Sync model repo (text/metadata)

.python-version

@@ -0,0 +1 @@
+3.12

README.md

@@ -1,218 +1,191 @@
 ---
-library_name: litert
 license: apache-2.0
+pipeline_tag: automatic-speech-recognition
+library_name: litert
 base_model: openai/whisper-medium
 base_model_relation: quantized
 tags:
-  - automatic-speech-recognition
-  - whisper
-  - int8
-  - quantized
-  - litert
-  - tflite
   - arm
-  - edge-ai
-  - speech-recognition
+  - arm-optimized
+  - premium-smartphone
+  - litert
+  - int8
+  - whisper
   - librispeech
-pipeline_tag: automatic-speech-recognition
-datasets:
-  - librispeech_asr
-metrics:
-  - wer
-  - cer
-model-index:
-  - name: whisper-medium-int8-litert
-    results:
-      - task:
-          type: automatic-speech-recognition
-          name: Automatic Speech Recognition
-        dataset:
-          type: librispeech_asr
-          name: LibriSpeech ASR (test-clean)
-          split: test
-          args:
-            evaluation_samples: 2620
-        metrics:
-          - type: wer
-            value: 2.86
-            name: WER (test-clean)
-          - type: cer
-            value: 1.26
-            name: CER (test-clean)
 ---
 
-# Whisper-medium INT8 (LiteRT)
+# Whisper Medium optimized for Arm-based Premium Smartphone
 
-This is an INT8-quantized version of [Whisper-medium](https://huggingface.co/openai/whisper-medium), OpenAI's automatic speech recognition model, optimized for edge deployment on ARM smartphones using [LiteRT](https://ai.google.dev/edge/litert) (TensorFlow Lite). The model was quantized with the AI Edge Quantizer's dynamic-range INT8 recipe (`dynamic_wi8_afp32` — TFLite hybrid quantization: INT8 per-channel weights offline plus INT8 activations quantized dynamically inside each kernel via a per-tensor scale computed on-the-fly, with INT8 × INT8 → INT32 arithmetic; activation tensors are stored as FP32 on graph edges between kernels — that is what `_afp32` in the recipe name refers to) and exported to a multi-signature `.tflite` file with an autoregressive decoder KV cache, for efficient on-device inference on ARM Cortex-A processors — validated here on a Vivo X300 Android smartphone.
+Whisper Medium automatic speech recognition optimized as an INT8 LiteRT model for Arm-based Premium Smartphone systems.
 
-## Key Highlights
+## Summary
 
-Compared to the FP32 baseline:
+This repository contains an Arm-optimized version of openai/whisper-medium for automatic speech recognition. The model is provided in LiteRT (.tflite), targeting Premium Smartphone systems.
 
-- **3.92x smaller** — 2914.22 MB to 743.15 MB
-- **19.7x faster end-to-end** — 174164.24 ms to 8853.61 ms (p50, on-device Android latency, Vivo X300)
-- **No accuracy regression, large speed gain** — WER improved slightly (2.88% to 2.86%) while the real-time factor (RTFx) improved from 0.07x (far slower than real-time) to 1.45x (real-time capable)
+This version is intended to demonstrate efficient inference on Arm-based platforms while preserving the original model's intended behavior. Arm has evaluated this model on LibriSpeech ASR and measured performance on a Vivo X300 (C1-Ultra, C1-Premium, C1-Pro, android Android 16 / OriginOS 6).
 
-## Model Details
+**Key results**
 
-### Model Description
+| Area | Result |
+|---|---|
+| Model format | LiteRT (.tflite) |
+| Target device class | Premium Smartphone |
+| Reference device | Vivo X300 (C1-Ultra, C1-Premium, C1-Pro, android Android 16 / OriginOS 6) |
+| Primary performance result | 8853.61 ms p50 end-to-end latency (RTFx 1.45x real-time) |
+| Accuracy result | WER 2.86%, CER 1.26% |
+| Size / memory result | 743.15 MB, 3.92x smaller than FP32 |
 
-Quantized version of Whisper-medium, an encoder-decoder Transformer for automatic speech recognition, re-authored into separate encoder/decoder signatures with explicit self- and cross-attention KV cache tensors, then quantized to dynamic-range INT8 (TFLite hybrid quantization: INT8 per-channel weights offline + INT8 activations quantized dynamically inside each kernel; INT8 × INT8 → INT32 arithmetic; activation tensors stored as FP32 on graph edges between kernels) and converted to LiteRT for fast autoregressive decoding on ARM smartphones.
+## Original model
 
-- **Developed by:** OpenAI (base model); INT8 quantization and LiteRT export produced by the maintainers of this optimization pipeline
-- **Model type:** Automatic Speech Recognition
-- **License:** Apache 2.0
-- **Base model:** [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) — quantized, not finetuned
+| Field | Value |
+|---|---|
+| Original model | openai/whisper-medium |
+| Original source | Hugging Face |
+| Original developer | OpenAI |
+| Original model card | [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) |
+| Original license | [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0) |
 
-### Model Sources
+## Model files
 
-- **Repository:** https://huggingface.co/openai/whisper-medium
+| File | Description |
+|---|---|
+| `whisper-medium-int8-litert.tflite` | Arm-optimized model for deployment |
+| `example.py` | Minimal inference example |
+| `pyproject.toml` | Pinned runtime dependencies for `example.py`, resolved with uv |
+| `uv.lock` | Locked dependency resolution for `pyproject.toml` |
+| `config.yaml` | Model I/O contract used by the example |
+| `benchmarks/` | FP32 baseline and Arm-optimized benchmark records |
 
-## How to Get Started with the Model
+## Performance
 
-### Install dependencies
+Performance was measured on the reference configuration below. Results are intended to make the optimization reproducible but do not guarantee identical performance on every Arm-based system.
 
-```bash
-pip install ai-edge-litert transformers numpy soundfile
-```
+**Reference configuration**
 
-### Download the model
+| Field | Value |
+|---|---|
+| Device / platform | Vivo X300 |
+| CPU / accelerator | C1-Ultra, C1-Premium, C1-Pro (aarch64, 8 cores), CPU |
+| OS | android - Android 16 / OriginOS 6 |
+| Runtime | LiteRT 0.9.0 |
+| Backend / delegate | XNNPACK + KleidiAI |
+| Batch size | 1 |
+| Precision | INT8 dynamic PTQ, per-channel symmetric weights, INT8 activations quantized dynamically per-tensor at runtime (stored FP32 on graph edges between kernels) |
+| Runs | 10 warmup + 50 measured |
 
-```python
-from huggingface_hub import hf_hub_download
+**Performance results**
 
-model_path = hf_hub_download(
-    repo_id="your-org/whisper-medium-int8-litert",
-    filename="optimized.tflite",
-)
-```
+| Metric | Original / baseline | Arm-optimized | Improvement |
+|---|---:|---:|---:|
+| p50 latency | 174164.25 ms | 8853.61 ms | 19.67x |
+| p90 latency | 174412.33 ms | 9117.33 ms | 19.13x |
+| RTFx (real-time factor) | 0.07x | 1.45x | 19.67x |
+| Model size | 2914.22 MB | 743.15 MB | 3.92x smaller |
+| Peak memory | 6178.08 MB | 3150.16 MB | 1.96x less |
 
-### Run inference
+## Accuracy
 
-```bash
-python example.py
-```
+Accuracy was evaluated using the same preprocessing, input resolution, and evaluation protocol described below. Where possible, the optimized model is compared against the original model under the same evaluation conditions.
 
-`example.py` loads `optimized.tflite` and the local tokenizer/feature-extractor files (relative to the script) and transcribes `sample_input.flac` (16 kHz mono audio, or any `soundfile`-readable format — it is resampled automatically), writing the result to `transcription.json`.
+**Evaluation setup**
 
-Or use the core inference pattern directly:
+| Field | Value |
+|---|---|
+| Dataset | LibriSpeech ASR |
+| Split | test-clean |
+| Number of samples | 2620 |
+| Metric(s) | WER (Word Error Rate), CER (Character Error Rate) |
+| Evaluation runtime | LiteRT |
 
-```python
-from ai_edge_litert.interpreter import Interpreter
+**Accuracy results**
 
-# Load model once and reuse both signature runners across every call
-interpreter = Interpreter(model_path="optimized.tflite")
-interpreter.allocate_tensors()
-encode_runner = interpreter.get_signature_runner("encode")
-decode_runner = interpreter.get_signature_runner("decode")
+| Metric | Original / baseline | Arm-optimized | Change |
+|---|---:|---:|---:|
+| WER | 2.86% | 2.86% | 0.00 pp |
+| CER | 1.26% | 1.26% | 0.00 pp |
 
-# Encode: log-mel features [1, 80, 3000] -> cross-attention KV cache (once per audio clip)
-encode_outputs = encode_runner(args_0=input_features)  # input_features: float32 [1, 80, 3000]
+Accuracy was measured using the evaluation setup described above. Users should re-evaluate the model on their own data before production use.
 
-# Decode: one step at a time, feeding back the updated self-attention KV cache.
-# Each call takes: decoder_token [1,1] int64, input_pos [1] int64,
-# self_attn_mask [1,1,1,448] float32, self-attention KV cache, cross-attention KV cache
-# and returns: logits [1,1,51865] + the updated self-attention KV cache.
-outputs = decode_runner(**decode_inputs)
+## Arm optimization approach
 
-# See example.py for the full greedy-decoding loop (prompt handling, token
-# suppression, EOS stopping) and tensor-role classification by shape/dtype.
-```
+Arm optimized this model for efficient inference on Arm-based platforms using a hardware-aware conversion and validation flow.
 
-## Evaluation
+For this release, Arm used:
 
-### Testing Data, Factors & Metrics
+| Optimization area | Applied? | Notes |
+|---|---|---|
+| Model conversion | Yes | Re-authored the encoder/decoder as separate LiteRT multi-signature (encode/decode) modules and converted to .tflite |
+| Quantization | Yes | AI Edge Quantizer dynamic_wi8_afp32 recipe - INT8 per-channel symmetric weights quantized offline plus INT8 activations quantized dynamically per-tensor at runtime; activations stored FP32 on graph edges; INT8 x INT8 -> INT32 kernel arithmetic; no calibration dataset required |
+| Runtime/backend selection | Yes | XNNPACK + KleidiAI kernels selected for the LiteRT CPU delegate (4 threads) |
+| Graph/runtime compatibility updates | Yes | Performed as part of the LiteRT export pipeline - the encoder/decoder were re-authored with explicit self-attention and cross-attention KV cache tensors and exported as a multi-signature (encode/decode) graph for autoregressive decoding |
+| Accuracy validation | Yes | Compared against the original model or published baseline |
+| Performance validation | Yes | Measured on the reference Arm platform |
 
-#### Testing Data
+The goal of this process is to improve deployment characteristics such as latency, memory use, model size, and runtime compatibility while preserving the model's intended behavior. Detailed conversion scripts, calibration configuration, or backend-specific implementation details may be provided separately where appropriate.
 
-Evaluated on 2,620 samples from LibriSpeech ASR (`test-clean` split).
+## Using this model
 
-#### Metrics
+### Install dependencies
 
-- **WER (Word Error Rate)** — the percentage of words that must be substituted, deleted, or inserted to turn the model's transcription into the reference transcript; lower is better.
-- **CER (Character Error Rate)** — the same edit-distance measure computed at the character level, useful for catching small spelling-level errors that WER can overstate; lower is better.
+Dependencies are declared in `pyproject.toml`, which ships with this repository. Resolve and install them into a local virtual environment with uv:
 
-Both metrics are computed after Whisper-style text normalization on both the reference and hypothesis transcripts.
+```bash
+uv python install
+uv sync --frozen
+```
 
-### Results
+### Run the example
 
-#### Accuracy
+```bash
+uv run example.py
+```
 
-| Metric | FP32 (Original) | INT8 (Optimized) | Delta |
-|:---|:---:|:---:|:---:|
-| WER | 2.88% | 2.86% | -0.03 pp |
-| CER | 1.27% | 1.26% | -0.01 pp |
+Note: The Python/uv example runs on AWS Graviton (Ubuntu arm64) to confirm runtime compatibility only, and is intended as a guideline for building an equivalent run script on smartphone devices.
 
-#### Efficiency
+### Expected input
 
-These are real on-device measurements captured over ADB on a Vivo X300 Android smartphone (aarch64, LiteRT + XNNPACK/KleidiAI, 4 threads) — not x86 dev-box numbers.
+| Property | Value |
+|---|---|
+| Input shape | [1, 80, 3000] (log-mel spectrogram features) |
+| Input type | float32 |
+| Input range | N/A (log-mel spectrogram, not a bounded range); raw audio input is 16000 Hz mono PCM in flac, wav, mp3, or ogg format |
+| Preprocessing | Load audio (soundfile.read), downmix to mono, resample to 16000 Hz via linear interpolation if needed, compute an 80-bin log-mel spectrogram via the WhisperProcessor feature extractor (30s window, padded/truncated) to produce the [1, 80, 3000] float32 input tensor |
 
-| Metric | FP32 (Original) | INT8 (Optimized) | Improvement |
-|:---|:---:|:---:|:---:|
-| Model Size (.tflite) | 2914.22 MB | 743.15 MB | **3.92x smaller** |
-| Android Latency (p50, end-to-end) | 174164.24 ms | 8853.61 ms | **19.7x faster** |
-| Android RTFx (real-time factor) | 0.07x | 1.45x | **from far-below-real-time to 1.45x real-time** |
-| Android Peak Memory (USS) | 6178.08 MB | 3150.16 MB | **1.96x less (49.0% less)** |
+### Expected output
 
-## Technical Specifications
+| Property | Value |
+|---|---|
+| Output shape | N/A (variable-length autoregressive token sequence; per-step logits shape [1, 1, 51865]) |
+| Output type | text string (decoded from int64 token ids) |
+| Postprocessing | Greedy argmax decoding per step using self-attention and cross-attention KV cache, then decode token ids to text (skipping special tokens) and strip surrounding whitespace |
 
-### Objective
+## Intended use
 
-English-language speech-to-text transcription via autoregressive greedy decoding.
+This model is intended for developers evaluating automatic speech recognition workloads on Arm-based platforms. It is suitable as a reference implementation for benchmarking, prototyping, and integration exploration.
 
-### Quantization
+## Limitations
 
-- **Method**: AI Edge Quantizer (AEQ), `dynamic_wi8_afp32` recipe
-- **Precision**: INT8 weights (symmetric, per-channel, offline) + INT8 activations (per-tensor, quantized dynamically inside each kernel from the incoming FP32 tensor). Kernel arithmetic is INT8 × INT8 → INT32 accumulation on XNNPACK / KleidiAI INT8 GEMM kernels; activation tensors are stored as FP32 on graph edges between kernels (that is the meaning of `_afp32` in the recipe name — storage format, not arithmetic).
-- **Mode**: Dynamic-range (TFLite hybrid) — no calibration dataset is needed since activation scales are computed on-the-fly at runtime rather than derived from a representative dataset offline
-- **Skipped layers**: None — no layers excluded from quantization; the recipe applies uniformly across the multi-signature encode/decode graph
-- **Backend**: LiteRT (TFLite) with XNNPACK + KleidiAI kernels on ARM
+- Performance depends on the target device, runtime version, backend/delegate support, memory configuration, and system load.
+- Accuracy was evaluated on LibriSpeech ASR test-clean and may not generalize to all domains.
+- This release preserves the original model's intended task and behavior, but users should validate it for their own application, data, and deployment environment.
+- This repository is not a replacement for the original model documentation.
 
-### Export Pipeline
+## Additional notes
 
-1. Load the pretrained FP32 Hugging Face Whisper model
-2. Re-author the encoder and decoder as separate exportable modules with explicit self-attention and cross-attention KV cache inputs/outputs
-3. Load the original HF weights into the re-authored modules
-4. Convert to a multi-signature (`encode` / `decode`) FP32 LiteRT model
-5. Quantize with the AI Edge Quantizer's `dynamic_wi8_afp32` recipe — dynamic-range INT8 (TFLite hybrid): INT8 per-channel weights offline plus INT8 activations quantized dynamically inside each kernel (per-tensor scale computed on-the-fly, INT8 × INT8 → INT32 arithmetic, activations stored as FP32 on graph edges between kernels); no calibration data required
-6. Export the final quantized `.tflite` file
+- Decoding is greedy only (no beam search), capped at 128 generated tokens per utterance, with language forced to English and task forced to transcription.
+- Latency and memory figures are specific to the Vivo X300 (aarch64, LiteRT + XNNPACK/KleidiAI, 4 threads); numbers on other Arm chipsets, thread counts, or Android versions may differ.
+- WER/CER are computed after Whisper-style text normalization, which affects the numeric values (e.g., digit/number formatting); raw, unnormalized transcripts will show different error rates.
+- Evaluated only on the LibriSpeech test-clean split (2,620 samples); accuracy on test-other or noisier splits has not been measured.
 
-### Preprocessing
+## About this version
 
-| Property | Value |
-|---|---|
-| Input shape | `[1, 80, 3000]` (log-mel features) |
-| Data type | float32 |
-| Sample rate | 16000 Hz, mono |
-| Feature extraction | 80-bin log-mel spectrogram, 30s window (padded/truncated) |
+This repository contains a converted version of the openai/whisper-medium model, originally developed by OpenAI.
+Arm has converted the model to enable efficient execution on Arm-based platforms. No changes have been made to the model's intended behavior.
 
-**Steps**:
-1. Load audio (any `soundfile`-readable format) and downmix to mono by averaging channels if stereo
-2. Resample to 16000 Hz via linear interpolation if the source sample rate differs
-3. Compute the log-mel spectrogram via the Whisper feature extractor (`processor.feature_extractor(waveform, sampling_rate=16000).input_features`)
+## Original model and documentation
 
-**Normalization**: Handled internally by the Whisper feature extractor (log-mel scaling) — no separate normalization step is required.
+For full details of the original model, please refer to the original [model card](https://huggingface.co/openai/whisper-medium).
 
-### Postprocessing
+## Purpose of this release
 
-| Property | Value |
-|---|---|
-| Output format | Greedy-decoded token sequence, decoded to a text string |
-| Decoding | Greedy (argmax over logits), autoregressive, accelerated with self-attention + cross-attention KV cache |
-
-**Steps**:
-1. Seed the decoder with the forced prompt: `[decoder_start_token_id, "<|en|>", "<|transcribe|>", "<|notimestamps|>"]` (language pinned to English, task pinned to transcription)
-2. At each step, run the `decode` signature on the previous token, position index, and additive causal self-attention mask, reusing the encoder's cross-attention KV cache and the updated self-attention KV cache from the previous step
-3. Apply the model's configured suppressed-token list every step, and the begin-suppress-token list on the first generated step
-4. Take `argmax` over the resulting logits to select the next token
-5. Stop when the EOS token is generated or after 128 new tokens, whichever comes first
-6. Decode the final token sequence with `tokenizer.decode(token_ids, skip_special_tokens=True)` and strip surrounding whitespace
-
-## Known Limitations
-
-- Evaluated on the LibriSpeech `test-clean` split only (2,620 samples) — accuracy on `test-other` or other, noisier splits has not been measured
-- Fixed maximum of 128 generated tokens per utterance
-- Greedy decoding only — no beam search, so transcriptions may differ from beam-search results reported elsewhere for Whisper-medium
-- Evaluated only for English transcription (language forced to `"en"`, task forced to `"transcribe"`); other languages and the translation task are untested
-- Latency and memory numbers are specific to the Vivo X300 (aarch64, LiteRT + XNNPACK/KleidiAI, 4 threads) — absolute numbers on other ARM chipsets, thread counts, or Android versions may differ
-- WER/CER are computed after Whisper-style text normalization, which affects numeric values (e.g., digit/number formatting) — raw, unnormalized transcripts will show different error rates
+This version is provided by Arm as a reference implementation to demonstrate performance on Arm-based systems. It is not a production-ready or supported solution. Users should evaluate the model independently for their use-case. Arm provides no warranties or ongoing support for this version.

example.py

@@ -1,10 +1,8 @@
 """Minimal inference example for Whisper Medium (LiteRT / TFLite, INT8).
 
-Loads the multi-signature ``optimized.tflite`` model (encode + decode
+Loads the multi-signature ``whisper-medium-int8-litert.tflite`` model (encode + decode
 signatures with self-attention and cross-attention KV caches) and
 transcribes a single audio file with greedy decoding.
-
-Dependencies: ai-edge-litert, transformers, numpy, soundfile
 """
 
 import json
@@ -17,7 +15,7 @@ from transformers import WhisperProcessor
 
 # ── Configuration ──────────────────────────────────────────────────────────
 SCRIPT_DIR = Path(__file__).parent
-MODEL_PATH = str(SCRIPT_DIR / "optimized.tflite")
+MODEL_PATH = str(SCRIPT_DIR / "whisper-medium-int8-litert.tflite")
 AUDIO_PATH = str(SCRIPT_DIR / "sample_input.flac")
 PROCESSOR_DIR = str(SCRIPT_DIR)  # tokenizer.json / processor_config.json live here
 

metadata.yaml

@@ -11,6 +11,8 @@ description: >-
 id: Arm/whisper-medium-int8-litert
 filename: whisper-medium-int8-litert.tflite
 base_model_id: openai/whisper-medium
+vendor: OpenAI
+base_model_url: https://huggingface.co/openai/whisper-medium
 profile: Arm-Optimized
 weight_dtype: int8
 quantization:

pyproject.toml

@@ -0,0 +1,28 @@
+[project]
+name = "whisper-medium-int8-litert-runtime"
+version = "0.1.0"
+description = "Runtime dependencies for example.py (Whisper Medium INT8, LiteRT)"
+requires-python = ">=3.12,<3.13"
+dependencies = [
+    "ai-edge-litert==2.2.0",
+    "transformers==5.16.1",
+    "numpy==2.5.2",
+    "soundfile==0.14.0",
+]
+
+[tool.uv]
+package = false
+
+[tool.ai-portal.deployment]
+schema-version = "1"
+runtime = "litert"
+required-capabilities = ["XNNPACK"]
+
+[tool.ai-portal.deployment.ubuntu]
+packages = []
+
+[tool.ai-portal.deployment.raspbian]
+packages = []
+
+[tool.ai-portal.deployment.files]
+expected = ["transcription.json"]

uv.lock

@@ -0,0 +1,521 @@
+version = 1
+revision = 3
+requires-python = "==3.12.*"
+
+[[package]]
+name = "ai-edge-litert"
+version = "2.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "backports-strenum" },
+    { name = "flatbuffers" },
+    { name = "ml-dtypes" },
+    { name = "numpy" },
+    { name = "protobuf" },
+    { name = "tqdm" },
+    { name = "typing-extensions" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1f/09/778399be516866419e3de6257e4f7ab6b8563b2fc204b6353f2361a8b025/ai_edge_litert-2.2.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:90fe45c8a0557e15b873f685e33ecaa2302782a8cb09a1ca754d536d5fa30945", size = 10835492, upload-time = "2026-08-12T19:03:33.631Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/ef/be6341bb3cc935e47a521ea1a173a022d1680d309545579a12dbc739df40/ai_edge_litert-2.2.0-cp312-cp312-manylinux_2_27_aarch64.whl", hash = "sha256:6d3fe2047461fbdd251425960be7a3674dbbf707bd019a01ffe6eb43cc653434", size = 14052423, upload-time = "2026-08-12T18:47:18.261Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/bc/c4788c401cbe1bb082cb09220b1e35ae8a8f89451b494f4e151a8c93bf4f/ai_edge_litert-2.2.0-cp312-cp312-manylinux_2_27_x86_64.whl", hash = "sha256:4e151f07229b2f714f9b34ea42a9cacffc98953b1f6e832adee4479f6b81f50a", size = 21258447, upload-time = "2026-08-13T02:13:57.891Z" },
+    { url = "https://files.pythonhosted.org/packages/32/81/818bc82bad14f176c2ac6a42e28750a87aa7b3732ebcc2c94a617de2f26b/ai_edge_litert-2.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:86815ff3378ac9fa4bb5548bcede1be7d050bd59a8ebaf1c056b7aef69fedcee", size = 17914562, upload-time = "2026-08-12T21:19:44.442Z" },
+]
+
+[[package]]
+name = "annotated-doc"
+version = "0.0.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5a/8e/38aa427ed5402449e226975b649c5dc73ccadfefeb95e6aecb8f8ea4b6b6/annotated_doc-0.0.5.tar.gz", hash = "sha256:c7e58ce09192557605d8bbd92836d7e1d520ac9580096042c0bfd197efacf1bb", size = 10758, upload-time = "2026-07-28T13:50:58.129Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3e/30/e900b21425a860e195f32e37657aa1f7c7f2b1bfb26f03ca209b90933c06/annotated_doc-0.0.5-py3-none-any.whl", hash = "sha256:117bac03a25ede5df5440e855b32d556049ca169ead221505badf432fed4b101", size = 5302, upload-time = "2026-07-28T13:50:57.239Z" },
+]
+
+[[package]]
+name = "anyio"
+version = "4.14.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "idna" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/61/cc/a381afa6efea9f496eff839d4a6a1aed3bfafc7b3ab4b0d1b243a12573dd/anyio-4.14.2.tar.gz", hash = "sha256:cfa139f3ed1a23ee8f88a145ddb5ac7605b8bbfd8592baacd7ce3d8bb4313c7f", size = 260176, upload-time = "2026-07-12T20:29:07.082Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813, upload-time = "2026-07-12T20:29:05.763Z" },
+]
+
+[[package]]
+name = "backports-strenum"
+version = "1.3.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/35/c7/2ed54c32fed313591ffb21edbd48db71e68827d43a61938e5a0bc2b6ec91/backports_strenum-1.3.1.tar.gz", hash = "sha256:77c52407342898497714f0596e86188bb7084f89063226f4ba66863482f42414", size = 7257, upload-time = "2023-12-09T14:36:40.937Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d6/50/56cf20e2ee5127b603b81d5a69580a1a325083e2b921aa8f067da83927c0/backports_strenum-1.3.1-py3-none-any.whl", hash = "sha256:cdcfe36dc897e2615dc793b7d3097f54d359918fc448754a517e6f23044ccf83", size = 8304, upload-time = "2023-12-09T14:36:39.905Z" },
+]
+
+[[package]]
+name = "certifi"
+version = "2026.7.22"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a3/c2/24167ea9858356b47a87a50d39908bfdb72ceeefe0041586e704e5376b3a/certifi-2026.7.22.tar.gz", hash = "sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55", size = 138112, upload-time = "2026-07-22T03:35:12.644Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0b/a7/71ac2cff56fec219ed242bb11b8efb69fcc4bec75db06fb7bfe35de520e6/certifi-2026.7.22-py3-none-any.whl", hash = "sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775", size = 136983, upload-time = "2026-07-22T03:35:11.276Z" },
+]
+
+[[package]]
+name = "cffi"
+version = "2.1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser", marker = "implementation_name != 'PyPy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9e/ef/008a1939e372c06329a3fce4279c02f328488f3526744906eeec3da7ad5f/cffi-2.1.1.tar.gz", hash = "sha256:dd31f52ea1086513bb9df30f8fcee9b8918323ae067a3d5b78bc826a000712be", size = 530807, upload-time = "2026-08-03T21:21:18.939Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/10/69/43965eccfdead3b9220015fd1320e117be8c6ed01a62ffab76eeb752f5d5/cffi-2.1.1-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:c8c69575568085ba0b1b10c0249d779a214aea6f6522e949a0fc9fb0fcb449d0", size = 184821, upload-time = "2026-08-03T21:19:44.887Z" },
+    { url = "https://files.pythonhosted.org/packages/54/7d/16e5a096677b5e313ca80cd5e5170efa3ea44624a82bb111925522da64b1/cffi-2.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f81b3b8f3d4e343550fa4baa0e479bba9f2d29ce9c2e9b51d1ce1718d7442fcf", size = 184719, upload-time = "2026-08-03T21:19:46.129Z" },
+    { url = "https://files.pythonhosted.org/packages/56/e6/8941622732edec876dd17d0453dce07317ae96db34f2ec1436c9d3785986/cffi-2.1.1-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:811bd1e21d32de12efca32393a0ab3f5133b54fce9bd44b8bd77ab07da14bf6a", size = 214799, upload-time = "2026-08-03T21:19:47.218Z" },
+    { url = "https://files.pythonhosted.org/packages/44/de/f98430906df1545ffde0d543dd124a7a439bc2cd32b36b9c53f805df7333/cffi-2.1.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:68e62fe11f30d5ca8289242866f0a5291402d8529ca2178ab8afc5c9694ae890", size = 222389, upload-time = "2026-08-03T21:19:48.331Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/5b/717f1526b9957b34456313c31645c5b82b8fb5c3fe9e4752999be7128bfc/cffi-2.1.1-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:4a7c934f7360e8cd64fe9efadcbd10c7c6364f531e432b9a4bf5ccbc9e0e8b50", size = 210249, upload-time = "2026-08-03T21:19:49.543Z" },
+    { url = "https://files.pythonhosted.org/packages/64/b3/f8aa4f3e34986c7e4ec45072d1b1b9dd295b6b18007b45518d79726dd725/cffi-2.1.1-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:3143d81e29e1e20a9ce10901ec369012947876596f75a222235965f2b7ae832e", size = 208775, upload-time = "2026-08-03T21:19:50.918Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/db/dceb9dd5b231e1da801793f8acc9f3c52a7e1afe40bb1aae37e02b0faad5/cffi-2.1.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c1453022f490d2459a11819d83ad1d586e9ff65a12ac3e705ffebd46d3685dcf", size = 221822, upload-time = "2026-08-03T21:19:52.054Z" },
+    { url = "https://files.pythonhosted.org/packages/a0/d2/6cd24ae3be000a634109c247d1475d62e5616d0dc78c82770942ec384248/cffi-2.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:208f941bb9d18e768138677f0a6d2ce01f590df56043dda1df1535ac57c88517", size = 225232, upload-time = "2026-08-03T21:19:53.109Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/52/3fa190537004dd7f0ab860a6dc7c0175b8667f68d1e618a46f5498d30250/cffi-2.1.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:210019b6c7cf07f081b4c54635c8cf744377001350e29cc0f81c4377b4797735", size = 223597, upload-time = "2026-08-03T21:19:54.515Z" },
+    { url = "https://files.pythonhosted.org/packages/80/fb/0bb75b7039588c074b37ae99f40d9bfddf990ecb2fbc346ebccd2e56b9be/cffi-2.1.1-cp312-cp312-win32.whl", hash = "sha256:046bfc24911b37851ee1b51aab8bffe713d89c68c6a057b09484ce9fd5f69b4e", size = 175292, upload-time = "2026-08-03T21:19:55.566Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/79/615cc094e2fb508cade7de88d3b4f6c4ec2bab695c97bce9153dc65aadf5/cffi-2.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:f53e442b08449d42821fa4a4fba000095af9f62742a500f978a9f557ec44339a", size = 185919, upload-time = "2026-08-03T21:19:56.89Z" },
+    { url = "https://files.pythonhosted.org/packages/70/c6/d0ea84713fe46b243a436a18fcd47d639732747e21635c8a27191b06dc30/cffi-2.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:7bde5e4cc5c10140859842b9d383af292b22639a4dffb725314baf45968cef80", size = 180093, upload-time = "2026-08-03T21:19:58.155Z" },
+]
+
+[[package]]
+name = "click"
+version = "8.5.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/0e/7fa0ef50764b67090eca4114772a2abf8b6148198475e54c660b97caeee6/click-8.5.0.tar.gz", hash = "sha256:ba0d2089de75ea0310e2dde03160e6ca10009947fb95a182f9b54021bb272e34", size = 382235, upload-time = "2026-08-26T13:33:14.56Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/58/50/6c0d534c5f134586a8e1ba4e330569e32f057e33372ae556463212fb4cd3/click-8.5.0-py3-none-any.whl", hash = "sha256:255bc9599cf7748b4b1a446ccc735421bd08a2ae529a8b88597d3de5664ee360", size = 125251, upload-time = "2026-08-26T13:33:12.928Z" },
+]
+
+[[package]]
+name = "colorama"
+version = "0.4.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
+]
+
+[[package]]
+name = "filelock"
+version = "3.32.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6d/30/03b03951873a1a0ffc7e8ca0e10c15597b59e8d0e39260704cd2ea087bc4/filelock-3.32.4.tar.gz", hash = "sha256:2bde2e4cf732e0153406d8a7bc80620ecf5e621fe0d25e41143c4e3b4733ff30", size = 222126, upload-time = "2026-08-23T17:37:55.363Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/01/a4/9b63d595d748e3aff8812b65eacc1a2c4bd90b7c2012e08e72373b4835eb/filelock-3.32.4-py3-none-any.whl", hash = "sha256:22e58ca3b1ae3b98993b762d7338367ae64fe50252bf78d59da3bfebcdf1cedd", size = 99864, upload-time = "2026-08-23T17:37:53.913Z" },
+]
+
+[[package]]
+name = "flatbuffers"
+version = "25.12.19"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e8/2d/d2a548598be01649e2d46231d151a6c56d10b964d94043a335ae56ea2d92/flatbuffers-25.12.19-py2.py3-none-any.whl", hash = "sha256:7634f50c427838bb021c2d66a3d1168e9d199b0607e6329399f04846d42e20b4", size = 26661, upload-time = "2025-12-19T23:16:13.622Z" },
+]
+
+[[package]]
+name = "fsspec"
+version = "2026.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/00/78/f34251dadb8f3921264a1d9b8946f5e542014ee2614b285261b4e40e6775/fsspec-2026.7.0.tar.gz", hash = "sha256:c803c40f4cf860b49dea58ee3e1c33cb9c790520e233537e1340049f89b82a88", size = 317040, upload-time = "2026-07-28T16:34:51.052Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fd/3c/6a2bf344106328fd04963664a60b9bb6496fc25df8e962fcdc1367285fb9/fsspec-2026.7.0-py3-none-any.whl", hash = "sha256:b57ddbafedfaef7018c1ecab32aa200a9d7ca26b77965f64e48b70061249d279", size = 206583, upload-time = "2026-07-28T16:34:49.538Z" },
+]
+
+[[package]]
+name = "h11"
+version = "0.16.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
+]
+
+[[package]]
+name = "hf-xet"
+version = "1.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1b/ab/522a2ab67f27971a9d48ca666d4fca85ef7d5282d142e31fd087e27b1bbe/hf_xet-1.6.0.tar.gz", hash = "sha256:2e58454a340b3556dfa4972d5451aff4fba8dd42a236600ba1a1d2b1514f0fef", size = 920527, upload-time = "2026-08-03T22:33:13.243Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a2/50/7afa2c9c787405864fc47a0d1bbc02c62e9101947ed43c1f43899fc7d91d/hf_xet-1.6.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:633dc0cd71d32da58ab8c03ad38e2fac452c15c2b0a2866ebf6ededfe0a5061d", size = 4071729, upload-time = "2026-08-03T22:33:00.721Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/69/55b8dcf636142ae660fec1869fcac14c4da2e8412e14d6eee1523be77e9f/hf_xet-1.6.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:f0906082d9932ae0c0057fa194041c22b4e2cdb46b2592ef3b91f020d62a081a", size = 3876287, upload-time = "2026-08-03T22:33:02.251Z" },
+    { url = "https://files.pythonhosted.org/packages/67/4e/a28359bf1c1ecf11eba22123168c138698f7cb576ac678f5a2e16cd5da08/hf_xet-1.6.0-cp38-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d62671bb130879cef0ee4c9ebe47a14af6c66ec53e6d84dc15936e5ffdfac82f", size = 4464663, upload-time = "2026-08-03T22:33:03.802Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/69/1f0cbc2fb22ae6082d094f743d1b8945a3f36f6089cb95f42b7ee348cda7/hf_xet-1.6.0-cp38-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:0e6e21fa3cdfcdcd76748564bf593870a5e013f47d97cf10aed63aa222cff5b7", size = 4262538, upload-time = "2026-08-03T22:33:05.287Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/3a/4f4f2301ade26e404462d3336fa11f7958d914cabbabdd6e03c3c5d5658c/hf_xet-1.6.0-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:4fc74352a17015bd0ee90038bc9efe38db894cde45f268b6712b04fce8cd0acb", size = 4460520, upload-time = "2026-08-03T22:33:06.81Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/5f/311725e2a905534dfee2dcb5b08414f249147f1f12252bfc2bd24caa075c/hf_xet-1.6.0-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:8fb4f71cba6129110c3374a33f919001ff130488fc23553698e34cc1c2a1198c", size = 4675937, upload-time = "2026-08-03T22:33:08.616Z" },
+    { url = "https://files.pythonhosted.org/packages/98/b7/8c59a66d15205024662f1d66968136f13893f96df1ddc5087e2e281fc95f/hf_xet-1.6.0-cp38-abi3-win_amd64.whl", hash = "sha256:fb4fadde1b2b70bf4c0c14a6dccbe7194b1c28947fefd5bbe3fed9d940676c3b", size = 4033128, upload-time = "2026-08-03T22:33:10.171Z" },
+    { url = "https://files.pythonhosted.org/packages/73/63/ca511b6f802f28cf3489b280fe77475bcca8de85e81a6299d7916b5b5555/hf_xet-1.6.0-cp38-abi3-win_arm64.whl", hash = "sha256:3dc3e35441ba395006af5aaacc40ef2e603c51ef46c3530b9156185f00935ea3", size = 3859359, upload-time = "2026-08-03T22:33:11.725Z" },
+]
+
+[[package]]
+name = "httpcore"
+version = "1.0.9"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "h11" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" },
+]
+
+[[package]]
+name = "httpx"
+version = "0.28.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "certifi" },
+    { name = "httpcore" },
+    { name = "idna" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" },
+]
+
+[[package]]
+name = "huggingface-hub"
+version = "1.29.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "filelock" },
+    { name = "fsspec" },
+    { name = "hf-xet", marker = "platform_machine == 'AMD64' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'" },
+    { name = "httpx" },
+    { name = "packaging" },
+    { name = "pyyaml" },
+    { name = "tqdm" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/64/35/42316e8f6908b6d21bc8df017cc6efba94fb5edbf99b64e28dd142325e20/huggingface_hub-1.29.0.tar.gz", hash = "sha256:6ebb385a581435325cf6d5c5b233d5d4bc91175834d99fd65dae14379b36e9ad", size = 963121, upload-time = "2026-08-27T12:18:37.432Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4e/a5/47c2ea9b228ccbcba8467e9a64823146e8ebbad29855e591d8f5eedcc9c7/huggingface_hub-1.29.0-py3-none-any.whl", hash = "sha256:b00f7782afc14db4bc6572763810a635bdfbab8623d957bfb553bd18e03852cd", size = 795768, upload-time = "2026-08-27T12:18:35.431Z" },
+]
+
+[[package]]
+name = "idna"
+version = "3.19"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5f/f7/abb373e5757eaec4b922b92f97ec8d6d7e057cf06778247604fbc4e7c3f3/idna-3.19.tar.gz", hash = "sha256:5e0811a4383b21dc5838069f801c4fb62113b7447663d2530d2bd6e77b49bf15", size = 215237, upload-time = "2026-08-18T05:14:24.27Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/57/b0/0e52c878c53f245edd3a11020f20979b3f490f245af532c7cae3027754b5/idna-3.19-py3-none-any.whl", hash = "sha256:815e7be7a7806d54abb586dc943addc79e8b2ee16915059658cbeff4b1b43bf4", size = 68550, upload-time = "2026-08-18T05:14:22.343Z" },
+]
+
+[[package]]
+name = "markdown-it-py"
+version = "4.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mdurl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/06/ff/7841249c247aa650a76b9ee4bbaeae59370dc8bfd2f6c01f3630c35eb134/markdown_it_py-4.2.0.tar.gz", hash = "sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49", size = 82454, upload-time = "2026-05-07T12:08:28.36Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b3/81/4da04ced5a082363ecfa159c010d200ecbd959ae410c10c0264a38cac0f5/markdown_it_py-4.2.0-py3-none-any.whl", hash = "sha256:9f7ebbcd14fe59494226453aed97c1070d83f8d24b6fc3a3bcf9a38092641c4a", size = 91687, upload-time = "2026-05-07T12:08:27.182Z" },
+]
+
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d6/54/cfe61301667036ec958cb99bd3efefba235e65cdeb9c84d24a8293ba1d90/mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba", size = 8729, upload-time = "2022-08-14T12:40:10.846Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b3/38/89ba8ad64ae25be8de66a6d463314cf1eb366222074cfda9ee839c56a4b4/mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8", size = 9979, upload-time = "2022-08-14T12:40:09.779Z" },
+]
+
+[[package]]
+name = "ml-dtypes"
+version = "0.6.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/12/72/307d7c4bd0600601c7133fba5cb78af7db968152951c1cd473abb1cda782/ml_dtypes-0.6.0.tar.gz", hash = "sha256:5e60251d32ced5598972e4d5e06a2f044341f9291402551a3f6f0ec44f9299b0", size = 3032327, upload-time = "2026-08-13T14:14:40.215Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/84/6a/441eb053b078954f7fea284dfb288701884d0a1404d39babb858e1649023/ml_dtypes-0.6.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:5359c588cc62de6f78d7430f06b65853d884955494d86d6ad90b6dd64a3f3a08", size = 565447, upload-time = "2026-08-13T14:14:01.737Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/cf/87e8a6c57eed63a91782a0d229856ddf73e138ce004dd71e2799a9dcdb33/ml_dtypes-0.6.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:37da32aa97749251025666d62372775019594577b9c9e9cfda83bed48d778fdb", size = 360227, upload-time = "2026-08-13T14:14:02.938Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/f9/7d76c1eae866f5d4636401b31b6d6dd90e4b4ced1fa7cfdfcca9c60e4bd3/ml_dtypes-0.6.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3b4a480aa8fd54a1805b8ac10f3f91763926a74f73c0c364c10f9231854f4170", size = 409890, upload-time = "2026-08-13T14:14:04.248Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/db/9c61ec2760b5cbfb1c6558d5c991a6d8fd3271053c32db20506a9a90272b/ml_dtypes-0.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:2a3e9d53925597fbffafd2a37048dadeddd0bdaba58058f6ae0869ed709a184d", size = 439333, upload-time = "2026-08-13T14:14:05.501Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/57/780ca3e5ab135b9fbdd8e5441abf5f801b30398371b691291e05ab9834c0/ml_dtypes-0.6.0-cp312-cp312-win_arm64.whl", hash = "sha256:6eaed129a4afe90694b8685e2f9b6294849f5eda4af9a15be83a4326eeebd775", size = 552268, upload-time = "2026-08-13T14:14:06.866Z" },
+]
+
+[[package]]
+name = "numpy"
+version = "2.5.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/80/db0b4559e57ec36362bedbb05530a87fafbcb6067708c946967a41d449e7/numpy-2.5.2.tar.gz", hash = "sha256:d482d171c406ae88c5b19cad3b6a1c4c5209f886ab74bc44c2c865c23f52d860", size = 20773161, upload-time = "2026-08-09T13:48:27.962Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/69/72/dccb0aaf40972777283303919f613964227266d0c13adebb79ac124f1c3e/numpy-2.5.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:14e373cfc6387177e8409dac3c7159be8eb05cd77096cd7c950268b86f62831c", size = 16891693, upload-time = "2026-08-09T13:44:51.702Z" },
+    { url = "https://files.pythonhosted.org/packages/60/2e/b5aee50a1f74ac815cf8331812cb8251e29024025de462e0c047641c614c/numpy-2.5.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4bbd96c833ecc8cc069ce518078fc8c60cb9cbfb0fea5b7a803ad65035596d03", size = 11903109, upload-time = "2026-08-09T13:44:55.501Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/f4/29e78102a80601cf034d4e9767022cffeca2c3b4c926e1754572ca95593d/numpy-2.5.2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:6e8172ddfcf5cf74b811d372b570b83c60bd2de87a6fbfbebdadb4a9bd9c6cbb", size = 5350202, upload-time = "2026-08-09T13:44:58.401Z" },
+    { url = "https://files.pythonhosted.org/packages/11/4b/dcd3b7eadaf4035d2c7a4289d232523a6964f602598ef7674e4bd7291f93/numpy-2.5.2-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:65f188481f1669e26f62b701e8205d19e460fa4a9b52a1414ba382330e4a3414", size = 6687736, upload-time = "2026-08-09T13:45:00.813Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/21/4947e0e9d6c9fc2e2ff15b8949049ee44f63adb9cacc729ab8793f97e712/numpy-2.5.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8ee9c4eeb8454b3660a8b53493563c3e121c2fc94fbd72b848ef814ed7b676a9", size = 15612696, upload-time = "2026-08-09T13:45:04.151Z" },
+    { url = "https://files.pythonhosted.org/packages/3a/5f/62d28cf019460c7f1394105b4d49d9911a9c444cb77ab0bd95a204c5a6de/numpy-2.5.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3cdec01fa790a186d430433fdd4d4ffb70eed6f0eeb4bf05c8dbe2dce0a9bcb8", size = 16722264, upload-time = "2026-08-09T13:45:07.714Z" },
+    { url = "https://files.pythonhosted.org/packages/14/25/3f0be4c1b9fdf5dd5e708a6806978564d7c46a055c000496309ff2a2f8af/numpy-2.5.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7999d4ddb0c4025018373fd787510d46e04c769467af22869707b3c1cfd459ab", size = 16974396, upload-time = "2026-08-09T13:45:11.316Z" },
+    { url = "https://files.pythonhosted.org/packages/22/72/6262cbdeeb45da9d971e40715f579d791603ba8ec0b5e2db1ac55454421d/numpy-2.5.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c1f017dc0875c9209d219f97feceb7d54c2661bb243deb4114478e1295808af7", size = 18476044, upload-time = "2026-08-09T13:45:14.869Z" },
+    { url = "https://files.pythonhosted.org/packages/36/33/29208b8b075bde62d26a81d14b358c42b0f69b6cabd98d4ff97f37f22b05/numpy-2.5.2-cp312-cp312-win32.whl", hash = "sha256:d6a48072864e3324e194a8fbb3c657bcc5b5c869dbc64c9537b1d5c862572c0a", size = 6072817, upload-time = "2026-08-09T13:45:17.867Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/b9/87fea2769fe1c47c1b5b01d8310772c9d1a85d485de7cf386ef7a3332b02/numpy-2.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:28ac63476ec7651484215ee7fa15a1f78b57c14621f01e392afe17b9a1390ce4", size = 12464674, upload-time = "2026-08-09T13:45:20.734Z" },
+    { url = "https://files.pythonhosted.org/packages/14/52/032b97e00461ab0809bbe4c588b035620e5a14b8cdee47ecddefc7b17d33/numpy-2.5.2-cp312-cp312-win_arm64.whl", hash = "sha256:27650bb0e7140fa3d37b9923b4803645e0b125d190f326eecfd3f4dad8e8ade1", size = 10397131, upload-time = "2026-08-09T13:45:23.73Z" },
+]
+
+[[package]]
+name = "packaging"
+version = "26.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/fa/3944b40b07da9ce895c0e6303a5ab7d53da063554f534556b134a54d6093/packaging-26.3.tar.gz", hash = "sha256:94edc256424af38762eb31306eed28beb9f0efc50a8837492c9d6fd6004aed79", size = 313412, upload-time = "2026-08-04T18:15:28.737Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/63/34/ba1c580383c9eada3711951fef0795c80b829a078d72188184bcab9dd527/packaging-26.3-py3-none-any.whl", hash = "sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c", size = 129956, upload-time = "2026-08-04T18:15:27.159Z" },
+]
+
+[[package]]
+name = "protobuf"
+version = "7.36.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a7/e7/0553e21d25ca4d9f573135775348a372c3ec34a93a71d5f297c3bac38341/protobuf-7.36.0.tar.gz", hash = "sha256:e8e09cb0d794c6687926fa558a8a6e72aa10edb997d5ca61da0765f12a3e00ea", size = 510034, upload-time = "2026-08-20T16:34:01.071Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8f/ae/58e3ca96cb2e118cc546b677359b3c6659f79a140935c08dec94c7998585/protobuf-7.36.0-cp310-abi3-macosx_10_9_universal2.whl", hash = "sha256:9103532dffd80c6fab7e50c65a31007680a06eb57537d437bb1b35812c138a37", size = 453256, upload-time = "2026-08-20T16:33:53.945Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/15/5162230af4912697f0fe406f6800f80760945babcff0e2c2fe6c84ef2d5d/protobuf-7.36.0-cp310-abi3-manylinux2014_aarch64.whl", hash = "sha256:bf94a5917c71058262de683669bc0a797a7669d3de71f0b36d058e3194f47b44", size = 341436, upload-time = "2026-08-20T16:33:55.134Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/09/1670b2bfc9a45e807e520c3e9be36524db9ccc7dc05ea17af7681cabdc61/protobuf-7.36.0-cp310-abi3-manylinux2014_s390x.whl", hash = "sha256:3297e60abdff301e5f74393d87f6cc59dacab5f024a89548a6e8de1d26576b16", size = 354440, upload-time = "2026-08-20T16:33:56.077Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/f8/bd5804695ba400e423c33fd4d9f58c28d86633d5ba1945c36ff3967d98cb/protobuf-7.36.0-cp310-abi3-manylinux2014_x86_64.whl", hash = "sha256:70f5ec8eb0da81a44360c0dc0beac99a0d78071d21956a7076bae8bd2051841b", size = 340439, upload-time = "2026-08-20T16:33:56.992Z" },
+    { url = "https://files.pythonhosted.org/packages/ef/9f/acd02338235a3e7d03168c4303478347b7624fc8189ff4e7f0d2654bbe86/protobuf-7.36.0-cp310-abi3-win32.whl", hash = "sha256:7326fd717bdc419162a735938d89d4032332bcc3408804012b24ff3a37086071", size = 440216, upload-time = "2026-08-20T16:33:57.99Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/4e/12cb93270967a2affff5b3f720694700d4d87712a67afd05c8cb3f6fa52c/protobuf-7.36.0-cp310-abi3-win_amd64.whl", hash = "sha256:1781cc1de61249b750848029bca452c0a8b7e990080316b9bbc2518b2117b488", size = 453731, upload-time = "2026-08-20T16:33:58.951Z" },
+    { url = "https://files.pythonhosted.org/packages/01/c3/629999e78d46c1115c11886d51c6bd68c17ce4a944f1ea3e153a91316a33/protobuf-7.36.0-py3-none-any.whl", hash = "sha256:53374d53fc29a67f7dbbf0ade47d7526a0f0137bf0f9c90e48d8a60790ef748c", size = 177024, upload-time = "2026-08-20T16:34:00.053Z" },
+]
+
+[[package]]
+name = "pycparser"
+version = "3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1b/7d/92392ff7815c21062bea51aa7b87d45576f649f16458d78b7cf94b9ab2e6/pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29", size = 103492, upload-time = "2026-01-21T14:26:51.89Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0c/c3/44f3fbbfa403ea2a7c779186dc20772604442dde72947e7d01069cbe98e3/pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992", size = 48172, upload-time = "2026-01-21T14:26:50.693Z" },
+]
+
+[[package]]
+name = "pygments"
+version = "2.21.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/49/2e/ced460408999b33da6b31b0021b0f37d329e202d4169aeb164493778f25b/pygments-2.21.0.tar.gz", hash = "sha256:610ca751c9bc2492b38eb9a38a7fbc93edbbb2d7182edaf34e66ae493dee5c8c", size = 5005329, upload-time = "2026-08-17T08:02:48.824Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/71/46/17f022dd3e953bf20a04a028a21ec746d942f8d2af30fa0f124fa0e6a684/pygments-2.21.0-py3-none-any.whl", hash = "sha256:2363c69b61c4a97c838da3b130dcd6468f4848992b21a82f2a63ec34377137d9", size = 1250147, upload-time = "2026-08-17T08:02:44.912Z" },
+]
+
+[[package]]
+name = "pyyaml"
+version = "6.0.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/05/8e/961c0007c59b8dd7729d542c61a4d537767a59645b82a0b521206e1e25c2/pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f", size = 130960, upload-time = "2025-09-25T21:33:16.546Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d1/33/422b98d2195232ca1826284a76852ad5a86fe23e31b009c9886b2d0fb8b2/pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196", size = 182063, upload-time = "2025-09-25T21:32:11.445Z" },
+    { url = "https://files.pythonhosted.org/packages/89/a0/6cf41a19a1f2f3feab0e9c0b74134aa2ce6849093d5517a0c550fe37a648/pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0", size = 173973, upload-time = "2025-09-25T21:32:12.492Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/23/7a778b6bd0b9a8039df8b1b1d80e2e2ad78aa04171592c8a5c43a56a6af4/pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28", size = 775116, upload-time = "2025-09-25T21:32:13.652Z" },
+    { url = "https://files.pythonhosted.org/packages/65/30/d7353c338e12baef4ecc1b09e877c1970bd3382789c159b4f89d6a70dc09/pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c", size = 844011, upload-time = "2025-09-25T21:32:15.21Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/9d/b3589d3877982d4f2329302ef98a8026e7f4443c765c46cfecc8858c6b4b/pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc", size = 807870, upload-time = "2025-09-25T21:32:16.431Z" },
+    { url = "https://files.pythonhosted.org/packages/05/c0/b3be26a015601b822b97d9149ff8cb5ead58c66f981e04fedf4e762f4bd4/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e", size = 761089, upload-time = "2025-09-25T21:32:17.56Z" },
+    { url = "https://files.pythonhosted.org/packages/be/8e/98435a21d1d4b46590d5459a22d88128103f8da4c2d4cb8f14f2a96504e1/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea", size = 790181, upload-time = "2025-09-25T21:32:18.834Z" },
+    { url = "https://files.pythonhosted.org/packages/74/93/7baea19427dcfbe1e5a372d81473250b379f04b1bd3c4c5ff825e2327202/pyyaml-6.0.3-cp312-cp312-win32.whl", hash = "sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5", size = 137658, upload-time = "2025-09-25T21:32:20.209Z" },
+    { url = "https://files.pythonhosted.org/packages/86/bf/899e81e4cce32febab4fb42bb97dcdf66bc135272882d1987881a4b519e9/pyyaml-6.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b", size = 154003, upload-time = "2025-09-25T21:32:21.167Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/08/67bd04656199bbb51dbed1439b7f27601dfb576fb864099c7ef0c3e55531/pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd", size = 140344, upload-time = "2025-09-25T21:32:22.617Z" },
+]
+
+[[package]]
+name = "regex"
+version = "2026.7.19"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/98/04b13f1ddfb63158025291c02e03eb42fbb7acb51d091d541050eb4e35e8/regex-2026.7.19.tar.gz", hash = "sha256:7e77b324909c1617cbb4c668677e2c6ae13f44d7c1de0d4f15f2e3c10f3315b5", size = 416440, upload-time = "2026-07-19T00:19:48.923Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3b/b9/d11d7e501ac8fd7d617684423ebb9561e0b998481c1e4cbc0cb212c5d74a/regex-2026.7.19-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:2cc3460cedf7579948486eab03bc9ad7089df4d7281c0f47f4afe03e8d13f02d", size = 496778, upload-time = "2026-07-19T00:17:05.677Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/a9/a5ab6f312f24318019170dc485d5421fe4f89e43a98640da50d95a8a7041/regex-2026.7.19-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:0e9554c8785eac5cffe6300f69a91f58ba72bc88a5f8d661235ad7c6aa5b8ccd", size = 297122, upload-time = "2026-07-19T00:17:07.59Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/63/4cab4d7f2d384a144d420b763d97674cb70619c878ea6fcd7640d0e62143/regex-2026.7.19-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d7da47a0f248977f08e2cb659ff3c17ddc13a4d39b3a7baa0a81bf5b415430f6", size = 292009, upload-time = "2026-07-19T00:17:09.648Z" },
+    { url = "https://files.pythonhosted.org/packages/22/85/102a81b218298957d4ea7d2f084fae537a71add9d6ff93c8e67284c5f45e/regex-2026.7.19-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:93db40c8de0815baab96a06e08a984bac71f989d13bab789e382158c5d426797", size = 796708, upload-time = "2026-07-19T00:17:11.542Z" },
+    { url = "https://files.pythonhosted.org/packages/78/b5/dc136af5629938a037cd2b304c12240e132ec92f38be8ff9cc89af2a1f2d/regex-2026.7.19-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:66bd62c59a5427746e8c44becae1d9b99d22fb13f30f492083dfb9ad7c45cc18", size = 865651, upload-time = "2026-07-19T00:17:13.312Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/75/67402ae3cd9c8c988a4c805d15ee3eef015e7ca4cb112cf3e640fc1f4153/regex-2026.7.19-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:1649eb39fcc9ea80c4d2f110fde2b8ab2aef3877b98f02ab9b14e961f418c511", size = 911756, upload-time = "2026-07-19T00:17:15.015Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/8e/096d00c7c480ef2ff4265349b14e2261d4ab787ba1f74e2e80d1c58079c3/regex-2026.7.19-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9dce8ec9695f531a1b8a6f314fd4b393adcccf2ea861db480cdf97a301d01a68", size = 801798, upload-time = "2026-07-19T00:17:17.208Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/41/e7ecac6edb5722417f85cc67eaf386322fbe8acf6918ec2fdc37c20dd9d0/regex-2026.7.19-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:3080a7fd38ef049bd489e01c970c97dd84ff446a885b0f1f6b26d9b1ad13ce11", size = 776933, upload-time = "2026-07-19T00:17:19.347Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/69/03c9b3f058d66403e0ca2c938696e81d51cd4c6d47ec5265f02f96948d9a/regex-2026.7.19-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1d793a7988e04fcb1e2e135567443d82173225d657419ec09414a9b5a145b986", size = 784338, upload-time = "2026-07-19T00:17:21.057Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/f7/b38ab3d43f284afbb618fcd15d0e77eb786ae461ce1f6bc7494619ddc0f2/regex-2026.7.19-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:e8b0abe7d870f53ca5143895fef7d1041a0c831a140d3dc2c760dd7ba25d4a8b", size = 860452, upload-time = "2026-07-19T00:17:23.119Z" },
+    { url = "https://files.pythonhosted.org/packages/15/5c/ff60ef0571121714f3cf9920bc183071e384a10b556d042e0fdb06cc07a5/regex-2026.7.19-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:4e5413bd5f13d3a4e3539ca98f70f75e7fca92518dd7f117f030ebedd10b60cb", size = 765958, upload-time = "2026-07-19T00:17:24.81Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/0f/bd34021162c0ab47f9a315bd56cd5642e920c8e5668a75ef6c6a6fca590d/regex-2026.7.19-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:73b133a9e6fb512858e7f065e96f1180aa46646bc74a83aea62f1d314f3dd035", size = 851765, upload-time = "2026-07-19T00:17:26.993Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/20/a2ca43edade0595cccfdc98636739f536d9e26898e7dbddc2b9e98898953/regex-2026.7.19-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dbe6493fbd27321b1d1f2dd4f5c7e5bd4d8b1d7cab7f32fd67db3d0b2ed8248a", size = 789714, upload-time = "2026-07-19T00:17:28.699Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/47/e02db4015d424fc83c00ea0ac8c5e5ec14397943de9abf909d5ce3a25931/regex-2026.7.19-cp312-cp312-win32.whl", hash = "sha256:ddd67571c10869f65a5d7dde536d1e066e306cc90de57d7de4d5f34802428bb5", size = 267157, upload-time = "2026-07-19T00:17:31.051Z" },
+    { url = "https://files.pythonhosted.org/packages/08/8e/c780c131f79b42ed22d1bd7da4096c2c35f813e835acd02ef0f018bd892c/regex-2026.7.19-cp312-cp312-win_amd64.whl", hash = "sha256:e30d40268a28d54ce0437031750497004c22602b8e3ab891f759b795a003b312", size = 277777, upload-time = "2026-07-19T00:17:32.848Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/4c/e4d7e086449bdf379d89774bf1f89dc4a41943f3c5a6125a03905b34b5fb/regex-2026.7.19-cp312-cp312-win_arm64.whl", hash = "sha256:de9208bb427130c82a5dbfd104f92c8876fc9559278c880b3002755bbbe9c83d", size = 277136, upload-time = "2026-07-19T00:17:34.803Z" },
+]
+
+[[package]]
+name = "rich"
+version = "15.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown-it-py" },
+    { name = "pygments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c0/8f/0722ca900cc807c13a6a0c696dacf35430f72e0ec571c4275d2371fca3e9/rich-15.0.0.tar.gz", hash = "sha256:edd07a4824c6b40189fb7ac9bc4c52536e9780fbbfbddf6f1e2502c31b068c36", size = 230680, upload-time = "2026-04-12T08:24:00.75Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/82/3b/64d4899d73f91ba49a8c18a8ff3f0ea8f1c1d75481760df8c68ef5235bf5/rich-15.0.0-py3-none-any.whl", hash = "sha256:33bd4ef74232fb73fe9279a257718407f169c09b78a87ad3d296f548e27de0bb", size = 310654, upload-time = "2026-04-12T08:24:02.83Z" },
+]
+
+[[package]]
+name = "safetensors"
+version = "0.8.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/45/06/f955dbbb1859e3bd23c8ac6141af5106e7ad5fedec4a3a6e3d60f94b7001/safetensors-0.8.0.tar.gz", hash = "sha256:fabaf3e0f18a6618d9b36560682562157f77c2b71fcffc7b432be2baed9d753d", size = 325846, upload-time = "2026-06-09T07:52:25.563Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/39/a0/f718cda65b05407d228f97602cf60dca269c979867aa5beb25410de26cd3/safetensors-0.8.0-cp310-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c554f85858e05226d3c2828e32395e677434685d6d94594a41643361c5e837f0", size = 473568, upload-time = "2026-06-09T07:52:18.829Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/b1/fa7c600e7dceae12e9606c7578cbc9ff1e1ed55844883ee5c92205e86226/safetensors-0.8.0-cp310-abi3-macosx_11_0_arm64.whl", hash = "sha256:c80201d22cbf405b80647a60ada77bba06c8fba2da2743ba1e89cdcc39a81f25", size = 484562, upload-time = "2026-06-09T07:52:17.518Z" },
+    { url = "https://files.pythonhosted.org/packages/09/7d/65a7de0af421317bb36a067241e4235fff194eed60b961ed6d3f59a3fc60/safetensors-0.8.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a46e5ff292c356d6991e60942ba7f79817682d3a2cef0702136448cb9c4d235", size = 502844, upload-time = "2026-06-09T07:52:07.624Z" },
+    { url = "https://files.pythonhosted.org/packages/91/4f/3175c9d75634e0e0dda0082794193521035edd7c70a6f212bf33ca06ddf4/safetensors-0.8.0-cp310-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4124502b78f03534117c848f87a39b8f31e577b15eff423bf8bfb95f2a8c30d0", size = 511823, upload-time = "2026-06-09T07:52:09.565Z" },
+    { url = "https://files.pythonhosted.org/packages/20/87/846c289e7aa2299eff406335717cf43ce8777194ece8aad75772e0411615/safetensors-0.8.0-cp310-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7bc0a787ba8a35be368ee3574edfa2b1ad389eebd0a72e482ae275490e3f6c98", size = 633461, upload-time = "2026-06-09T07:52:11.128Z" },
+    { url = "https://files.pythonhosted.org/packages/76/22/8d64d9df2c45d5ded401df889d0ad90882804ca172d79ec4f0df8f727fe0/safetensors-0.8.0-cp310-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:040070828e36dc8e122178bbbd5830ff9e97920affb84cbe0f46442497bed358", size = 545148, upload-time = "2026-06-09T07:52:13.603Z" },
+    { url = "https://files.pythonhosted.org/packages/28/50/f203ff3a3ddfe19308efc83c5a3a29ed02bf786732ec35e68bf9162f3365/safetensors-0.8.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd6f3f93c9a0a7cc2788ee63fb763353d4bd2e89b0751bc78fcf7dda00bea774", size = 516040, upload-time = "2026-06-09T07:52:16.29Z" },
+    { url = "https://files.pythonhosted.org/packages/46/fb/cdaed17ceb2948784fd9c36b6fd3e951b608547cea81a48e8ee6f8cfdfcb/safetensors-0.8.0-cp310-abi3-manylinux_2_31_riscv64.whl", hash = "sha256:fcdd41ec4628fee5799f807c73c353629130fbd942aa23d83c623dd6c9d52d78", size = 513832, upload-time = "2026-06-09T07:52:12.37Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/49/1e15de264dcc3b77943d2d0c56a95809956883b1c2d6d585c792523f180b/safetensors-0.8.0-cp310-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8e9f537aa183a38ace122d27303dcd986b26bd2a7591f9181d7f0c396f4677ca", size = 559930, upload-time = "2026-06-09T07:52:14.743Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/43/bf38443278eab4b1be1fce2931e2b012ad9cb7df52ada751d0aab8f7659a/safetensors-0.8.0-cp310-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:87eec7ffed2b809f05a398a8becb7d013f19f7837cd15d9748580d6cf30dbaf4", size = 678670, upload-time = "2026-06-09T07:52:20.032Z" },
+    { url = "https://files.pythonhosted.org/packages/72/e3/68cd3fa5b48488e84add63e04cb12f3bc28ae4638c06d4508c6e88823d0e/safetensors-0.8.0-cp310-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:4a95ae2b05d7726d751da4ebf626a2ca782b706e101bd894c95bc2450b1cffcc", size = 786679, upload-time = "2026-06-09T07:52:21.322Z" },
+    { url = "https://files.pythonhosted.org/packages/29/4b/1c19c509d56e01f4fbb3d0a2e597450f6cc04d1d56cf52defb0a62dfd715/safetensors-0.8.0-cp310-abi3-musllinux_1_2_i686.whl", hash = "sha256:3ae091f16662658bdc019a4ff6cb4c085bb7d725eb5978b183ffd265863b6d2d", size = 765683, upload-time = "2026-06-09T07:52:22.594Z" },
+    { url = "https://files.pythonhosted.org/packages/27/43/41c1621732edd934d868a00d1b891584c892a7b62a9aab82ea5a0a5623ee/safetensors-0.8.0-cp310-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:8e080062fcde23be189565e1c3305d16751a218ecf9412c8601e64204eb6f846", size = 722361, upload-time = "2026-06-09T07:52:23.924Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/3f/73ccf82579412b4a71c4ca673f10b5f1f888d7cf5af7fe24f27d30307be4/safetensors-0.8.0-cp310-abi3-win32.whl", hash = "sha256:2ddf52eac562eda224f99acfa7889d02968c1fd59a5b011ae7d8137c37e9c02d", size = 342401, upload-time = "2026-06-09T07:52:28.895Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/6d/3fba214c1e5e0f69991677ec3bc17023f0421776975e1de0c682dca475e2/safetensors-0.8.0-cp310-abi3-win_amd64.whl", hash = "sha256:096ec1a98435df7beb08853bb5aa9081a84f23d0adc67ed1a0a10550f608373f", size = 355540, upload-time = "2026-06-09T07:52:27.832Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/fc/7eedc3510d97878876e32774eebbeb61c43f148a96e915c84229a3e967aa/safetensors-0.8.0-cp310-abi3-win_arm64.whl", hash = "sha256:f7838e5135a406ad3e02efdcb8cf2e5397d368b0154537c4fec682dbc544d452", size = 340500, upload-time = "2026-06-09T07:52:26.745Z" },
+]
+
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/58/15/8b3609fd3830ef7b27b655beb4b4e9c62313a4e8da8c676e142cc210d58e/shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de", size = 10310, upload-time = "2023-10-24T04:13:40.426Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e0/f9/0595336914c5619e5f28a1fb793285925a8cd4b432c9da0a987836c7f822/shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686", size = 9755, upload-time = "2023-10-24T04:13:38.866Z" },
+]
+
+[[package]]
+name = "soundfile"
+version = "0.14.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi" },
+    { name = "numpy" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d2/db/949331952a6fb1c5b12e9de80fd08747966c2039d1a61db4764fbd3981c2/soundfile-0.14.0.tar.gz", hash = "sha256:ba1c1a2d618bca5c406647c83b89f07cc8810fa506a50622a6993ba130c1de11", size = 47842, upload-time = "2026-06-06T08:58:47.869Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b1/d1/5e338af9ca6ed0786cd5bb03f6d60de1c325728c1189014f3b59aae7403c/soundfile-0.14.0-py2.py3-none-any.whl", hash = "sha256:8ba81ae3a89fd5ab3bef8a8eb481fbbe794e806309675a89b4df48b8d31908a8", size = 26799, upload-time = "2026-06-06T08:58:33.269Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/72/c6b21e58d3113596e7e8de0a08d6f1d95173492cfbca0a4db14148cbba2a/soundfile-0.14.0-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:19be05428da76ed61a4cad29b8e4bcf43a3e5c100089d2ec81dc961eed1b0dd4", size = 1144568, upload-time = "2026-06-06T08:58:35.231Z" },
+    { url = "https://files.pythonhosted.org/packages/63/7a/dfdd6f8c748988427119f75eb860a3cedd858d1aea1fe28f39ad8559ef22/soundfile-0.14.0-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:d828d35a059626da52f1415b5faee610aeab393319cb3fc4a9aef47b619fc14c", size = 1103726, upload-time = "2026-06-06T08:58:37.948Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/f8/fc39fad6f879633461d27394cd1ddaf1f769ffa0597dca35872f51b16461/soundfile-0.14.0-py2.py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:e85724a90bc99a6e8062c0b4ddf725f53b2a3b70afd4da875e9d2cfc4e92f377", size = 1238050, upload-time = "2026-06-06T08:58:39.932Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/a2/70fd4432b924684c372df8b0a45708c36c057ef3596c9eb53e0a806b980b/soundfile-0.14.0-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:1e38bac1853412871318e82a1ba69a8be677619b56025bbfcccdb41b6cafe82d", size = 1315963, upload-time = "2026-06-06T08:58:41.716Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/34/c9e80783d83eab739a9531fdee03675d53e0bf1b2ccb4bb3af5844675046/soundfile-0.14.0-py2.py3-none-win32.whl", hash = "sha256:0a6ae43c50c71b4e020cc55382925cb89451c1ed1a0c3d0f5d802da269226849", size = 902199, upload-time = "2026-06-06T08:58:43.289Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/97/b39c18ac1df45e755ca22b8b00e872929da5d107998a207a5e4ac831bfda/soundfile-0.14.0-py2.py3-none-win_amd64.whl", hash = "sha256:299491d3499460fb1b74bb4bd78b57ffc2d243a5fafa7b6ec1b264875c78453e", size = 1021480, upload-time = "2026-06-06T08:58:45.016Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/83/55c65e61cf457805ce2ec157c1c6ae17715d0851aa2374422de0538838ca/soundfile-0.14.0-py2.py3-none-win_arm64.whl", hash = "sha256:e090704718e124e7c844695236f1fce8d18a5e761eaf7c82dfcd124620805f98", size = 888858, upload-time = "2026-06-06T08:58:46.593Z" },
+]
+
+[[package]]
+name = "tokenizers"
+version = "0.23.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "huggingface-hub" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c1/60/21f715d9faba5f5407ff759472ade058ec4a507ad62bcea47cb847239a73/tokenizers-0.23.1.tar.gz", hash = "sha256:1feeeadf865a7915adc25445dea30e9933e593c31bb96c277cee36de227c8bfa", size = 365748, upload-time = "2026-04-27T14:43:25.606Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/87/39/b87a87d5bb9470610b80a2d31df42fcffeaf35118b8b97952b2aff598cc7/tokenizers-0.23.1-cp310-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e03d6ffcbe0d56ee9c1ccd070e70a13fa750727c0277e138152acbc0252c2224", size = 3146732, upload-time = "2026-04-27T14:43:15.427Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/6a/068ed9f6e444c9d7e9d55ce134181325700f3d7f30410721bdc8f848d727/tokenizers-0.23.1-cp310-abi3-macosx_11_0_arm64.whl", hash = "sha256:e0948bbb1ac1d7cdfc9fb6d62c596e3b7550036ad60ecd654a66ad273326324e", size = 3054954, upload-time = "2026-04-27T14:43:13.745Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/36/e006edf031154cba92b8416057d92c3abe3635e4c4b0aa0b5b9bb39dde70/tokenizers-0.23.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bf13402aff9bc533c89cb849ec3b412dc3fbeacc9744840e423d7bf3f7dc0e3", size = 3374081, upload-time = "2026-04-27T14:43:01.241Z" },
+    { url = "https://files.pythonhosted.org/packages/a2/ef/7735d226f9c7f874a6bee5e3f27fb25ecabdf207d37b8cf45286d0795893/tokenizers-0.23.1-cp310-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f836ca703b89ae07919a309f9651f7a88fd5a33d5f718ba5ad0870ec0256bad6", size = 3247641, upload-time = "2026-04-27T14:43:03.856Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/d9/24827036f6e21297bfffda0768e58eb6096a4f411e932964a01707857931/tokenizers-0.23.1-cp310-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae848657742035523fdf261773630cb819a26995fcd3d9ecae0c1daf6e5a4959", size = 3585624, upload-time = "2026-04-27T14:43:10.664Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/9a/22f3582b3a4f49358293a5206e25317621ee4526bfe9cdaa0f07a12e770e/tokenizers-0.23.1-cp310-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:53b09e85775d5187941e7bab30e941b4134ab4a7dd8c68e783d231fb7ca27c51", size = 3844062, upload-time = "2026-04-27T14:43:05.643Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/65/b8f8814eef95800f20721384136d9a1d22241d50b2874357cb70542c392f/tokenizers-0.23.1-cp310-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ea5a0ce170074329faaa8ea3f6400ecde604b6678192688533af80980daae71a", size = 3460098, upload-time = "2026-04-27T14:43:08.854Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/d5/1353e5f677ec27c2494fb6a6725e82d56c985f53e90ec511369e7e4f02c6/tokenizers-0.23.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5075b405006415ea148a992d093699c66eb01952bf59f4d5727089a98bda45a4", size = 3346235, upload-time = "2026-04-27T14:43:12.377Z" },
+    { url = "https://files.pythonhosted.org/packages/71/89/39b6b8fc073fb6d413d0147aa333dc7eff7be65639ac9d19930a0b21bf33/tokenizers-0.23.1-cp310-abi3-manylinux_2_31_riscv64.whl", hash = "sha256:56f3a77de629917652f876294dc9fe6bad4a0c43bc229dc72e59bb23a0f4729a", size = 3426398, upload-time = "2026-04-27T14:43:07.264Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/80/127c854da64827e5b79264ce524993a90dddcb320e5cd42412c5c02f9e8a/tokenizers-0.23.1-cp310-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9d10a6d957ef01896dc274e890eee27d41bd0e74ef31e60616f0fc311345184e", size = 9823279, upload-time = "2026-04-27T14:43:17.222Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/ba/44c2502feb1a058f096ddfb4e0996ef3225a01a388e1a9b094e91689fe93/tokenizers-0.23.1-cp310-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:1974288a609c343774f1b897c8b482c791ab17b75ab5c8c2b1737565c1d82288", size = 9644986, upload-time = "2026-04-27T14:43:19.45Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/c1/464019a9fb059870bfe4eebb4ba12208f3042035e258bf5e782906bd3847/tokenizers-0.23.1-cp310-abi3-musllinux_1_2_i686.whl", hash = "sha256:120468fb4c24faf0543c835a4fabafa4deb3f20a035c9b6e83d0b553a97615d4", size = 9976181, upload-time = "2026-04-27T14:43:21.463Z" },
+    { url = "https://files.pythonhosted.org/packages/79/94/3ac1432bda31626071e9b6a12709b97ae05131c804b94c8f3ac622c5da32/tokenizers-0.23.1-cp310-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:e3d8f40ea6268047de7046906326abed5134f27d4e8447b23763afe5808c8a96", size = 10113853, upload-time = "2026-04-27T14:43:23.617Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/dd/631b21433c771b1382535326f0eca80b9c9cee2e64961dd993bc9ac4669e/tokenizers-0.23.1-cp310-abi3-win32.whl", hash = "sha256:93120a930b919416da7cd10a2f606ac9919cc69cacae7980fa2140e277660948", size = 2536263, upload-time = "2026-04-27T14:43:29.888Z" },
+    { url = "https://files.pythonhosted.org/packages/97/c9/2553f72aaf65a2797d4229e37fa7fbe38ffbf3e32912d31bdd78b3323e59/tokenizers-0.23.1-cp310-abi3-win_amd64.whl", hash = "sha256:e7bfaf995c1bdbbd21d13539decb6650967013759318627d85daeb7881af16b7", size = 2798223, upload-time = "2026-04-27T14:43:28.51Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/2b/2be299bab55fc595e3d38567edb1a87f86e594842968fa9515a07bdcf422/tokenizers-0.23.1-cp310-abi3-win_arm64.whl", hash = "sha256:a26197957d8e4425dfba746315f3c425ea00cfa8367c5fbc4ec73447893dcea9", size = 2664127, upload-time = "2026-04-27T14:43:26.949Z" },
+]
+
+[[package]]
+name = "tqdm"
+version = "4.70.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/21/3b/6c24bec5be5e743ffd99576daa5cc077722fc7d5bbc00bd133fa0c698dc6/tqdm-4.70.0.tar.gz", hash = "sha256:55b0b0dbd97462d06ebee91e4dac24ed4d4702be82b24f07e6c1d27e08cea220", size = 795438, upload-time = "2026-07-27T11:33:15.271Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f9/1c/01bfd571a64e7f270e6bab5e33777debe0edc56759233ce84f27dec92d14/tqdm-4.70.0-py3-none-any.whl", hash = "sha256:7f585706bfddbdebf89daac705b2dfcc16890130727d3197ca62c732b4310953", size = 80184, upload-time = "2026-07-27T11:33:13.167Z" },
+]
+
+[[package]]
+name = "transformers"
+version = "5.16.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "huggingface-hub" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pyyaml" },
+    { name = "regex" },
+    { name = "safetensors" },
+    { name = "tokenizers" },
+    { name = "tqdm" },
+    { name = "typer" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ad/2e/ba418680ab901dae269360bb8642485eae04f1af91ee2ebb8bd6f3607305/transformers-5.16.1.tar.gz", hash = "sha256:17b0eac726ddc55e84ac58946063e0c6d37fd000c456b581f050ea0f4e822869", size = 9650542, upload-time = "2026-08-26T14:48:58.789Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0d/4d/ee3728674c0bbc637bb4af88ccf0be697f92e4e90b55f5dc110c44d61b61/transformers-5.16.1-py3-none-any.whl", hash = "sha256:2f2d5b98a5ad3718713653734298fa620754ed683702a635ebb587df3ed29c7e", size = 12080592, upload-time = "2026-08-26T14:48:55.083Z" },
+]
+
+[[package]]
+name = "typer"
+version = "0.27.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "annotated-doc" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "rich" },
+    { name = "shellingham" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/16/f7/57713ba479fd405eb76de31404b2c744c289e336b2d999511ebf51e496f7/typer-0.27.2.tar.gz", hash = "sha256:269b7eb9d3c202ca84b4bc9618cb04ebb43d3d4d1e567e4c768607232c05f945", size = 204045, upload-time = "2026-08-28T10:26:55.046Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/dc/bf/205d0004930ede8f542fb58f601526fccf4ae7626075ca1e6c4de5d3d652/typer-0.27.2-py3-none-any.whl", hash = "sha256:b3a5fc4342d5fc8fda8fc3010b1cf117e9249aab7fae800c2eff62fd3842d97d", size = 123130, upload-time = "2026-08-28T10:26:53.752Z" },
+]
+
+[[package]]
+name = "typing-extensions"
+version = "4.16.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f6/cc/6253133b5bb138fc3306cebfbda2c520f545d36b5be2c7255cc528bb45d6/typing_extensions-4.16.0.tar.gz", hash = "sha256:dc983d19a509c94dba722ee6abd33940f7c05a89e243c47e907eb4db6f1a43e5", size = 113555, upload-time = "2026-07-02T08:40:05.92Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/49/d3/b8441a820a491ddfc024b0b0cf0393375b75ea13866d9c66727e54c2fc80/typing_extensions-4.16.0-py3-none-any.whl", hash = "sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8", size = 45571, upload-time = "2026-07-02T08:40:04.659Z" },
+]
+
+[[package]]
+name = "whisper-medium-int8-litert-runtime"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+    { name = "ai-edge-litert" },
+    { name = "numpy" },
+    { name = "soundfile" },
+    { name = "transformers" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "ai-edge-litert", specifier = "==2.2.0" },
+    { name = "numpy", specifier = "==2.5.2" },
+    { name = "soundfile", specifier = "==0.14.0" },
+    { name = "transformers", specifier = "==5.16.1" },
+]