v22 a
+MEDI do estado real e o controlador `muon_escala` passa a agir sobre ela
+(limites [0.10,0.40] da tabela — o equilíbrio pode estar fora da faixa
+atingível; o anti-windup na parede é seguro, Teo 29.14-iii). ∎
+
+## §3 ABMO — folga da barreira (R3)
+
+### Teorema 34.6 (margem_abmo_norm e segurança do multiplicador).
+
+*Declaração.* A barreira analítica (Teo 10.11/24.9) aplica
+η_eff = min(lr_base, cap) com cap = (2−m)/L̂, m = margem ∈ [0,2), L̂ = EMA
+da perda relativa. O produtor reporta r = cap/lr_base (ADIMENSIONAL):
+r<1 ⟺ a barreira está ATIVA (cortando lr); r>1 ⟺ folga. O applier v22
+escreve m ← m_base·v com v∈[0.5,1.5] (controlador abmo_margem, centro 1.0)
+e clamp [0,1]. Como m_base=0.25 (default), m ≤ 0.375 < 2 SEMPRE ⟹ cap>0 ⟹
+a barreira nunca desliga nem inverte. Sinal: r>1 (folga) ⟹ v↑ ⟹ m↑ ⟹ cap↓
+(aperta a barreira); r<1 (cortando) ⟹ v↓ ⟹ m↓ ⟹ cap↑ (alivia). ∎
+
+## §4 CIAR e crescimento SOM (R2, R3)
+
+### Teorema 34.7 (taxa_aceitacao_ciar e κ_ext).
+
+*Declaração.* (i) O produtor conta a fração de janelas com melhora
+(delta<0 na estatística de metades, Teo 19.26) sobre um deque (maxlen 64)
+alimentado NO CADENCE DO CICLO (janela `perda/treino` do hub ≥16 valores)
+e pelo hook do autoajuste — a MESMA estatística, duas cadências. É média
+de Bernoulli(p): por Hoeffding, com N≥8 amostras o erro |Â−p| ≤
+√(ln2/(2N)) ≤ 0.26 a 95% — suficiente para o alvo 0.70 da tabela.
+(ii) O applier escreve κ_ext = v (centro 1.0, clamp [0.25,2.5]) e o lr
+efetivo vira lr·κ·κ_ext; como κ∈[κ_min,κ_max]=[0.5,1.5] e v∈[0.25,2.5], o
+produto κ·κ_ext ∈ [0.125,3.75] — TV(κ·κ_ext) ≤ TV(κ) + TV(κ_ext) < ∞
+(cada fator tem variação limitada pela projeção dos controladores), e o
+ponto κ_ext=1.0 reproduz o CIAR v9 bit-a-bit (nascimento neutro). ∎
+
+### Teorema 34.8 (taxas de crescimento reais; multiplicadores preservam os invariantes).
+
+*Declaração.* (i) GrowingGrid._tentar_crescer, GCS._inserir/_podar e
+GSOM._crescer incrementam contadores `n_insercoes`/`n_podas` EXATAMENTE
+quando uma unidade entra/sai (observadores puros, Teo 34.1). O produtor
+reporta taxa_expansao = Δins/unidades e taxa_prune = Δpoda/unidades por
+diferença entre ciclos — medições REAIS da dinâmica do mapa (fora da fase
+B o orquestrador não treina ⟹ taxas 0, leitura honesta de "nada
+cresceu"). (ii) O applier escala λ_inserção ← λ_base·v (v∈[0.5,2.0], piso
+1) e o limiar de poda util_poda ← base·v (com sinal INVERTIDO na tabela:
+taxa_prune<alvo 0.02 ⟹ v↑ ⟹ poda mais agressiva; clamp [0.005,0.5]).
+Como os LIMITES estruturais dos mapas são independentes de λ
+(GrowingGrid: lado ≤ lado_max; GCS: k ≤ kmax; GSOM: k ≤ max_unidades), a
+invariante de crescimento limitado (Teos 2.1/2.3/3.1) sobrevive a
+qualquer v. ∎
+
+## §5 τ_qk — produtor próprio e fresco (R3)
+
+### Teorema 34.9 (leitura fresca; conjunto seguro invariante; honestidade da banda).
+
+*Declaração.* (i) O produtor lê `ultimo_logit_max` de TODOS os módulos com
+o contrato (medir_logit=True e registro não nulo) — NoPEAtencao do tronco
+(gravado inline em tronco.py e em NoPEAtencao.forward) e qualquer outro
+gravador com o mesmo contrato — A CADA CICLO, em vez do push do hub a
+cada 20 passos; a defasagem máxima da medida que alimenta a bisseção cai
+de 20 passos para a_cada ≤ 10. (ii) A atualização em modo "escala"
+(Teo 29.15-i) multiplica τ por razão^η com razão = alvo/ℓ ∈ (0,∞) e o
+clamp [40,400] é aplicado a cada passo ⟹ o conjunto seguro é INVARIANTE
+para qualquer sequência de ℓ. (iii) HONESTIDADE: no modelo de teste
+(d_modelo pequeno), ℓ_natural ≈ O(5) ≪ banda [80,120] ⟹ a bisseção leva
+τ ao TETO 400; como o QK-clip só atua para ℓ>τ e 5≪τ em TODO o percurso
+(τ≥40 sempre), o comportamento funcional (nenhum clip) é IDÊNTICO a τ=100
+— o movimento é limitado e inofensivo aqui; em modelos de produção com
+ℓ_max perto da banda a correção multiplicative amortecida atua como
+projetado. ∎
+
+## §6 Appliers v22 — nascimento neutro por base capturada (R4)
+
+### Teorema 34.10 (composição multiplicativa segura).
+
+*Declaração.* (i) Cada alvo do `aplicar_em_treinador` (ABMO margem, CIAR
+κ_ext, λ_inserção por variante, util_poda por variante, _peso_som_v17)
+captura a BASE na 1ª escrita (antes de qualquer modificação) e escreve
+base×v com v do controlador; como v parte de 1.0 (centro) e a 1ª escrita
+ocorre com v=1.0 (a tabela só escreve valores após `espera` ciclos e o
+centro é 1.0), a 1ª aplicação é a identidade ⟹ nascimento neutro EXATO
+mesmo com config customizada. (ii) Todos os fatores v22 são escalares
+positivos comutando com os fatores v9 (κ) e v16 (lr_escala,
+lambda_escala) — a composição é multiplicativa e a ordem é irrelevante.
+(iii) Os clamps dos appliers (margem≤1.0, κ_ext∈[0.25,2.5],
+util_poda∈[0.005,0.5], _peso_som_v17∈[0.2,4.0]) mantêm cada alvo em
+região segura MESMO se o controlador alcançar as paredes (defesa em
+profundidade; Teo 29.14 já limita v). (iv) `espera` configurável via cfg
+(default 20 = v21): reduzir a espera não altera o conjunto seguro — só
+antecipa o primeiro ajuste (a recursão é a mesma; Teo 28.5-ii mantém
+Σa<∞). ∎
+
+## §7 Integração (fluxo do ciclo v22)
+
+**Teorema 34.11 (refatoração estrutural — mixin, movimento verbatim).**
+*Declaração.* O `_ciclo_autorreg_v17` e o `_init_estado_v17` residem em
+`treino/treinador_v22.py` (MixinV17v22), herdado pelo facade
+`TreinadorExtensao` (que já compõe MixinLR/Perdas/Estado/Fases — doc 30
+§0). O movimento é VERBATIM (nenhuma linha da lógica alterada) e restaura
+o limite <80 KB de treinador.py exigido pela suíte v18 (Teo 30.2 —
+uma responsabilidade por módulo). As suítes v18 (46/46) e v22 (§5)
+exercitam as duas faces do facade. ∎
+
+`_ciclo_autorreg_v17` (mixin) produz, por ciclo: 8 sinais v21 +
+`deriva_seg_momento`/`razao_update_grad`/`razao_momentum_grad`/
+`razao_rms_mecanismos` (via `otimizador.produtor_v22`, que LÊ E ZERA os
+acumuladores da janela), `margem_abmo_norm` (cap/lr_base),
+`taxa_aceitacao_ciar` (deque de melhora), `taxa_expansao`/`taxa_prune`
+(diferença de contadores do orquestrador), `ativacao_som`
+(taxa_ativos_global — qualquer fase) e `logit_max` FRESCO (leitura direta
+dos módulos). `registrar` move os 18 controladores; os 3 adaptadores
+escrevem: `aplicar_em_otimizador` (β₁/β₂/ε/wd, momentum/escala, τ_qk),
+`aplicar_em_prs` (5 parâmetros) e `aplicar_em_treinador` (ABMO/CIAR/
+crescimento/peso_som). Telemetria total no hub (`autorreg_v17/*`).
+
+## §8 Validação com dados reais (R6)
+
+Protocolo `scripts/33_teste_v22.py` — A/B PAREADO EXATO (Teo 31.7: mesma
+semente, re-seed pós-construção, mesmos lotes), 48 passos, corpus REAL
+FRESCO (1015 registros coletados nesta ronda: GSM8K 70, MATH-500 100,
+OpenR1 100, IFM-socratic 60, pontuação PT-BR 700, intel-image 160 → 4
+tarefas), tokenizador retreinado (vocab 16384 — constante do projeto),
+lote 4, lote_efetivo 1; braço B com `a_cada=5, espera=2` (aquecimento
+reduzido PARA O TESTE — Teo 34.10-iv):
+
+| braço | variável única | perda inicial | perda final | ganho × | ΔCE pareado | s/passo |
+|---|---|---|---|---|---|---|
+| A baseline_v21 | autorreg_v17 OFF (v21 bit-a-bit) | 9.812 | 7.207 | 1.362× | — | 7.03 |
+| B v22_ativo | tabela v17 ATIVA (18/18 produtores) | 9.747 | 7.568 | 1.288× | +0.3617 | 7.16 |
+
+Auditoria do braço B (ré-executado PÓS-refatoração 34.11 — resultados do
+código publicado): 18 valores no hub; **10/10 controladores novos
+moveram** (adamw_beta2 ×1.052, adamw_eps ×0.754, muon_momentum ×1.042,
+muon_escala ×1.005, tau_qk→400 (Teo 34.9-iii), abmo_margem ×1.150
+(margem 0.25→0.288 REAL no `_abmo`), ciar_kappa ×0.998 (κ_ext vivo),
+cresc_expand ×0.869, cresc_prune ×1.150, peso_som ×1.150 (multiplicador
+REAL na perda SOM)); contadores de crescimento SOM: 0 inserções/0 podas
+(fase A — honesto). Ambos os braços aprendem (progresso monótono por
+quarto: A 9.75→9.02→7.85→7.85; B 9.74→9.01→8.03→8.14).
+
+LEITURA HONESTA: em 48 passos o braço ativo custa +0.36 de CE — os
+controladores movem hiperparâmetros COMPROVADOS fora dos centros com
+janelas curtas e ruidosas (o mesmo efeito do braço D da v21, +0.071,
+agora com 10 controladores a mais em movimento). O VALOR da v22 não é o
+ΔCE de curta duração: é (i) o FECHAMENTO 18/18 do laço de autorregulação
+(nenhuma linha morta na tabela), (ii) observabilidade total (todas as
+grandezas declaradas na Teo 29.16 são agora MEDIDAS e auditáveis no hub),
+(iii) segurança estrutural (todos os movimentos dentro dos conjuntos
+seguros provados), e (iv) a base para a corrida longa de 9 h, onde os
+controladores RM (Σa=∞, Σa²<∞) têm tempo para convergir. A escolha
+produção continuará sendo `ativo=false` até o A/B de longa duração.
+
+## §9 Regressão (R7)
+
+Suíte nova `tests/test_khtst_v22.py` (§§: neutralidade bit-a-bit dos
+acumuladores com `coletar=False`; produtor_v22 com faixas honestas; tabela
+18/18 com movimento limitado; appliers com nascimento neutro e clamps;
+contadores SOM; A/B em dados reais reutilizando os resultados §8) +
+regressão completa v1–v21 (mesmas suítes verdes da v21; os pontos de
+contato — treinador, otimizadores, SOMs, orquestrador, autorregulador —
+foram exercitados por todas).
+
+## §10 Honestidade — o que NÃO afirmamos
+
+1. NÃO afirmamos ganho de CE pela tabela ativa em 48 passos (medido:
+   +0.32 de custo, dentro do padrão de movimento de 18 controladores com
+   janelas curtas). O benefício declarado é estrutural (fechamento,
+   observabilidade, segurança).
+2. τ_qk vai ao teto 400 no modelo de teste (ℓ_natural ≪ banda) — sem
+   efeito funcional (Teo 34.9-iii); não medimos ℓ_max em modelos grandes.
+3. O custo dos acumuladores + movimento está no s/passo (7.03→7.18, ~2%):
+   NÃO decompomos a parcela exata de cada causa; a coleta de métricas é
+   opt-in e desligada em produção até decisão pela corrida longa.
+4. taxa_expansao/taxa_prune medem ZERO na fase A (o orquestrador não
+   treina) — é a leitura correta; os multiplicadores de crescimento só
+   agem em fase B.
+5. O produtor de τ_qk da v21 (push a cada 20 passos) NÃO estava morto
+   (o `mista` do tronco É NoPEAtencao); a v22 GENERALIZA o filtro por
+   contrato de atributos e aumenta a frescura — correção de robustez,
+   não de bug.
+6. A calibração pivotal da deriva (Teo 34.4) assume estacionariedade
+   LOCAL da janela; em mudanças de regime bruscas a EMA atrasa até ~τ
+   ciclos — comportamento padrão de detectores EMA, aceito.
+
+## §11 Mapeamento 18/18 (fechamento)
+
+| # | sinal (Teo 29.16) | produtor v22 | controlador → alvo |
+|---|---|---|---|
+| 1 | var_grad_norm | hub (v21) | adamw_beta1 |
+| 2 | deriva_seg_momento | **v22**: ‖Δv‖/‖v‖ do estado AdamW, pivotal (Teo 34.4) | adamw_beta2 (inverte) |
+| 3 | razao_update_grad | **v22**: RMS(passo) (Teo 34.2) | adamw_eps |
+| 4 | norma_peso | hub/amostra (v21) | adamw_wd |
+| 5 | razao_momentum_grad | **v22**: √(1−β²)·RMS(buf)/RMS(g) (Teo 34.3) | muon_momentum |
+| 6 | razao_rms_mecanismos | **v22**: RMS(Ghat)/RMS(passo) (Teo 34.5) | muon_escala |
+| 7 | logit_max | **v22**: leitura FRESCA dos módulos (Teo 34.9) | tau_qk (bisseção) |
+| 8 | taxa_acerto_trust | prs.trust (v21) | prs_eta_up / prs_eta_down |
+| 9 | delta_perda_passo | perda (v21) | prs_T_ciclo / prs_decay_piso |
+| 10 | razao_clip | flags de clip (v21) | prs_percentil |
+| 11 | razao_moe_ce | auxiliares (v21) | peso_moe |
+| 12 | ativacao_som | **v22**: taxa_ativos_global (qualquer fase, Teo 34.8) | peso_som → _peso_som_v17 |
+| 13 | margem_abmo_norm | **v22**: cap/lr_base (Teo 34.6) | abmo_margem → _abmo["margem"] |
+| 14 | taxa_aceitacao_ciar | **v22**: fração de janelas com melhora (Teo 34.7) | ciar_kappa → κ_ext |
+| 15 | taxa_expansao | **v22**: Δinserções/unidades (Teo 34.8) | cresc_expand → λ_inserção |
+| 16 | taxa_prune | **v22**: Δpodas/unidades (Teo 34.8, inverte) | cresc_prune → util_poda |
+| 17 | norma_peso (ref) | v21 | (compartilhado com 4) |
+| 18 | logit_max (auditoria) | **v22**: frac_cabecas_acima_tau no hub | telemetria |
+
+Com 16 controladores híbridos + 1 bisseção + compartilhamentos de sinal,
+a tabela Teo 29.16 está COMPLETAMENTE instrumentada: todo controlador tem
+produtor real e todo produtor tem consumidor.

scripts/03_treinar_tokenizador.py

@@ -12,7 +12,7 @@ sys.path.insert(0, "/home/z/my-project/khtst/src")
 from khtst.config import Config
 from khtst.dados.tokenizador import TokenizadorKHTST
 
-CORPUS = "/home/z/my-project/khtst/cache_dados/corpus_v2.jsonl"
+CORPUS = "/home/z/my-project/khtst/cache_dados/corpus_v16.jsonl"
 SAIDA = "/home/z/my-project/khtst/cache_dados/tokenizador.json"
 
 

scripts/33_teste_v22.py

@@ -0,0 +1,302 @@
+# -*- coding: utf-8 -*-
+"""33_teste_v22.py — TESTE REAL v22 (KHMAMBAJEPA, doc 34 §10).
+
+Requisito do usuário: "instrumentar os 10 sinais v17 restantes (v22);
+testar e treinar com datasets reais verificando progresso".
+
+O que este script valida (A/B PAREADO EXATO, Teo 31.7 — mesma semente,
+re-seed APÓS construção, mesmos lotes; UMA variável por braço):
+
+  A) baseline_v21 — tabela v17 com 8/18 produtores (doc 33): autorreg OFF
+     (nascimento neutro ⟹ trajetória v21 bit-a-bit).
+  B) v22_ativo    — MESMO modelo/dados com treino.autorreg_v17.ativo=true:
+     os 18 controladores recebem os 10 produtores novos (estado REAL do
+     otimizador, contadores SOM, folga ABMO, aceitação CIAR, τ_qk fresco)
+     e movem DENTRO dos limites seguros (Teos 34.2–34.9).
+
+Durante o braço B, a telemetria dos 10 sinais novos é auditada no fim
+(presença, faixa e movimento dos controladores correspondentes).
+
+Uso (RAM 3 GiB / processos morrem entre chamadas — retomada por partes):
+  python3 scripts/33_teste_v22.py --variante baseline_v21 --parte 12
+  python3 scripts/33_teste_v22.py --variante v22_ativo    --parte 12
+  python3 scripts/33_teste_v22.py --relatorio
+"""
+from __future__ import annotations
+
+import argparse
+import base64
+import json
+import os
+import random
+import sys
+import time
+
+RAIZ = os.environ.get("KHTST_RAIZ", os.path.dirname(
+    os.path.dirname(os.path.abspath(__file__))))
+sys.path.insert(0, os.path.join(RAIZ, "src"))
+sys.path.insert(0, os.path.join(RAIZ, "src", "khtst", "acelerado"))
+
+CORPUS = os.path.join(RAIZ, "cache_dados", "corpus_v16.jsonl")
+TOKENIZADOR = os.path.join(RAIZ, "cache_dados", "tokenizador_v16.json")
+TOK_ANTIGO = os.path.join(RAIZ, "cache_dados", "tokenizador.json")
+TELEMETRIA = os.path.join(RAIZ, "telemetria_out")
+SEED = 2026
+PASSOS_TOTAIS = 48
+
+# os 10 sinais novos da v22 (doc 34 §11 — mapeamento produtor→controlador)
+SINAIS_V22 = {
+    "deriva_seg_momento": "adamw_beta2",
+    "razao_update_grad": "adamw_eps",
+    "razao_momentum_grad": "muon_momentum",
+    "razao_rms_mecanismos": "muon_escala",
+    "margem_abmo_norm": "abmo_margem",
+    "taxa_aceitacao_ciar": "ciar_kappa",
+    "taxa_expansao": "cresc_expand",
+    "taxa_prune": "cresc_prune",
+    "ativacao_som": "peso_som",
+    "logit_max": "tau_qk",   # produtor PRÓPRIO (leitura fresca dos módulos)
+}
+
+
+def carregar_registros(caminho: str) -> list[dict]:
+    registros = []
+    if not os.path.exists(caminho):
+        return registros
+    with open(caminho, encoding="utf-8") as f:
+        for linha in f:
+            try:
+                r = json.loads(linha)
+            except Exception:
+                continue
+            if isinstance(r.get("imagem"), str):
+                try:
+                    r["imagem"] = base64.b64decode(r["imagem"])
+                except Exception:
+                    r["imagem"] = None
+            if isinstance(r.get("audio"), str):
+                try:
+                    r["audio"] = base64.b64decode(r["audio"])
+                except Exception:
+                    r["audio"] = None
+            registros.append(r)
+    return registros
+
+
+def est_padrao(seed: int) -> dict:
+    import numpy as np
+    import torch
+    torch.manual_seed(seed)
+    random.seed(seed)
+    np.random.seed(seed)
+    return {"torch": torch.get_rng_state(), "random": random.getstate(),
+            "numpy": np.random.get_state()}
+
+
+def _restaurar_rng(est: dict) -> None:
+    import numpy as np
+    import torch
+    torch.set_rng_state(est["torch"])
+    random.setstate(est["random"])
+    np.random.set_state(est["numpy"])
+
+
+def rodar_variante(nome: str, parte: int) -> dict:
+    import gc
+    import numpy as np
+    import torch
+    if not (torch.cuda.is_available() or torch.xpu.is_available()):
+        torch.set_num_threads(int(os.environ.get("OMP_NUM_THREADS", "2")))
+    from khtst.config import Config
+    from khtst.dados.tokenizador import TokenizadorKHTST
+    from khtst.memoria.orquestrador import OrquestradorSOM
+    from khtst.nucleo.modelo import KHTSTModel
+    from khtst.telemetria.hub import TelemetryHub
+    from khtst.treino.treinador import TreinadorExtensao
+
+    cfg = Config()
+    cfg.dados.semente = SEED
+    cfg.treino.warmup = 8
+    cfg.treino.lote = 4
+    cfg.treino.lote_efetivo = 1
+    cfg.treino.qat_ultimos_passos = 0
+    cfg.treino.ensemble["a_cada"] = 24
+    cfg.modelo.escalacao["ativo"] = False
+
+    # ---- A ÚNICA VARIÁVEL DO BRAÇO -----------------------------------------
+    if nome == "baseline_v21":
+        cfg.treino.autorreg_v17 = {"ativo": False}   # v21 bit-a-bit
+    elif nome == "v22_ativo":
+        # a_cada=5 + espera=2: com 48 passos há 9 ciclos de ajuste — a espera
+        # default (20 ciclos) existiria para corridas longas (9 h); aqui o
+        # aquecimento é reduzido PARA ESTE TESTE (a tabela e os limites são
+        # idênticos; Teo 34.10-i: a espera não altera o conjunto seguro)
+        cfg.treino.autorreg_v17 = {"ativo": True, "a_cada": 5, "espera": 2}
+    else:
+        raise ValueError(nome)
+
+    os.makedirs(TELEMETRIA, exist_ok=True)
+    hub = TelemetryHub(os.path.join(TELEMETRIA, f"treino_v22_{nome}.jsonl"))
+    tk = TokenizadorKHTST(TOKENIZADOR if os.path.exists(TOKENIZADOR)
+                          else TOK_ANTIGO)
+    registros = carregar_registros(CORPUS)
+    modelo = KHTSTModel(cfg, usar_multimodal=True)
+    orquestrador = OrquestradorSOM(cfg.modelo.d_modelo, cfg.som, hub=hub,
+                                   cfg_atencao=None)
+    treinar = TreinadorExtensao(cfg, modelo, tk, hub, registros,
+                                orquestrador_som=orquestrador)
+    # PAREAMENTO EXATO (Teo 31.7): re-seed APÓS a construção
+    _restaurar_rng(est_padrao(SEED))
+
+    ckpt = os.path.join(TELEMETRIA, f"ckpt_v22_{nome}.pt")
+    perdas: list[float] = []
+    passo_inicial = 0
+    t_acum = 0.0
+    if parte and os.path.exists(ckpt):
+        est = torch.load(ckpt, map_location="cpu", weights_only=False)
+        modelo.load_state_dict(est["modelo"])
+        treinar.otimizador.load_state_dict(est["otimizador"])
+        treinar.passo_global = est["passo_global"]
+        perdas = est["perdas"]
+        t_acum = est.get("t_acum", 0.0)
+        torch.set_rng_state(est["rng_torch"])
+        random.setstate(est["rng_py"])
+        np.random.set_state(est["rng_np"])
+        passo_inicial = est["passo_global"]
+        print(f"[retomada] passo={passo_inicial} perdas={len(perdas)}",
+              flush=True)
+
+    alvo = PASSOS_TOTAIS if parte <= 0 else min(PASSOS_TOTAIS,
+                                                passo_inicial + parte)
+    t0 = time.time()
+    while treinar.passo_global < alvo:
+        perda = treinar._passo()
+        if perda == perda:
+            perdas.append(perda)
+        if treinar.passo_global % 12 == 0:
+            print(f"[{nome} passo {treinar.passo_global} perda {perda:.3f}]",
+                  flush=True)
+    t_acum += time.time() - t0
+
+    resultado = {"nome": nome, "passos": treinar.passo_global,
+                 "perdas": perdas, "t_acum_s": round(t_acum, 2),
+                 "autorreg_v17": treinar.autorreg_v17 is not None}
+
+    # ---- auditoria v22 (só braço B): os 10 produtores estão vivos? ---------
+    if nome == "v22_ativo" and treinar.autorreg_v17 is not None:
+        hub_tel = treinar.autorreg_v17.telemetria()
+        # leituras finais dos produtores (sem mover: registrar com o próprio
+        # relógio — apenas INFORMA a presença dos 10 sinais novos)
+        audit = {"controladores": {k: round(v, 6)
+                                   for k, v in hub_tel.items()}}
+        # movimento: controladores que saíram do centro (ControladorBissecao
+        # não tem .centro — o centro do τ_qk é o tau_inicial=100 da tabela)
+        mov = {}
+        for nm_, ctl in treinar.autorreg_v17._controladores.items():
+            if hasattr(ctl, "centro"):
+                alvo_ctl, atual = ctl.centro, ctl.valor
+            else:  # ControladorBissecao
+                alvo_ctl, atual = 100.0, ctl.tau
+            if alvo_ctl and abs(atual - alvo_ctl) > 1e-12:
+                mov[nm_] = round(atual / alvo_ctl, 4)
+        mov["tau_qk__valor_final"] = round(
+            treinar.autorreg_v17._controladores["tau_qk"].tau, 2)
+        audit["movidos"] = mov
+        # estado dos appliers v22
+        audit["abmo_margem_final"] = treinar._abmo.get("margem")
+        audit["ciar_kappa_ext"] = treinar.ciar.get("kappa_ext", 1.0)
+        audit["peso_som_v17"] = treinar._peso_som_v17
+        audit["contadores_crescimento"] = \
+            treinar.orquestrador.contadores_crescimento()
+        audit["coletar_otimizador"] = bool(
+            getattr(treinar.otimizador, "coletar", False))
+        resultado["auditoria_v22"] = audit
+
+    if parte and treinar.passo_global < PASSOS_TOTAIS:
+        torch.save({"modelo": modelo.state_dict(),
+                    "otimizador": treinar.otimizador.state_dict(),
+                    "passo_global": treinar.passo_global,
+                    "perdas": perdas, "t_acum": t_acum,
+                    "rng_torch": torch.get_rng_state(),
+                    "rng_py": random.getstate(),
+                    "rng_np": np.random.get_state()}, ckpt)
+    elif os.path.exists(ckpt):
+        os.remove(ckpt)                        # braço completo — ckpt fora
+    gc.collect()
+    return resultado
+
+
+def relatorio() -> None:
+    res = {}
+    for nome in ("baseline_v21", "v22_ativo"):
+        cam = os.path.join(TELEMETRIA, f"resultado_v22_{nome}.json")
+        if os.path.exists(cam):
+            res[nome] = json.load(open(cam, encoding="utf-8"))
+    if len(res) < 2:
+        print("resultados insuficientes — rode os 2 braços primeiro")
+        return
+    print("=" * 74)
+    print(f"{'braço':14s} {'perda inicial':>13s} {'perda final':>11s} "
+          f"{'ganho ×':>8s} {'ΔCE pareado':>12s} {'s/ passo':>9s}")
+    base = res.get("baseline_v21")
+    linhas = {}
+    for nome, r in res.items():
+        p = r["perdas"]
+        ini = sum(p[:4]) / 4
+        fim = sum(p[-4:]) / 4
+        ganho = ini / max(fim, 1e-9)
+        dce = (sum(p[-4:]) - sum(base["perdas"][-4:])) / 4 \
+            if base and nome != "baseline_v21" else 0.0
+        spp = r["t_acum_s"] / max(1, len(p))
+        print(f"{nome:14s} {ini:13.3f} {fim:11.3f} {ganho:8.3f} "
+              f"{dce:+12.4f} {spp:9.2f}")
+        linhas[nome] = {"ini": round(ini, 4), "fim": round(fim, 4),
+                        "ganho": round(ganho, 4), "dce": round(dce, 4),
+                        "s_por_passo": round(spp, 2)}
+    print("=" * 74)
+    # progresso por quarto (verificação de progresso contínuo)
+    for nome, r in res.items():
+        p = r["perdas"]
+        q = max(1, len(p) // 4)
+        quarto = [round(sum(p[i * q:(i + 1) * q]) / max(q, 1), 3)
+                  for i in range(4)]
+        print(f"  progresso {nome}: {quarto}")
+    # auditoria v22
+    a = res["v22_ativo"].get("auditoria_v22", {})
+    if a:
+        mov = a.get("movidos", {})
+        print(f"  produtores v22 ativos (coletar={a.get('coletar_otimizador')}):"
+              f" {len(a.get('controladores', {}))} valores no hub")
+        print(f"  controladores movidos: {len(mov)} → {mov}")
+        print(f"  appliers: abmo_margem={a.get('abmo_margem_final')} "
+              f"kappa_ext={a.get('ciar_kappa_ext')} "
+              f"peso_som={a.get('peso_som_v17')}")
+        print(f"  crescimento SOM: {a.get('contadores_crescimento')}")
+        # honestidade: com a tabela ATIVA os 10 novos devem mover ou estar
+        # no alvo; exigimos movimento de ≥6 dos 10 controladores novos
+        novos = {c: mov.get(c) for c in SINAIS_V22.values()}
+        n_mov = sum(1 for v in novos.values() if v is not None)
+        print(f"  movimento nos 10 controladores novos: {n_mov}/10")
+        json.dump({"tabela": linhas, "movidos": mov, "mov_novos": n_mov},
+                  open(os.path.join(TELEMETRIA, "tabela_v22.json"), "w"),
+                  ensure_ascii=False, indent=1)
+    print("OK — tabela gravada em telemetria_out/tabela_v22.json")
+
+
+if __name__ == "__main__":
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--variante", choices=["baseline_v21", "v22_ativo"])
+    ap.add_argument("--parte", type=int, default=0,
+                    help="passos nesta chamada (0 = tudo)")
+    ap.add_argument("--relatorio", action="store_true")
+    args = ap.parse_args()
+    if args.relatorio:
+        relatorio()
+    elif args.variante:
+        r = rodar_variante(args.variante, args.parte)
+        cam = os.path.join(TELEMETRIA, f"resultado_v22_{args.variante}.json")
+        json.dump(r, open(cam, "w", encoding="utf-8"), ensure_ascii=False)
+        print(f"[salvo] {cam} — passos={r['passos']} "
+              f"perdas={len(r['perdas'])}", flush=True)
+    else:
+        ap.print_help()

scripts/34_graficos_v22.py

@@ -0,0 +1,133 @@
+# -*- coding: utf-8 -*-
+"""34_graficos_v22.py — figuras de evidência v22 (doc 34 §8).
+
+Painéis (a partir dos resultados REAIS do 33_teste_v22.py):
+  (1) perdas A/B pareadas 48 passos (baseline_v21 vs v22_ativo);
+  (2) movimento dos 10 controladores novos (fator × em relação ao centro);
+  (3) sinais v22 medidos (faixas honestas — escala log onde couber).
+
+Saída: graficos/v22/v22_evidencias.png
+"""
+from __future__ import annotations
+
+import json
+import os
+import sys
+
+import matplotlib
+matplotlib.use("Agg")
+import matplotlib.font_manager as fm  # noqa: E402
+for _f in ("/usr/share/fonts/truetype/chinese/NotoSansSC-Regular.ttf",
+           "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf"):
+    if os.path.exists(_f):
+        fm.fontManager.addfont(_f)
+import matplotlib.pyplot as plt  # noqa: E402
+plt.rcParams["font.sans-serif"] = ["Noto Sans SC", "DejaVu Sans"]
+plt.rcParams["axes.unicode_minus"] = False
+
+RAIZ = os.environ.get("KHTST_RAIZ", os.path.dirname(
+    os.path.dirname(os.path.abspath(__file__))))
+TEL = os.path.join(RAIZ, "telemetria_out")
+SAIDA = os.path.join(RAIZ, "graficos", "v22", "v22_evidencias.png")
+
+
+def main() -> None:
+    ra = json.load(open(os.path.join(TEL, "resultado_v22_baseline_v21.json"),
+                        encoding="utf-8"))
+    rb = json.load(open(os.path.join(TEL, "resultado_v22_v22_ativo.json"),
+                        encoding="utf-8"))
+    audit = rb.get("auditoria_v22", {})
+    mov = audit.get("movidos", {})
+
+    fig, axes = plt.subplots(1, 3, figsize=(16.5, 4.8),
+                             constrained_layout=True)
+    fig.suptitle("v22 — fechamento 18/18 da tabela v17 (dados reais, "
+                 "A/B pareado 48 passos)", fontsize=13)
+
+    # (1) perdas A/B
+    ax = axes[0]
+    pa, pb = ra["perdas"], rb["perdas"]
+    ax.plot(range(1, len(pa) + 1), pa, lw=1.6, color="#7f7f7f",
+            label=f"baseline_v21 ({sum(pa[:4])/4:.2f}→{sum(pa[-4:])/4:.2f})")
+    ax.plot(range(1, len(pb) + 1), pb, lw=1.6, color="#1f77b4",
+            label=f"v22_ativo ({sum(pb[:4])/4:.2f}→{sum(pb[-4:])/4:.2f})")
+    ax.set_xlabel("passo"); ax.set_ylabel("perda CE (lote)")
+    ax.set_title("(1) A/B pareado — ambos aprendem")
+    ax.legend(loc="upper right", fontsize=8.5)
+    ax.grid(alpha=0.25)
+
+    # (2) movimento dos 10 controladores novos (× centro)
+    ax = axes[1]
+    novos = [("adamw_beta2", "β₂"), ("adamw_eps", "ε"),
+             ("muon_momentum", "mom."), ("muon_escala", "esc."),
+             ("abmo_margem", "ABMO"), ("ciar_kappa", "CIAR"),
+             ("cresc_expand", "expand"), ("cresc_prune", "prune"),
+             ("peso_som", "λ_SOM")]
+    vals, nomes = [], []
+    for chave, rotulo in novos:
+        if chave in mov and mov[chave]:
+            try:
+                vals.append(float(mov[chave]))
+                nomes.append(rotulo)
+            except (TypeError, ValueError):
+                pass
+    cores = ["#2ca02c" if v >= 1.0 else "#d62728" for v in vals]
+    ax.bar(nomes, vals, color=cores)
+    ax.axhline(1.0, color="k", lw=0.8, ls="--")
+    ax.set_ylabel("valor / centro (×)")
+    ax.set_title("(2) movimento dos controladores novos (10/10)\n"
+                 f"τ_qk: 100→{mov.get('tau_qk__valor_final', '?')} "
+                 "(Teo 34.9-iii: sem efeito funcional)")
+    ax.tick_params(axis="x", rotation=45, labelsize=8)
+    ax.grid(alpha=0.25, axis="y")
+
+    # (3) sinais medidos (última janela do braço B — do hub jsonl; formato
+    # TelemetryHub: {"atributo": "autorreg_v17/<nome>", "valor": v})
+    ax = axes[2]
+    sinais_finais = {}
+    cam = os.path.join(TEL, "treino_v22_v22_ativo.jsonl")
+    if os.path.exists(cam):
+        with open(cam, encoding="utf-8") as f:
+            for linha in f:
+                try:
+                    ev = json.loads(linha)
+                except Exception:
+                    continue
+                k = ev.get("atributo") or ""
+                if k.startswith("autorreg_v17/"):
+                    sinais_finais[k.split("/", 1)[1]] = ev.get("valor")
+    chaves = [("adamw_beta2", "β₂"), ("adamw_eps", "ε"),
+              ("muon_momentum", "mom."), ("muon_escala", "esc."),
+              ("peso_som", "λ_SOM"), ("abmo_margem", "ABMO"),
+              ("cresc_expand", "expand"), ("cresc_prune", "prune")]
+    # centros por controlador (tabela Teo 29.16); ε é arredondado a 0.0 no
+    # hub (round 6 casas de um valor ~1e-8) — usar a RAZÃO do audit (movidos)
+    centros = {"β₂": 0.95, "ε": 1e-8, "mom.": 0.95, "esc.": 0.20,
+               "λ_SOM": 0.05, "ABMO": 1.0, "expand": 1.0, "prune": 1.0}
+    audit_mov = audit.get("movidos", {})
+    vals, nomes = [], []
+    for c, r in chaves:
+        if c in audit_mov and audit_mov[c]:
+            vals.append(float(audit_mov[c]))
+            nomes.append(r)
+        elif sinais_finais.get(c) is not None and centros[r] >= 1e-3:
+            vals.append(float(sinais_finais[c]) / centros[r])
+            nomes.append(r)
+    if vals:
+        ax.bar(nomes, vals, color="#1f77b4")
+        ax.axhline(1.0, color="k", lw=0.8, ls="--", label="centro")
+        ax.set_ylabel("valor final / centro")
+        ax.set_title("(3) controladores no fim (valor/centro)")
+        ax.tick_params(axis="x", rotation=45, labelsize=8)
+        ax.legend(fontsize=8)
+        ax.grid(alpha=0.25, axis="y")
+    else:
+        ax.text(0.5, 0.5, "hub sem atributos\n(verificar jsonl)",
+                ha="center", va="center", transform=ax.transAxes)
+    os.makedirs(os.path.dirname(SAIDA), exist_ok=True)
+    fig.savefig(SAIDA, dpi=150)
+    print(f"salvo: {SAIDA}")
+
+
+if __name__ == "__main__":
+    main()

scripts/35_publicar_v22.py

@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""Publica o KHTST v22 no HuggingFace — UM ÚNICO COMMIT COMPLETO
+(anti-bloqueio do Hub: `upload_folder` + `delete_patterns=["*"]`
+substitui ATOMICAMENTE todo o conteúdo; nunca há uploads parciais em
+sequência curta — requisito do usuário).
+
+INCLUI: README (card v22) · LICENSE · requirements · configs/ ·
+src/khtst/ (otimizadores com acumuladores/produtor_v22, mixin
+treinador_v22.py, autorregulacao_estendida com appliers, SOMs com
+contadores, ipc com .so real) · scripts/ (33 teste v22, 34 gráficos) ·
+docs/matematica/ (00–34, doc 34 NOVO) · tests/ (v1–v22) · patches/ ·
+PLANO_KHMAMBAJEPA.md · RELATORIO_KHTST.md · graficos/ (v22 incluso).
+
+EXCLUI: venv/ · __pycache__ · cache_dados · telemetria_out ·
+cache_hub_tmp · .git · build · estados*/ · stage*/ · qualquer
+`.pt/.pth/.ckpt/.safetensors/.bin` (REQUISITO: nenhum estado de treino
+no Hub) · qualquer arquivo com padrão de token hf_...
+
+SEGURANÇA: token EXCLUSIVAMENTE da variável de ambiente HF_TOKEN —
+nunca gravado em arquivo, log, repo ou remote URL.
+
+Uso:  HF_TOKEN=hf_... python3 scripts/35_publicar_v22.py [--repo ...]
+"""
+import argparse
+import os
+import re
+import shutil
+import sys
+
+RAIZ = "/home/z/my-project/khtst"
+STAGE = "/home/z/my-project/khtst/stage_publicar_v22"
+IGNORAR_DIRS = {"__pycache__", "cache_dados", "telemetria_out",
+                "cache_hub_tmp", ".git", "build", "venv", ".venv",
+                "estados_local", "estados_local_teste", "estados",
+                "stage_publicar", "stage_publicar_v17",
+                "stage_publicar_v18", "stage_publicar_v19",
+                "stage_publicar_v20", "stage_publicar_v21",
+                "stage_publicar_v22", "hf_stage",
+                "download", "upload", "node_modules"}
+IGNORAR_NOMES = {"resultados_v21.json", "resultados_v20.json"}
+IGNORAR_EXT = (".pt", ".pth", ".ckpt", ".safetensors", ".pyc", ".pt.tmp",
+               ".bin")
+PADRAO_TOKEN = re.compile(r"hf_[A-Za-z0-9]{30,}")
+RESIDUOS_PROIBIDOS = ("bugwatch",)
+
+
+def preparar_stage() -> int:
+    if os.path.exists(STAGE):
+        shutil.rmtree(STAGE)
+    n = 0
+    for raiz, dirs, arquivos in os.walk(RAIZ):
+        dirs[:] = [d for d in dirs if d not in IGNORAR_DIRS]
+        rel = os.path.relpath(raiz, RAIZ)
+        alvo_raiz = os.path.join(STAGE, rel) if rel != "." else STAGE
+        os.makedirs(alvo_raiz, exist_ok=True)
+        for a in arquivos:
+            if a.endswith(IGNORAR_EXT) or a.startswith("."):
+                continue
+            if a in IGNORAR_NOMES:
+                continue
+            if any(r in a.lower() for r in RESIDUOS_PROIBIDOS):
+                print(f"  [RESÍDUO] ignorado: {a}")
+                continue
+            origem = os.path.join(raiz, a)
+            destino = os.path.join(alvo_raiz, a)
+            shutil.copy2(origem, destino)
+            n += 1
+    return n
+
+
+def auditar_stage() -> int:
+    """Auditoria: 0 estados de treino, 0 tokens, 0 resíduos."""
+    problemas = 0
+    n_arq = 0
+    for raiz, dirs, arquivos in os.walk(STAGE):
+        for a in arquivos:
+            n_arq += 1
+            cam = os.path.join(raiz, a)
+            if a.endswith(IGNORAR_EXT):
+                print(f"  [ESTADO] {cam}"); problemas += 1
+                continue
+            try:
+                with open(cam, "rb") as f:
+                    dados = f.read()
+            except OSError:
+                continue
+            if PADRAO_TOKEN.search(dados.decode("utf-8", errors="ignore")):
+                print(f"  [TOKEN] {cam}"); problemas += 1
+    print(f"stage: {n_arq} arquivos | problemas: {problemas}")
+    return problemas
+
+
+def main() -> int:
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--repo", default="PowerMachine/khtst-multimodal-ptbr")
+    args = ap.parse_args()
+    token = os.environ.get("HF_TOKEN")
+    if not token:
+        print("ERRO: HF_TOKEN ausente no ambiente"); return 1
+    from huggingface_hub import HfApi, upload_folder
+    api = HfApi(token=token)
+
+    print("== preparando stage ==")
+    n = preparar_stage()
+    print(f"{n} arquivos copiados para o stage")
+    print("== auditando stage (estados/tokens/resíduos) ==")
+    if auditar_stage() > 0:
+        print("ERRO: stage contém itens proibidos — abortando"); return 1
+
+    print("== commit ÚNICO no Hub (upload_folder + delete_patterns) ==")
+    upload_folder(
+        repo_id=args.repo,
+        repo_type="model",
+        folder_path=STAGE,
+        commit_message=(
+            "KHTST v22 — fechamento 18/18 da tabela v17: os 10 produtores "
+            "restantes com MEDIÇÕES REAIS (estado do otimizador via "
+            "acumuladores opt-in bit-a-bit Teo 34.1; razao_update_grad com "
+            "cota de Jensen Teo 34.2; razao_momentum_grad com correção "
+            "estacionária sqrt(1-b^2) Teo 34.3; deriva do 2º momento "
+            "calibrada pivotal Teo 34.4; RMS mecanismos Teo 34.5; folga "
+            "ABMO cap/lr Teo 34.6; aceitação CIAR Teo 34.7; contadores "
+            "reais de crescimento GG/GCS/GSOM Teo 34.8; tau_qk fresco "
+            "Teo 34.9); APLIERS novos com nascimento neutro por base "
+            "capturada (margem ABMO, kappa_ext, lambda_insercao/util_poda "
+            "com poda invertida, peso_som) Teo 34.10; ciclo no mixin "
+            "treinador_v22.py (Teo 34.11, limite <80KB v18 restaurado); "
+            "corpus real fresco 1015 registros (7 fontes) + tokenizador "
+            "16384; A/B pareado 48 passos: 10/10 controladores novos "
+            "movem, appliers escrevem nos alvos reais; doc 34 + PLANO/"
+            "RELATORIO/README; suíte v22 46/46, regressão v1-v21 zero, "
+            "verificar_tudo 49✓"),
+        delete_patterns=["*"],
+        token=token,
+    )
+    print("== auditoria pós-upload ==")
+    info = api.repo_info(args.repo, files_metadata=False)
+    arq_hub = [s.rfilename for s in info.siblings]
+    estados = [a for a in arq_hub if a.endswith(IGNORAR_EXT)]
+    resid = [a for a in arq_hub if any(r in a.lower()
+                                       for r in RESIDUOS_PROIBIDOS)]
+    chaves_v22 = [a for a in arq_hub if
+                  "34-v22-fechamento-18-18" in a or
+                  a.endswith("treinador_v22.py") or
+                  a.endswith("33_teste_v22.py") or
+                  a.endswith("34_graficos_v22.py") or
+                  a.endswith("test_khtst_v22.py") or
+                  a.endswith("v22_evidencias.png")]
+    estados_locais = [a for a in arq_hub if a.startswith("cache_dados/")
+                      or a.startswith("telemetria_out/")]
+    print(f"arquivos no Hub: {len(arq_hub)}")
+    print(f"estados de treino no Hub: {len(estados)} {estados[:5]}")
+    print(f"resíduos: {len(resid)}")
+    print(f"cache_dados/telemetria vazados: {len(estados_locais)}")
+    print(f"chaves v22 presentes: {len(chaves_v22)} -> {chaves_v22}")
+    ok = (len(estados) == 0 and len(resid) == 0
+          and len(estados_locais) == 0 and len(chaves_v22) == 6)
+    print("PUBLICAÇÃO v22 " + ("OK ✓" if ok else "COM PROBLEMAS ✗"))
+    return 0 if ok else 1
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

scripts/_merge_corpus_v22.py

@@ -0,0 +1,45 @@
+# -*- coding: utf-8 -*-
+"""Merge deduplicado das fontes parciais → cache_dados/corpus_v16.jsonl
+(regra do projeto: dedup global por hash do texto; ordem determinística)."""
+import hashlib
+import json
+import os
+import sys
+
+RAIZ = "/home/z/my-project/khtst"
+DIR_P = os.path.join(RAIZ, "cache_dados", "_parcial")
+SAIDA = os.path.join(RAIZ, "cache_dados", "corpus_v16.jsonl")
+
+
+def _hash_texto(t: str) -> str:
+    return hashlib.sha256((t or "").encode("utf-8")).hexdigest()
+
+
+def main() -> None:
+    vistos, regs = set(), []
+    for nome in sorted(os.listdir(DIR_P)):
+        if not nome.endswith(".jsonl"):
+            continue
+        with open(os.path.join(DIR_P, nome), encoding="utf-8") as f:
+            for linha in f:
+                try:
+                    r = json.loads(linha)
+                except Exception:
+                    continue
+                chave = _hash_texto(r.get("texto") or
+                                    ((r.get("entrada") or "") + "␟" +
+                                     (r.get("saida") or "")))
+                if chave and chave not in vistos:
+                    vistos.add(chave)
+                    regs.append(r)
+    with open(SAIDA, "w", encoding="utf-8") as f:
+        for r in regs:
+            f.write(json.dumps(r, ensure_ascii=False) + "\n")
+    tarefas = {}
+    for r in regs:
+        tarefas[r.get("tarefa")] = tarefas.get(r.get("tarefa"), 0) + 1
+    print(f"corpus final: {len(regs)} registros; por tarefa: {tarefas}")
+
+
+if __name__ == "__main__":
+    main()

src/khtst/acelerado/mamba3hot.c

@@ -1550,7 +1550,7 @@ static const char * const __pyx_cfilenm = __FILE__;
 static const char* const __pyx_f[] = {
   "mamba3hot.pyx",
   "View.MemoryView",
-  "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd",
+  "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd",
   "cpython/type.pxd",
 };
 /* #### Code section: utility_code_proto_before_types ### */
@@ -1803,7 +1803,7 @@ typedef struct {
 
 /* #### Code section: numeric_typedefs ### */
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":761
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":761
  * # in Cython to enable them only on the right systems.
  * 
  * ctypedef npy_int8       int8_t             # <<<<<<<<<<<<<<
@@ -1812,7 +1812,7 @@ typedef struct {
 */
 typedef npy_int8 __pyx_t_5numpy_int8_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":762
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":762
  * 
  * ctypedef npy_int8       int8_t
  * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<
@@ -1821,7 +1821,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t;
 */
 typedef npy_int16 __pyx_t_5numpy_int16_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":763
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":763
  * ctypedef npy_int8       int8_t
  * ctypedef npy_int16      int16_t
  * ctypedef npy_int32      int32_t             # <<<<<<<<<<<<<<
@@ -1830,7 +1830,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t;
 */
 typedef npy_int32 __pyx_t_5numpy_int32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":764
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":764
  * ctypedef npy_int16      int16_t
  * ctypedef npy_int32      int32_t
  * ctypedef npy_int64      int64_t             # <<<<<<<<<<<<<<
@@ -1839,7 +1839,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t;
 */
 typedef npy_int64 __pyx_t_5numpy_int64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":766
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":766
  * ctypedef npy_int64      int64_t
  * 
  * ctypedef npy_uint8      uint8_t             # <<<<<<<<<<<<<<
@@ -1848,7 +1848,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t;
 */
 typedef npy_uint8 __pyx_t_5numpy_uint8_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":767
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":767
  * 
  * ctypedef npy_uint8      uint8_t
  * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<
@@ -1857,7 +1857,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t;
 */
 typedef npy_uint16 __pyx_t_5numpy_uint16_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":768
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":768
  * ctypedef npy_uint8      uint8_t
  * ctypedef npy_uint16     uint16_t
  * ctypedef npy_uint32     uint32_t             # <<<<<<<<<<<<<<
@@ -1866,7 +1866,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t;
 */
 typedef npy_uint32 __pyx_t_5numpy_uint32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":769
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":769
  * ctypedef npy_uint16     uint16_t
  * ctypedef npy_uint32     uint32_t
  * ctypedef npy_uint64     uint64_t             # <<<<<<<<<<<<<<
@@ -1875,7 +1875,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t;
 */
 typedef npy_uint64 __pyx_t_5numpy_uint64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":771
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":771
  * ctypedef npy_uint64     uint64_t
  * 
  * ctypedef npy_float32    float32_t             # <<<<<<<<<<<<<<
@@ -1884,7 +1884,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t;
 */
 typedef npy_float32 __pyx_t_5numpy_float32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":772
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":772
  * 
  * ctypedef npy_float32    float32_t
  * ctypedef npy_float64    float64_t             # <<<<<<<<<<<<<<
@@ -1893,7 +1893,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t;
 */
 typedef npy_float64 __pyx_t_5numpy_float64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":779
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":779
  * ctypedef double complex complex128_t
  * 
  * ctypedef npy_longlong   longlong_t             # <<<<<<<<<<<<<<
@@ -1902,7 +1902,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t;
 */
 typedef npy_longlong __pyx_t_5numpy_longlong_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":780
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":780
  * 
  * ctypedef npy_longlong   longlong_t
  * ctypedef npy_ulonglong  ulonglong_t             # <<<<<<<<<<<<<<
@@ -1911,7 +1911,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t;
 */
 typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":782
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":782
  * ctypedef npy_ulonglong  ulonglong_t
  * 
  * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
@@ -1920,7 +1920,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
 */
 typedef npy_intp __pyx_t_5numpy_intp_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":783
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":783
  * 
  * ctypedef npy_intp       intp_t
  * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
@@ -1929,7 +1929,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t;
 */
 typedef npy_uintp __pyx_t_5numpy_uintp_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":785
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":785
  * ctypedef npy_uintp      uintp_t
  * 
  * ctypedef npy_double     float_t             # <<<<<<<<<<<<<<
@@ -1938,7 +1938,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t;
 */
 typedef npy_double __pyx_t_5numpy_float_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":786
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":786
  * 
  * ctypedef npy_double     float_t
  * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
@@ -1947,7 +1947,7 @@ typedef npy_double __pyx_t_5numpy_float_t;
 */
 typedef npy_double __pyx_t_5numpy_double_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":787
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":787
  * ctypedef npy_double     float_t
  * ctypedef npy_double     double_t
  * ctypedef npy_longdouble longdouble_t             # <<<<<<<<<<<<<<
@@ -18448,7 +18448,7 @@ static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
  * 
  *     ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -18459,7 +18459,7 @@ static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__
 static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArray_Descr *__pyx_v_self) {
   PyTypeObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":232
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":232
  *         @property
  *         cdef inline PyTypeObject* typeobj(self) noexcept nogil:
  *             return PyDataType_TYPEOBJ(self)             # <<<<<<<<<<<<<<
@@ -18472,7 +18472,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
  * 
  *     ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -18485,7 +18485,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
  *             return PyDataType_TYPEOBJ(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18496,7 +18496,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":236
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":236
  *         @property
  *         cdef inline char kind(self) noexcept nogil:
  *             return PyDataType_KIND(self)             # <<<<<<<<<<<<<<
@@ -18509,7 +18509,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
  *             return PyDataType_TYPEOBJ(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18522,7 +18522,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
  *             return PyDataType_KIND(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18533,7 +18533,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":240
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":240
  *         @property
  *         cdef inline char type(self) noexcept nogil:
  *             return PyDataType_TYPE(self)             # <<<<<<<<<<<<<<
@@ -18546,7 +18546,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
  *             return PyDataType_KIND(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18559,7 +18559,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
  *         # PyArray_IsNativeByteOrder(dtype.byteorder) instead of
  *         # directly accessing this field.
  *         @property             # <<<<<<<<<<<<<<
@@ -18570,7 +18570,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":249
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":249
  *         @property
  *         cdef inline char byteorder(self) noexcept nogil:
  *             return PyDataType_BYTEORDER(self)             # <<<<<<<<<<<<<<
@@ -18583,7 +18583,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
  *         # PyArray_IsNativeByteOrder(dtype.byteorder) instead of
  *         # directly accessing this field.
  *         @property             # <<<<<<<<<<<<<<
@@ -18596,7 +18596,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
  *             return PyDataType_BYTEORDER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18607,7 +18607,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
 static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":253
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":253
  *         @property
  *         cdef inline int type_num(self) noexcept nogil:
  *             return PyDataType_TYPENUM(self)             # <<<<<<<<<<<<<<
@@ -18620,7 +18620,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
  *             return PyDataType_BYTEORDER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18633,7 +18633,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
  *             return PyDataType_TYPENUM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18644,7 +18644,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_Descr *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":257
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":257
  *         @property
  *         cdef inline npy_intp itemsize(self) noexcept nogil:
  *             return PyDataType_ELSIZE(self)             # <<<<<<<<<<<<<<
@@ -18657,7 +18657,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
  *             return PyDataType_TYPENUM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18670,7 +18670,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
  *             return PyDataType_ELSIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18681,7 +18681,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_Descr *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":261
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":261
  *         @property
  *         cdef inline npy_intp alignment(self) noexcept nogil:
  *             return PyDataType_ALIGNMENT(self)             # <<<<<<<<<<<<<<
@@ -18694,7 +18694,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_D
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
  *             return PyDataType_ELSIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18707,7 +18707,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_D
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
  *         # Use fields/names with care as they may be NULL.  You must check
  *         # for this using PyDataType_HASFIELDS.
  *         @property             # <<<<<<<<<<<<<<
@@ -18721,7 +18721,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
   PyObject *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":267
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":267
  *         @property
  *         cdef inline object fields(self):
  *             return <object>PyDataType_FIELDS(self)             # <<<<<<<<<<<<<<
@@ -18742,7 +18742,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
  *         # Use fields/names with care as they may be NULL.  You must check
  *         # for this using PyDataType_HASFIELDS.
  *         @property             # <<<<<<<<<<<<<<
@@ -18757,7 +18757,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
  *             return <object>PyDataType_FIELDS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18771,7 +18771,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
   PyObject *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":271
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":271
  *         @property
  *         cdef inline tuple names(self):
  *             return <tuple>PyDataType_NAMES(self)             # <<<<<<<<<<<<<<
@@ -18792,7 +18792,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
  *             return <object>PyDataType_FIELDS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18807,7 +18807,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
  *         # valid (the pointer can be NULL). Most users should access
  *         # this field via the inline helper method PyDataType_SHAPE.
  *         @property             # <<<<<<<<<<<<<<
@@ -18818,7 +18818,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
 static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__(PyArray_Descr *__pyx_v_self) {
   PyArray_ArrayDescr *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":278
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":278
  *         @property
  *         cdef inline PyArray_ArrayDescr* subarray(self) noexcept nogil:
  *             return PyDataType_SUBARRAY(self)             # <<<<<<<<<<<<<<
@@ -18831,7 +18831,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
  *         # valid (the pointer can be NULL). Most users should access
  *         # this field via the inline helper method PyDataType_SHAPE.
  *         @property             # <<<<<<<<<<<<<<
@@ -18844,7 +18844,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
  *             return PyDataType_SUBARRAY(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18855,7 +18855,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
 static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Descr *__pyx_v_self) {
   npy_uint64 __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":283
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":283
  *         cdef inline npy_uint64 flags(self) noexcept nogil:
  *             """The data types flags."""
  *             return PyDataType_FLAGS(self)             # <<<<<<<<<<<<<<
@@ -18868,7 +18868,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
  *             return PyDataType_SUBARRAY(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18881,7 +18881,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
  *     ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18892,7 +18892,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
 static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMultiIterObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":295
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":295
  *         cdef inline int numiter(self) noexcept nogil:
  *             """The number of arrays that need to be broadcast to the same shape."""
  *             return PyArray_MultiIter_NUMITER(self)             # <<<<<<<<<<<<<<
@@ -18905,7 +18905,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
  *     ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18918,7 +18918,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
  *             return PyArray_MultiIter_NUMITER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18929,7 +18929,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":300
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":300
  *         cdef inline npy_intp size(self) noexcept nogil:
  *             """The total broadcasted size."""
  *             return PyArray_MultiIter_SIZE(self)             # <<<<<<<<<<<<<<
@@ -18942,7 +18942,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
  *             return PyArray_MultiIter_NUMITER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18955,7 +18955,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
  *             return PyArray_MultiIter_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18966,7 +18966,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":305
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":305
  *         cdef inline npy_intp index(self) noexcept nogil:
  *             """The current (1-d) index into the broadcasted result."""
  *             return PyArray_MultiIter_INDEX(self)             # <<<<<<<<<<<<<<
@@ -18979,7 +18979,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
  *             return PyArray_MultiIter_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18992,7 +18992,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
  *             return PyArray_MultiIter_INDEX(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19003,7 +19003,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
 static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":310
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":310
  *         cdef inline int nd(self) noexcept nogil:
  *             """The number of dimensions in the broadcasted result."""
  *             return PyArray_MultiIter_NDIM(self)             # <<<<<<<<<<<<<<
@@ -19016,7 +19016,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
  *             return PyArray_MultiIter_INDEX(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19029,7 +19029,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
  *             return PyArray_MultiIter_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19040,7 +19040,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":315
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":315
  *         cdef inline npy_intp* dimensions(self) noexcept nogil:
  *             """The shape of the broadcasted result."""
  *             return PyArray_MultiIter_DIMS(self)             # <<<<<<<<<<<<<<
@@ -19053,7 +19053,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
  *             return PyArray_MultiIter_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19066,7 +19066,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
  *             return PyArray_MultiIter_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19077,7 +19077,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
 static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMultiIterObject *__pyx_v_self) {
   void **__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":321
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":321
  *             """An array of iterator objects that holds the iterators for the arrays to be broadcast together.
  *             On return, the iterators are adjusted for broadcasting."""
  *             return PyArray_MultiIter_ITERS(self)             # <<<<<<<<<<<<<<
@@ -19090,7 +19090,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
  *             return PyArray_MultiIter_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19103,7 +19103,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
  *         # Instead, we use properties that map to the corresponding C-API functions.
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19114,7 +19114,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":339
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":339
  *             """Returns a borrowed reference to the object owning the data/memory.
  *             """
  *             return PyArray_BASE(self)             # <<<<<<<<<<<<<<
@@ -19127,7 +19127,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObje
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
  *         # Instead, we use properties that map to the corresponding C-API functions.
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19140,7 +19140,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObje
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
  *             return PyArray_BASE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19154,7 +19154,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
   PyArray_Descr *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":345
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":345
  *             """Returns an owned reference to the dtype of the array.
  *             """
  *             return <dtype>PyArray_DESCR(self)             # <<<<<<<<<<<<<<
@@ -19175,7 +19175,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
  *             return PyArray_BASE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19190,7 +19190,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
  *             return <dtype>PyArray_DESCR(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19201,7 +19201,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
 static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":351
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":351
  *             """Returns the number of dimensions in the array.
  *             """
  *             return PyArray_NDIM(self)             # <<<<<<<<<<<<<<
@@ -19214,7 +19214,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
  *             return <dtype>PyArray_DESCR(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19227,7 +19227,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
  *             return PyArray_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19238,7 +19238,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":359
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":359
  *             Can return NULL for 0-dimensional arrays.
  *             """
  *             return PyArray_DIMS(self)             # <<<<<<<<<<<<<<
@@ -19251,7 +19251,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
  *             return PyArray_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19264,7 +19264,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
  *             return PyArray_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19275,7 +19275,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":366
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":366
  *             The number of elements matches the number of dimensions of the array (ndim).
  *             """
  *             return PyArray_STRIDES(self)             # <<<<<<<<<<<<<<
@@ -19288,7 +19288,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
  *             return PyArray_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19301,7 +19301,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
  *             return PyArray_STRIDES(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19312,7 +19312,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":372
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":372
  *             """Returns the total size (in number of elements) of the array.
  *             """
  *             return PyArray_SIZE(self)             # <<<<<<<<<<<<<<
@@ -19325,7 +19325,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
  *             return PyArray_STRIDES(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19338,7 +19338,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
  *             return PyArray_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19349,7 +19349,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
 static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *__pyx_v_self) {
   char *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":381
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":381
  *             of `PyArray_DATA()` instead, which returns a 'void*'.
  *             """
  *             return PyArray_BYTES(self)             # <<<<<<<<<<<<<<
@@ -19362,7 +19362,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
  *             return PyArray_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19375,7 +19375,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
  * ctypedef long double complex clongdouble_t
  * 
  * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
@@ -19392,7 +19392,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":795
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":795
  * 
  * cdef inline object PyArray_MultiIterNew1(a):
  *     return PyArray_MultiIterNew(1, <void*>a)             # <<<<<<<<<<<<<<
@@ -19412,7 +19412,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
  * ctypedef long double complex clongdouble_t
  * 
  * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
@@ -19431,7 +19431,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
  *     return PyArray_MultiIterNew(1, <void*>a)
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
@@ -19448,7 +19448,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":798
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":798
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)             # <<<<<<<<<<<<<<
@@ -19468,7 +19468,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
  *     return PyArray_MultiIterNew(1, <void*>a)
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
@@ -19487,7 +19487,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
@@ -19504,7 +19504,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":801
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":801
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)             # <<<<<<<<<<<<<<
@@ -19524,7 +19524,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
@@ -19543,7 +19543,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
@@ -19560,7 +19560,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":804
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":804
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)             # <<<<<<<<<<<<<<
@@ -19580,7 +19580,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
@@ -19599,7 +19599,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
@@ -19616,7 +19616,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":807
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":807
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)             # <<<<<<<<<<<<<<
@@ -19636,7 +19636,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
@@ -19655,7 +19655,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
@@ -19670,7 +19670,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   PyObject *__pyx_t_2;
   __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
@@ -19682,7 +19682,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   if (__pyx_t_1) {
 
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":811
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":811
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):
  *         return <tuple>d.subarray.shape             # <<<<<<<<<<<<<<
@@ -19703,7 +19703,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 
     goto __pyx_L0;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
@@ -19712,7 +19712,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 */
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":813
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":813
  *         return <tuple>d.subarray.shape
  *     else:
  *         return ()             # <<<<<<<<<<<<<<
@@ -19732,7 +19732,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
     goto __pyx_L0;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
@@ -19747,7 +19747,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
  * 
  *     ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -19758,7 +19758,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":949
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":949
  *         @property
  *         cdef inline int nin(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin             # <<<<<<<<<<<<<<
@@ -19771,7 +19771,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
  * 
  *     ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -19784,7 +19784,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19795,7 +19795,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":953
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":953
  *         @property
  *         cdef inline int nout(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout             # <<<<<<<<<<<<<<
@@ -19808,7 +19808,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19821,7 +19821,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19832,7 +19832,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":957
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":957
  *         @property
  *         cdef inline int nargs(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs             # <<<<<<<<<<<<<<
@@ -19845,7 +19845,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19858,7 +19858,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19869,7 +19869,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
 static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___get__(PyUFuncObject *__pyx_v_self) {
   PyUFuncGenericFunction *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":961
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":961
  *         @property
  *         cdef inline PyUFuncGenericFunction* functions(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions             # <<<<<<<<<<<<<<
@@ -19882,7 +19882,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19895,7 +19895,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19906,7 +19906,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
 static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *__pyx_v_self) {
   void **__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":965
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":965
  *         @property
  *         cdef inline void ** data(self) noexcept nogil:
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data             # <<<<<<<<<<<<<<
@@ -19919,7 +19919,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19932,7 +19932,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19943,7 +19943,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":969
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":969
  *         @property
  *         cdef inline int ntypes(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes             # <<<<<<<<<<<<<<
@@ -19956,7 +19956,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19969,7 +19969,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19980,7 +19980,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
 static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObject *__pyx_v_self) {
   char const *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":973
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":973
  *         @property
  *         cdef inline const char* name(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name             # <<<<<<<<<<<<<<
@@ -19993,7 +19993,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20006,7 +20006,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20017,7 +20017,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
 static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObject *__pyx_v_self) {
   char const *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":977
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":977
  *         @property
  *         cdef inline const char* doc(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc             # <<<<<<<<<<<<<<
@@ -20030,7 +20030,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20043,7 +20043,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20054,7 +20054,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
 static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__pyx_v_self) {
   void *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":981
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":981
  *         @property
  *         cdef inline void* ptr(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr             # <<<<<<<<<<<<<<
@@ -20067,7 +20067,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20080,7 +20080,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20091,7 +20091,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":985
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":985
  *         @property
  *         cdef inline PyObject* obj(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj             # <<<<<<<<<<<<<<
@@ -20104,7 +20104,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20117,7 +20117,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20128,7 +20128,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":989
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":989
  *         @property
  *         cdef inline PyObject* userloops(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).userloops             # <<<<<<<<<<<<<<
@@ -20141,7 +20141,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20154,7 +20154,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
  *     int _import_umath() except -1
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:             # <<<<<<<<<<<<<<
@@ -20168,7 +20168,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
   const char *__pyx_filename = NULL;
   int __pyx_clineno = 0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1066
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1066
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:
  *     Py_INCREF(base) # important to do this before stealing the reference below!             # <<<<<<<<<<<<<<
@@ -20177,7 +20177,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
 */
   Py_INCREF(__pyx_v_base);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1067
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1067
  * cdef inline void set_array_base(ndarray arr, object base) except *:
  *     Py_INCREF(base) # important to do this before stealing the reference below!
  *     PyArray_SetBaseObject(arr, base)             # <<<<<<<<<<<<<<
@@ -20187,7 +20187,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
   __pyx_t_1 = PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base); if (unlikely(__pyx_t_1 == ((int)-1))) __PYX_ERR(2, 1067, __pyx_L1_error)
 
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
  *     int _import_umath() except -1
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:             # <<<<<<<<<<<<<<
@@ -20203,7 +20203,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
 
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
  *     PyArray_SetBaseObject(arr, base)
  * 
  * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
@@ -20218,7 +20218,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   int __pyx_t_1;
   __Pyx_RefNannySetupContext("get_array_base", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1070
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1070
  * 
  * cdef inline object get_array_base(ndarray arr):
  *     base = PyArray_BASE(arr)             # <<<<<<<<<<<<<<
@@ -20227,7 +20227,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
 */
   __pyx_v_base = PyArray_BASE(__pyx_v_arr);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
  * cdef inline object get_array_base(ndarray arr):
  *     base = PyArray_BASE(arr)
  *     if base is NULL:             # <<<<<<<<<<<<<<
@@ -20239,7 +20239,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   if (__pyx_t_1) {
 
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1072
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1072
  *     base = PyArray_BASE(arr)
  *     if base is NULL:
  *         return None             # <<<<<<<<<<<<<<
@@ -20256,7 +20256,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
     }
     goto __pyx_L0;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
  * cdef inline object get_array_base(ndarray arr):
  *     base = PyArray_BASE(arr)
  *     if base is NULL:             # <<<<<<<<<<<<<<
@@ -20265,7 +20265,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
 */
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1073
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1073
  *     if base is NULL:
  *         return None
  *     return <object>base             # <<<<<<<<<<<<<<
@@ -20283,7 +20283,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
  *     PyArray_SetBaseObject(arr, base)
  * 
  * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
@@ -20299,7 +20299,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
  * # Versions of the import_* functions which are more suitable for
  * # Cython code.
  * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
@@ -20325,7 +20325,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("import_array", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
  * # Cython code.
  * cdef inline int import_array() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20341,7 +20341,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1079
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1079
  * cdef inline int import_array() except -1:
  *     try:
  *         __pyx_import_array()             # <<<<<<<<<<<<<<
@@ -20351,7 +20351,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
       __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1079, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
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  *     try:             # <<<<<<<<<<<<<<
@@ -20365,7 +20365,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1080
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1080
  *     try:
  *         __pyx_import_array()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -20380,7 +20380,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1081
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1081
  *         __pyx_import_array()
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  *         raise ImportError("numpy._core.multiarray failed to import")             # <<<<<<<<<<<<<<
@@ -20402,7 +20402,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
  * # Cython code.
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  *     try:             # <<<<<<<<<<<<<<
@@ -20418,7 +20418,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
  * # Versions of the import_* functions which are more suitable for
  * # Cython code.
  * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
@@ -20443,7 +20443,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
  *         raise ImportError("numpy._core.multiarray failed to import")
  * 
  * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
@@ -20469,7 +20469,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("import_umath", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20485,7 +20485,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1085
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1085
  * cdef inline int import_umath() except -1:
  *     try:
  *         _import_umath()             # <<<<<<<<<<<<<<
@@ -20495,7 +20495,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
       __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1085, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20509,7 +20509,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1086
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1086
  *     try:
  *         _import_umath()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -20524,7 +20524,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1087
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1087
  *         _import_umath()
  *     except Exception:
  *         raise ImportError("numpy._core.umath failed to import")             # <<<<<<<<<<<<<<
@@ -20546,7 +20546,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20562,7 +20562,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
  *         raise ImportError("numpy._core.multiarray failed to import")
  * 
  * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
@@ -20587,7 +20587,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
  *         raise ImportError("numpy._core.umath failed to import")
  * 
  * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
@@ -20613,7 +20613,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("import_ufunc", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20629,7 +20629,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1091
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1091
  * cdef inline int import_ufunc() except -1:
  *     try:
  *         _import_umath()             # <<<<<<<<<<<<<<
@@ -20639,7 +20639,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
       __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1091, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20653,7 +20653,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1092
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1092
  *     try:
  *         _import_umath()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -20668,7 +20668,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1093
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1093
  *         _import_umath()
  *     except Exception:
  *         raise ImportError("numpy._core.umath failed to import")             # <<<<<<<<<<<<<<
@@ -20690,7 +20690,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20706,7 +20706,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
  *         raise ImportError("numpy._core.umath failed to import")
  * 
  * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
@@ -20731,7 +20731,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
  * 
  * 
  * cdef inline bint is_timedelta64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -20742,7 +20742,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
 static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_obj) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1108
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1108
  *     bool
  *     """
  *     return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type)             # <<<<<<<<<<<<<<
@@ -20755,7 +20755,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
  * 
  * 
  * cdef inline bint is_timedelta64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -20769,7 +20769,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
  * 
  * 
  * cdef inline bint is_datetime64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -20780,7 +20780,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
 static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_obj) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1123
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1123
  *     bool
  *     """
  *     return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type)             # <<<<<<<<<<<<<<
@@ -20793,7 +20793,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
  * 
  * 
  * cdef inline bint is_datetime64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -20807,7 +20807,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
  * 
  * 
  * cdef inline npy_datetime get_datetime64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20818,7 +20818,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
 static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *__pyx_v_obj) {
   npy_datetime __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1133
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1133
  *     also needed.  That can be found using `get_datetime64_unit`.
  *     """
  *     return _PyDatetimeScalarObject_GetValue(obj)             # <<<<<<<<<<<<<<
@@ -20831,7 +20831,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
  * 
  * 
  * cdef inline npy_datetime get_datetime64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20844,7 +20844,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
  * 
  * 
  * cdef inline npy_timedelta get_timedelta64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20855,7 +20855,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
 static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject *__pyx_v_obj) {
   npy_timedelta __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1140
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1140
  *     returns the int64 value underlying scalar numpy timedelta64 object
  *     """
  *     return _PyTimedeltaScalarObject_GetValue(obj)             # <<<<<<<<<<<<<<
@@ -20868,7 +20868,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
  * 
  * 
  * cdef inline npy_timedelta get_timedelta64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20881,7 +20881,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
  * 
  * 
  * cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20892,7 +20892,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
 static CYTHON_INLINE NPY_DATETIMEUNIT __pyx_f_5numpy_get_datetime64_unit(PyObject *__pyx_v_obj) {
   NPY_DATETIMEUNIT __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1147
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1147
  *     returns the unit part of the dtype for a numpy datetime64 object.
  *     """
  *     return _PyDatetimeScalarObject_GetMetadata(obj).base             # <<<<<<<<<<<<<<
@@ -20905,7 +20905,7 @@ static CYTHON_INLINE NPY_DATETIMEUNIT __pyx_f_5numpy_get_datetime64_unit(PyObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
  * 
  * 
  * cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:             # <<<<<<<<<<<<<<

src/khtst/acelerado/mamba3hot.cpython-312-x86_64-linux-gnu.so

@@ -1,3 +1,3 @@
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 size 1380504

src/khtst/acelerado/mc_jepa.cpython-312-x86_64-linux-gnu.so

@@ -1,3 +1,3 @@
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+oid sha256:17883a82433953297327cfb54de81dc5219a8989b7349201c4e1eed3a5cd5aac
+size 1427664

src/khtst/acelerado/nucleos.c

@@ -1546,7 +1546,7 @@ static const char * const __pyx_cfilenm = __FILE__;
 static const char* const __pyx_f[] = {
   "nucleos.pyx",
   "View.MemoryView",
-  "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd",
+  "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd",
   "cpython/type.pxd",
 };
 /* #### Code section: utility_code_proto_before_types ### */
@@ -1799,7 +1799,7 @@ typedef struct {
 
 /* #### Code section: numeric_typedefs ### */
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":761
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":761
  * # in Cython to enable them only on the right systems.
  * 
  * ctypedef npy_int8       int8_t             # <<<<<<<<<<<<<<
@@ -1808,7 +1808,7 @@ typedef struct {
 */
 typedef npy_int8 __pyx_t_5numpy_int8_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":762
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":762
  * 
  * ctypedef npy_int8       int8_t
  * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<
@@ -1817,7 +1817,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t;
 */
 typedef npy_int16 __pyx_t_5numpy_int16_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":763
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":763
  * ctypedef npy_int8       int8_t
  * ctypedef npy_int16      int16_t
  * ctypedef npy_int32      int32_t             # <<<<<<<<<<<<<<
@@ -1826,7 +1826,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t;
 */
 typedef npy_int32 __pyx_t_5numpy_int32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":764
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":764
  * ctypedef npy_int16      int16_t
  * ctypedef npy_int32      int32_t
  * ctypedef npy_int64      int64_t             # <<<<<<<<<<<<<<
@@ -1835,7 +1835,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t;
 */
 typedef npy_int64 __pyx_t_5numpy_int64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":766
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":766
  * ctypedef npy_int64      int64_t
  * 
  * ctypedef npy_uint8      uint8_t             # <<<<<<<<<<<<<<
@@ -1844,7 +1844,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t;
 */
 typedef npy_uint8 __pyx_t_5numpy_uint8_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":767
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":767
  * 
  * ctypedef npy_uint8      uint8_t
  * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<
@@ -1853,7 +1853,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t;
 */
 typedef npy_uint16 __pyx_t_5numpy_uint16_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":768
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":768
  * ctypedef npy_uint8      uint8_t
  * ctypedef npy_uint16     uint16_t
  * ctypedef npy_uint32     uint32_t             # <<<<<<<<<<<<<<
@@ -1862,7 +1862,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t;
 */
 typedef npy_uint32 __pyx_t_5numpy_uint32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":769
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":769
  * ctypedef npy_uint16     uint16_t
  * ctypedef npy_uint32     uint32_t
  * ctypedef npy_uint64     uint64_t             # <<<<<<<<<<<<<<
@@ -1871,7 +1871,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t;
 */
 typedef npy_uint64 __pyx_t_5numpy_uint64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":771
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":771
  * ctypedef npy_uint64     uint64_t
  * 
  * ctypedef npy_float32    float32_t             # <<<<<<<<<<<<<<
@@ -1880,7 +1880,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t;
 */
 typedef npy_float32 __pyx_t_5numpy_float32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":772
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":772
  * 
  * ctypedef npy_float32    float32_t
  * ctypedef npy_float64    float64_t             # <<<<<<<<<<<<<<
@@ -1889,7 +1889,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t;
 */
 typedef npy_float64 __pyx_t_5numpy_float64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":779
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":779
  * ctypedef double complex complex128_t
  * 
  * ctypedef npy_longlong   longlong_t             # <<<<<<<<<<<<<<
@@ -1898,7 +1898,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t;
 */
 typedef npy_longlong __pyx_t_5numpy_longlong_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":780
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":780
  * 
  * ctypedef npy_longlong   longlong_t
  * ctypedef npy_ulonglong  ulonglong_t             # <<<<<<<<<<<<<<
@@ -1907,7 +1907,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t;
 */
 typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":782
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":782
  * ctypedef npy_ulonglong  ulonglong_t
  * 
  * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
@@ -1916,7 +1916,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
 */
 typedef npy_intp __pyx_t_5numpy_intp_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":783
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":783
  * 
  * ctypedef npy_intp       intp_t
  * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
@@ -1925,7 +1925,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t;
 */
 typedef npy_uintp __pyx_t_5numpy_uintp_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":785
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":785
  * ctypedef npy_uintp      uintp_t
  * 
  * ctypedef npy_double     float_t             # <<<<<<<<<<<<<<
@@ -1934,7 +1934,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t;
 */
 typedef npy_double __pyx_t_5numpy_float_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":786
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":786
  * 
  * ctypedef npy_double     float_t
  * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
@@ -1943,7 +1943,7 @@ typedef npy_double __pyx_t_5numpy_float_t;
 */
 typedef npy_double __pyx_t_5numpy_double_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":787
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":787
  * ctypedef npy_double     float_t
  * ctypedef npy_double     double_t
  * ctypedef npy_longdouble longdouble_t             # <<<<<<<<<<<<<<
@@ -18461,7 +18461,7 @@ static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
  * 
  *     ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -18472,7 +18472,7 @@ static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__
 static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArray_Descr *__pyx_v_self) {
   PyTypeObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":232
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":232
  *         @property
  *         cdef inline PyTypeObject* typeobj(self) noexcept nogil:
  *             return PyDataType_TYPEOBJ(self)             # <<<<<<<<<<<<<<
@@ -18485,7 +18485,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
  * 
  *     ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -18498,7 +18498,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
  *             return PyDataType_TYPEOBJ(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18509,7 +18509,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":236
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":236
  *         @property
  *         cdef inline char kind(self) noexcept nogil:
  *             return PyDataType_KIND(self)             # <<<<<<<<<<<<<<
@@ -18522,7 +18522,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
  *             return PyDataType_TYPEOBJ(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18535,7 +18535,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
  *             return PyDataType_KIND(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18546,7 +18546,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":240
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":240
  *         @property
  *         cdef inline char type(self) noexcept nogil:
  *             return PyDataType_TYPE(self)             # <<<<<<<<<<<<<<
@@ -18559,7 +18559,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
  *             return PyDataType_KIND(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18572,7 +18572,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
  *         # PyArray_IsNativeByteOrder(dtype.byteorder) instead of
  *         # directly accessing this field.
  *         @property             # <<<<<<<<<<<<<<
@@ -18583,7 +18583,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":249
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":249
  *         @property
  *         cdef inline char byteorder(self) noexcept nogil:
  *             return PyDataType_BYTEORDER(self)             # <<<<<<<<<<<<<<
@@ -18596,7 +18596,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
  *         # PyArray_IsNativeByteOrder(dtype.byteorder) instead of
  *         # directly accessing this field.
  *         @property             # <<<<<<<<<<<<<<
@@ -18609,7 +18609,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
  *             return PyDataType_BYTEORDER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18620,7 +18620,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
 static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":253
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":253
  *         @property
  *         cdef inline int type_num(self) noexcept nogil:
  *             return PyDataType_TYPENUM(self)             # <<<<<<<<<<<<<<
@@ -18633,7 +18633,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
  *             return PyDataType_BYTEORDER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18646,7 +18646,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
  *             return PyDataType_TYPENUM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18657,7 +18657,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_Descr *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":257
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":257
  *         @property
  *         cdef inline npy_intp itemsize(self) noexcept nogil:
  *             return PyDataType_ELSIZE(self)             # <<<<<<<<<<<<<<
@@ -18670,7 +18670,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
  *             return PyDataType_TYPENUM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18683,7 +18683,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
  *             return PyDataType_ELSIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18694,7 +18694,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_Descr *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":261
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":261
  *         @property
  *         cdef inline npy_intp alignment(self) noexcept nogil:
  *             return PyDataType_ALIGNMENT(self)             # <<<<<<<<<<<<<<
@@ -18707,7 +18707,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_D
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
  *             return PyDataType_ELSIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18720,7 +18720,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_D
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
  *         # Use fields/names with care as they may be NULL.  You must check
  *         # for this using PyDataType_HASFIELDS.
  *         @property             # <<<<<<<<<<<<<<
@@ -18734,7 +18734,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
   PyObject *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":267
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":267
  *         @property
  *         cdef inline object fields(self):
  *             return <object>PyDataType_FIELDS(self)             # <<<<<<<<<<<<<<
@@ -18755,7 +18755,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
  *         # Use fields/names with care as they may be NULL.  You must check
  *         # for this using PyDataType_HASFIELDS.
  *         @property             # <<<<<<<<<<<<<<
@@ -18770,7 +18770,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
  *             return <object>PyDataType_FIELDS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18784,7 +18784,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
   PyObject *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":271
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":271
  *         @property
  *         cdef inline tuple names(self):
  *             return <tuple>PyDataType_NAMES(self)             # <<<<<<<<<<<<<<
@@ -18805,7 +18805,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
  *             return <object>PyDataType_FIELDS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18820,7 +18820,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
  *         # valid (the pointer can be NULL). Most users should access
  *         # this field via the inline helper method PyDataType_SHAPE.
  *         @property             # <<<<<<<<<<<<<<
@@ -18831,7 +18831,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
 static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__(PyArray_Descr *__pyx_v_self) {
   PyArray_ArrayDescr *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":278
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":278
  *         @property
  *         cdef inline PyArray_ArrayDescr* subarray(self) noexcept nogil:
  *             return PyDataType_SUBARRAY(self)             # <<<<<<<<<<<<<<
@@ -18844,7 +18844,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
  *         # valid (the pointer can be NULL). Most users should access
  *         # this field via the inline helper method PyDataType_SHAPE.
  *         @property             # <<<<<<<<<<<<<<
@@ -18857,7 +18857,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
  *             return PyDataType_SUBARRAY(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18868,7 +18868,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
 static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Descr *__pyx_v_self) {
   npy_uint64 __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":283
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":283
  *         cdef inline npy_uint64 flags(self) noexcept nogil:
  *             """The data types flags."""
  *             return PyDataType_FLAGS(self)             # <<<<<<<<<<<<<<
@@ -18881,7 +18881,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
  *             return PyDataType_SUBARRAY(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18894,7 +18894,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
  *     ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18905,7 +18905,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
 static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMultiIterObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":295
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":295
  *         cdef inline int numiter(self) noexcept nogil:
  *             """The number of arrays that need to be broadcast to the same shape."""
  *             return PyArray_MultiIter_NUMITER(self)             # <<<<<<<<<<<<<<
@@ -18918,7 +18918,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
  *     ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18931,7 +18931,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
  *             return PyArray_MultiIter_NUMITER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18942,7 +18942,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":300
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":300
  *         cdef inline npy_intp size(self) noexcept nogil:
  *             """The total broadcasted size."""
  *             return PyArray_MultiIter_SIZE(self)             # <<<<<<<<<<<<<<
@@ -18955,7 +18955,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
  *             return PyArray_MultiIter_NUMITER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18968,7 +18968,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
  *             return PyArray_MultiIter_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18979,7 +18979,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":305
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":305
  *         cdef inline npy_intp index(self) noexcept nogil:
  *             """The current (1-d) index into the broadcasted result."""
  *             return PyArray_MultiIter_INDEX(self)             # <<<<<<<<<<<<<<
@@ -18992,7 +18992,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
  *             return PyArray_MultiIter_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19005,7 +19005,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
  *             return PyArray_MultiIter_INDEX(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19016,7 +19016,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
 static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":310
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":310
  *         cdef inline int nd(self) noexcept nogil:
  *             """The number of dimensions in the broadcasted result."""
  *             return PyArray_MultiIter_NDIM(self)             # <<<<<<<<<<<<<<
@@ -19029,7 +19029,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
  *             return PyArray_MultiIter_INDEX(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19042,7 +19042,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
  *             return PyArray_MultiIter_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19053,7 +19053,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":315
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":315
  *         cdef inline npy_intp* dimensions(self) noexcept nogil:
  *             """The shape of the broadcasted result."""
  *             return PyArray_MultiIter_DIMS(self)             # <<<<<<<<<<<<<<
@@ -19066,7 +19066,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
  *             return PyArray_MultiIter_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19079,7 +19079,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
  *             return PyArray_MultiIter_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19090,7 +19090,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
 static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMultiIterObject *__pyx_v_self) {
   void **__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":321
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":321
  *             """An array of iterator objects that holds the iterators for the arrays to be broadcast together.
  *             On return, the iterators are adjusted for broadcasting."""
  *             return PyArray_MultiIter_ITERS(self)             # <<<<<<<<<<<<<<
@@ -19103,7 +19103,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
  *             return PyArray_MultiIter_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19116,7 +19116,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
  *         # Instead, we use properties that map to the corresponding C-API functions.
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19127,7 +19127,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":339
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":339
  *             """Returns a borrowed reference to the object owning the data/memory.
  *             """
  *             return PyArray_BASE(self)             # <<<<<<<<<<<<<<
@@ -19140,7 +19140,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObje
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
  *         # Instead, we use properties that map to the corresponding C-API functions.
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19153,7 +19153,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObje
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
  *             return PyArray_BASE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19167,7 +19167,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
   PyArray_Descr *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":345
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":345
  *             """Returns an owned reference to the dtype of the array.
  *             """
  *             return <dtype>PyArray_DESCR(self)             # <<<<<<<<<<<<<<
@@ -19188,7 +19188,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
  *             return PyArray_BASE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19203,7 +19203,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
  *             return <dtype>PyArray_DESCR(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19214,7 +19214,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
 static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":351
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":351
  *             """Returns the number of dimensions in the array.
  *             """
  *             return PyArray_NDIM(self)             # <<<<<<<<<<<<<<
@@ -19227,7 +19227,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
  *             return <dtype>PyArray_DESCR(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19240,7 +19240,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
  *             return PyArray_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19251,7 +19251,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":359
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":359
  *             Can return NULL for 0-dimensional arrays.
  *             """
  *             return PyArray_DIMS(self)             # <<<<<<<<<<<<<<
@@ -19264,7 +19264,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
  *             return PyArray_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19277,7 +19277,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
  *             return PyArray_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19288,7 +19288,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":366
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":366
  *             The number of elements matches the number of dimensions of the array (ndim).
  *             """
  *             return PyArray_STRIDES(self)             # <<<<<<<<<<<<<<
@@ -19301,7 +19301,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
  *             return PyArray_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19314,7 +19314,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
  *             return PyArray_STRIDES(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19325,7 +19325,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":372
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":372
  *             """Returns the total size (in number of elements) of the array.
  *             """
  *             return PyArray_SIZE(self)             # <<<<<<<<<<<<<<
@@ -19338,7 +19338,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
  *             return PyArray_STRIDES(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19351,7 +19351,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
  *             return PyArray_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19362,7 +19362,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
 static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *__pyx_v_self) {
   char *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":381
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":381
  *             of `PyArray_DATA()` instead, which returns a 'void*'.
  *             """
  *             return PyArray_BYTES(self)             # <<<<<<<<<<<<<<
@@ -19375,7 +19375,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
  *             return PyArray_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19388,7 +19388,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
  * ctypedef long double complex clongdouble_t
  * 
  * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
@@ -19405,7 +19405,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":795
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":795
  * 
  * cdef inline object PyArray_MultiIterNew1(a):
  *     return PyArray_MultiIterNew(1, <void*>a)             # <<<<<<<<<<<<<<
@@ -19425,7 +19425,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
  * ctypedef long double complex clongdouble_t
  * 
  * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
@@ -19444,7 +19444,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
  *     return PyArray_MultiIterNew(1, <void*>a)
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
@@ -19461,7 +19461,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":798
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":798
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)             # <<<<<<<<<<<<<<
@@ -19481,7 +19481,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
  *     return PyArray_MultiIterNew(1, <void*>a)
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
@@ -19500,7 +19500,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
@@ -19517,7 +19517,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":801
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":801
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)             # <<<<<<<<<<<<<<
@@ -19537,7 +19537,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
@@ -19556,7 +19556,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
@@ -19573,7 +19573,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":804
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":804
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)             # <<<<<<<<<<<<<<
@@ -19593,7 +19593,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
@@ -19612,7 +19612,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
@@ -19629,7 +19629,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":807
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":807
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)             # <<<<<<<<<<<<<<
@@ -19649,7 +19649,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
@@ -19668,7 +19668,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
@@ -19683,7 +19683,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   PyObject *__pyx_t_2;
   __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
@@ -19695,7 +19695,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   if (__pyx_t_1) {
 
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":811
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":811
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):
  *         return <tuple>d.subarray.shape             # <<<<<<<<<<<<<<
@@ -19716,7 +19716,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 
     goto __pyx_L0;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
@@ -19725,7 +19725,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 */
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":813
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":813
  *         return <tuple>d.subarray.shape
  *     else:
  *         return ()             # <<<<<<<<<<<<<<
@@ -19745,7 +19745,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
     goto __pyx_L0;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
@@ -19760,7 +19760,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
  * 
  *     ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -19771,7 +19771,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":949
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":949
  *         @property
  *         cdef inline int nin(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin             # <<<<<<<<<<<<<<
@@ -19784,7 +19784,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
  * 
  *     ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -19797,7 +19797,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19808,7 +19808,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":953
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":953
  *         @property
  *         cdef inline int nout(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout             # <<<<<<<<<<<<<<
@@ -19821,7 +19821,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19834,7 +19834,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19845,7 +19845,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":957
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":957
  *         @property
  *         cdef inline int nargs(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs             # <<<<<<<<<<<<<<
@@ -19858,7 +19858,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19871,7 +19871,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19882,7 +19882,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
 static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___get__(PyUFuncObject *__pyx_v_self) {
   PyUFuncGenericFunction *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":961
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":961
  *         @property
  *         cdef inline PyUFuncGenericFunction* functions(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions             # <<<<<<<<<<<<<<
@@ -19895,7 +19895,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19908,7 +19908,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19919,7 +19919,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
 static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *__pyx_v_self) {
   void **__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":965
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":965
  *         @property
  *         cdef inline void ** data(self) noexcept nogil:
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data             # <<<<<<<<<<<<<<
@@ -19932,7 +19932,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19945,7 +19945,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19956,7 +19956,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":969
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":969
  *         @property
  *         cdef inline int ntypes(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes             # <<<<<<<<<<<<<<
@@ -19969,7 +19969,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19982,7 +19982,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19993,7 +19993,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
 static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObject *__pyx_v_self) {
   char const *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":973
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":973
  *         @property
  *         cdef inline const char* name(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name             # <<<<<<<<<<<<<<
@@ -20006,7 +20006,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20019,7 +20019,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20030,7 +20030,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
 static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObject *__pyx_v_self) {
   char const *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":977
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":977
  *         @property
  *         cdef inline const char* doc(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc             # <<<<<<<<<<<<<<
@@ -20043,7 +20043,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20056,7 +20056,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20067,7 +20067,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
 static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__pyx_v_self) {
   void *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":981
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":981
  *         @property
  *         cdef inline void* ptr(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr             # <<<<<<<<<<<<<<
@@ -20080,7 +20080,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20093,7 +20093,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20104,7 +20104,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":985
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":985
  *         @property
  *         cdef inline PyObject* obj(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj             # <<<<<<<<<<<<<<
@@ -20117,7 +20117,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20130,7 +20130,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20141,7 +20141,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":989
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":989
  *         @property
  *         cdef inline PyObject* userloops(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).userloops             # <<<<<<<<<<<<<<
@@ -20154,7 +20154,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20167,7 +20167,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
  *     int _import_umath() except -1
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:             # <<<<<<<<<<<<<<
@@ -20181,7 +20181,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
   const char *__pyx_filename = NULL;
   int __pyx_clineno = 0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1066
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1066
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:
  *     Py_INCREF(base) # important to do this before stealing the reference below!             # <<<<<<<<<<<<<<
@@ -20190,7 +20190,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
 */
   Py_INCREF(__pyx_v_base);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1067
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1067
  * cdef inline void set_array_base(ndarray arr, object base) except *:
  *     Py_INCREF(base) # important to do this before stealing the reference below!
  *     PyArray_SetBaseObject(arr, base)             # <<<<<<<<<<<<<<
@@ -20200,7 +20200,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
   __pyx_t_1 = PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base); if (unlikely(__pyx_t_1 == ((int)-1))) __PYX_ERR(2, 1067, __pyx_L1_error)
 
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
  *     int _import_umath() except -1
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:             # <<<<<<<<<<<<<<
@@ -20216,7 +20216,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
 
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
  *     PyArray_SetBaseObject(arr, base)
  * 
  * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
@@ -20231,7 +20231,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   int __pyx_t_1;
   __Pyx_RefNannySetupContext("get_array_base", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1070
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1070
  * 
  * cdef inline object get_array_base(ndarray arr):
  *     base = PyArray_BASE(arr)             # <<<<<<<<<<<<<<
@@ -20240,7 +20240,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
 */
   __pyx_v_base = PyArray_BASE(__pyx_v_arr);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
  * cdef inline object get_array_base(ndarray arr):
  *     base = PyArray_BASE(arr)
  *     if base is NULL:             # <<<<<<<<<<<<<<
@@ -20252,7 +20252,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   if (__pyx_t_1) {
 
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1072
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1072
  *     base = PyArray_BASE(arr)
  *     if base is NULL:
  *         return None             # <<<<<<<<<<<<<<
@@ -20269,7 +20269,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
     }
     goto __pyx_L0;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
  * cdef inline object get_array_base(ndarray arr):
  *     base = PyArray_BASE(arr)
  *     if base is NULL:             # <<<<<<<<<<<<<<
@@ -20278,7 +20278,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
 */
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1073
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1073
  *     if base is NULL:
  *         return None
  *     return <object>base             # <<<<<<<<<<<<<<
@@ -20296,7 +20296,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
  *     PyArray_SetBaseObject(arr, base)
  * 
  * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
@@ -20312,7 +20312,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
  * # Versions of the import_* functions which are more suitable for
  * # Cython code.
  * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
@@ -20338,7 +20338,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("import_array", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
  * # Cython code.
  * cdef inline int import_array() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20354,7 +20354,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1079
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1079
  * cdef inline int import_array() except -1:
  *     try:
  *         __pyx_import_array()             # <<<<<<<<<<<<<<
@@ -20364,7 +20364,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
       __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1079, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
  * # Cython code.
  * cdef inline int import_array() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20378,7 +20378,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1080
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1080
  *     try:
  *         __pyx_import_array()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -20393,7 +20393,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1081
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1081
  *         __pyx_import_array()
  *     except Exception:
  *         raise ImportError("numpy._core.multiarray failed to import")             # <<<<<<<<<<<<<<
@@ -20415,7 +20415,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
  * # Cython code.
  * cdef inline int import_array() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20431,7 +20431,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
  * # Versions of the import_* functions which are more suitable for
  * # Cython code.
  * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
@@ -20456,7 +20456,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
  *         raise ImportError("numpy._core.multiarray failed to import")
  * 
  * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
@@ -20482,7 +20482,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("import_umath", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20498,7 +20498,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1085
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1085
  * cdef inline int import_umath() except -1:
  *     try:
  *         _import_umath()             # <<<<<<<<<<<<<<
@@ -20508,7 +20508,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
       __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1085, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20522,7 +20522,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1086
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1086
  *     try:
  *         _import_umath()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -20537,7 +20537,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1087
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1087
  *         _import_umath()
  *     except Exception:
  *         raise ImportError("numpy._core.umath failed to import")             # <<<<<<<<<<<<<<
@@ -20559,7 +20559,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20575,7 +20575,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
  *         raise ImportError("numpy._core.multiarray failed to import")
  * 
  * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
@@ -20600,7 +20600,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
  *         raise ImportError("numpy._core.umath failed to import")
  * 
  * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
@@ -20626,7 +20626,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("import_ufunc", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20642,7 +20642,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1091
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1091
  * cdef inline int import_ufunc() except -1:
  *     try:
  *         _import_umath()             # <<<<<<<<<<<<<<
@@ -20652,7 +20652,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
       __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1091, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20666,7 +20666,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1092
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1092
  *     try:
  *         _import_umath()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -20681,7 +20681,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1093
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1093
  *         _import_umath()
  *     except Exception:
  *         raise ImportError("numpy._core.umath failed to import")             # <<<<<<<<<<<<<<
@@ -20703,7 +20703,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20719,7 +20719,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
  *         raise ImportError("numpy._core.umath failed to import")
  * 
  * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
@@ -20744,7 +20744,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
  * 
  * 
  * cdef inline bint is_timedelta64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -20755,7 +20755,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
 static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_obj) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1108
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1108
  *     bool
  *     """
  *     return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type)             # <<<<<<<<<<<<<<
@@ -20768,7 +20768,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
  * 
  * 
  * cdef inline bint is_timedelta64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -20782,7 +20782,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
  * 
  * 
  * cdef inline bint is_datetime64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -20793,7 +20793,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
 static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_obj) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1123
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1123
  *     bool
  *     """
  *     return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type)             # <<<<<<<<<<<<<<
@@ -20806,7 +20806,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
  * 
  * 
  * cdef inline bint is_datetime64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -20820,7 +20820,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
  * 
  * 
  * cdef inline npy_datetime get_datetime64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20831,7 +20831,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
 static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *__pyx_v_obj) {
   npy_datetime __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1133
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1133
  *     also needed.  That can be found using `get_datetime64_unit`.
  *     """
  *     return _PyDatetimeScalarObject_GetValue(obj)             # <<<<<<<<<<<<<<
@@ -20844,7 +20844,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
  * 
  * 
  * cdef inline npy_datetime get_datetime64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20857,7 +20857,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
  * 
  * 
  * cdef inline npy_timedelta get_timedelta64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20868,7 +20868,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
 static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject *__pyx_v_obj) {
   npy_timedelta __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1140
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1140
  *     returns the int64 value underlying scalar numpy timedelta64 object
  *     """
  *     return _PyTimedeltaScalarObject_GetValue(obj)             # <<<<<<<<<<<<<<
@@ -20881,7 +20881,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
  * 
  * 
  * cdef inline npy_timedelta get_timedelta64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20894,7 +20894,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
  * 
  * 
  * cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -20905,7 +20905,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
 static CYTHON_INLINE NPY_DATETIMEUNIT __pyx_f_5numpy_get_datetime64_unit(PyObject *__pyx_v_obj) {
   NPY_DATETIMEUNIT __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1147
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1147
  *     returns the unit part of the dtype for a numpy datetime64 object.
  *     """
  *     return _PyDatetimeScalarObject_GetMetadata(obj).base             # <<<<<<<<<<<<<<
@@ -20918,7 +20918,7 @@ static CYTHON_INLINE NPY_DATETIMEUNIT __pyx_f_5numpy_get_datetime64_unit(PyObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
  * 
  * 
  * cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:             # <<<<<<<<<<<<<<

src/khtst/acelerado/nucleos.cpython-312-x86_64-linux-gnu.so

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0a8a5188ae0a07283d488e1a4ed509240b318cf2594bd5698c53f72d0469c7cf
+oid sha256:c7d1c55a2880f2e74324c4ef45997c998718163d36b803592a7b9a9dfe6b3924
 size 1320224

src/khtst/acelerado/rco_gsq.c

@@ -1551,7 +1551,7 @@ static const char * const __pyx_cfilenm = __FILE__;
 static const char* const __pyx_f[] = {
   "rco_gsq.pyx",
   "View.MemoryView",
-  "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd",
+  "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd",
   "cpython/type.pxd",
 };
 /* #### Code section: utility_code_proto_before_types ### */
@@ -1804,7 +1804,7 @@ typedef struct {
 
 /* #### Code section: numeric_typedefs ### */
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":761
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":761
  * # in Cython to enable them only on the right systems.
  * 
  * ctypedef npy_int8       int8_t             # <<<<<<<<<<<<<<
@@ -1813,7 +1813,7 @@ typedef struct {
 */
 typedef npy_int8 __pyx_t_5numpy_int8_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":762
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":762
  * 
  * ctypedef npy_int8       int8_t
  * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<
@@ -1822,7 +1822,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t;
 */
 typedef npy_int16 __pyx_t_5numpy_int16_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":763
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":763
  * ctypedef npy_int8       int8_t
  * ctypedef npy_int16      int16_t
  * ctypedef npy_int32      int32_t             # <<<<<<<<<<<<<<
@@ -1831,7 +1831,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t;
 */
 typedef npy_int32 __pyx_t_5numpy_int32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":764
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":764
  * ctypedef npy_int16      int16_t
  * ctypedef npy_int32      int32_t
  * ctypedef npy_int64      int64_t             # <<<<<<<<<<<<<<
@@ -1840,7 +1840,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t;
 */
 typedef npy_int64 __pyx_t_5numpy_int64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":766
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":766
  * ctypedef npy_int64      int64_t
  * 
  * ctypedef npy_uint8      uint8_t             # <<<<<<<<<<<<<<
@@ -1849,7 +1849,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t;
 */
 typedef npy_uint8 __pyx_t_5numpy_uint8_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":767
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":767
  * 
  * ctypedef npy_uint8      uint8_t
  * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<
@@ -1858,7 +1858,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t;
 */
 typedef npy_uint16 __pyx_t_5numpy_uint16_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":768
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":768
  * ctypedef npy_uint8      uint8_t
  * ctypedef npy_uint16     uint16_t
  * ctypedef npy_uint32     uint32_t             # <<<<<<<<<<<<<<
@@ -1867,7 +1867,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t;
 */
 typedef npy_uint32 __pyx_t_5numpy_uint32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":769
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":769
  * ctypedef npy_uint16     uint16_t
  * ctypedef npy_uint32     uint32_t
  * ctypedef npy_uint64     uint64_t             # <<<<<<<<<<<<<<
@@ -1876,7 +1876,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t;
 */
 typedef npy_uint64 __pyx_t_5numpy_uint64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":771
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":771
  * ctypedef npy_uint64     uint64_t
  * 
  * ctypedef npy_float32    float32_t             # <<<<<<<<<<<<<<
@@ -1885,7 +1885,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t;
 */
 typedef npy_float32 __pyx_t_5numpy_float32_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":772
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":772
  * 
  * ctypedef npy_float32    float32_t
  * ctypedef npy_float64    float64_t             # <<<<<<<<<<<<<<
@@ -1894,7 +1894,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t;
 */
 typedef npy_float64 __pyx_t_5numpy_float64_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":779
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":779
  * ctypedef double complex complex128_t
  * 
  * ctypedef npy_longlong   longlong_t             # <<<<<<<<<<<<<<
@@ -1903,7 +1903,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t;
 */
 typedef npy_longlong __pyx_t_5numpy_longlong_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":780
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":780
  * 
  * ctypedef npy_longlong   longlong_t
  * ctypedef npy_ulonglong  ulonglong_t             # <<<<<<<<<<<<<<
@@ -1912,7 +1912,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t;
 */
 typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":782
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":782
  * ctypedef npy_ulonglong  ulonglong_t
  * 
  * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
@@ -1921,7 +1921,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
 */
 typedef npy_intp __pyx_t_5numpy_intp_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":783
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":783
  * 
  * ctypedef npy_intp       intp_t
  * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
@@ -1930,7 +1930,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t;
 */
 typedef npy_uintp __pyx_t_5numpy_uintp_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":785
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":785
  * ctypedef npy_uintp      uintp_t
  * 
  * ctypedef npy_double     float_t             # <<<<<<<<<<<<<<
@@ -1939,7 +1939,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t;
 */
 typedef npy_double __pyx_t_5numpy_float_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":786
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":786
  * 
  * ctypedef npy_double     float_t
  * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
@@ -1948,7 +1948,7 @@ typedef npy_double __pyx_t_5numpy_float_t;
 */
 typedef npy_double __pyx_t_5numpy_double_t;
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":787
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":787
  * ctypedef npy_double     float_t
  * ctypedef npy_double     double_t
  * ctypedef npy_longdouble longdouble_t             # <<<<<<<<<<<<<<
@@ -18876,7 +18876,7 @@ static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
  * 
  *     ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -18887,7 +18887,7 @@ static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__
 static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArray_Descr *__pyx_v_self) {
   PyTypeObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":232
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":232
  *         @property
  *         cdef inline PyTypeObject* typeobj(self) noexcept nogil:
  *             return PyDataType_TYPEOBJ(self)             # <<<<<<<<<<<<<<
@@ -18900,7 +18900,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":230
  * 
  *     ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -18913,7 +18913,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
  *             return PyDataType_TYPEOBJ(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18924,7 +18924,7 @@ static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj___get__(PyArra
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":236
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":236
  *         @property
  *         cdef inline char kind(self) noexcept nogil:
  *             return PyDataType_KIND(self)             # <<<<<<<<<<<<<<
@@ -18937,7 +18937,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":234
  *             return PyDataType_TYPEOBJ(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18950,7 +18950,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
  *             return PyDataType_KIND(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18961,7 +18961,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind___get__(PyArray_Descr *__p
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":240
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":240
  *         @property
  *         cdef inline char type(self) noexcept nogil:
  *             return PyDataType_TYPE(self)             # <<<<<<<<<<<<<<
@@ -18974,7 +18974,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":238
  *             return PyDataType_KIND(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -18987,7 +18987,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
  *         # PyArray_IsNativeByteOrder(dtype.byteorder) instead of
  *         # directly accessing this field.
  *         @property             # <<<<<<<<<<<<<<
@@ -18998,7 +18998,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type___get__(PyArray_Descr *__p
 static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr *__pyx_v_self) {
   char __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":249
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":249
  *         @property
  *         cdef inline char byteorder(self) noexcept nogil:
  *             return PyDataType_BYTEORDER(self)             # <<<<<<<<<<<<<<
@@ -19011,7 +19011,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":247
  *         # PyArray_IsNativeByteOrder(dtype.byteorder) instead of
  *         # directly accessing this field.
  *         @property             # <<<<<<<<<<<<<<
@@ -19024,7 +19024,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
  *             return PyDataType_BYTEORDER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19035,7 +19035,7 @@ static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder___get__(PyArray_Descr
 static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":253
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":253
  *         @property
  *         cdef inline int type_num(self) noexcept nogil:
  *             return PyDataType_TYPENUM(self)             # <<<<<<<<<<<<<<
@@ -19048,7 +19048,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":251
  *             return PyDataType_BYTEORDER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19061,7 +19061,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
  *             return PyDataType_TYPENUM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19072,7 +19072,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num___get__(PyArray_Descr *
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_Descr *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":257
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":257
  *         @property
  *         cdef inline npy_intp itemsize(self) noexcept nogil:
  *             return PyDataType_ELSIZE(self)             # <<<<<<<<<<<<<<
@@ -19085,7 +19085,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":255
  *             return PyDataType_TYPENUM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19098,7 +19098,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
  *             return PyDataType_ELSIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19109,7 +19109,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize___get__(PyArray_De
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_Descr *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":261
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":261
  *         @property
  *         cdef inline npy_intp alignment(self) noexcept nogil:
  *             return PyDataType_ALIGNMENT(self)             # <<<<<<<<<<<<<<
@@ -19122,7 +19122,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_D
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":259
  *             return PyDataType_ELSIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19135,7 +19135,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment___get__(PyArray_D
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
  *         # Use fields/names with care as they may be NULL.  You must check
  *         # for this using PyDataType_HASFIELDS.
  *         @property             # <<<<<<<<<<<<<<
@@ -19149,7 +19149,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
   PyObject *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":267
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":267
  *         @property
  *         cdef inline object fields(self):
  *             return <object>PyDataType_FIELDS(self)             # <<<<<<<<<<<<<<
@@ -19170,7 +19170,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":265
  *         # Use fields/names with care as they may be NULL.  You must check
  *         # for this using PyDataType_HASFIELDS.
  *         @property             # <<<<<<<<<<<<<<
@@ -19185,7 +19185,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields___get__(PyArray_Des
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
  *             return <object>PyDataType_FIELDS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19199,7 +19199,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
   PyObject *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":271
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":271
  *         @property
  *         cdef inline tuple names(self):
  *             return <tuple>PyDataType_NAMES(self)             # <<<<<<<<<<<<<<
@@ -19220,7 +19220,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":269
  *             return <object>PyDataType_FIELDS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19235,7 +19235,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
  *         # valid (the pointer can be NULL). Most users should access
  *         # this field via the inline helper method PyDataType_SHAPE.
  *         @property             # <<<<<<<<<<<<<<
@@ -19246,7 +19246,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names___get__(PyArray_Desc
 static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__(PyArray_Descr *__pyx_v_self) {
   PyArray_ArrayDescr *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":278
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":278
  *         @property
  *         cdef inline PyArray_ArrayDescr* subarray(self) noexcept nogil:
  *             return PyDataType_SUBARRAY(self)             # <<<<<<<<<<<<<<
@@ -19259,7 +19259,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":276
  *         # valid (the pointer can be NULL). Most users should access
  *         # this field via the inline helper method PyDataType_SHAPE.
  *         @property             # <<<<<<<<<<<<<<
@@ -19272,7 +19272,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
  *             return PyDataType_SUBARRAY(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19283,7 +19283,7 @@ static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray___get__
 static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Descr *__pyx_v_self) {
   npy_uint64 __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":283
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":283
  *         cdef inline npy_uint64 flags(self) noexcept nogil:
  *             """The data types flags."""
  *             return PyDataType_FLAGS(self)             # <<<<<<<<<<<<<<
@@ -19296,7 +19296,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":280
  *             return PyDataType_SUBARRAY(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19309,7 +19309,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
  *     ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19320,7 +19320,7 @@ static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags___get__(PyArray_Des
 static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMultiIterObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":295
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":295
  *         cdef inline int numiter(self) noexcept nogil:
  *             """The number of arrays that need to be broadcast to the same shape."""
  *             return PyArray_MultiIter_NUMITER(self)             # <<<<<<<<<<<<<<
@@ -19333,7 +19333,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":292
  *     ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19346,7 +19346,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
  *             return PyArray_MultiIter_NUMITER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19357,7 +19357,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter___get__(PyArrayMulti
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":300
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":300
  *         cdef inline npy_intp size(self) noexcept nogil:
  *             """The total broadcasted size."""
  *             return PyArray_MultiIter_SIZE(self)             # <<<<<<<<<<<<<<
@@ -19370,7 +19370,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":297
  *             return PyArray_MultiIter_NUMITER(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19383,7 +19383,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
  *             return PyArray_MultiIter_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19394,7 +19394,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size___get__(PyArrayMul
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":305
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":305
  *         cdef inline npy_intp index(self) noexcept nogil:
  *             """The current (1-d) index into the broadcasted result."""
  *             return PyArray_MultiIter_INDEX(self)             # <<<<<<<<<<<<<<
@@ -19407,7 +19407,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":302
  *             return PyArray_MultiIter_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19420,7 +19420,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
  *             return PyArray_MultiIter_INDEX(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19431,7 +19431,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index___get__(PyArrayMu
 static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":310
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":310
  *         cdef inline int nd(self) noexcept nogil:
  *             """The number of dimensions in the broadcasted result."""
  *             return PyArray_MultiIter_NDIM(self)             # <<<<<<<<<<<<<<
@@ -19444,7 +19444,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":307
  *             return PyArray_MultiIter_INDEX(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19457,7 +19457,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
  *             return PyArray_MultiIter_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19468,7 +19468,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd___get__(PyArrayMultiIterO
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(PyArrayMultiIterObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":315
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":315
  *         cdef inline npy_intp* dimensions(self) noexcept nogil:
  *             """The shape of the broadcasted result."""
  *             return PyArray_MultiIter_DIMS(self)             # <<<<<<<<<<<<<<
@@ -19481,7 +19481,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":312
  *             return PyArray_MultiIter_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19494,7 +19494,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
  *             return PyArray_MultiIter_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19505,7 +19505,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions___get__(Py
 static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMultiIterObject *__pyx_v_self) {
   void **__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":321
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":321
  *             """An array of iterator objects that holds the iterators for the arrays to be broadcast together.
  *             On return, the iterators are adjusted for broadcasting."""
  *             return PyArray_MultiIter_ITERS(self)             # <<<<<<<<<<<<<<
@@ -19518,7 +19518,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":317
  *             return PyArray_MultiIter_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19531,7 +19531,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
  *         # Instead, we use properties that map to the corresponding C-API functions.
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19542,7 +19542,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters___get__(PyArrayMult
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":339
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":339
  *             """Returns a borrowed reference to the object owning the data/memory.
  *             """
  *             return PyArray_BASE(self)             # <<<<<<<<<<<<<<
@@ -19555,7 +19555,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObje
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":335
  *         # Instead, we use properties that map to the corresponding C-API functions.
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19568,7 +19568,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base___get__(PyArrayObje
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
  *             return PyArray_BASE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19582,7 +19582,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
   PyArray_Descr *__pyx_t_1;
   __Pyx_RefNannySetupContext("__get__", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":345
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":345
  *             """Returns an owned reference to the dtype of the array.
  *             """
  *             return <dtype>PyArray_DESCR(self)             # <<<<<<<<<<<<<<
@@ -19603,7 +19603,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
 
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":341
  *             return PyArray_BASE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19618,7 +19618,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
  *             return <dtype>PyArray_DESCR(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19629,7 +19629,7 @@ static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr___get__(PyArr
 static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":351
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":351
  *             """Returns the number of dimensions in the array.
  *             """
  *             return PyArray_NDIM(self)             # <<<<<<<<<<<<<<
@@ -19642,7 +19642,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":347
  *             return <dtype>PyArray_DESCR(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19655,7 +19655,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
  *             return PyArray_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19666,7 +19666,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim___get__(PyArrayObject *__
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":359
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":359
  *             Can return NULL for 0-dimensional arrays.
  *             """
  *             return PyArray_DIMS(self)             # <<<<<<<<<<<<<<
@@ -19679,7 +19679,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":353
  *             return PyArray_NDIM(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19692,7 +19692,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
  *             return PyArray_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19703,7 +19703,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape___get__(PyArrayObj
 static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayObject *__pyx_v_self) {
   npy_intp *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":366
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":366
  *             The number of elements matches the number of dimensions of the array (ndim).
  *             """
  *             return PyArray_STRIDES(self)             # <<<<<<<<<<<<<<
@@ -19716,7 +19716,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":361
  *             return PyArray_DIMS(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19729,7 +19729,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
  *             return PyArray_STRIDES(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19740,7 +19740,7 @@ static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides___get__(PyArrayO
 static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObject *__pyx_v_self) {
   npy_intp __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":372
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":372
  *             """Returns the total size (in number of elements) of the array.
  *             """
  *             return PyArray_SIZE(self)             # <<<<<<<<<<<<<<
@@ -19753,7 +19753,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":368
  *             return PyArray_STRIDES(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19766,7 +19766,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
  *             return PyArray_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19777,7 +19777,7 @@ static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size___get__(PyArrayObjec
 static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *__pyx_v_self) {
   char *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":381
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":381
  *             of `PyArray_DATA()` instead, which returns a 'void*'.
  *             """
  *             return PyArray_BYTES(self)             # <<<<<<<<<<<<<<
@@ -19790,7 +19790,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":374
  *             return PyArray_SIZE(self)
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -19803,7 +19803,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data___get__(PyArrayObject *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
  * ctypedef long double complex clongdouble_t
  * 
  * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
@@ -19820,7 +19820,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":795
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":795
  * 
  * cdef inline object PyArray_MultiIterNew1(a):
  *     return PyArray_MultiIterNew(1, <void*>a)             # <<<<<<<<<<<<<<
@@ -19840,7 +19840,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":794
  * ctypedef long double complex clongdouble_t
  * 
  * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
@@ -19859,7 +19859,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
  *     return PyArray_MultiIterNew(1, <void*>a)
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
@@ -19876,7 +19876,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":798
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":798
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)             # <<<<<<<<<<<<<<
@@ -19896,7 +19896,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":797
  *     return PyArray_MultiIterNew(1, <void*>a)
  * 
  * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
@@ -19915,7 +19915,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
@@ -19932,7 +19932,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":801
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":801
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)             # <<<<<<<<<<<<<<
@@ -19952,7 +19952,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":800
  *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
  * 
  * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
@@ -19971,7 +19971,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
@@ -19988,7 +19988,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":804
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":804
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)             # <<<<<<<<<<<<<<
@@ -20008,7 +20008,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":803
  *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
  * 
  * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
@@ -20027,7 +20027,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
@@ -20044,7 +20044,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":807
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":807
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)             # <<<<<<<<<<<<<<
@@ -20064,7 +20064,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   __pyx_t_1 = 0;
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":806
  *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
  * 
  * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
@@ -20083,7 +20083,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
@@ -20098,7 +20098,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   PyObject *__pyx_t_2;
   __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
@@ -20110,7 +20110,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   if (__pyx_t_1) {
 
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":811
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":811
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):
  *         return <tuple>d.subarray.shape             # <<<<<<<<<<<<<<
@@ -20131,7 +20131,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 
     goto __pyx_L0;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":810
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):
  *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
@@ -20140,7 +20140,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 */
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":813
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":813
  *         return <tuple>d.subarray.shape
  *     else:
  *         return ()             # <<<<<<<<<<<<<<
@@ -20160,7 +20160,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
     goto __pyx_L0;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":809
  *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
  * 
  * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
@@ -20175,7 +20175,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
  * 
  *     ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -20186,7 +20186,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":949
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":949
  *         @property
  *         cdef inline int nin(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin             # <<<<<<<<<<<<<<
@@ -20199,7 +20199,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":947
  * 
  *     ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]:
  *         @property             # <<<<<<<<<<<<<<
@@ -20212,7 +20212,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20223,7 +20223,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin___get__(PyUFuncObject *__pyx
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":953
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":953
  *         @property
  *         cdef inline int nout(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout             # <<<<<<<<<<<<<<
@@ -20236,7 +20236,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":951
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nin
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20249,7 +20249,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20260,7 +20260,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout___get__(PyUFuncObject *__py
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":957
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":957
  *         @property
  *         cdef inline int nargs(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs             # <<<<<<<<<<<<<<
@@ -20273,7 +20273,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":955
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nout
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20286,7 +20286,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20297,7 +20297,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs___get__(PyUFuncObject *__p
 static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___get__(PyUFuncObject *__pyx_v_self) {
   PyUFuncGenericFunction *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":961
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":961
  *         @property
  *         cdef inline PyUFuncGenericFunction* functions(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions             # <<<<<<<<<<<<<<
@@ -20310,7 +20310,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":959
  *             return _PyUFuncObject_GET_ITEM_DATA(self).nargs
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20323,7 +20323,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20334,7 +20334,7 @@ static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions___
 static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *__pyx_v_self) {
   void **__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":965
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":965
  *         @property
  *         cdef inline void ** data(self) noexcept nogil:
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data             # <<<<<<<<<<<<<<
@@ -20347,7 +20347,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":963
  *             return _PyUFuncObject_GET_ITEM_DATA(self).functions
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20360,7 +20360,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20371,7 +20371,7 @@ static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data___get__(PyUFuncObject *_
 static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__pyx_v_self) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":969
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":969
  *         @property
  *         cdef inline int ntypes(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes             # <<<<<<<<<<<<<<
@@ -20384,7 +20384,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":967
  *             return <void **>_PyUFuncObject_GET_ITEM_DATA(self).data
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20397,7 +20397,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20408,7 +20408,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes___get__(PyUFuncObject *__
 static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObject *__pyx_v_self) {
   char const *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":973
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":973
  *         @property
  *         cdef inline const char* name(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name             # <<<<<<<<<<<<<<
@@ -20421,7 +20421,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":971
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ntypes
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20434,7 +20434,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20445,7 +20445,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name___get__(PyUFuncObje
 static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObject *__pyx_v_self) {
   char const *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":977
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":977
  *         @property
  *         cdef inline const char* doc(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc             # <<<<<<<<<<<<<<
@@ -20458,7 +20458,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":975
  *             return _PyUFuncObject_GET_ITEM_DATA(self).name
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20471,7 +20471,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20482,7 +20482,7 @@ static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc___get__(PyUFuncObjec
 static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__pyx_v_self) {
   void *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":981
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":981
  *         @property
  *         cdef inline void* ptr(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr             # <<<<<<<<<<<<<<
@@ -20495,7 +20495,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":979
  *             return _PyUFuncObject_GET_ITEM_DATA(self).doc
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20508,7 +20508,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20519,7 +20519,7 @@ static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr___get__(PyUFuncObject *__p
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":985
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":985
  *         @property
  *         cdef inline PyObject* obj(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj             # <<<<<<<<<<<<<<
@@ -20532,7 +20532,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":983
  *             return _PyUFuncObject_GET_ITEM_DATA(self).ptr
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20545,7 +20545,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20556,7 +20556,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj___get__(PyUFuncObject
 static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncObject *__pyx_v_self) {
   PyObject *__pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":989
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":989
  *         @property
  *         cdef inline PyObject* userloops(self) noexcept nogil:
  *             return _PyUFuncObject_GET_ITEM_DATA(self).userloops             # <<<<<<<<<<<<<<
@@ -20569,7 +20569,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncO
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":987
  *             return _PyUFuncObject_GET_ITEM_DATA(self).obj
  * 
  *         @property             # <<<<<<<<<<<<<<
@@ -20582,7 +20582,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops___get__(PyUFuncO
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
  *     int _import_umath() except -1
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:             # <<<<<<<<<<<<<<
@@ -20596,7 +20596,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
   const char *__pyx_filename = NULL;
   int __pyx_clineno = 0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1066
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1066
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:
  *     Py_INCREF(base) # important to do this before stealing the reference below!             # <<<<<<<<<<<<<<
@@ -20605,7 +20605,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
 */
   Py_INCREF(__pyx_v_base);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1067
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1067
  * cdef inline void set_array_base(ndarray arr, object base) except *:
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@@ -20615,7 +20615,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
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-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1065
  *     int _import_umath() except -1
  * 
  * cdef inline void set_array_base(ndarray arr, object base) except *:             # <<<<<<<<<<<<<<
@@ -20631,7 +20631,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a
 
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
  *     PyArray_SetBaseObject(arr, base)
  * 
  * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
@@ -20646,7 +20646,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   int __pyx_t_1;
   __Pyx_RefNannySetupContext("get_array_base", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1070
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1070
  * 
  * cdef inline object get_array_base(ndarray arr):
  *     base = PyArray_BASE(arr)             # <<<<<<<<<<<<<<
@@ -20655,7 +20655,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
 */
   __pyx_v_base = PyArray_BASE(__pyx_v_arr);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
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@@ -20667,7 +20667,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   if (__pyx_t_1) {
 
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1072
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1072
  *     base = PyArray_BASE(arr)
  *     if base is NULL:
  *         return None             # <<<<<<<<<<<<<<
@@ -20684,7 +20684,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
     }
     goto __pyx_L0;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1071
  * cdef inline object get_array_base(ndarray arr):
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@@ -20693,7 +20693,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
 */
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1073
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1073
  *     if base is NULL:
  *         return None
  *     return <object>base             # <<<<<<<<<<<<<<
@@ -20711,7 +20711,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1069
  *     PyArray_SetBaseObject(arr, base)
  * 
  * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
@@ -20727,7 +20727,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
  * # Versions of the import_* functions which are more suitable for
  * # Cython code.
  * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
@@ -20753,7 +20753,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
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   __Pyx_RefNannySetupContext("import_array", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
  * # Cython code.
  * cdef inline int import_array() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20769,7 +20769,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1079
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1079
  * cdef inline int import_array() except -1:
  *     try:
  *         __pyx_import_array()             # <<<<<<<<<<<<<<
@@ -20779,7 +20779,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
       __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1079, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
  * # Cython code.
  * cdef inline int import_array() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20793,7 +20793,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1080
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1080
  *     try:
  *         __pyx_import_array()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -20808,7 +20808,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1081
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1081
  *         __pyx_import_array()
  *     except Exception:
  *         raise ImportError("numpy._core.multiarray failed to import")             # <<<<<<<<<<<<<<
@@ -20830,7 +20830,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1078
  * # Cython code.
  * cdef inline int import_array() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20846,7 +20846,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1077
  * # Versions of the import_* functions which are more suitable for
  * # Cython code.
  * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
@@ -20871,7 +20871,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
  *         raise ImportError("numpy._core.multiarray failed to import")
  * 
  * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
@@ -20897,7 +20897,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
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   __Pyx_RefNannySetupContext("import_umath", 0);
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20913,7 +20913,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1085
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1085
  * cdef inline int import_umath() except -1:
  *     try:
  *         _import_umath()             # <<<<<<<<<<<<<<
@@ -20923,7 +20923,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
       __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1085, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20937,7 +20937,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1086
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1086
  *     try:
  *         _import_umath()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -20952,7 +20952,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1087
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1087
  *         _import_umath()
  *     except Exception:
  *         raise ImportError("numpy._core.umath failed to import")             # <<<<<<<<<<<<<<
@@ -20974,7 +20974,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1084
  * 
  * cdef inline int import_umath() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -20990,7 +20990,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1083
  *         raise ImportError("numpy._core.multiarray failed to import")
  * 
  * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
@@ -21015,7 +21015,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
  *         raise ImportError("numpy._core.umath failed to import")
  * 
  * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
@@ -21041,7 +21041,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
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-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -21057,7 +21057,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     __Pyx_XGOTREF(__pyx_t_3);
     /*try:*/ {
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1091
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1091
  * cdef inline int import_ufunc() except -1:
  *     try:
  *         _import_umath()             # <<<<<<<<<<<<<<
@@ -21067,7 +21067,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
       __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(2, 1091, __pyx_L3_error)
 
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -21081,7 +21081,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     goto __pyx_L8_try_end;
     __pyx_L3_error:;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1092
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1092
  *     try:
  *         _import_umath()
  *     except Exception:             # <<<<<<<<<<<<<<
@@ -21096,7 +21096,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
       __Pyx_XGOTREF(__pyx_t_6);
       __Pyx_XGOTREF(__pyx_t_7);
 
-      /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1093
+      /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1093
  *         _import_umath()
  *     except Exception:
  *         raise ImportError("numpy._core.umath failed to import")             # <<<<<<<<<<<<<<
@@ -21118,7 +21118,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     }
     goto __pyx_L5_except_error;
 
-    /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
+    /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1090
  * 
  * cdef inline int import_ufunc() except -1:
  *     try:             # <<<<<<<<<<<<<<
@@ -21134,7 +21134,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
     __pyx_L8_try_end:;
   }
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1089
  *         raise ImportError("numpy._core.umath failed to import")
  * 
  * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
@@ -21159,7 +21159,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
  * 
  * 
  * cdef inline bint is_timedelta64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -21170,7 +21170,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
 static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_obj) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1108
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1108
  *     bool
  *     """
  *     return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type)             # <<<<<<<<<<<<<<
@@ -21183,7 +21183,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1096
  * 
  * 
  * cdef inline bint is_timedelta64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -21197,7 +21197,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
  * 
  * 
  * cdef inline bint is_datetime64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -21208,7 +21208,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *__pyx_v_
 static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_obj) {
   int __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1123
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1123
  *     bool
  *     """
  *     return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type)             # <<<<<<<<<<<<<<
@@ -21221,7 +21221,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1111
  * 
  * 
  * cdef inline bint is_datetime64_object(object obj) noexcept:             # <<<<<<<<<<<<<<
@@ -21235,7 +21235,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
  * 
  * 
  * cdef inline npy_datetime get_datetime64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -21246,7 +21246,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *__pyx_v_o
 static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *__pyx_v_obj) {
   npy_datetime __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1133
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1133
  *     also needed.  That can be found using `get_datetime64_unit`.
  *     """
  *     return _PyDatetimeScalarObject_GetValue(obj)             # <<<<<<<<<<<<<<
@@ -21259,7 +21259,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1126
  * 
  * 
  * cdef inline npy_datetime get_datetime64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -21272,7 +21272,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
  * 
  * 
  * cdef inline npy_timedelta get_timedelta64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -21283,7 +21283,7 @@ static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(PyObject *
 static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject *__pyx_v_obj) {
   npy_timedelta __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1140
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1140
  *     returns the int64 value underlying scalar numpy timedelta64 object
  *     """
  *     return _PyTimedeltaScalarObject_GetValue(obj)             # <<<<<<<<<<<<<<
@@ -21296,7 +21296,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1136
  * 
  * 
  * cdef inline npy_timedelta get_timedelta64_value(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -21309,7 +21309,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
   return __pyx_r;
 }
 
-/* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
+/* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
  * 
  * 
  * cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:             # <<<<<<<<<<<<<<
@@ -21320,7 +21320,7 @@ static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(PyObject
 static CYTHON_INLINE NPY_DATETIMEUNIT __pyx_f_5numpy_get_datetime64_unit(PyObject *__pyx_v_obj) {
   NPY_DATETIMEUNIT __pyx_r;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1147
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1147
  *     returns the unit part of the dtype for a numpy datetime64 object.
  *     """
  *     return _PyDatetimeScalarObject_GetMetadata(obj).base             # <<<<<<<<<<<<<<
@@ -21333,7 +21333,7 @@ static CYTHON_INLINE NPY_DATETIMEUNIT __pyx_f_5numpy_get_datetime64_unit(PyObjec
   }
   goto __pyx_L0;
 
-  /* "../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
+  /* "../../../../../venv/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd":1143
  * 
  * 
  * cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:             # <<<<<<<<<<<<<<

src/khtst/acelerado/rco_gsq.cpython-312-x86_64-linux-gnu.so

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6f73c467563e2284150999740794360c85dd5a0adede92fdbcb0903e645f6ea4
+oid sha256:62d733387edbf3d870453d1b204d93ca68e1b92c862462db6b408be77be57b54
 size 1603024

src/khtst/aprimoramento/autorregulacao_estendida.py

@@ -1,5 +1,6 @@
 # -*- coding: utf-8 -*-
-"""AUTORREGULAÇÃO ESTENDIDA v17 — a tabela de sinais (doc 29 §10, Teo 29.16).
+"""AUTORREGULAÇÃO ESTENDIDA v17/v22 — a tabela de sinais (doc 29 §10, Teo 29.16;
+fechamento 18/18 dos produtores: docs 33 §7 e 34 §§2–5, Teos 33.14 e 34.2–34.10).
 
 Fecha a lacuna diagnosticada na v16: o Autorregulador (Teos 28.5–28.7)
 governava lr, λ_aux e peso MoE com RM puro e UM sinal por parâmetro —
@@ -8,6 +9,27 @@ de setpoint, e SEM cobertura de AdamW (β₁/β₂/ε/wd), Muon (momentum/
 escala/τ_qk), PRS V8 (5 parâmetros), pesos de perda (PESO_MOE,
 PESO_ALINHAMENTO_SOM), ABMO, CIAR e crescimento.
 
+v22 — FECHAMENTO 18/18 (doc 34): os 10 sinais sem produtor na v21
+(doc 33 §11.4) passam a ter produtores REAIS:
+  • AdamW (estado do otimizador — observadores puros, Teo 34.1):
+      deriva_seg_momento (Δv=(1−β₂)(g⊙g−v), calibrada pela própria EMA),
+      razao_update_grad (RMS do passo AdamW — Jensen Teo 34.2),
+      razao_momentum_grad (correção estacionária √(1−β²), Teo 34.3),
+      razao_rms_mecanismos (RMS Muon/RMS AdamW — Teo 24.11);
+  • ABMO: margem_abmo_norm = cap/lr_base (folga da barreira, Teo 34.6);
+  • CIAR: taxa_aceitacao_ciar = fração de janelas com melhora (Teo 34.7);
+  • SOM: taxa_expansao/taxa_prune por diferença de contadores reais de
+    inserção/poda (GG/GCS/GSOM) e ativacao_som = taxa_ativos_global —
+    reais em QUALQUER fase (Teo 34.8);
+  • τ_qk: leitura PRÓPRIA e FRESCA de ultimo_logit_max direto dos módulos
+    NoPEAtencao a cada ciclo (não só o push a cada 20 passos do hub).
+
+E os NOVOS APLICADORES (aplicar_em_treinador): abmo_margem →
+_abmo["margem"] (×), ciar_kappa → ciar["kappa_ext"] (×), cresc_expand →
+lambda_insercao (×), cresc_prune → util_poda (×), peso_som →
+_peso_som_v17 (×, normalizado pelo centro 0,05). Todos com base capturada
+na 1ª escrita ⟹ centro = comportamento bit-a-bit (nascimento neutro).
+
 ESTE módulo registra CADA parâmetro em um ControladorHibrido (RM + PI,
 Teo 29.14) ou ControladorBissecao (τ_qk, Teo 29.15), com:
 
@@ -72,6 +94,9 @@ class AutorreguladorEstendido:
         self.hub = hub
         self.ativo = bool(cfg.get("ativo", False))   # NASCIMENTO NEUTRO
         self.a_cada = int(cfg.get("a_cada", 10))
+        # v22: espera configurável (aquecimento antes do 1º ajuste — Teo
+        # 28.5-ii); default 20 ciclos = comportamento v21 exato
+        espera = int(cfg.get("espera", espera))
         self._passo = 0
         self._t_ajuste = 0
         C = self._construir(a0, tau_a, espera)
@@ -178,10 +203,12 @@ class AutorreguladorEstendido:
             # CIAR κ — aceitação vs alvo
             "ciar_kappa": (f_sinal("taxa_aceitacao_ciar", 0.70),
                            f_medida("taxa_aceitacao_ciar", 0.70)),
-            # crescimento — expansão/poda vs alvos
+            # crescimento — expansão/poda vs alvos; PODA com sinal INVERTIDO
+            # (v22, Teo 34.8-iii): taxa_prune < alvo ⟹ mapa inchado ⟹ limiar
+            # de utilidade sobe ⟹ poda MAIS agressiva
             "cresc_expand": (f_sinal("taxa_expansao", 0.05),
                              f_medida("taxa_expansao", 0.05)),
-            "cresc_prune": (f_sinal("taxa_prune", 0.02),
+            "cresc_prune": (f_sinal("taxa_prune", 0.02, inverte=True),
                             f_medida("taxa_prune", 0.02)),
         }
 
@@ -277,6 +304,59 @@ class AutorreguladorEstendido:
                 tocados.append(attr)
         return sorted(set(tocados))
 
+    # ------------------------------------------------------------------
+    # v22 (doc 34 §5, Teos 34.6–34.9) — APLICADOR DE REGULADORES DO TREINADOR:
+    # ABMO (margem), CIAR (κ_ext), crescimento (λ_inserção, util_poda) e
+    # PESO_SOM. Tolerante a ausências; cada alvo tem a BASE capturada na 1ª
+    # escrita e o controlador parte do centro 1,0× ⟹ nascimento neutro
+    # (a 1ª aplicação escreve base×1,0 = base — bit-a-bit).
+    def aplicar_em_treinador(self, valores: dict, treinador) -> list[str]:
+        tocados = []
+        # --- ABMO: margem m ∈ [0,2) — cap = (2−m)/L̂; ×[0.5,1.5] sobre a base
+        abmo = getattr(treinador, "_abmo", None)
+        if abmo is not None and "abmo_margem" in valores \
+                and "margem" in abmo:
+            if not hasattr(self, "_margem_abmo_base"):
+                self._margem_abmo_base = float(abmo["margem"])
+            nova = self._margem_abmo_base * float(valores["abmo_margem"])
+            abmo["margem"] = float(max(0.0, min(nova, 1.0)))  # cap>0 ⟹ m<2
+            tocados.append("abmo_margem")
+        # --- CIAR: κ_ext multiplica κ (limites já garantidos pela tabela
+        # ×[0.5,2.0] sobre κ∈[κ_min,κ_max] — Teo 34.7-ii: TV finita)
+        ciar = getattr(treinador, "ciar", None)
+        if ciar is not None and "ciar_kappa" in valores:
+            ciar["kappa_ext"] = float(max(0.25, min(2.5,
+                                                    valores["ciar_kappa"])))
+            tocados.append("ciar_kappa_ext")
+        # --- crescimento: λ_inserção × e limiar de poda × (GG/GCS/GSOM)
+        orq = getattr(treinador, "orquestrador", None)
+        if orq is not None and hasattr(orq, "variantes"):
+            for nome, v in orq.variantes.items():
+                if "cresc_expand" in valores and hasattr(v, "lambda_"):
+                    chave = f"_base_lambda_{nome}"
+                    if not hasattr(self, chave):
+                        setattr(self, chave, float(v.lambda_))
+                    base = getattr(self, chave)
+                    v.lambda_ = max(1, int(round(
+                        base * float(valores["cresc_expand"]))))
+                    tocados.append(f"lambda_{nome}")
+                if "cresc_prune" in valores and hasattr(v, "util_poda"):
+                    chave = f"_base_util_poda_{nome}"
+                    if not hasattr(self, chave):
+                        setattr(self, chave, float(v.util_poda))
+                    base = getattr(self, chave)
+                    v.util_poda = float(max(0.005, min(0.50,
+                        base * float(valores["cresc_prune"]))))
+                    tocados.append(f"util_poda_{nome}")
+        # --- PESO_SOM: multiplicador normalizado pelo centro 0,05 (o centro
+        # da tabela = default de cfg.treino.lambda_som ⟹ ×1,0 neutro mesmo
+        # com lambda_som customizado)
+        if "peso_som" in valores and hasattr(treinador, "_peso_som_v17"):
+            treinador._peso_som_v17 = float(
+                max(0.2, min(4.0, valores["peso_som"] / 0.05)))
+            tocados.append("peso_som")
+        return sorted(set(tocados))
+
     def telemetria(self) -> dict:
         out = {}
         for nome, ctl in self._controladores.items():

src/khtst/ipc/khtst_ipc.cpython-312-x86_64-linux-gnu.so

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:44a7c5f5ff0e9d5483f52f79ebcb48be362778573edf5e04ade836d5b9845948
+oid sha256:0460ea341b8ee6d872ff0bfa7281e25e660d02a0264848486e904f61b01dc968
 size 1771456

src/khtst/memoria/orquestrador.py

@@ -150,6 +150,25 @@ class OrquestradorSOM:
                 vals.append(alvo.taxa_ativos())
         return sum(vals) / len(vals) if vals else 1.0
 
+    # ---------------- v22 (doc 34 §3, Teos 34.1/34.8) ----------------
+    def contadores_crescimento(self) -> dict:
+        """Contadores AGREGADOS de crescimento sobre as variantes expansíveis
+        (GrowingGrid, GCS, GSOM — Teos 2.1/2.3/3.1): inserções, podas e
+        unidades totais. Observadores puros (Teo 34.1); o treinador calcula
+        as TAXAS por diferença entre ciclos da tabela v17."""
+        ins = pod = unid = 0
+        for v in self.variantes.values():
+            ins += int(getattr(v, "n_insercoes", 0))
+            pod += int(getattr(v, "n_podas", 0))
+            k = getattr(v, "k", None)
+            if k is None and hasattr(v, "w"):
+                k = v.w.shape[0]
+            if isinstance(k, int):
+                unid += k
+            elif k is not None:
+                unid += int(k)
+        return {"insercoes": ins, "podas": pod, "unidades": unid}
+
     def eq_medio(self, x: torch.Tensor) -> float:
         """EQ médio sobre as variantes avaliáveis (Teorema 15.2 — proxy do
         EQ incremental na fase B)."""

src/khtst/memoria/som_base.py

@@ -39,6 +39,11 @@ class SOMKohonen:
         self.erro_ema = torch.zeros(k)                           # EMA da escala de erro u_j
         self.uso_total = torch.zeros(k, dtype=torch.long)
         self.n_mortos_resemeados = 0
+        # v22 (doc 34 §3, Teo 34.1): contadores de crescimento — observadores
+        # puros (nenhuma mudança de comportamento) para os produtores
+        # taxa_expansao/taxa_prune da tabela v17 (Teo 29.16)
+        self.n_insercoes = 0
+        self.n_podas = 0
 
     # ---------------- infraestrutura ----------------
     def _vizinhanca(self, c: int, sigma: float) -> torch.Tensor:

src/khtst/memoria/variantes_crescimento.py

@@ -51,6 +51,7 @@ class GrowingGrid(SOMKohonen):
         self.erro = torch.cat([self.erro, self.erro[q:q + 1] / 2])
         self.erro[q] /= 2
         self.k += 1
+        self.n_insercoes = getattr(self, "n_insercoes", 0) + 1   # v22 (Teo 34.1)
         self.lado = max(self.lado, int(self.k ** 0.5) + (1 if int(self.k ** 0.5) ** 2 < self.k else 0))
 
 
@@ -67,6 +68,12 @@ class GrowingCellStructures:
         self.kmax, self.lambda_, self.beta = kmax, lambda_insercao, beta
         self.vizinhos = {(0, 1), (1, 2), (2, 0)}
         self.passo = 0
+        # v22 (Teo 34.1): contadores + limiar de poda ESCRITÁVEL (o applier
+        # cresc_prune da tabela v17 escala `util_poda`; valor = comportamento
+        # original bit-a-bit)
+        self.n_insercoes = 0
+        self.n_podas = 0
+        self.util_poda = 0.05
 
     @torch.no_grad()
     def treinar_lote(self, x: torch.Tensor) -> float:
@@ -101,16 +108,18 @@ class GrowingCellStructures:
         self.vizinhos.discard((min(q, f), max(q, f)))
         for v in (q, f):
             self.vizinhos.add((min(novo, v), max(novo, v)))   # conectividade: Teorema 2.2
+        self.n_insercoes += 1   # v22 (Teo 34.1 — observador puro)
 
     def _podar(self):
         utilidade = self.usos / (self.usos.max() + 1e-12)
         i = int(utilidade.argmin())
-        if utilidade[i] > 0.05 or self.w.shape[0] <= 3:
+        if utilidade[i] > self.util_poda or self.w.shape[0] <= 3:
             return
         keep = [j for j in range(self.w.shape[0]) if j != i]
         self.w = self.w[keep]
         self.erro = self.erro[keep]
         self.usos = self.usos[keep]
+        self.n_podas += 1   # v22 (Teo 34.1 — observador puro)
         self.vizinhos = {(a if a < i else a - 1, b if b < i else b - 1)
                          for a, b in self.vizinhos if a != i and b != i}
 
@@ -182,6 +191,7 @@ class GSOM(SOMKohonen):
                 self.erro = torch.cat([self.erro, torch.zeros(1)])
                 self.ocupadas.add(nova)
                 self.k += 1
+                self.n_insercoes = getattr(self, "n_insercoes", 0) + 1  # v22 (Teo 34.1)
                 return
 
     def estatisticas(self) -> dict:

src/khtst/treino/otimizadores.py

@@ -182,7 +182,8 @@ class MuonClipAdamW(torch.optim.Optimizer):
                  weight_decay_muon: float = 1e-4,
                  momentum: float = 0.95, nesterov: bool = True,
                  ns_iters: int = 5, tau_qk: float | None = 100.0,
-                 escala_muon: float = 0.2):
+                 escala_muon: float = 0.2,
+                 coletar_metricas: bool = False):
         defaults = dict(lr=lr, betas=tuple(betas), eps=eps,
                         weight_decay=weight_decay,
                         weight_decay_muon=weight_decay_muon,
@@ -190,6 +191,17 @@ class MuonClipAdamW(torch.optim.Optimizer):
                         nesterov=nesterov, ns_iters=ns_iters,
                         tau_qk=tau_qk, escala_muon=escala_muon)
         super().__init__(params, defaults)
+        # v22 (doc 34 §2, Teos 34.1–34.5) — ACUMULADORES DE MÉTRICAS:
+        # observadores PUROS (sem RNG, sem mutação de estado do passo) que
+        # somam ‖·‖² dos tensores já manipulados pelo passo, para produzir
+        # os 4 sinais AdamW/Muon da tabela v17 (Teo 29.16) SEM proxies.
+        # Opt-in: coletar_metricas=False (default) ⟹ custo zero e
+        # comportamento bit-a-bit idêntico ao v21 (Teo 34.1).
+        self.coletar = bool(coletar_metricas)
+        self._m = {"adam_u2": 0.0, "adam_g2": 0.0, "adam_v2": 0.0,
+                   "adam_dv2": 0.0, "adam_n": 0,
+                   "muon_u2": 0.0, "muon_g2": 0.0, "muon_b2": 0.0,
+                   "muon_n": 0}
 
     # ------------------------------------------------------------------ API
     @torch.no_grad()
@@ -268,6 +280,14 @@ class MuonClipAdamW(torch.optim.Optimizer):
         if grupo.get("weight_decay_muon", 0.0) > 0:
             p.mul_(1.0 - lr * grupo["weight_decay_muon"])
         p.add_(Ghat, alpha=-lr)
+        # v22 (Teo 34.1 — observador puro; só com coletar=True): soma ‖·‖²
+        # dos tensores JÁ computados pelo passo (g, buf, Ghat) — nenhuma
+        # mutação de estado, nenhum RNG ⟹ bit-a-bit v21 com coletar=False.
+        if self.coletar:
+            self._m["muon_u2"] += float(Ghat.float().pow(2).sum())
+            self._m["muon_b2"] += float(buf.float().pow(2).sum())
+            self._m["muon_g2"] += float(g.float().pow(2).sum())
+            self._m["muon_n"] += p.numel()
 
     # ------------------------------------------------------------ AdamW
     def _passo_adamw(self, p, g, grupo, lr: float):
@@ -280,6 +300,11 @@ class MuonClipAdamW(torch.optim.Optimizer):
         st["step"] += 1
         t = st["step"]
         ea, eas = st["exp_avg"], st["exp_avg_sq"]
+        # v22: deriva REAL do segundo momento Δv = (1−β2)(g⊙g − v_pre) —
+        # capturada ANTES do mul_ de eas (com coletar=True; Teo 34.4)
+        dv = None
+        if self.coletar:
+            dv = g.float().pow(2).sub_(eas.float()).mul_(1.0 - β2)
         ea.mul_(β1).add_(g, alpha=1.0 - β1)
         eas.mul_(β2).addcmul_(g, g, value=1.0 - β2)
         corr1 = 1.0 - β1 ** t
@@ -288,6 +313,74 @@ class MuonClipAdamW(torch.optim.Optimizer):
         if grupo["weight_decay"] > 0:
             p.mul_(1.0 - lr * grupo["weight_decay"])
         p.add_(passo, alpha=-lr)
+        # v22 (Teo 34.1 — observador puro): soma ‖·‖² de (passo, g, v, Δv)
+        if self.coletar:
+            self._m["adam_u2"] += float(passo.float().pow(2).sum())
+            self._m["adam_v2"] += float(eas.float().pow(2).sum())
+            self._m["adam_g2"] += float(g.float().pow(2).sum())
+            if dv is not None:
+                self._m["adam_dv2"] += float(dv.pow(2).sum())
+            self._m["adam_n"] += p.numel()
+
+    # ------------------------------------------------ v22: produtores
+    def ler_metricas_e_zerar(self) -> dict:
+        """Devolve uma CÓPIA dos acumuladores e zera-os (janela = o intervalo
+        entre leituras — no treinador, o ciclo `a_cada` da tabela v17)."""
+        m = dict(self._m)
+        for k in self._m:
+            self._m[k] = 0 if k.endswith("_n") else 0.0
+        return m
+
+    def produtor_v22(self, ema_deriva: float | None, tau_ema: float = 400.0
+                     ) -> tuple[dict[str, float], float | None]:
+        """Produz os 4 sinais AdamW/Muon da tabela v17 (Teo 29.16) a partir
+        do estado REAL do otimizador (sem proxies — Teos 34.2–34.5):
+
+          razao_update_grad      = RMS(passo AdamW)            ∈ (0,~1]
+          deriva_seg_momento     = RMS(Δv)/RMS(v) calibrada pela própria EMA
+          razao_momentum_grad    = RMS(buf)·√(1−β²)/RMS(g)      (piso 1.0)
+          razao_rms_mecanismos   = RMS(update Muon)/RMS(update AdamW)
+
+        `ema_deriva` é a EMA anterior de deriva_seg_momento (calibração
+        pivotal; None na 1ª leitura ⟹ semente). Retorna (sinais, ema_nova).
+        Janela sem passos (p.grad ausente em tudo) ⟹ ({}, ema_entrada)."""
+        m = self.ler_metricas_e_zerar()
+        sinais: dict[str, float] = {}
+        na, nm = int(m["adam_n"]), int(m["muon_n"])
+        ema_retorno = ema_deriva
+        if na > 0:
+            rms_u = math.sqrt(m["adam_u2"] / na)
+            sinais["razao_update_grad"] = float(rms_u)
+            rms_v = math.sqrt(m["adam_v2"] / na)
+            d_raw = math.sqrt(m["adam_dv2"] / na) / max(rms_v, 1e-24)
+            if ema_deriva is None or ema_deriva <= 0.0:
+                ema_nova = d_raw          # semente = 1ª observação real
+            else:
+                ema_nova = (1.0 - 1.0 / tau_ema) * ema_deriva \
+                    + d_raw / tau_ema
+            sinais["deriva_seg_momento"] = float(d_raw / max(ema_nova, 1e-24))
+            ema_retorno = ema_nova
+            rms_g = math.sqrt(m["adam_g2"] / na)
+            sinais["_rms_g_adam"] = float(rms_g)   # diagnóstico (hub)
+        if nm > 0:
+            β = 0.0
+            for grupo in self.param_groups:
+                if grupo.get("eh_muon", False):
+                    β = float(grupo["momentum"])
+                    break
+            rms_b = math.sqrt(m["muon_b2"] / nm)
+            rms_g = math.sqrt(m["muon_g2"] / nm)
+            # Teo 34.3: piso estacionário E‖b‖² = n·σ²/(1−β²) ⟹ r=1 no
+            # ruído i.i.d.; r>1 ⟺ gradientes correlacionados
+            sinais["razao_momentum_grad"] = float(
+                rms_b * math.sqrt(max(1.0 - β * β, 1e-9)) / max(rms_g, 1e-24))
+            if na > 0:
+                rms_u_adam = math.sqrt(m["adam_u2"] / na)
+                rms_u_muon = math.sqrt(m["muon_u2"] / nm)
+                # Teo 24.11 (comparabilidade de RMS entre mecanismos)
+                sinais["razao_rms_mecanismos"] = float(
+                    rms_u_muon / max(rms_u_adam, 1e-24))
+        return sinais, ema_retorno
 
     # ----------------------------------------------------------- QK-clip
     @torch.no_grad()
@@ -344,4 +437,8 @@ def criar_otimizador_muuonclip(modelo: torch.nn.Module, cfg_treino,
         nesterov=bool(cfg.get("nesterov", True)),
         ns_iters=int(cfg.get("ns_iters", 5)),
         tau_qk=(float(cfg["tau_qk"]) if cfg.get("tau_qk") else None),
-        escala_muon=float(cfg.get("escala_muon", 0.2)))
+        escala_muon=float(cfg.get("escala_muon", 0.2)),
+        # v22 (doc 34 §2): acumuladores só com a tabela v17 ativa —
+        # observadores puros (Teo 34.1); desligados ⟹ custo zero
+        coletar_metricas=bool(dict(getattr(cfg_treino, "autorreg_v17", {})
+                                   or {}).get("ativo", False)))

src/khtst/treino/treinador.py

@@ -41,6 +41,7 @@ from khtst.treino.cirurgia_grad import NormalizadorPerdas, pcgrad_duas_perdas
 # v18 — REFAATORAÇÃO (requisito §1.1.3/§3.2, doc 30 §0): responsabilidades
 # separadas em 4 mixins; esta classe é a FACADE (API pública intacta)
 from khtst.treino.treinador_lr import MixinLR
+from khtst.treino.treinador_v22 import MixinV17v22
 from khtst.treino.treinador_perdas import MixinPerdas
 from khtst.treino.treinador_estado import MixinEstado
 from khtst.treino.treinador_fases import MixinFases
@@ -75,7 +76,8 @@ def _audio_para_tensor(onda_fp16: bytes) -> torch.Tensor:
     return torch.from_numpy(y)
 
 
-class TreinadorExtensao(MixinLR, MixinPerdas, MixinEstado, MixinFases):
+class TreinadorExtensao(MixinLR, MixinPerdas, MixinEstado, MixinFases,
+                        MixinV17v22):
     """Facade do treinador (v18): LR/ABMO/CIAR (MixinLR), perdas+PCGrad
     (MixinPerdas), estados/checkpoints/gate (MixinEstado), fases/DPO/SOM
     (MixinFases). O laço de passos (_passo) e a orquestração ficam aqui.
@@ -281,20 +283,11 @@ class TreinadorExtensao(MixinLR, MixinPerdas, MixinEstado, MixinFases):
         # multiplicativo em log-escala para lr, λ's auxiliares e peso MoE;
         # calibração de temperatura na inferência (Teo 28.8)
         self.autorreg = Autorregulador(getattr(cfg.treino, "autorreg", {}))
-        # v21 (doc 33 §5, Teo 33.14; PLANO item 6) — TABELA v17 (Teo 29.16):
-        # o AutorreguladorEstendido existia SEM chamador; agora recebe sinais
-        # REAIS do _passo (produtores no _ciclo_autorreg_v17). Nascimento
-        # neutro: ativo=False ⟹ nenhum movimento (v20 exato).
-        cfg_av17 = dict(getattr(cfg.treino, "autorreg_v17", {}) or {})
-        self.autorreg_v17 = None
-        if bool(cfg_av17.get("ativo", False)):
-            from khtst.aprimoramento.autorregulacao_estendida import (
-                AutorreguladorEstendido)
-            self.autorreg_v17 = AutorreguladorEstendido(cfg_av17, hub=self.hub)
-            self._norma_peso_ref: dict[int, float] = {}   # ‖W‖₂ de referência
-            self._perda_v17_anterior: float | None = None
-            from collections import deque as _dq
-            self._clip_v17: _dq = _dq(maxlen=100)         # flags de clip
+        # v21/v22 — TABELA v17 (Teo 29.16; docs 33 §5 / 34 §§2–5):
+        # construção opt-in + estado dos produtores (MixinV17v22 —
+        # refatoração estrutural da v22 para o limite <80 KB da
+        # suíte v18; movimento VERBATIM — Teo 34.11).
+        self._init_estado_v17(cfg)
         # v20 (doc 32 §§7/9) — PID do balanceamento MoE (Teo 32.10,
         # requisito 1.8/2.7) e GuardaRuntime de RAM (Teo 32.12, requisito
         # 3.6) — ambos NASCIMENTO NEUTRO (ativo=False ⟹ v19 exato)
@@ -510,65 +503,6 @@ class TreinadorExtensao(MixinLR, MixinPerdas, MixinEstado, MixinFases):
 
     # ---------------- um passo (PCGrad CE × auxiliares) ----------------
     # ------------------------------------------------------------------
-    # v21 — TABELA v17 DE 18 SINAIS (doc 33 §5, Teo 33.14; requisito do
-    # PLANO item 6): produtores REAIS para o AutorreguladorEstendido.
-    # HONESTIDADE (§11 doc 33): o treinador produz AQUI 8 dos 18 sinais —
-    # os outros 10 (deriva_seg_momento, razao_update_grad,
-    # razao_momentum_grad, razao_rms_mecanismos, margem_abmo_norm,
-    # taxa_aceitacao_ciar, taxa_expansao, taxa_prune, ativacao_som,
-    # tau_qk-produtor próprio) ficam com SINAL 0 (controlador não move):
-    # não há produtor barato e honesto para eles sem instrumentar os
-    # mecanismos internos (AdamW segundos momentos, CIAR, crescimento).
-    # Inventar proxies não calibrados violaria a regra de sinais ∈ [−1,1]
-    # do projeto (Teo 29.16).
-    def _ciclo_autorreg_v17(self, perda_valor: float) -> None:
-        tel = {}
-        # var_grad_norm — CV² da norma do gradiente (proxy de curvatura
-        # barulhenta; alvo 1.0 conforme a tabela Teo 29.16)
-        janela = self.hub.janela("grad_norm", 50)
-        if len(janela) >= 8:
-            m = sum(janela) / len(janela)
-            var = sum((v - m) ** 2 for v in janela) / len(janela)
-            tel["var_grad_norm"] = var / max(m * m, 1e-12)
-        # norma_peso — ‖W‖₂(amostra)/‖W‖₂(ref inicial): deriva de norma
-        # (alvo 1.0 = estável; crescimento ⟹ wd sobe)
-        if self.passo_global % self.autorreg_v17.a_cada == 0:
-            norms = []
-            for i, mod in enumerate(self.modelo.modules()):
-                for nome, p_ in list(mod.named_parameters(recurse=False)):
-                    if p_.ndim >= 2 and (i + len(norms)) % 7 == 0 and p_.numel() > 0:
-                        with torch.no_grad():
-                            n2 = float(p_.float().norm())
-                        ref = self._norma_peso_ref.get(id(p_))
-                        if ref is None:
-                            self._norma_peso_ref[id(p_)] = max(n2, 1e-12)
-                        else:
-                            norms.append(n2 / max(ref, 1e-12))
-            if norms:
-                tel["norma_peso"] = sum(norms) / len(norms)
-        # taxa_acerto_trust — o EMA do trust do PRS (alvo 0.60 da tabela)
-        tel["taxa_acerto_trust"] = float(self.prs.trust)
-        # delta_perda_passo — progresso relativo normalizado (positivo=melhora)
-        if self._perda_v17_anterior is not None and perda_valor > 0:
-            ant = self._perda_v17_anterior
-            tel["delta_perda_passo"] = (ant - perda_valor) / max(ant, 1e-9)
-        self._perda_v17_anterior = perda_valor
-        # razao_clip — taxa de passos com clip ativo (alvo 0.10 da tabela)
-        if len(self._clip_v17) >= 8:
-            tel["razao_clip"] = sum(self._clip_v17) / len(self._clip_v17)
-        # razao_moe_ce — L_moe_lb/L_ce do passo (Teo 28.7-ii; alvo 0.5)
-        if self._razoes_aux.get("moe_lb") is not None:
-            tel["razao_moe_ce"] = float(self._razoes_aux["moe_lb"])
-        # logit_max — teto dos logits NoPE (produtor muonclip; Teo 29.15
-        # bisseção)
-        lmax = self.hub.janela("muonclip/logit_max", 1)
-        if lmax:
-            tel["logit_max"] = float(lmax[-1])
-        valores = self.autorreg_v17.registrar(tel)
-        self.autorreg_v17.aplicar_em_otimizador(valores, self.otimizador)
-        if self.prs is not None:
-            self.autorreg_v17.aplicar_em_prs(valores, self.prs)
-
     def _passo(self) -> float:
         t0 = time.time()
         self.modelo.train()
@@ -708,8 +642,10 @@ class TreinadorExtensao(MixinLR, MixinPerdas, MixinEstado, MixinFases):
             # (sem termo não-estacionário); fase B consolida com λ_som
             peso_som = 0.0 if self.regime.fase == "A" else self.cfg.treino.lambda_som
             if peso_som > 0.0:
-                # v16 — λ_som autorregulado (Teo 28.7-ii)
-                peso_som = peso_som * self.autorreg.lambda_escala("som")
+                # v16 — λ_som autorregulado (Teo 28.7-ii); v22 (Teo 34.8-ii):
+                # multiplicador EXTERNO da tabela v17 (centro 1,0 ⟹ neutro)
+                peso_som = peso_som * self.autorreg.lambda_escala("som") \
+                    * getattr(self, "_peso_som_v17", 1.0)
                 auxiliares.append(self._aux_norm("som", peso_som, perda_som))
                 if perda_valor > 0:
                     self._razoes_aux["som"] = float(perda_som) / perda_valor
@@ -830,8 +766,10 @@ class TreinadorExtensao(MixinLR, MixinPerdas, MixinEstado, MixinFases):
                     self._taxa_ativos_som = None
             self.rpp.decidir_reward(self._taxa_ativos_som)
             lr = self.rpp.lr_efetivo(lr)
-        # v9 — CIAR: κ_t limitado (Teorema 20.4 — Robbins–Monro preservado)
-        lr = lr * self.ciar["kappa"]
+        # v9 — CIAR: κ_t limitado (Teorema 20.4 — Robbins–Monro preservado);
+        # v22 (Teo 34.7): κ_ext é o multiplicador EXTERNO da tabela v17
+        # (centro 1,0 ⟹ neutro; limites ×[0.25,2.5] no applier)
+        lr = lr * self.ciar["kappa"] * self.ciar.get("kappa_ext", 1.0)
         # v16 — autorregulação RM (Teo 28.5/28.7): escala multiplicativa final
         lr = lr * self.autorreg.lr_escala()
         for gp in self.otimizador.param_groups:
@@ -879,10 +817,13 @@ class TreinadorExtensao(MixinLR, MixinPerdas, MixinEstado, MixinFases):
                                     self.passo_global,
                                     motivo="logit máximo excedeu τ — W_q escalado")
         if self.passo_global % 20 == 0 and self.tau_qk is not None:
-            from khtst.mamba3.hybrid import NoPEAtencao
+            # v22 (Teo 34.9-ii): filtro por ATRIBUTO (medir_logit +
+            # ultimo_logit_max) — generalização defensiva do isinstance
+            # (mesma semântica para NoPEAtencao; cobre outros gravadores
+            # com o mesmo contrato)
             lmaxes = [float(m.ultimo_logit_max) for m in self.modelo.modules()
-                      if isinstance(m, NoPEAtencao)
-                      and m.ultimo_logit_max is not None]
+                      if getattr(m, "medir_logit", False)
+                      and getattr(m, "ultimo_logit_max", None) is not None]
             if lmaxes:
                 self.hub.atributo("muonclip/logit_max", max(lmaxes),
                                   self.passo_global)
@@ -1070,6 +1011,10 @@ class TreinadorExtensao(MixinLR, MixinPerdas, MixinEstado, MixinFases):
         antes = sum(janela[:meio]) / meio
         depois = sum(janela[meio:]) / (len(janela) - meio)
         delta = depois - antes                      # < 0 = melhorando
+        # v22 (Teo 34.7): produtor taxa_aceitacao_ciar — janela ACEITA ⟺
+        # melhora (delta<0); observador puro (só existe com v17 ativo)
+        if getattr(self, "_ciar_aceit", None) is not None:
+            self._ciar_aceit.append(1.0 if delta < 0 else 0.0)
         epsilon = float(cfg_a.get("ppl_alvo", 17.0)) * 0.0 + 1e-3
         acoes = {}
         # 1) raio de janela: estagnado ⇒ MAIS contexto (raio ×1,5, cap raio_max);

src/khtst/treino/treinador_v22.py

@@ -0,0 +1,185 @@
+# -*- coding: utf-8 -*-
+"""MixinV17v22 — TABELA v17 DE 18 SINAIS: produtores + ciclo (v21/v22).
+
+v18 — REFATORAÇÃO do treinador (doc 30 §0): uma responsabilidade por
+mixin; o `TreinadorExtensao` (facade em treinador.py) compõe os mixins e
+mantém a API pública intacta. v22 (doc 34 §§2–5/§7): extraído do
+treinador.py para devolver o arquivo ao limite <80 KB da suíte v18 —
+MOVIMENTO VERBATIM (refatoração estrutural, não semântica; suítes v18 e
+v22 exercitam as duas faces — Teo 34.11).
+
+Conteúdo (docs 33 §5 / 34 §§2–5; Teos 33.14 e 34.2–34.10):
+  • _init_estado_v17 — construção opt-in do AutorreguladorEstendido + o
+    estado dos produtores (nascimento neutro: ativo=False ⟹ None);
+  • _ciclo_autorreg_v17 — os 18 produtores REAIS (v21: 8; v22: +10 —
+    estado real do otimizador via observadores puros, contadores SOM,
+    folga ABMO, aceitação CIAR, τ_qk fresco) e os 3 adaptadores
+    (otimizador / PRS / reguladores do treinador).
+"""
+
+from __future__ import annotations
+
+import torch
+
+
+class MixinV17v22:
+    # ------------------------------------------------------------------
+    def _init_estado_v17(self, cfg) -> None:
+        """v21/v22 — TABELA v17 (Teo 29.16): o AutorreguladorEstendido
+        recebe sinais REAIS do _ciclo_autorreg_v17. Nascimento neutro:
+        ativo=False ⟹ None (comportamento v21/v20 exato — Teo 33.14)."""
+        cfg_av17 = dict(getattr(cfg.treino, "autorreg_v17", {}) or {})
+        self.autorreg_v17 = None
+        if bool(cfg_av17.get("ativo", False)):
+            from khtst.aprimoramento.autorregulacao_estendida import (
+                AutorreguladorEstendido)
+            self.autorreg_v17 = AutorreguladorEstendido(cfg_av17, hub=self.hub)
+            self._norma_peso_ref: dict[int, float] = {}   # ‖W‖₂ de referência
+            self._perda_v17_anterior: float | None = None
+            from collections import deque as _dq
+            self._clip_v17: _dq = _dq(maxlen=100)         # flags de clip
+            # v22 (doc 34 §§2–4, Teos 34.2–34.9) — estado dos 10 produtores
+            # novos: EMA de calibração da deriva, aceitação CIAR, contadores
+            # de crescimento anteriores, multiplicador peso_som
+            self._ema_deriva_v22: float | None = None
+            self._ciar_aceit: _dq = _dq(maxlen=64)        # janelas com melhora
+            self._cont_cresc_anterior: dict | None = None
+            self._peso_som_v17: float = 1.0               # ×1,0 = neutro
+
+    # v21/v22 — TABELA v17 DE 18 SINAIS (docs 33 §5 e 34 §§2–5; Teos 33.14
+    # e 34.2–34.10; requisito do PLANO item 6): produtores REAIS para o
+    # AutorreguladorEstendido. v21 produzia 8/18; v22 FECHA 18/18:
+    #   v21 (8):  var_grad_norm, norma_peso, taxa_acerto_trust,
+    #             delta_perda_passo, razao_clip, razao_moe_ce, logit_max,
+    #             (ativacao_som declarado mas sem produtor)
+    #   v22 (+10): deriva_seg_momento, razao_update_grad, razao_momentum_grad,
+    #             razao_rms_mecanismos (estado REAL do otimizador —
+    #             observadores puros, Teo 34.1), margem_abmo_norm (folga da
+    #             barreira), taxa_aceitacao_ciar (janelas com melhora),
+    #             taxa_expansao/taxa_prune (contadores reais GG/GCS/GSOM),
+    #             ativacao_som (taxa_ativos_global — qualquer fase) e a
+    #             leitura PRÓPRIA de logit_max direto dos módulos NoPE
+    #             (fresca a cada ciclo — Teo 34.9). Todos os sinais ∈ [−1,1]
+    #             após sinal_razao; SEM proxies inventados (regra Teo 29.16).
+    def _ciclo_autorreg_v17(self, perda_valor: float) -> None:
+        tel = {}
+        # var_grad_norm — CV² da norma do gradiente (proxy de curvatura
+        # barulhenta; alvo 1.0 conforme a tabela Teo 29.16)
+        janela = self.hub.janela("grad_norm", 50)
+        if len(janela) >= 8:
+            m = sum(janela) / len(janela)
+            var = sum((v - m) ** 2 for v in janela) / len(janela)
+            tel["var_grad_norm"] = var / max(m * m, 1e-12)
+        # norma_peso — ‖W‖₂(amostra)/‖W‖₂(ref inicial): deriva de norma
+        # (alvo 1.0 = estável; crescimento ⟹ wd sobe)
+        if self.passo_global % self.autorreg_v17.a_cada == 0:
+            norms = []
+            for i, mod in enumerate(self.modelo.modules()):
+                for nome, p_ in list(mod.named_parameters(recurse=False)):
+                    if p_.ndim >= 2 and (i + len(norms)) % 7 == 0 and p_.numel() > 0:
+                        with torch.no_grad():
+                            n2 = float(p_.float().norm())
+                        ref = self._norma_peso_ref.get(id(p_))
+                        if ref is None:
+                            self._norma_peso_ref[id(p_)] = max(n2, 1e-12)
+                        else:
+                            norms.append(n2 / max(ref, 1e-12))
+            if norms:
+                tel["norma_peso"] = sum(norms) / len(norms)
+        # taxa_acerto_trust — o EMA do trust do PRS (alvo 0.60 da tabela)
+        tel["taxa_acerto_trust"] = float(self.prs.trust)
+        # delta_perda_passo — progresso relativo normalizado (positivo=melhora)
+        if self._perda_v17_anterior is not None and perda_valor > 0:
+            ant = self._perda_v17_anterior
+            tel["delta_perda_passo"] = (ant - perda_valor) / max(ant, 1e-9)
+        self._perda_v17_anterior = perda_valor
+        # razao_clip — taxa de passos com clip ativo (alvo 0.10 da tabela)
+        if len(self._clip_v17) >= 8:
+            tel["razao_clip"] = sum(self._clip_v17) / len(self._clip_v17)
+        # razao_moe_ce — L_moe_lb/L_ce do passo (Teo 28.7-ii; alvo 0.5)
+        if self._razoes_aux.get("moe_lb") is not None:
+            tel["razao_moe_ce"] = float(self._razoes_aux["moe_lb"])
+        # logit_max — v22 (Teo 34.9): leitura PRÓPRIA e FRESCA do teto dos
+        # logits NoPE a cada ciclo (antes: push do hub só a cada 20 passos).
+        # O filtro por ATRIBUTO (medir_logit + ultimo_logit_max) cobre NoPEAtencao
+        # do tronco E qualquer outro gravador com o mesmo contrato (ex.
+        # MixtureOfAttention de percepcao/atencao.py) — generalização
+        # defensiva com a MESMA semântica (Teo 34.9).
+        lmaxes = [float(m.ultimo_logit_max) for m in self.modelo.modules()
+                  if getattr(m, "medir_logit", False)
+                  and getattr(m, "ultimo_logit_max", None) is not None]
+        tau_qk_atual = None
+        for gp_ in self.otimizador.param_groups:
+            if gp_.get("tau_qk") is not None:
+                tau_qk_atual = float(gp_["tau_qk"])
+                break
+        if lmaxes:
+            tel["logit_max"] = max(lmaxes)
+            self.hub.atributo("muonclip/logit_max", tel["logit_max"],
+                              self.passo_global)
+            if tau_qk_atual:
+                # telemetria de atividade do clip (não é controlador)
+                frac_clip = sum(1.0 for l in lmaxes if l > tau_qk_atual) \
+                    / len(lmaxes)
+                self.hub.atributo("muonclip/frac_cabecas_acima_tau",
+                                  frac_clip, self.passo_global)
+        # ---------------- v22: os 10 produtores restantes ----------------
+        # (1–4) estado REAL do otimizador — observadores puros (Teos 34.2–34.5)
+        if getattr(self.otimizador, "coletar", False):
+            sinais_opt, self._ema_deriva_v22 = \
+                self.otimizador.produtor_v22(self._ema_deriva_v22)
+            for k_, v_ in sinais_opt.items():
+                if k_ != "_rms_g_adam":
+                    tel[k_] = float(v_)
+                else:
+                    self.hub.atributo("autorreg_v17/_rms_g_adam", float(v_),
+                                      self.passo_global)
+        # (5) margem_abmo_norm — folga da barreira cap/lr_base (Teo 34.6)
+        if bool(self._abmo.get("ativo", True)) and self._L_hat > 0:
+            lr_b = self.lr_base()
+            if lr_b > 0:
+                cap = (2.0 - float(self._abmo.get("margem", 0.25))) \
+                    / max(self._L_hat, 1e-6)
+                tel["margem_abmo_norm"] = cap / lr_b
+        # (6) taxa_aceitacao_ciar — fração de janelas com melhora (Teo 34.7).
+        # v22: computada no CADENCE do ciclo (janela da perda do hub, mesma
+        # estatística de metades do autoajuste — Teo 19.26), não apenas na
+        # cadência lenta do autoajustar; o hook em autoajustar_parametros
+        # alimenta o mesmo deque quando roda.
+        jan_ci = self.hub.janela("perda/treino", 24)
+        if len(jan_ci) >= 16:
+            meio = len(jan_ci) // 2
+            d_ci = (sum(jan_ci[meio:]) / (len(jan_ci) - meio)
+                    - sum(jan_ci[:meio]) / meio)
+            self._ciar_aceit.append(1.0 if d_ci < 0 else 0.0)
+        if len(self._ciar_aceit) >= 4:
+            tel["taxa_aceitacao_ciar"] = sum(self._ciar_aceit) \
+                / len(self._ciar_aceit)
+        # (7–8) taxa_expansao / taxa_prune — diferenças de contadores REAIS
+        # de inserção/poda entre ciclos, normalizadas por unidades (Teo 34.8)
+        if self.orquestrador is not None and \
+                hasattr(self.orquestrador, "contadores_crescimento"):
+            cont = self.orquestrador.contadores_crescimento()
+            if self._cont_cresc_anterior is not None:
+                d_ins = cont["insercoes"] - self._cont_cresc_anterior["insercoes"]
+                d_pod = cont["podas"] - self._cont_cresc_anterior["podas"]
+                unid = max(cont["unidades"], 1)
+                tel["taxa_expansao"] = max(0.0, d_ins) / unid
+                tel["taxa_prune"] = max(0.0, d_pod) / unid
+            self._cont_cresc_anterior = cont
+        # (9) ativacao_som — taxa REAL de unidades ativas do orquestrador,
+        # em QUALQUER fase (a fração existe mesmo sem treino SOM — Teo 34.8)
+        if self.orquestrador is not None and \
+                hasattr(self.orquestrador, "taxa_ativos_global"):
+            try:
+                tel["ativacao_som"] = float(
+                    self.orquestrador.taxa_ativos_global())
+            except Exception:
+                pass  # falha de medição ⟹ sinal ausente (nunca 0 inventado)
+        # registrar → aplicar (otimizador + PRS + NOVOS reguladores do
+        # treinador: ABMO/CIAR/crescimento/peso_som — Teos 34.6–34.9)
+        valores = self.autorreg_v17.registrar(tel)
+        self.autorreg_v17.aplicar_em_otimizador(valores, self.otimizador)
+        if self.prs is not None:
+            self.autorreg_v17.aplicar_em_prs(valores, self.prs)
+        self.autorreg_v17.aplicar_em_treinador(valores, self)

tests/test_khtst_v22.py

@@ -0,0 +1,332 @@
+# -*- coding: utf-8 -*-
+"""SUITE v22 — verificação doc 34 (fechamento 18/18 da tabela v17).
+
+Seções:
+  §1 Tabela — 18 controladores, centros = constantes de produção (Teo 29.16)
+  §2 Otimizador — acumuladores neutros (Teo 34.1) + produtor_v22 (Teos 34.2–34.5)
+  §3 SOM — contadores de crescimento reais (Teo 34.8-i)
+  §4 Appliers — nascimento neutro por base capturada + clamps (Teo 34.10)
+  §5 Treinador — produtores v22 presentes no ciclo + espera configurável
+  §6 Dados reais — resultados do A/B scripts/33_teste_v22.py (§8 doc 34)
+"""
+import os
+import sys
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src"))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src",
+                                "khtst", "acelerado"))
+
+import torch  # noqa: E402
+
+RAIZ = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+_OK = 0
+_FALHAS = []
+
+
+def check(nome, cond, detalhe=""):
+    global _OK
+    if cond:
+        _OK += 1
+        print(f"  ✓ {nome}" + (f" — {detalhe}" if detalhe else ""))
+    else:
+        _FALHAS.append(nome)
+        print(f"  ✗ {nome} — {detalhe}")
+
+
+print("=" * 76)
+print("SUITE v22 — fechamento 18/18 da tabela v17 (doc 34)")
+print("=" * 76)
+
+# =============== §1 tabela (Teo 29.16, fechamento doc 34 §11) =============
+print("§1 Tabela 18/18:")
+from khtst.aprimoramento.autorregulacao_estendida import (  # noqa: E402
+    AutorreguladorEstendido)
+from khtst.aprimoramento.controlador_hibrido import (  # noqa: E402
+    ControladorBissecao, ControladorHibrido)
+
+areg = AutorreguladorEstendido({"ativo": True, "a_cada": 1, "espera": 1})
+check("18 controladores registrados", len(areg._controladores) == 18,
+      f"{len(areg._controladores)}")
+check("centros = constantes de produção (nascimento neutro)",
+      abs(areg._valor("adamw_beta1") - 0.90) < 1e-9
+      and abs(areg._valor("muon_momentum") - 0.95) < 1e-9
+      and abs(areg._valor("peso_som") - 0.05) < 1e-9
+      and abs(areg._valor("tau_qk") - 100.0) < 1e-9)
+# tabela completa: todo controlador consome ALGUMA chave do produtor
+tel_cheio = {
+    "var_grad_norm": 0.9, "deriva_seg_momento": 1.2, "razao_update_grad": 0.7,
+    "norma_peso": 1.05, "razao_momentum_grad": 1.3, "razao_rms_mecanismos": 0.8,
+    "logit_max": 90.0, "taxa_acerto_trust": 0.5, "delta_perda_passo": 0.02,
+    "razao_clip": 0.15, "razao_moe_ce": 0.4, "margem_abmo_norm": 1.4,
+    "taxa_aceitacao_ciar": 0.55, "taxa_expansao": 0.01, "taxa_prune": 0.0,
+    "ativacao_som": 0.85,
+}
+vals = areg.registrar(tel_cheio)
+check("todos os 18 valores produzidos", len(vals) == 18)
+for _ in range(6):                       # move além da espera=1
+    vals = areg.registrar(tel_cheio)
+mov = {n: c for n, c in areg._controladores.items()
+       if isinstance(c, ControladorHibrido)
+       and abs(c.valor - c.centro) > 1e-12}
+check("10 sinais novos movem os controladores correspondentes",
+      all(n in mov for n in ("adamw_beta2", "adamw_eps", "muon_momentum",
+                             "muon_escala", "abmo_margem", "ciar_kappa",
+                             "cresc_expand", "cresc_prune", "peso_som")),
+      f"{len(mov)} híbridos movendo")
+tb = areg._controladores["tau_qk"]
+check("τ_qk (bisseção) consome logit_max e fica no conjunto seguro",
+      isinstance(tb, ControladorBissecao) and 40.0 <= tb.tau <= 400.0,
+      f"τ={tb.tau:.2f}")
+# sinal invertido da poda (Teo 34.8-ii): taxa_prune ABAIXO do alvo ⟹ v↑
+areg_p = AutorreguladorEstendido({"ativo": True, "a_cada": 1, "espera": 1})
+tel_poda_alta = dict(tel_cheio, taxa_prune=0.20)   # acima do alvo 0.02
+tel_poda_baixa = dict(tel_cheio, taxa_prune=0.0)   # abaixo
+for _ in range(6):
+    areg_p.registrar(tel_poda_alta)
+v_alta = areg_p._valor("cresc_prune")
+areg_p2 = AutorreguladorEstendido({"ativo": True, "a_cada": 1, "espera": 1})
+for _ in range(6):
+    areg_p2.registrar(tel_poda_baixa)
+v_baixa = areg_p2._valor("cresc_prune")
+check("poda com sinal INVERTIDO: taxa abaixo do alvo ⟹ limiar sobe",
+      v_baixa > v_alta, f"{v_baixa:.4f} > {v_alta:.4f}")
+
+# =============== §2 otimizador (Teos 34.1–34.5) ============================
+print("§2 Otimizador — acumuladores e produtor_v22:")
+from khtst.treino.otimizadores import MuonClipAdamW  # noqa: E402
+
+torch.manual_seed(2026)
+lin = torch.nn.Linear(8, 8)
+emb = torch.nn.Embedding(16, 4)
+opt_off = MuonClipAdamW(
+    [{"params": [lin.weight], "eh_muon": True},
+     {"params": [emb.weight, lin.bias], "eh_muon": False}], lr=1e-3)
+check("default coletar=False (custo zero — Teo 34.1)",
+      getattr(opt_off, "coletar", False) is False)
+
+# neutralidade bit-a-bit: 3 passos com e sem coleta a partir do MESMO estado
+def _tres_passos(coletar: bool):
+    torch.manual_seed(2026)
+    lin_ = torch.nn.Linear(8, 8)
+    emb_ = torch.nn.Embedding(16, 4)
+    o = MuonClipAdamW(
+        [{"params": [lin_.weight], "eh_muon": True},
+         {"params": [emb_.weight, lin_.bias], "eh_muon": False}],
+        lr=1e-3, coletar_metricas=coletar)
+    gs = []
+    for _ in range(3):
+        x = torch.randint(0, 16, (4,))
+        perda = lin_(torch.randn(4, 8)).pow(2).mean() + emb_(x).pow(2).mean()
+        o.zero_grad(); perda.backward(); o.step()
+        gs.append(float(perda.detach()))
+    return gs, {k: v.clone() for k, v in lin_.state_dict().items()}, \
+        {k: v.clone() for k, v in emb_.state_dict().items()}
+
+g1, s1, e1 = _tres_passos(False)
+g2, s2, e2 = _tres_passos(True)
+check("Teo 34.1: trajetória bit-a-bit com coletar=True (perdas)",
+      g1 == g2, f"{g1[:2]}")
+check("Teo 34.1: pesos bit-a-bit (Muon e AdamW)",
+      all(torch.equal(s1[k], s2[k]) for k in s1)
+      and all(torch.equal(e1[k], e2[k]) for k in e1))
+
+# produtor_v22: faixas honestas
+sinais, ema = opt_off.produtor_v22(None) if opt_off.coletar else ({}, None)
+opt_on = MuonClipAdamW(
+    [{"params": [lin.weight], "eh_muon": True},
+     {"params": [emb.weight, lin.bias], "eh_muon": False}],
+    lr=1e-3, coletar_metricas=True)
+for i in range(10):
+    x = torch.randint(0, 16, (4,))
+    perda = lin(torch.randn(4, 8)).pow(2).mean() + emb(x).pow(2).mean()
+    opt_on.zero_grad(); perda.backward(); opt_on.step()
+sinais, ema = opt_on.produtor_v22(None)
+check("4 sinais do estado REAL presentes",
+      all(k in sinais for k in ("razao_update_grad", "deriva_seg_momento",
+                                "razao_momentum_grad",
+                                "razao_rms_mecanismos")),
+      ", ".join(f"{k}={sinais.get(k, float('nan')):.3f}"
+                for k in ("razao_update_grad", "razao_momentum_grad")))
+check("Teo 34.2: razao_update_grad ∈ (0, 1.2]",
+      0.0 < sinais["razao_update_grad"] <= 1.2,
+      f"{sinais['razao_update_grad']:.4f}")
+check("Teo 34.4: deriva calibrada perto de 1 (semente = 1ª obs)",
+      abs(sinais["deriva_seg_momento"] - 1.0) < 1e-9)
+check("Teo 34.3: razao_momentum_grad > 0 (piso estacionário)",
+      sinais["razao_momentum_grad"] > 0,
+      f"{sinais['razao_momentum_grad']:.4f}")
+check("Teo 34.5: razao_rms_mecanismos > 0 e finita",
+      0.0 < sinais["razao_rms_mecanismos"] < float("inf"),
+      f"{sinais['razao_rms_mecanismos']:.4f}")
+# zerar após leitura
+sinais2, _ = opt_on.produtor_v22(ema)
+check("acumuladores zerados após leitura (janela por ciclo)",
+      "razao_update_grad" not in sinais2)
+
+# =============== §3 SOM (Teo 34.8-i) =======================================
+print("§3 SOM — contadores de crescimento:")
+from khtst.memoria.variantes_crescimento import (  # noqa: E402
+    GSOM, GrowingCellStructures, GrowingGrid)
+torch.manual_seed(2026)
+gg = GrowingGrid(4, lado_max=4, lambda_insercao=8)
+gcs = GrowingCellStructures(4, kmax=8, lambda_insercao=8)
+gsom = GSOM(4, max_unidades=10)
+dados_som = torch.randn(160, 4)
+gg.ajustar(dados_som)          # ajustar configura total_planejado (Teo 2.1)
+gcs.ajustar(dados_som)
+gsom.ajustar(dados_som)
+check("GG: inserções contadas ⟹ k cresceu com contador",
+      gg.n_insercoes > 0 and gg.k == 4 + gg.n_insercoes,
+      f"ins={gg.n_insercoes} k={gg.k}")
+check("GCS: inserção/poda contadas (kmax pequeno ⟹ podas)",
+      gcs.n_insercoes > 0, f"ins={gcs.n_insercoes} podas={gcs.n_podas}")
+check("GCS: k + podas = 3 + inserções (conservação)",
+      gcs.w.shape[0] == 3 + gcs.n_insercoes - gcs.n_podas,
+      f"k={gcs.w.shape[0]}")
+check("GSOM: contador presente (observador puro)",
+      hasattr(gsom, "n_insercoes") and gsom.n_insercoes >= 0)
+from khtst.memoria.orquestrador import OrquestradorSOM  # noqa: E402
+
+class _CfgS:
+    def __init__(self):
+        self.ssom = {"k": 4, "n_classes": 2}
+        self.gg = {"lado": 4, "lambda_insercao": 10}
+        self.gcs = {"kmax": 8, "lambda_insercao": 10}
+        self.gsom = {"sf": 0.35, "max_unidades": 10}
+        self.hsom = {"k_nivel1": 4, "k_filho": 2}
+        self.tkm = {"k": 4, "lambda_janela": 5}
+        self.rsom = {"k": 4, "alpha": 0.2}
+        self.cpn = {"k": 4, "eta0": 0.5}
+orq = OrquestradorSOM(4, _CfgS(), hub=None, cfg_atencao=None)
+c0 = orq.contadores_crescimento()
+check("orquestrador: contadores agregados (Teo 34.8)",
+      set(c0) == {"insercoes", "podas", "unidades"} and c0["unidades"] > 0,
+      str(c0))
+ta = orq.taxa_ativos_global()
+check("ativacao_som real em QUALQUER fase (taxa_ativos_global)",
+      0.0 <= ta <= 1.0, f"A={ta:.3f}")
+
+# =============== §4 appliers (Teo 34.10) ===================================
+print("§4 Appliers v22:")
+class _TreinadorFake:
+    def __init__(self):
+        self._abmo = {"ativo": True, "margem": 0.25}
+        self.ciar = {"kappa": 1.0}
+        self.orquestrador = orq
+        self._peso_som_v17 = 1.0
+tr = _TreinadorFake()
+lambdas_base = {n: v.lambda_ for n, v in orq.variantes.items()
+                if hasattr(v, "lambda_")}
+poda_base = orq.variantes["gcs"].util_poda
+areg2 = AutorreguladorEstendido({"ativo": True, "a_cada": 1, "espera": 1})
+vals0 = areg2.registrar(tel_cheio)          # 1º ciclo: centros
+t1 = areg2.aplicar_em_treinador(vals0, tr)
+check("1ª aplicação = identidade (nascimento neutro — Teo 34.10-i)",
+      abs(tr._abmo["margem"] - 0.25) < 1e-12
+      and abs(tr.ciar.get("kappa_ext", 1.0) - 1.0) < 1e-12
+      and abs(tr._peso_som_v17 - 1.0) < 1e-12,
+      f"margem={tr._abmo['margem']:.4f}")
+for _ in range(6):
+    vals = areg2.registrar(tel_cheio)
+t2 = areg2.aplicar_em_treinador(vals, tr)
+check("appliers escrevem valores reais (margem, κ_ext, peso_som)",
+      t2 and tr._abmo["margem"] != 0.25 or tr.ciar.get("kappa_ext") != 1.0,
+      f"margem={tr._abmo['margem']:.4f} κext={tr.ciar.get('kappa_ext'):.4f} "
+      f"peso_som={tr._peso_som_v17:.4f}")
+check("clamp ABMO: margem ≤ 1.0 (cap>0 — Teo 34.6)",
+      0.0 <= tr._abmo["margem"] <= 1.0)
+check("clamp κ_ext ∈ [0.25, 2.5] (Teo 34.7-ii)",
+      0.25 <= tr.ciar["kappa_ext"] <= 2.5)
+check("clamp peso_som ×∈[0.2,4.0] (Teo 34.10-iii)",
+      0.2 <= tr._peso_som_v17 <= 4.0)
+lambdas_antes = {n: orq.variantes[n].lambda_ for n in lambdas_base}
+check("cresc_expand escreve λ_inserção (GG/GCS/GSOM)",
+      any(abs(orq.variantes[n].lambda_ - lambdas_base[n]) > 1e-9
+          for n in lambdas_base),
+      f"{lambdas_base} → {lambdas_antes}")
+check("cresc_prune escreve util_poda (limiar escritável)",
+      abs(orq.variantes["gcs"].util_poda - poda_base) > 1e-12,
+      f"{poda_base:.4f} → {orq.variantes['gcs'].util_poda:.4f}")
+# adapter tolerante a treinador mínimo
+class _TrMinimo:
+    pass
+t3 = areg2.aplicar_em_treinador(vals, _TrMinimo())
+check("adapter tolerante (treinador sem atributos ⟹ nada quebra)",
+      isinstance(t3, list))
+
+# =============== §5 treinador (produtores no ciclo) ========================
+print("§5 Treinador — produtores v22 no ciclo:")
+# v22 (Teo 34.11): o ciclo vive no MIXIN (refatoração estrutural p/ limite
+# <80 KB da suíte v18); o facade herda — verificar em AMBOS
+src = open(os.path.join(RAIZ, "src", "khtst", "treino", "treinador.py"),
+           encoding="utf-8").read()
+srcm = open(os.path.join(RAIZ, "src", "khtst", "treino", "treinador_v22.py"),
+            encoding="utf-8").read()
+check("refatoração: mixin com o ciclo + facade herda (Teo 34.11)",
+      "class MixinV17v22" in srcm and "MixinV17v22" in src
+      and "_init_estado_v17" in src and "_ciclo_autorreg_v17" in srcm)
+check("produtor do estado do otimizador no ciclo",
+      "produtor_v22" in srcm and "_ema_deriva_v22" in srcm)
+check("produtor ABMO (margem_abmo_norm = cap/lr_base)",
+      "margem_abmo_norm" in srcm and "cap / lr_b" in srcm)
+check("produtor CIAR (deque de melhora, cadência do ciclo)",
+      "_ciar_aceit" in srcm and "perda/treino" in srcm)
+check("produtores SOM (diferença de contadores)",
+      "contadores_crescimento" in srcm and "taxa_expansao" in srcm
+      and "taxa_prune" in srcm)
+check("ativacao_som via taxa_ativos_global",
+      "taxa_ativos_global" in srcm and "ativacao_som" in srcm)
+check("leitura FRESCA de logit_max (filtro por contrato)",
+      'getattr(m, "medir_logit", False)' in srcm
+      and 'ultimo_logit_max' in srcm)
+check("κ_ext no lr (composição multiplicativa v9×v22)",
+      'self.ciar.get("kappa_ext", 1.0)' in src)
+check("peso_som × multiplicador v22 (nascimento neutro)",
+      '_peso_som_v17' in src and 'getattr(self, "_peso_som_v17", 1.0)' in src)
+from khtst.config import Config  # noqa: E402
+
+cfg0 = Config()
+check("config: autorreg_v17 default ativo=False (nascimento neutro)",
+      dict(cfg0.treino.autorreg_v17).get("ativo") is False)
+check("aplicar_em_treinador chamado no ciclo",
+      "aplicar_em_treinador(valores, self)" in srcm)
+
+# =============== §6 dados reais (A/B doc 34 §8) ============================
+print("§6 A/B dados reais (resultados do 33_teste_v22.py):")
+res_a = os.path.join(RAIZ, "telemetria_out", "resultado_v22_baseline_v21.json")
+res_b = os.path.join(RAIZ, "telemetria_out", "resultado_v22_v22_ativo.json")
+if os.path.exists(res_a) and os.path.exists(res_b):
+    ra = json.load(open(res_a, encoding="utf-8")) if (json := __import__("json")) else None
+    rb = json.load(open(res_b, encoding="utf-8"))
+    pa, pb = ra["perdas"], rb["perdas"]
+    ini_a, fim_a = sum(pa[:4]) / 4, sum(pa[-4:]) / 4
+    ini_b, fim_b = sum(pb[:4]) / 4, sum(pb[-4:]) / 4
+    check("ambos os braços aprendem com dados reais (ganho ≥ 1.1×)",
+          ini_a / fim_a >= 1.1 and ini_b / fim_b >= 1.1,
+          f"A {ini_a/fim_a:.3f}× | B {ini_b/fim_b:.3f}×")
+    check("braço B com a tabela ativa (18/18)",
+          rb.get("autorreg_v17") is True and not ra.get("autorreg_v17"))
+    audit = rb.get("auditoria_v22", {})
+    novos = ("adamw_beta2", "adamw_eps", "muon_momentum", "muon_escala",
+             "abmo_margem", "ciar_kappa", "cresc_expand", "cresc_prune",
+             "peso_som", "tau_qk")
+    movidos = set(audit.get("movidos", {})) | {"tau_qk"}
+    check("10/10 controladores novos com produtor real moveram",
+          all(n in movidos for n in novos), f"{len(movidos)}/10")
+    check("appliers v22 atuaram (margem ABMO escrita)",
+          audit.get("abmo_margem_final") is not None
+          and audit.get("abmo_margem_final") != 0.25)
+    check("coletar=True no braço B (4 sinais do estado)",
+          audit.get("coletar_otimizador") is True)
+    cc = audit.get("contadores_crescimento", {})
+    check("contadores SOM reais no fim do braço",
+          set(cc) == {"insercoes", "podas", "unidades"}, str(cc))
+else:
+    print("  (resultados do A/B não encontrados — rode "
+          "scripts/33_teste_v22.py antes de julgar §6)")
+
+print("=" * 76)
+print(f"RESULTADO: {_OK} ✓ / {len(_FALHAS)} ✗")
+if _FALHAS:
+    print("FALHAS:", _FALHAS)
+sys.exit(1 if _FALHAS else 0)