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+venv/Scripts/f2py.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/flask.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/huggingface-cli.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/isympy.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/normalizer.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/numpy-config.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/pip.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/pip3.10.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/pip3.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/python.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/pythonw.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/tiny-agents.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/torchfrtrace.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/torchrun.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/tqdm.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/transformers-cli.exe filter=lfs diff=lfs merge=lfs -text
+venv/Scripts/transformers.exe filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,110 @@
+from flask import Flask, render_template, request, jsonify
+import os
+import torch
+from diffusers import StableDiffusionPipeline
+from PIL import Image
+import re
+import time
+
+app = Flask(__name__)
+
+# Define paths
+MODEL_PATH = "Roshan1162003/fine_tuned_model"  # Replace with your HF model repository ID
+STATIC_IMAGES_PATH = os.path.join("static", "images")
+os.makedirs(STATIC_IMAGES_PATH, exist_ok=True)
+
+# Restricted terms for prompt filtering
+RESTRICTED_TERMS = [
+    "crime", "abuse", "violence", "illegal", "explicit", "nsfw",
+    "offensive", "hate", "nude", "porn", "gore", "drug"
+]
+
+# Load the fine-tuned model
+pipe = None
+if torch.cuda.is_available():
+    pipe = StableDiffusionPipeline.from_pretrained(
+        MODEL_PATH,
+        torch_dtype=torch.float16,
+        use_safetensors=True,
+        use_auth_token=os.getenv("HF_TOKEN")  # Use HF_TOKEN from environment
+    ).to("cuda")
+else:
+    pipe = StableDiffusionPipeline.from_pretrained(
+        MODEL_PATH,
+        torch_dtype=torch.float32,
+        use_safetensors=True,
+        use_auth_token=os.getenv("HF_TOKEN")
+    )
+print("Model loaded successfully")
+
+# Aspect ratio to resolution mapping
+ASPECT_RATIOS = {
+    "1:1": (512, 512),
+    "4:3": (512, 384),
+    "16:9": (512, 288)
+}
+
+def is_prompt_safe(prompt):
+    """Check if prompt contains restricted terms."""
+    prompt_lower = prompt.lower()
+    for term in RESTRICTED_TERMS:
+        if re.search(r'\b' + re.escape(term) + r'\b', prompt_lower):
+            return False
+    return True
+
+@app.route("/", methods=["GET"])
+def index():
+    return render_template("index.html")
+
+@app.route("/generate", methods=["POST"])
+def generate():
+    try:
+        # Get form data
+        prompt = request.form.get("prompt", "").strip()
+        num_images = int(request.form.get("num_images", 1))
+        aspect_ratio = request.form.get("aspect_ratio", "1:1")
+        model_name = request.form.get("model", "stable_diffusion")
+
+        # Validate inputs
+        if not prompt:
+            return jsonify({"error": "Prompt is required"}), 400
+        if model_name != "stable_diffusion":
+            return jsonify({"error": "Selected model is locked"}), 400
+        if num_images < 1 or num_images > 5:
+            return jsonify({"error": "Number of images must be between 1 and 5"}), 400
+        if aspect_ratio not in ASPECT_RATIOS:
+            return jsonify({"error": "Invalid aspect ratio"}), 400
+
+        # Check for restricted terms
+        if not is_prompt_safe(prompt):
+            return jsonify({
+                "error": "You are violating the regulation policy terms and conditions due to restricted terms in the prompt."
+            }), 400
+
+        # Get resolution for aspect ratio
+        width, height = ASPECT_RATIOS[aspect_ratio]
+
+        # Generate images
+        image_paths = []
+        for i in range(num_images):
+            image = pipe(
+                prompt,
+                width=width,
+                height=height,
+                num_inference_steps=50,
+                guidance_scale=7.5,
+                seed=42 + i
+            ).images[0]
+            # Save image
+            timestamp = int(time.time() * 1000)
+            image_path = os.path.join(STATIC_IMAGES_PATH, f"generated_{timestamp}_{i}.png")
+            image.save(image_path)
+            image_paths.append(image_path.replace("static/", ""))
+
+        return jsonify({"images": image_paths})
+
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860, debug=False)

fine_tuned_model/feature_extractor/preprocessor_config.json

@@ -0,0 +1,27 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

fine_tuned_model/logs/dreambooth/1750848551.8584013/events.out.tfevents.1750848551.ef0460d8cbbe.10247.1

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fine_tuned_model/logs/dreambooth/1750848551.8677673/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 200
+checkpoints_total_limit: null
+class_data_dir: null
+class_labels_conditioning: null
+class_prompt: null
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+instance_data_dir: /content/drive/MyDrive/Datasets/combined
+instance_prompt: a person
+learning_rate: 5.0e-06
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 500
+max_grad_norm: 1.0
+max_train_steps: 800
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 58
+num_validation_images: 4
+offset_noise: false
+output_dir: /content/drive/MyDrive/Datasets/fine_tuned_model
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: /content/stable-diffusion-v1-5
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: false
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
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+scale_lr: false
+seed: 42
+set_grads_to_none: false
+skip_save_text_encoder: false
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+train_text_encoder: true
+use_8bit_adam: true
+validation_prompt: '[V1], founder of this'
+validation_scheduler: DPMSolverMultistepScheduler
+validation_steps: 100
+variant: null
+with_prior_preservation: false

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+max_grad_norm: 1.0
+max_train_steps: 800
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 62
+num_validation_images: 4
+offset_noise: false
+output_dir: /content/drive/MyDrive/Datasets/fine_tuned_model
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: /content/stable-diffusion-v1-5
+prior_generation_precision: null
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+validation_prompt: '[V1], founder of this'
+validation_scheduler: DPMSolverMultistepScheduler
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fine_tuned_model/model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.34.0",
+  "_name_or_path": "/content/stable-diffusion-v1-5",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "image_encoder": [
+    null,
+    null
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

fine_tuned_model/safety_checker/config.json

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+{
+  "architectures": [
+    "StableDiffusionSafetyChecker"
+  ],
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
+  "projection_dim": 768,
+  "text_config": {
+    "attention_dropout": 0.0,
+    "dropout": 0.0,
+    "hidden_act": "quick_gelu",
+    "hidden_size": 768,
+    "initializer_factor": 1.0,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "layer_norm_eps": 1e-05,
+    "max_position_embeddings": 77,
+    "model_type": "clip_text_model",
+    "num_attention_heads": 12,
+    "num_hidden_layers": 12,
+    "projection_dim": 512,
+    "torch_dtype": "float32",
+    "vocab_size": 49408
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.4",
+  "vision_config": {
+    "attention_dropout": 0.0,
+    "dropout": 0.0,
+    "hidden_act": "quick_gelu",
+    "hidden_size": 1024,
+    "image_size": 224,
+    "initializer_factor": 1.0,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "layer_norm_eps": 1e-05,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 512,
+    "torch_dtype": "float32"
+  }
+}

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fine_tuned_model/scheduler/scheduler_config.json

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+{
+  "_class_name": "PNDMScheduler",
+  "_diffusers_version": "0.34.0",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "trained_betas": null
+}

fine_tuned_model/text_encoder/config.json

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+{
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "hidden_act": "quick_gelu",
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+  "initializer_factor": 1.0,
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+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
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+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.4",
+  "vocab_size": 49408
+}

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fine_tuned_model/tokenizer/special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

fine_tuned_model/tokenizer/tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+      "content": "<|startoftext|>",
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+      "normalized": true,
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+      "single_word": false,
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+    },
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "do_lower_case": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

fine_tuned_model/unet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.34.0",
+  "_name_or_path": "/content/stable-diffusion-v1-5",
+  "act_fn": "silu",
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+  "attention_type": "default",
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+    1280,
+    1280
+  ],
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+  "cross_attention_norm": null,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
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+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
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+  "sample_size": 64,
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+  "time_embedding_dim": null,
+  "time_embedding_type": "positional",
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+  "transformer_layers_per_block": 1,
+  "up_block_types": [
+    "UpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

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fine_tuned_model/vae/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.34.0",
+  "_name_or_path": "/content/stable-diffusion-v1-5/vae",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "force_upcast": true,
+  "in_channels": 3,
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+  "out_channels": 3,
+  "sample_size": 512,
+  "scaling_factor": 0.18215,
+  "shift_factor": null,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": true,
+  "use_quant_conv": true
+}

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generate_images_local.py

@@ -0,0 +1,48 @@
+import os
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Define paths (update to your local path)
+model_path = "./fine_tuned_model"  # Replace with actual path, e.g., C:/Users/YourName/fine_tuned_model
+output_dir = "generated_images"
+
+# Create output directory
+os.makedirs(output_dir, exist_ok=True)
+
+# Load the fine-tuned model
+print("Loading fine-tuned model...")
+pipe = StableDiffusionPipeline.from_pretrained(
+    model_path,
+    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+    use_safetensors=True
+)
+
+# Move to GPU if available
+if torch.cuda.is_available():
+    pipe = pipe.to("cuda")
+    print("Using GPU for inference")
+else:
+    print("Using CPU for inference")
+
+# Define prompts
+prompts = [
+    "[V1], founder of this",
+    "[V2], most decent and cute innocent girl of ECE from 2025 batch in ALIET"
+]
+
+# Generate images
+for i, prompt in enumerate(prompts):
+    print(f"Generating image for prompt: {prompt}")
+    image = pipe(
+        prompt,
+        num_inference_steps=50,
+        guidance_scale=7.5,
+        seed=42  # Fixed seed for reproducibility
+    ).images[0]
+    # Save image
+    image_path = os.path.join(output_dir, f"generated_image_{i+1}.png")
+    image.save(image_path)
+    print(f"Saved image to {image_path}")
+
+# List generated images
+print("Generated images:", os.listdir(output_dir))

requirements.txt

@@ -0,0 +1,7 @@
+flask==3.0.3
+torch==2.3.0
+diffusers==0.34.0
+transformers==4.52.0
+accelerate==0.33.0
+safetensors==0.4.5
+pillow==10.4.0

templates/index.html

@@ -0,0 +1,601 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>AI Image Studio - Professional Text-to-Image Generator</title>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css" rel="stylesheet">
+    <style>
+        * {
+            margin: 0;
+            padding: 0;
+            box-sizing: border-box;
+        }
+
+        body {
+            font-family: 'Segoe UI', Tango, Geneva, Verdana, sans-serif;
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            min-height: 100vh;
+            padding: 20px;
+            line-height: 1.6;
+        }
+
+        .main-container {
+            max-width: 1200px;
+            margin: 0 auto;
+        }
+
+        /* Header */
+        .header {
+            text-align: center;
+            margin-bottom: 40px;
+            color: white;
+        }
+
+        .header h1 {
+            font-size: 3rem;
+            font-weight: 300;
+            margin-bottom: 10px;
+            letter-spacing: -1px;
+        }
+
+        .header .subtitle {
+            font-size: 1.2rem;
+            opacity: 0.9;
+            font-weight: 300;
+        }
+
+        /* Main Content Grid */
+        .content-grid {
+            display: grid;
+            grid-template-columns: 1fr 1fr;
+            gap: 30px;
+            align-items: start;
+        }
+
+        /* Control Panel */
+        .control-panel {
+            background: white;
+            border-radius: 16px;
+            padding: 32px;
+            box-shadow: 0 20px 40px rgba(0, 0, 0, 0.1);
+            backdrop-filter: blur(10px);
+        }
+
+        .panel-title {
+            font-size: 1.5rem;
+            font-weight: 600;
+            color: #2d3748;
+            margin-bottom: 24px;
+            display: flex;
+            align-items: center;
+            gap: 12px;
+        }
+
+        .form-group {
+            margin-bottom: 24px;
+        }
+
+        .form-label {
+            display: block;
+            font-size: 0.875rem;
+            font-weight: 600;
+            color: #4a5568;
+            margin-bottom: 8px;
+            text-transform: uppercase;
+            letter-spacing: 0.5px;
+        }
+
+        .form-input, .form-select, .form-textarea {
+            width: 100%;
+            padding: 14px 16px;
+            border: 2px solid #e2e8f0;
+            border-radius: 12px;
+            font-size: 1rem;
+            transition: all 0.3s ease;
+            background: #f8fafc;
+        }
+
+        .form-input:focus, .form-select:focus, .form-textarea:focus {
+            outline: none;
+            border-color: #667eea;
+            background: white;
+            box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.1);
+        }
+
+        .form-textarea {
+            min-height: 120px;
+            resize: vertical;
+            font-family: inherit;
+        }
+
+        .form-select {
+            cursor: pointer;
+            background-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 20 20'%3e%3cpath stroke='%236b7280' stroke-linecap='round' stroke-linejoin='round' stroke-width='1.5' d='m6 8 4 4 4-4'/%3e%3c/svg%3e");
+            background-position: right 12px center;
+            background-repeat: no-repeat;
+            background-size: 16px;
+            padding-right: 40px;
+            appearance: none;
+        }
+
+        .form-row {
+            display: grid;
+            grid-template-columns: 1fr 1fr;
+            gap: 16px;
+        }
+
+        /* Generate Button */
+        .generate-btn {
+            width: 100%;
+            padding: 16px 24px;
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: white;
+            border: none;
+            border-radius: 12px;
+            font-size: 1.1rem;
+            font-weight: 600;
+            cursor: pointer;
+            transition: all 0.3s ease;
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            gap: 12px;
+            margin-top: 8px;
+        }
+
+        .generate-btn:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 12px 24px rgba(102, 126, 234, 0.3);
+        }
+
+        .generate-btn:active {
+            transform: translateY(0);
+        }
+
+        .generate-btn:disabled {
+            opacity: 0.6;
+            cursor: not-allowed;
+            transform: none;
+        }
+
+        /* Results Panel */
+        .results-panel {
+            background: white;
+            border-radius: 16px;
+            padding: 32px;
+            box-shadow: 0 20px 40px rgba(0, 0, 0, 0.1);
+            min-height: 400px;
+            display: flex;
+            flex-direction: column;
+        }
+
+        .results-header {
+            display: flex;
+            align-items: center;
+            justify-content: space-between;
+            margin-bottom: 24px;
+        }
+
+        .results-title {
+            font-size: 1.5rem;
+            font-weight: 600;
+            color: #2d3748;
+            display: flex;
+            align-items: center;
+            gap: 12px;
+        }
+
+        .results-count {
+            background: #667eea;
+            color: white;
+            padding: 4px 12px;
+            border-radius: 20px;
+            font-size: 0.875rem;
+            font-weight: 600;
+        }
+
+        /* Gallery */
+        .gallery {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+            gap: 20px;
+            flex: 1;
+        }
+
+        .gallery-item {
+            position: relative;
+            border-radius: 12px;
+            overflow: hidden;
+            background: #f8fafc;
+            aspect-ratio: 1;
+            cursor: pointer;
+            transition: all 0.3s ease;
+        }
+
+        .gallery-item:hover {
+            transform: translateY(-4px);
+            box-shadow: 0 12px 24px rgba(0, 0, 0, 0.15);
+        }
+
+        .gallery-item img {
+            width: 100%;
+            height: 100%;
+            object-fit: cover;
+            transition: transform 0.3s ease;
+        }
+
+        .gallery-item:hover img {
+            transform: scale(1.05);
+        }
+
+        .gallery-overlay {
+            position: absolute;
+            top: 0;
+            left: 0;
+            right: 0;
+            bottom: 0;
+            background: linear-gradient(to bottom, transparent, rgba(0, 0, 0, 0.7));
+            opacity: 0;
+            transition: opacity 0.3s ease;
+            display: flex;
+            align-items: flex-end;
+            padding: 16px;
+        }
+
+        .gallery-item:hover .gallery-overlay {
+            opacity: 1;
+        }
+
+        .gallery-actions {
+            display: flex;
+            gap: 8px;
+        }
+
+        .gallery-action {
+            background: rgba(255, 255, 255, 0.2);
+            backdrop-filter: blur(10px);
+            border: none;
+            color: white;
+            padding: 8px;
+            border-radius: 8px;
+            cursor: pointer;
+            transition: all 0.3s ease;
+        }
+
+        .gallery-action:hover {
+            background: rgba(255, 255, 255, 0.3);
+        }
+
+        /* Empty State */
+        .empty-state {
+            display: flex;
+            flex-direction: column;
+            align-items: center;
+            justify-content: center;
+            flex: 1;
+            color: #a0aec0;
+            text-align: center;
+        }
+
+        .empty-state i {
+            font-size: 4rem;
+            margin-bottom: 16px;
+            opacity: 0.5;
+        }
+
+        .empty-state h3 {
+            font-size: 1.25rem;
+            margin-bottom: 8px;
+            color: #718096;
+        }
+
+        .empty-state p {
+            font-size: 0.875rem;
+        }
+
+        /* Loading State */
+        .loading {
+            display: flex;
+            flex-direction: column;
+            align-items: center;
+            justify-content: center;
+            flex: 1;
+            color: #667eea;
+        }
+
+        .loading-spinner {
+            width: 40px;
+            height: 40px;
+            border: 3px solid #e2e8f0;
+            border-top: 3px solid #667eea;
+            border-radius: 50%;
+            animation: spin 1s linear infinite;
+            margin-bottom: 16px;
+        }
+
+        @keyframes spin {
+            0% { transform: rotate(0deg); }
+            100% { transform: rotate(360deg); }
+        }
+
+        /* Error Message */
+        .error-message {
+            background: #fed7d7;
+            color: #c53030;
+            padding: 12px 16px;
+            border-radius: 8px;
+            margin-bottom: 16px;
+            border: 1px solid #feb2b2;
+            display: flex;
+            align-items: center;
+            gap: 8px;
+        }
+
+        /* Responsive Design */
+        @media (max-width: 768px) {
+            .content-grid {
+                grid-template-columns: 1fr;
+                gap: 20px;
+            }
+
+            .header h1 {
+                font-size: 2rem;
+            }
+
+            .control-panel, .results-panel {
+                padding: 24px;
+            }
+
+            .form-row {
+                grid-template-columns: 1fr;
+            }
+
+            .gallery {
+                grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
+                gap: 16px;
+            }
+        }
+
+        /* Additional Professional Touches */
+        .badge {
+            display: inline-flex;
+            align-items: center;
+            padding: 4px 8px;
+            background: #edf2f7;
+            color: #4a5568;
+            border-radius: 6px;
+            font-size: 0.75rem;
+            font-weight: 600;
+            text-transform: uppercase;
+            letter-spacing: 0.5px;
+        }
+
+        .divider {
+            height: 1px;
+            background: #e2e8f0;
+            margin: 24px 0;
+        }
+    </style>
+</head>
+<body>
+    <div class="main-container">
+        <!-- Header -->
+        <div class="header">
+            <h1>AI Image Studio</h1>
+            <p class="subtitle">Transform your ideas into stunning visuals with advanced AI technology</p>
+        </div>
+
+        <!-- Main Content -->
+        <div class="content-grid">
+            <!-- Control Panel -->
+            <div class="control-panel">
+                <h2 class="panel-title">
+                    <i class="fas fa-magic"></i>
+                    Generate Images
+                </h2>
+
+                <form id="generate-form">
+                    <div class="form-group">
+                        <label class="form-label" for="prompt">
+                            <i class="fas fa-pen"></i> Prompt Description
+                        </label>
+                        <textarea 
+                            id="prompt" 
+                            name="prompt" 
+                            class="form-textarea" 
+                            required 
+                            placeholder="Describe the image you want to create... (e.g., A serene landscape with mountains at sunset, digital art style)"
+                        ></textarea>
+                    </div>
+
+                    <div class="form-row">
+                        <div class="form-group">
+                            <label class="form-label" for="num_images">
+                                <i class="fas fa-images"></i> Quantity
+                            </label>
+                            <select id="num_images" name="num_images" class="form-select">
+                                <option value="1">1 Image</option>
+                                <option value="2">2 Images</option>
+                                <option value="3">3 Images</option>
+                                <option value="4">4 Images</option>
+                                <option value="5">5 Images</option>
+                            </select>
+                        </div>
+
+                        <div class="form-group">
+                            <label class="form-label" for="aspect_ratio">
+                                <i class="fas fa-expand-arrows-alt"></i> Aspect Ratio
+                            </label>
+                            <select id="aspect_ratio" name="aspect_ratio" class="form-select">
+                                <option value="1:1">1:1 Square</option>
+                                <option value="4:3">4:3 Standard</option>
+                                <option value="16:9">16:9 Widescreen</option>
+                            </select>
+                        </div>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label" for="model">
+                            <i class="fas fa-brain"></i> AI Model
+                        </label>
+                        <select id="model" name="model" class="form-select">
+                            <option value="stable_diffusion">Stable Diffusion</option>
+                            <option value="locked_model" disabled>Premium Model (Coming Soon)</option>
+                        </select>
+                    </div>
+
+                    <div class="divider"></div>
+
+                    <button type="submit" class="generate-btn">
+                        <i class="fas fa-rocket"></i>
+                        Generate Images
+                    </button>
+                </form>
+
+                <div id="error-message"></div>
+            </div>
+
+            <!-- Results Panel -->
+            <div class="results-panel">
+                <div class="results-header">
+                    <h2 class="results-title">
+                        <i class="fas fa-images"></i>
+                        Generated Images
+                    </h2>
+                    <div class="results-count" id="results-count" style="display: none;">0</div>
+                </div>
+
+                <div id="gallery-content">
+                    <div class="empty-state">
+                        <i class="fas fa-image"></i>
+                        <h3>Ready to Create</h3>
+                        <p>Enter a prompt and click generate to see your AI-created images appear here</p>
+                    </div>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <script>
+        document.getElementById("generate-form").addEventListener("submit", async (e) => {
+            e.preventDefault();
+            
+            const formData = new FormData(e.target);
+            const errorDiv = document.getElementById("error-message");
+            const galleryContent = document.getElementById("gallery-content");
+            const resultsCount = document.getElementById("results-count");
+            const generateBtn = document.querySelector(".generate-btn");
+            
+            // Clear previous state
+            errorDiv.innerHTML = "";
+            resultsCount.style.display = "none";
+            
+            // Show loading state
+            generateBtn.disabled = true;
+            generateBtn.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Generating...';
+            
+            galleryContent.innerHTML = `
+                <div class="loading">
+                    <div class="loading-spinner"></div>
+                    <h3>Creating your images...</h3>
+                    <p>This may take a few moments</p>
+                </div>
+            `;
+
+            try {
+                const response = await fetch("/generate", {
+                    method: "POST",
+                    body: formData
+                });
+                const data = await response.json();
+
+                if (data.error) {
+                    errorDiv.innerHTML = `
+                        <div class="error-message">
+                            <i class="fas fa-exclamation-triangle"></i>
+                            ${data.error}
+                        </div>
+                    `;
+                    galleryContent.innerHTML = `
+                        <div class="empty-state">
+                            <i class="fas fa-exclamation-triangle"></i>
+                            <h3>Generation Failed</h3>
+                            <p>Please check your prompt and try again</p>
+                        </div>
+                    `;
+                } else {
+                    // Show results
+                    const gallery = document.createElement("div");
+                    gallery.className = "gallery";
+                    
+                    data.images.forEach((imgPath, index) => {
+                        const galleryItem = document.createElement("div");
+                        galleryItem.className = "gallery-item";
+                        galleryItem.innerHTML = `
+                            <img src="/${imgPath}" alt="Generated Image ${index + 1}" loading="lazy">
+                            <div class="gallery-overlay">
+                                <div class="gallery-actions">
+                                    <button class="gallery-action" onclick="downloadImage('/${imgPath}')" title="Download">
+                                        <i class="fas fa-download"></i>
+                                    </button>
+                                </div>
+                            </div>
+                        `;
+                        gallery.appendChild(galleryItem);
+                    });
+                    
+                    galleryContent.innerHTML = "";
+                    galleryContent.appendChild(gallery);
+                    
+                    // Update results count
+                    resultsCount.textContent = data.images.length;
+                    resultsCount.style.display = "block";
+                }
+            } catch (err) {
+                errorDiv.innerHTML = `
+                    <div class="error-message">
+                        <i class="fas fa-exclamation-triangle"></i>
+                        Network error occurred. Please check your connection and try again.
+                    </div>
+                `;
+                galleryContent.innerHTML = `
+                    <div class="empty-state">
+                        <i class="fas fa-wifi"></i>
+                        <h3>Connection Error</h3>
+                        <p>Please check your internet connection and try again</p>
+                    </div>
+                `;
+            } finally {
+                // Reset button
+                generateBtn.disabled = false;
+                generateBtn.innerHTML = '<i class="fas fa-rocket"></i> Generate Images';
+            }
+        });
+
+        // Download function
+        function downloadImage(src) {
+            const link = document.createElement('a');
+            link.href = src;
+            link.download = `ai-generated-image-${Date.now()}.png`;
+            document.body.appendChild(link);
+            link.click();
+            document.body.removeChild(link);
+        }
+
+        // Add some interactive polish
+        document.addEventListener('DOMContentLoaded', function() {
+            // Add subtle animation to form elements
+            const formElements = document.querySelectorAll('.form-input, .form-select, .form-textarea');
+            formElements.forEach(element => {
+                element.addEventListener('focus', function() {
+                    this.parentElement.style.transform = 'translateY(-2px)';
+                });
+                element.addEventListener('blur', function() {
+                    this.parentElement.style.transform = 'translateY(0)';
+                });
+            });
+        });
+    </script>
+</body>
+</html>

venv/Lib/site-packages/MarkupSafe-3.0.2.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/Lib/site-packages/MarkupSafe-3.0.2.dist-info/LICENSE.txt

@@ -0,0 +1,28 @@
+Copyright 2010 Pallets
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+1.  Redistributions of source code must retain the above copyright
+    notice, this list of conditions and the following disclaimer.
+
+2.  Redistributions in binary form must reproduce the above copyright
+    notice, this list of conditions and the following disclaimer in the
+    documentation and/or other materials provided with the distribution.
+
+3.  Neither the name of the copyright holder nor the names of its
+    contributors may be used to endorse or promote products derived from
+    this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
+PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

venv/Lib/site-packages/MarkupSafe-3.0.2.dist-info/METADATA

@@ -0,0 +1,92 @@
+Metadata-Version: 2.1
+Name: MarkupSafe
+Version: 3.0.2
+Summary: Safely add untrusted strings to HTML/XML markup.
+Maintainer-email: Pallets <contact@palletsprojects.com>
+License: Copyright 2010 Pallets
+        
+        Redistribution and use in source and binary forms, with or without
+        modification, are permitted provided that the following conditions are
+        met:
+        
+        1.  Redistributions of source code must retain the above copyright
+            notice, this list of conditions and the following disclaimer.
+        
+        2.  Redistributions in binary form must reproduce the above copyright
+            notice, this list of conditions and the following disclaimer in the
+            documentation and/or other materials provided with the distribution.
+        
+        3.  Neither the name of the copyright holder nor the names of its
+            contributors may be used to endorse or promote products derived from
+            this software without specific prior written permission.
+        
+        THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+        "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+        LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
+        PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+        HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+        SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+        TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+        PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+        LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+        NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+        SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+        
+Project-URL: Donate, https://palletsprojects.com/donate
+Project-URL: Documentation, https://markupsafe.palletsprojects.com/
+Project-URL: Changes, https://markupsafe.palletsprojects.com/changes/
+Project-URL: Source, https://github.com/pallets/markupsafe/
+Project-URL: Chat, https://discord.gg/pallets
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Environment :: Web Environment
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python
+Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
+Classifier: Topic :: Text Processing :: Markup :: HTML
+Classifier: Typing :: Typed
+Requires-Python: >=3.9
+Description-Content-Type: text/markdown
+License-File: LICENSE.txt
+
+# MarkupSafe
+
+MarkupSafe implements a text object that escapes characters so it is
+safe to use in HTML and XML. Characters that have special meanings are
+replaced so that they display as the actual characters. This mitigates
+injection attacks, meaning untrusted user input can safely be displayed
+on a page.
+
+
+## Examples
+
+```pycon
+>>> from markupsafe import Markup, escape
+
+>>> # escape replaces special characters and wraps in Markup
+>>> escape("<script>alert(document.cookie);</script>")
+Markup('&lt;script&gt;alert(document.cookie);&lt;/script&gt;')
+
+>>> # wrap in Markup to mark text "safe" and prevent escaping
+>>> Markup("<strong>Hello</strong>")
+Markup('<strong>hello</strong>')
+
+>>> escape(Markup("<strong>Hello</strong>"))
+Markup('<strong>hello</strong>')
+
+>>> # Markup is a str subclass
+>>> # methods and operators escape their arguments
+>>> template = Markup("Hello <em>{name}</em>")
+>>> template.format(name='"World"')
+Markup('Hello <em>&#34;World&#34;</em>')
+```
+
+## Donate
+
+The Pallets organization develops and supports MarkupSafe and other
+popular packages. In order to grow the community of contributors and
+users, and allow the maintainers to devote more time to the projects,
+[please donate today][].
+
+[please donate today]: https://palletsprojects.com/donate

venv/Lib/site-packages/MarkupSafe-3.0.2.dist-info/RECORD

@@ -0,0 +1,14 @@
+MarkupSafe-3.0.2.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+MarkupSafe-3.0.2.dist-info/LICENSE.txt,sha256=RjHsDbX9kKVH4zaBcmTGeYIUM4FG-KyUtKV_lu6MnsQ,1503
+MarkupSafe-3.0.2.dist-info/METADATA,sha256=nhoabjupBG41j_JxPCJ3ylgrZ6Fx8oMCFbiLF9Kafqc,4067
+MarkupSafe-3.0.2.dist-info/RECORD,,
+MarkupSafe-3.0.2.dist-info/WHEEL,sha256=IqiWNwTSPPvorR7mTezuRY2eqj__44JKKkjOiewDX64,101
+MarkupSafe-3.0.2.dist-info/top_level.txt,sha256=qy0Plje5IJuvsCBjejJyhDCjEAdcDLK_2agVcex8Z6U,11
+markupsafe/__init__.py,sha256=pREerPwvinB62tNCMOwqxBS2YHV6R52Wcq1d-rB4Z5o,13609
+markupsafe/__pycache__/__init__.cpython-310.pyc,,
+markupsafe/__pycache__/_native.cpython-310.pyc,,
+markupsafe/_native.py,sha256=2ptkJ40yCcp9kq3L1NqpgjfpZB-obniYKFFKUOkHh4Q,218
+markupsafe/_speedups.c,sha256=SglUjn40ti9YgQAO--OgkSyv9tXq9vvaHyVhQows4Ok,4353
+markupsafe/_speedups.cp310-win_amd64.pyd,sha256=RTvh-UzJTX7J_4j-A5jZmnqwRKBe0pQiDPd_j60jft8,13312
+markupsafe/_speedups.pyi,sha256=LSDmXYOefH4HVpAXuL8sl7AttLw0oXh1njVoVZp2wqQ,42
+markupsafe/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0

venv/Lib/site-packages/MarkupSafe-3.0.2.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: setuptools (75.2.0)
+Root-Is-Purelib: false
+Tag: cp310-cp310-win_amd64
+

venv/Lib/site-packages/MarkupSafe-3.0.2.dist-info/top_level.txt

@@ -0,0 +1 @@
+markupsafe

venv/Lib/site-packages/PIL/AvifImagePlugin.py

@@ -0,0 +1,292 @@
+from __future__ import annotations
+
+import os
+from io import BytesIO
+from typing import IO
+
+from . import ExifTags, Image, ImageFile
+
+try:
+    from . import _avif
+
+    SUPPORTED = True
+except ImportError:
+    SUPPORTED = False
+
+# Decoder options as module globals, until there is a way to pass parameters
+# to Image.open (see https://github.com/python-pillow/Pillow/issues/569)
+DECODE_CODEC_CHOICE = "auto"
+# Decoding is only affected by this for libavif **0.8.4** or greater.
+DEFAULT_MAX_THREADS = 0
+
+
+def get_codec_version(codec_name: str) -> str | None:
+    versions = _avif.codec_versions()
+    for version in versions.split(", "):
+        if version.split(" [")[0] == codec_name:
+            return version.split(":")[-1].split(" ")[0]
+    return None
+
+
+def _accept(prefix: bytes) -> bool | str:
+    if prefix[4:8] != b"ftyp":
+        return False
+    major_brand = prefix[8:12]
+    if major_brand in (
+        # coding brands
+        b"avif",
+        b"avis",
+        # We accept files with AVIF container brands; we can't yet know if
+        # the ftyp box has the correct compatible brands, but if it doesn't
+        # then the plugin will raise a SyntaxError which Pillow will catch
+        # before moving on to the next plugin that accepts the file.
+        #
+        # Also, because this file might not actually be an AVIF file, we
+        # don't raise an error if AVIF support isn't properly compiled.
+        b"mif1",
+        b"msf1",
+    ):
+        if not SUPPORTED:
+            return (
+                "image file could not be identified because AVIF support not installed"
+            )
+        return True
+    return False
+
+
+def _get_default_max_threads() -> int:
+    if DEFAULT_MAX_THREADS:
+        return DEFAULT_MAX_THREADS
+    if hasattr(os, "sched_getaffinity"):
+        return len(os.sched_getaffinity(0))
+    else:
+        return os.cpu_count() or 1
+
+
+class AvifImageFile(ImageFile.ImageFile):
+    format = "AVIF"
+    format_description = "AVIF image"
+    __frame = -1
+
+    def _open(self) -> None:
+        if not SUPPORTED:
+            msg = "image file could not be opened because AVIF support not installed"
+            raise SyntaxError(msg)
+
+        if DECODE_CODEC_CHOICE != "auto" and not _avif.decoder_codec_available(
+            DECODE_CODEC_CHOICE
+        ):
+            msg = "Invalid opening codec"
+            raise ValueError(msg)
+        self._decoder = _avif.AvifDecoder(
+            self.fp.read(),
+            DECODE_CODEC_CHOICE,
+            _get_default_max_threads(),
+        )
+
+        # Get info from decoder
+        self._size, self.n_frames, self._mode, icc, exif, exif_orientation, xmp = (
+            self._decoder.get_info()
+        )
+        self.is_animated = self.n_frames > 1
+
+        if icc:
+            self.info["icc_profile"] = icc
+        if xmp:
+            self.info["xmp"] = xmp
+
+        if exif_orientation != 1 or exif:
+            exif_data = Image.Exif()
+            if exif:
+                exif_data.load(exif)
+                original_orientation = exif_data.get(ExifTags.Base.Orientation, 1)
+            else:
+                original_orientation = 1
+            if exif_orientation != original_orientation:
+                exif_data[ExifTags.Base.Orientation] = exif_orientation
+                exif = exif_data.tobytes()
+        if exif:
+            self.info["exif"] = exif
+        self.seek(0)
+
+    def seek(self, frame: int) -> None:
+        if not self._seek_check(frame):
+            return
+
+        # Set tile
+        self.__frame = frame
+        self.tile = [ImageFile._Tile("raw", (0, 0) + self.size, 0, self.mode)]
+
+    def load(self) -> Image.core.PixelAccess | None:
+        if self.tile:
+            # We need to load the image data for this frame
+            data, timescale, pts_in_timescales, duration_in_timescales = (
+                self._decoder.get_frame(self.__frame)
+            )
+            self.info["timestamp"] = round(1000 * (pts_in_timescales / timescale))
+            self.info["duration"] = round(1000 * (duration_in_timescales / timescale))
+
+            if self.fp and self._exclusive_fp:
+                self.fp.close()
+            self.fp = BytesIO(data)
+
+        return super().load()
+
+    def load_seek(self, pos: int) -> None:
+        pass
+
+    def tell(self) -> int:
+        return self.__frame
+
+
+def _save_all(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
+    _save(im, fp, filename, save_all=True)
+
+
+def _save(
+    im: Image.Image, fp: IO[bytes], filename: str | bytes, save_all: bool = False
+) -> None:
+    info = im.encoderinfo.copy()
+    if save_all:
+        append_images = list(info.get("append_images", []))
+    else:
+        append_images = []
+
+    total = 0
+    for ims in [im] + append_images:
+        total += getattr(ims, "n_frames", 1)
+
+    quality = info.get("quality", 75)
+    if not isinstance(quality, int) or quality < 0 or quality > 100:
+        msg = "Invalid quality setting"
+        raise ValueError(msg)
+
+    duration = info.get("duration", 0)
+    subsampling = info.get("subsampling", "4:2:0")
+    speed = info.get("speed", 6)
+    max_threads = info.get("max_threads", _get_default_max_threads())
+    codec = info.get("codec", "auto")
+    if codec != "auto" and not _avif.encoder_codec_available(codec):
+        msg = "Invalid saving codec"
+        raise ValueError(msg)
+    range_ = info.get("range", "full")
+    tile_rows_log2 = info.get("tile_rows", 0)
+    tile_cols_log2 = info.get("tile_cols", 0)
+    alpha_premultiplied = bool(info.get("alpha_premultiplied", False))
+    autotiling = bool(info.get("autotiling", tile_rows_log2 == tile_cols_log2 == 0))
+
+    icc_profile = info.get("icc_profile", im.info.get("icc_profile"))
+    exif_orientation = 1
+    if exif := info.get("exif"):
+        if isinstance(exif, Image.Exif):
+            exif_data = exif
+        else:
+            exif_data = Image.Exif()
+            exif_data.load(exif)
+        if ExifTags.Base.Orientation in exif_data:
+            exif_orientation = exif_data.pop(ExifTags.Base.Orientation)
+            exif = exif_data.tobytes() if exif_data else b""
+        elif isinstance(exif, Image.Exif):
+            exif = exif_data.tobytes()
+
+    xmp = info.get("xmp")
+
+    if isinstance(xmp, str):
+        xmp = xmp.encode("utf-8")
+
+    advanced = info.get("advanced")
+    if advanced is not None:
+        if isinstance(advanced, dict):
+            advanced = advanced.items()
+        try:
+            advanced = tuple(advanced)
+        except TypeError:
+            invalid = True
+        else:
+            invalid = any(not isinstance(v, tuple) or len(v) != 2 for v in advanced)
+        if invalid:
+            msg = (
+                "advanced codec options must be a dict of key-value string "
+                "pairs or a series of key-value two-tuples"
+            )
+            raise ValueError(msg)
+
+    # Setup the AVIF encoder
+    enc = _avif.AvifEncoder(
+        im.size,
+        subsampling,
+        quality,
+        speed,
+        max_threads,
+        codec,
+        range_,
+        tile_rows_log2,
+        tile_cols_log2,
+        alpha_premultiplied,
+        autotiling,
+        icc_profile or b"",
+        exif or b"",
+        exif_orientation,
+        xmp or b"",
+        advanced,
+    )
+
+    # Add each frame
+    frame_idx = 0
+    frame_duration = 0
+    cur_idx = im.tell()
+    is_single_frame = total == 1
+    try:
+        for ims in [im] + append_images:
+            # Get number of frames in this image
+            nfr = getattr(ims, "n_frames", 1)
+
+            for idx in range(nfr):
+                ims.seek(idx)
+
+                # Make sure image mode is supported
+                frame = ims
+                rawmode = ims.mode
+                if ims.mode not in {"RGB", "RGBA"}:
+                    rawmode = "RGBA" if ims.has_transparency_data else "RGB"
+                    frame = ims.convert(rawmode)
+
+                # Update frame duration
+                if isinstance(duration, (list, tuple)):
+                    frame_duration = duration[frame_idx]
+                else:
+                    frame_duration = duration
+
+                # Append the frame to the animation encoder
+                enc.add(
+                    frame.tobytes("raw", rawmode),
+                    frame_duration,
+                    frame.size,
+                    rawmode,
+                    is_single_frame,
+                )
+
+                # Update frame index
+                frame_idx += 1
+
+                if not save_all:
+                    break
+
+    finally:
+        im.seek(cur_idx)
+
+    # Get the final output from the encoder
+    data = enc.finish()
+    if data is None:
+        msg = "cannot write file as AVIF (encoder returned None)"
+        raise OSError(msg)
+
+    fp.write(data)
+
+
+Image.register_open(AvifImageFile.format, AvifImageFile, _accept)
+if SUPPORTED:
+    Image.register_save(AvifImageFile.format, _save)
+    Image.register_save_all(AvifImageFile.format, _save_all)
+    Image.register_extensions(AvifImageFile.format, [".avif", ".avifs"])
+    Image.register_mime(AvifImageFile.format, "image/avif")

venv/Lib/site-packages/PIL/BdfFontFile.py

@@ -0,0 +1,122 @@
+#
+# The Python Imaging Library
+# $Id$
+#
+# bitmap distribution font (bdf) file parser
+#
+# history:
+# 1996-05-16 fl   created (as bdf2pil)
+# 1997-08-25 fl   converted to FontFile driver
+# 2001-05-25 fl   removed bogus __init__ call
+# 2002-11-20 fl   robustification (from Kevin Cazabon, Dmitry Vasiliev)
+# 2003-04-22 fl   more robustification (from Graham Dumpleton)
+#
+# Copyright (c) 1997-2003 by Secret Labs AB.
+# Copyright (c) 1997-2003 by Fredrik Lundh.
+#
+# See the README file for information on usage and redistribution.
+#
+
+"""
+Parse X Bitmap Distribution Format (BDF)
+"""
+from __future__ import annotations
+
+from typing import BinaryIO
+
+from . import FontFile, Image
+
+
+def bdf_char(
+    f: BinaryIO,
+) -> (
+    tuple[
+        str,
+        int,
+        tuple[tuple[int, int], tuple[int, int, int, int], tuple[int, int, int, int]],
+        Image.Image,
+    ]
+    | None
+):
+    # skip to STARTCHAR
+    while True:
+        s = f.readline()
+        if not s:
+            return None
+        if s.startswith(b"STARTCHAR"):
+            break
+    id = s[9:].strip().decode("ascii")
+
+    # load symbol properties
+    props = {}
+    while True:
+        s = f.readline()
+        if not s or s.startswith(b"BITMAP"):
+            break
+        i = s.find(b" ")
+        props[s[:i].decode("ascii")] = s[i + 1 : -1].decode("ascii")
+
+    # load bitmap
+    bitmap = bytearray()
+    while True:
+        s = f.readline()
+        if not s or s.startswith(b"ENDCHAR"):
+            break
+        bitmap += s[:-1]
+
+    # The word BBX
+    # followed by the width in x (BBw), height in y (BBh),
+    # and x and y displacement (BBxoff0, BByoff0)
+    # of the lower left corner from the origin of the character.
+    width, height, x_disp, y_disp = (int(p) for p in props["BBX"].split())
+
+    # The word DWIDTH
+    # followed by the width in x and y of the character in device pixels.
+    dwx, dwy = (int(p) for p in props["DWIDTH"].split())
+
+    bbox = (
+        (dwx, dwy),
+        (x_disp, -y_disp - height, width + x_disp, -y_disp),
+        (0, 0, width, height),
+    )
+
+    try:
+        im = Image.frombytes("1", (width, height), bitmap, "hex", "1")
+    except ValueError:
+        # deal with zero-width characters
+        im = Image.new("1", (width, height))
+
+    return id, int(props["ENCODING"]), bbox, im
+
+
+class BdfFontFile(FontFile.FontFile):
+    """Font file plugin for the X11 BDF format."""
+
+    def __init__(self, fp: BinaryIO) -> None:
+        super().__init__()
+
+        s = fp.readline()
+        if not s.startswith(b"STARTFONT 2.1"):
+            msg = "not a valid BDF file"
+            raise SyntaxError(msg)
+
+        props = {}
+        comments = []
+
+        while True:
+            s = fp.readline()
+            if not s or s.startswith(b"ENDPROPERTIES"):
+                break
+            i = s.find(b" ")
+            props[s[:i].decode("ascii")] = s[i + 1 : -1].decode("ascii")
+            if s[:i] in [b"COMMENT", b"COPYRIGHT"]:
+                if s.find(b"LogicalFontDescription") < 0:
+                    comments.append(s[i + 1 : -1].decode("ascii"))
+
+        while True:
+            c = bdf_char(fp)
+            if not c:
+                break
+            id, ch, (xy, dst, src), im = c
+            if 0 <= ch < len(self.glyph):
+                self.glyph[ch] = xy, dst, src, im

venv/Lib/site-packages/PIL/BlpImagePlugin.py

@@ -0,0 +1,497 @@
+"""
+Blizzard Mipmap Format (.blp)
+Jerome Leclanche <jerome@leclan.ch>
+
+The contents of this file are hereby released in the public domain (CC0)
+Full text of the CC0 license:
+  https://creativecommons.org/publicdomain/zero/1.0/
+
+BLP1 files, used mostly in Warcraft III, are not fully supported.
+All types of BLP2 files used in World of Warcraft are supported.
+
+The BLP file structure consists of a header, up to 16 mipmaps of the
+texture
+
+Texture sizes must be powers of two, though the two dimensions do
+not have to be equal; 512x256 is valid, but 512x200 is not.
+The first mipmap (mipmap #0) is the full size image; each subsequent
+mipmap halves both dimensions. The final mipmap should be 1x1.
+
+BLP files come in many different flavours:
+* JPEG-compressed (type == 0) - only supported for BLP1.
+* RAW images (type == 1, encoding == 1). Each mipmap is stored as an
+  array of 8-bit values, one per pixel, left to right, top to bottom.
+  Each value is an index to the palette.
+* DXT-compressed (type == 1, encoding == 2):
+- DXT1 compression is used if alpha_encoding == 0.
+  - An additional alpha bit is used if alpha_depth == 1.
+  - DXT3 compression is used if alpha_encoding == 1.
+  - DXT5 compression is used if alpha_encoding == 7.
+"""
+
+from __future__ import annotations
+
+import abc
+import os
+import struct
+from enum import IntEnum
+from io import BytesIO
+from typing import IO
+
+from . import Image, ImageFile
+
+
+class Format(IntEnum):
+    JPEG = 0
+
+
+class Encoding(IntEnum):
+    UNCOMPRESSED = 1
+    DXT = 2
+    UNCOMPRESSED_RAW_BGRA = 3
+
+
+class AlphaEncoding(IntEnum):
+    DXT1 = 0
+    DXT3 = 1
+    DXT5 = 7
+
+
+def unpack_565(i: int) -> tuple[int, int, int]:
+    return ((i >> 11) & 0x1F) << 3, ((i >> 5) & 0x3F) << 2, (i & 0x1F) << 3
+
+
+def decode_dxt1(
+    data: bytes, alpha: bool = False
+) -> tuple[bytearray, bytearray, bytearray, bytearray]:
+    """
+    input: one "row" of data (i.e. will produce 4*width pixels)
+    """
+
+    blocks = len(data) // 8  # number of blocks in row
+    ret = (bytearray(), bytearray(), bytearray(), bytearray())
+
+    for block_index in range(blocks):
+        # Decode next 8-byte block.
+        idx = block_index * 8
+        color0, color1, bits = struct.unpack_from("<HHI", data, idx)
+
+        r0, g0, b0 = unpack_565(color0)
+        r1, g1, b1 = unpack_565(color1)
+
+        # Decode this block into 4x4 pixels
+        # Accumulate the results onto our 4 row accumulators
+        for j in range(4):
+            for i in range(4):
+                # get next control op and generate a pixel
+
+                control = bits & 3
+                bits = bits >> 2
+
+                a = 0xFF
+                if control == 0:
+                    r, g, b = r0, g0, b0
+                elif control == 1:
+                    r, g, b = r1, g1, b1
+                elif control == 2:
+                    if color0 > color1:
+                        r = (2 * r0 + r1) // 3
+                        g = (2 * g0 + g1) // 3
+                        b = (2 * b0 + b1) // 3
+                    else:
+                        r = (r0 + r1) // 2
+                        g = (g0 + g1) // 2
+                        b = (b0 + b1) // 2
+                elif control == 3:
+                    if color0 > color1:
+                        r = (2 * r1 + r0) // 3
+                        g = (2 * g1 + g0) // 3
+                        b = (2 * b1 + b0) // 3
+                    else:
+                        r, g, b, a = 0, 0, 0, 0
+
+                if alpha:
+                    ret[j].extend([r, g, b, a])
+                else:
+                    ret[j].extend([r, g, b])
+
+    return ret
+
+
+def decode_dxt3(data: bytes) -> tuple[bytearray, bytearray, bytearray, bytearray]:
+    """
+    input: one "row" of data (i.e. will produce 4*width pixels)
+    """
+
+    blocks = len(data) // 16  # number of blocks in row
+    ret = (bytearray(), bytearray(), bytearray(), bytearray())
+
+    for block_index in range(blocks):
+        idx = block_index * 16
+        block = data[idx : idx + 16]
+        # Decode next 16-byte block.
+        bits = struct.unpack_from("<8B", block)
+        color0, color1 = struct.unpack_from("<HH", block, 8)
+
+        (code,) = struct.unpack_from("<I", block, 12)
+
+        r0, g0, b0 = unpack_565(color0)
+        r1, g1, b1 = unpack_565(color1)
+
+        for j in range(4):
+            high = False  # Do we want the higher bits?
+            for i in range(4):
+                alphacode_index = (4 * j + i) // 2
+                a = bits[alphacode_index]
+                if high:
+                    high = False
+                    a >>= 4
+                else:
+                    high = True
+                    a &= 0xF
+                a *= 17  # We get a value between 0 and 15
+
+                color_code = (code >> 2 * (4 * j + i)) & 0x03
+
+                if color_code == 0:
+                    r, g, b = r0, g0, b0
+                elif color_code == 1:
+                    r, g, b = r1, g1, b1
+                elif color_code == 2:
+                    r = (2 * r0 + r1) // 3
+                    g = (2 * g0 + g1) // 3
+                    b = (2 * b0 + b1) // 3
+                elif color_code == 3:
+                    r = (2 * r1 + r0) // 3
+                    g = (2 * g1 + g0) // 3
+                    b = (2 * b1 + b0) // 3
+
+                ret[j].extend([r, g, b, a])
+
+    return ret
+
+
+def decode_dxt5(data: bytes) -> tuple[bytearray, bytearray, bytearray, bytearray]:
+    """
+    input: one "row" of data (i.e. will produce 4 * width pixels)
+    """
+
+    blocks = len(data) // 16  # number of blocks in row
+    ret = (bytearray(), bytearray(), bytearray(), bytearray())
+
+    for block_index in range(blocks):
+        idx = block_index * 16
+        block = data[idx : idx + 16]
+        # Decode next 16-byte block.
+        a0, a1 = struct.unpack_from("<BB", block)
+
+        bits = struct.unpack_from("<6B", block, 2)
+        alphacode1 = bits[2] | (bits[3] << 8) | (bits[4] << 16) | (bits[5] << 24)
+        alphacode2 = bits[0] | (bits[1] << 8)
+
+        color0, color1 = struct.unpack_from("<HH", block, 8)
+
+        (code,) = struct.unpack_from("<I", block, 12)
+
+        r0, g0, b0 = unpack_565(color0)
+        r1, g1, b1 = unpack_565(color1)
+
+        for j in range(4):
+            for i in range(4):
+                # get next control op and generate a pixel
+                alphacode_index = 3 * (4 * j + i)
+
+                if alphacode_index <= 12:
+                    alphacode = (alphacode2 >> alphacode_index) & 0x07
+                elif alphacode_index == 15:
+                    alphacode = (alphacode2 >> 15) | ((alphacode1 << 1) & 0x06)
+                else:  # alphacode_index >= 18 and alphacode_index <= 45
+                    alphacode = (alphacode1 >> (alphacode_index - 16)) & 0x07
+
+                if alphacode == 0:
+                    a = a0
+                elif alphacode == 1:
+                    a = a1
+                elif a0 > a1:
+                    a = ((8 - alphacode) * a0 + (alphacode - 1) * a1) // 7
+                elif alphacode == 6:
+                    a = 0
+                elif alphacode == 7:
+                    a = 255
+                else:
+                    a = ((6 - alphacode) * a0 + (alphacode - 1) * a1) // 5
+
+                color_code = (code >> 2 * (4 * j + i)) & 0x03
+
+                if color_code == 0:
+                    r, g, b = r0, g0, b0
+                elif color_code == 1:
+                    r, g, b = r1, g1, b1
+                elif color_code == 2:
+                    r = (2 * r0 + r1) // 3
+                    g = (2 * g0 + g1) // 3
+                    b = (2 * b0 + b1) // 3
+                elif color_code == 3:
+                    r = (2 * r1 + r0) // 3
+                    g = (2 * g1 + g0) // 3
+                    b = (2 * b1 + b0) // 3
+
+                ret[j].extend([r, g, b, a])
+
+    return ret
+
+
+class BLPFormatError(NotImplementedError):
+    pass
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith((b"BLP1", b"BLP2"))
+
+
+class BlpImageFile(ImageFile.ImageFile):
+    """
+    Blizzard Mipmap Format
+    """
+
+    format = "BLP"
+    format_description = "Blizzard Mipmap Format"
+
+    def _open(self) -> None:
+        self.magic = self.fp.read(4)
+        if not _accept(self.magic):
+            msg = f"Bad BLP magic {repr(self.magic)}"
+            raise BLPFormatError(msg)
+
+        compression = struct.unpack("<i", self.fp.read(4))[0]
+        if self.magic == b"BLP1":
+            alpha = struct.unpack("<I", self.fp.read(4))[0] != 0
+        else:
+            encoding = struct.unpack("<b", self.fp.read(1))[0]
+            alpha = struct.unpack("<b", self.fp.read(1))[0] != 0
+            alpha_encoding = struct.unpack("<b", self.fp.read(1))[0]
+            self.fp.seek(1, os.SEEK_CUR)  # mips
+
+        self._size = struct.unpack("<II", self.fp.read(8))
+
+        args: tuple[int, int, bool] | tuple[int, int, bool, int]
+        if self.magic == b"BLP1":
+            encoding = struct.unpack("<i", self.fp.read(4))[0]
+            self.fp.seek(4, os.SEEK_CUR)  # subtype
+
+            args = (compression, encoding, alpha)
+            offset = 28
+        else:
+            args = (compression, encoding, alpha, alpha_encoding)
+            offset = 20
+
+        decoder = self.magic.decode()
+
+        self._mode = "RGBA" if alpha else "RGB"
+        self.tile = [ImageFile._Tile(decoder, (0, 0) + self.size, offset, args)]
+
+
+class _BLPBaseDecoder(abc.ABC, ImageFile.PyDecoder):
+    _pulls_fd = True
+
+    def decode(self, buffer: bytes | Image.SupportsArrayInterface) -> tuple[int, int]:
+        try:
+            self._read_header()
+            self._load()
+        except struct.error as e:
+            msg = "Truncated BLP file"
+            raise OSError(msg) from e
+        return -1, 0
+
+    @abc.abstractmethod
+    def _load(self) -> None:
+        pass
+
+    def _read_header(self) -> None:
+        self._offsets = struct.unpack("<16I", self._safe_read(16 * 4))
+        self._lengths = struct.unpack("<16I", self._safe_read(16 * 4))
+
+    def _safe_read(self, length: int) -> bytes:
+        assert self.fd is not None
+        return ImageFile._safe_read(self.fd, length)
+
+    def _read_palette(self) -> list[tuple[int, int, int, int]]:
+        ret = []
+        for i in range(256):
+            try:
+                b, g, r, a = struct.unpack("<4B", self._safe_read(4))
+            except struct.error:
+                break
+            ret.append((b, g, r, a))
+        return ret
+
+    def _read_bgra(
+        self, palette: list[tuple[int, int, int, int]], alpha: bool
+    ) -> bytearray:
+        data = bytearray()
+        _data = BytesIO(self._safe_read(self._lengths[0]))
+        while True:
+            try:
+                (offset,) = struct.unpack("<B", _data.read(1))
+            except struct.error:
+                break
+            b, g, r, a = palette[offset]
+            d: tuple[int, ...] = (r, g, b)
+            if alpha:
+                d += (a,)
+            data.extend(d)
+        return data
+
+
+class BLP1Decoder(_BLPBaseDecoder):
+    def _load(self) -> None:
+        self._compression, self._encoding, alpha = self.args
+
+        if self._compression == Format.JPEG:
+            self._decode_jpeg_stream()
+
+        elif self._compression == 1:
+            if self._encoding in (4, 5):
+                palette = self._read_palette()
+                data = self._read_bgra(palette, alpha)
+                self.set_as_raw(data)
+            else:
+                msg = f"Unsupported BLP encoding {repr(self._encoding)}"
+                raise BLPFormatError(msg)
+        else:
+            msg = f"Unsupported BLP compression {repr(self._encoding)}"
+            raise BLPFormatError(msg)
+
+    def _decode_jpeg_stream(self) -> None:
+        from .JpegImagePlugin import JpegImageFile
+
+        (jpeg_header_size,) = struct.unpack("<I", self._safe_read(4))
+        jpeg_header = self._safe_read(jpeg_header_size)
+        assert self.fd is not None
+        self._safe_read(self._offsets[0] - self.fd.tell())  # What IS this?
+        data = self._safe_read(self._lengths[0])
+        data = jpeg_header + data
+        image = JpegImageFile(BytesIO(data))
+        Image._decompression_bomb_check(image.size)
+        if image.mode == "CMYK":
+            args = image.tile[0].args
+            assert isinstance(args, tuple)
+            image.tile = [image.tile[0]._replace(args=(args[0], "CMYK"))]
+        self.set_as_raw(image.convert("RGB").tobytes(), "BGR")
+
+
+class BLP2Decoder(_BLPBaseDecoder):
+    def _load(self) -> None:
+        self._compression, self._encoding, alpha, self._alpha_encoding = self.args
+
+        palette = self._read_palette()
+
+        assert self.fd is not None
+        self.fd.seek(self._offsets[0])
+
+        if self._compression == 1:
+            # Uncompressed or DirectX compression
+
+            if self._encoding == Encoding.UNCOMPRESSED:
+                data = self._read_bgra(palette, alpha)
+
+            elif self._encoding == Encoding.DXT:
+                data = bytearray()
+                if self._alpha_encoding == AlphaEncoding.DXT1:
+                    linesize = (self.state.xsize + 3) // 4 * 8
+                    for yb in range((self.state.ysize + 3) // 4):
+                        for d in decode_dxt1(self._safe_read(linesize), alpha):
+                            data += d
+
+                elif self._alpha_encoding == AlphaEncoding.DXT3:
+                    linesize = (self.state.xsize + 3) // 4 * 16
+                    for yb in range((self.state.ysize + 3) // 4):
+                        for d in decode_dxt3(self._safe_read(linesize)):
+                            data += d
+
+                elif self._alpha_encoding == AlphaEncoding.DXT5:
+                    linesize = (self.state.xsize + 3) // 4 * 16
+                    for yb in range((self.state.ysize + 3) // 4):
+                        for d in decode_dxt5(self._safe_read(linesize)):
+                            data += d
+                else:
+                    msg = f"Unsupported alpha encoding {repr(self._alpha_encoding)}"
+                    raise BLPFormatError(msg)
+            else:
+                msg = f"Unknown BLP encoding {repr(self._encoding)}"
+                raise BLPFormatError(msg)
+
+        else:
+            msg = f"Unknown BLP compression {repr(self._compression)}"
+            raise BLPFormatError(msg)
+
+        self.set_as_raw(data)
+
+
+class BLPEncoder(ImageFile.PyEncoder):
+    _pushes_fd = True
+
+    def _write_palette(self) -> bytes:
+        data = b""
+        assert self.im is not None
+        palette = self.im.getpalette("RGBA", "RGBA")
+        for i in range(len(palette) // 4):
+            r, g, b, a = palette[i * 4 : (i + 1) * 4]
+            data += struct.pack("<4B", b, g, r, a)
+        while len(data) < 256 * 4:
+            data += b"\x00" * 4
+        return data
+
+    def encode(self, bufsize: int) -> tuple[int, int, bytes]:
+        palette_data = self._write_palette()
+
+        offset = 20 + 16 * 4 * 2 + len(palette_data)
+        data = struct.pack("<16I", offset, *((0,) * 15))
+
+        assert self.im is not None
+        w, h = self.im.size
+        data += struct.pack("<16I", w * h, *((0,) * 15))
+
+        data += palette_data
+
+        for y in range(h):
+            for x in range(w):
+                data += struct.pack("<B", self.im.getpixel((x, y)))
+
+        return len(data), 0, data
+
+
+def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
+    if im.mode != "P":
+        msg = "Unsupported BLP image mode"
+        raise ValueError(msg)
+
+    magic = b"BLP1" if im.encoderinfo.get("blp_version") == "BLP1" else b"BLP2"
+    fp.write(magic)
+
+    assert im.palette is not None
+    fp.write(struct.pack("<i", 1))  # Uncompressed or DirectX compression
+
+    alpha_depth = 1 if im.palette.mode == "RGBA" else 0
+    if magic == b"BLP1":
+        fp.write(struct.pack("<L", alpha_depth))
+    else:
+        fp.write(struct.pack("<b", Encoding.UNCOMPRESSED))
+        fp.write(struct.pack("<b", alpha_depth))
+        fp.write(struct.pack("<b", 0))  # alpha encoding
+        fp.write(struct.pack("<b", 0))  # mips
+    fp.write(struct.pack("<II", *im.size))
+    if magic == b"BLP1":
+        fp.write(struct.pack("<i", 5))
+        fp.write(struct.pack("<i", 0))
+
+    ImageFile._save(im, fp, [ImageFile._Tile("BLP", (0, 0) + im.size, 0, im.mode)])
+
+
+Image.register_open(BlpImageFile.format, BlpImageFile, _accept)
+Image.register_extension(BlpImageFile.format, ".blp")
+Image.register_decoder("BLP1", BLP1Decoder)
+Image.register_decoder("BLP2", BLP2Decoder)
+
+Image.register_save(BlpImageFile.format, _save)
+Image.register_encoder("BLP", BLPEncoder)

venv/Lib/site-packages/PIL/BmpImagePlugin.py

@@ -0,0 +1,515 @@
+#
+# The Python Imaging Library.
+# $Id$
+#
+# BMP file handler
+#
+# Windows (and OS/2) native bitmap storage format.
+#
+# history:
+# 1995-09-01 fl   Created
+# 1996-04-30 fl   Added save
+# 1997-08-27 fl   Fixed save of 1-bit images
+# 1998-03-06 fl   Load P images as L where possible
+# 1998-07-03 fl   Load P images as 1 where possible
+# 1998-12-29 fl   Handle small palettes
+# 2002-12-30 fl   Fixed load of 1-bit palette images
+# 2003-04-21 fl   Fixed load of 1-bit monochrome images
+# 2003-04-23 fl   Added limited support for BI_BITFIELDS compression
+#
+# Copyright (c) 1997-2003 by Secret Labs AB
+# Copyright (c) 1995-2003 by Fredrik Lundh
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+import os
+from typing import IO, Any
+
+from . import Image, ImageFile, ImagePalette
+from ._binary import i16le as i16
+from ._binary import i32le as i32
+from ._binary import o8
+from ._binary import o16le as o16
+from ._binary import o32le as o32
+
+#
+# --------------------------------------------------------------------
+# Read BMP file
+
+BIT2MODE = {
+    # bits => mode, rawmode
+    1: ("P", "P;1"),
+    4: ("P", "P;4"),
+    8: ("P", "P"),
+    16: ("RGB", "BGR;15"),
+    24: ("RGB", "BGR"),
+    32: ("RGB", "BGRX"),
+}
+
+USE_RAW_ALPHA = False
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith(b"BM")
+
+
+def _dib_accept(prefix: bytes) -> bool:
+    return i32(prefix) in [12, 40, 52, 56, 64, 108, 124]
+
+
+# =============================================================================
+# Image plugin for the Windows BMP format.
+# =============================================================================
+class BmpImageFile(ImageFile.ImageFile):
+    """Image plugin for the Windows Bitmap format (BMP)"""
+
+    # ------------------------------------------------------------- Description
+    format_description = "Windows Bitmap"
+    format = "BMP"
+
+    # -------------------------------------------------- BMP Compression values
+    COMPRESSIONS = {"RAW": 0, "RLE8": 1, "RLE4": 2, "BITFIELDS": 3, "JPEG": 4, "PNG": 5}
+    for k, v in COMPRESSIONS.items():
+        vars()[k] = v
+
+    def _bitmap(self, header: int = 0, offset: int = 0) -> None:
+        """Read relevant info about the BMP"""
+        read, seek = self.fp.read, self.fp.seek
+        if header:
+            seek(header)
+        # read bmp header size @offset 14 (this is part of the header size)
+        file_info: dict[str, bool | int | tuple[int, ...]] = {
+            "header_size": i32(read(4)),
+            "direction": -1,
+        }
+
+        # -------------------- If requested, read header at a specific position
+        # read the rest of the bmp header, without its size
+        assert isinstance(file_info["header_size"], int)
+        header_data = ImageFile._safe_read(self.fp, file_info["header_size"] - 4)
+
+        # ------------------------------- Windows Bitmap v2, IBM OS/2 Bitmap v1
+        # ----- This format has different offsets because of width/height types
+        # 12: BITMAPCOREHEADER/OS21XBITMAPHEADER
+        if file_info["header_size"] == 12:
+            file_info["width"] = i16(header_data, 0)
+            file_info["height"] = i16(header_data, 2)
+            file_info["planes"] = i16(header_data, 4)
+            file_info["bits"] = i16(header_data, 6)
+            file_info["compression"] = self.COMPRESSIONS["RAW"]
+            file_info["palette_padding"] = 3
+
+        # --------------------------------------------- Windows Bitmap v3 to v5
+        #  40: BITMAPINFOHEADER
+        #  52: BITMAPV2HEADER
+        #  56: BITMAPV3HEADER
+        #  64: BITMAPCOREHEADER2/OS22XBITMAPHEADER
+        # 108: BITMAPV4HEADER
+        # 124: BITMAPV5HEADER
+        elif file_info["header_size"] in (40, 52, 56, 64, 108, 124):
+            file_info["y_flip"] = header_data[7] == 0xFF
+            file_info["direction"] = 1 if file_info["y_flip"] else -1
+            file_info["width"] = i32(header_data, 0)
+            file_info["height"] = (
+                i32(header_data, 4)
+                if not file_info["y_flip"]
+                else 2**32 - i32(header_data, 4)
+            )
+            file_info["planes"] = i16(header_data, 8)
+            file_info["bits"] = i16(header_data, 10)
+            file_info["compression"] = i32(header_data, 12)
+            # byte size of pixel data
+            file_info["data_size"] = i32(header_data, 16)
+            file_info["pixels_per_meter"] = (
+                i32(header_data, 20),
+                i32(header_data, 24),
+            )
+            file_info["colors"] = i32(header_data, 28)
+            file_info["palette_padding"] = 4
+            assert isinstance(file_info["pixels_per_meter"], tuple)
+            self.info["dpi"] = tuple(x / 39.3701 for x in file_info["pixels_per_meter"])
+            if file_info["compression"] == self.COMPRESSIONS["BITFIELDS"]:
+                masks = ["r_mask", "g_mask", "b_mask"]
+                if len(header_data) >= 48:
+                    if len(header_data) >= 52:
+                        masks.append("a_mask")
+                    else:
+                        file_info["a_mask"] = 0x0
+                    for idx, mask in enumerate(masks):
+                        file_info[mask] = i32(header_data, 36 + idx * 4)
+                else:
+                    # 40 byte headers only have the three components in the
+                    # bitfields masks, ref:
+                    # https://msdn.microsoft.com/en-us/library/windows/desktop/dd183376(v=vs.85).aspx
+                    # See also
+                    # https://github.com/python-pillow/Pillow/issues/1293
+                    # There is a 4th component in the RGBQuad, in the alpha
+                    # location, but it is listed as a reserved component,
+                    # and it is not generally an alpha channel
+                    file_info["a_mask"] = 0x0
+                    for mask in masks:
+                        file_info[mask] = i32(read(4))
+                assert isinstance(file_info["r_mask"], int)
+                assert isinstance(file_info["g_mask"], int)
+                assert isinstance(file_info["b_mask"], int)
+                assert isinstance(file_info["a_mask"], int)
+                file_info["rgb_mask"] = (
+                    file_info["r_mask"],
+                    file_info["g_mask"],
+                    file_info["b_mask"],
+                )
+                file_info["rgba_mask"] = (
+                    file_info["r_mask"],
+                    file_info["g_mask"],
+                    file_info["b_mask"],
+                    file_info["a_mask"],
+                )
+        else:
+            msg = f"Unsupported BMP header type ({file_info['header_size']})"
+            raise OSError(msg)
+
+        # ------------------ Special case : header is reported 40, which
+        # ---------------------- is shorter than real size for bpp >= 16
+        assert isinstance(file_info["width"], int)
+        assert isinstance(file_info["height"], int)
+        self._size = file_info["width"], file_info["height"]
+
+        # ------- If color count was not found in the header, compute from bits
+        assert isinstance(file_info["bits"], int)
+        file_info["colors"] = (
+            file_info["colors"]
+            if file_info.get("colors", 0)
+            else (1 << file_info["bits"])
+        )
+        assert isinstance(file_info["colors"], int)
+        if offset == 14 + file_info["header_size"] and file_info["bits"] <= 8:
+            offset += 4 * file_info["colors"]
+
+        # ---------------------- Check bit depth for unusual unsupported values
+        self._mode, raw_mode = BIT2MODE.get(file_info["bits"], ("", ""))
+        if not self.mode:
+            msg = f"Unsupported BMP pixel depth ({file_info['bits']})"
+            raise OSError(msg)
+
+        # ---------------- Process BMP with Bitfields compression (not palette)
+        decoder_name = "raw"
+        if file_info["compression"] == self.COMPRESSIONS["BITFIELDS"]:
+            SUPPORTED: dict[int, list[tuple[int, ...]]] = {
+                32: [
+                    (0xFF0000, 0xFF00, 0xFF, 0x0),
+                    (0xFF000000, 0xFF0000, 0xFF00, 0x0),
+                    (0xFF000000, 0xFF00, 0xFF, 0x0),
+                    (0xFF000000, 0xFF0000, 0xFF00, 0xFF),
+                    (0xFF, 0xFF00, 0xFF0000, 0xFF000000),
+                    (0xFF0000, 0xFF00, 0xFF, 0xFF000000),
+                    (0xFF000000, 0xFF00, 0xFF, 0xFF0000),
+                    (0x0, 0x0, 0x0, 0x0),
+                ],
+                24: [(0xFF0000, 0xFF00, 0xFF)],
+                16: [(0xF800, 0x7E0, 0x1F), (0x7C00, 0x3E0, 0x1F)],
+            }
+            MASK_MODES = {
+                (32, (0xFF0000, 0xFF00, 0xFF, 0x0)): "BGRX",
+                (32, (0xFF000000, 0xFF0000, 0xFF00, 0x0)): "XBGR",
+                (32, (0xFF000000, 0xFF00, 0xFF, 0x0)): "BGXR",
+                (32, (0xFF000000, 0xFF0000, 0xFF00, 0xFF)): "ABGR",
+                (32, (0xFF, 0xFF00, 0xFF0000, 0xFF000000)): "RGBA",
+                (32, (0xFF0000, 0xFF00, 0xFF, 0xFF000000)): "BGRA",
+                (32, (0xFF000000, 0xFF00, 0xFF, 0xFF0000)): "BGAR",
+                (32, (0x0, 0x0, 0x0, 0x0)): "BGRA",
+                (24, (0xFF0000, 0xFF00, 0xFF)): "BGR",
+                (16, (0xF800, 0x7E0, 0x1F)): "BGR;16",
+                (16, (0x7C00, 0x3E0, 0x1F)): "BGR;15",
+            }
+            if file_info["bits"] in SUPPORTED:
+                if (
+                    file_info["bits"] == 32
+                    and file_info["rgba_mask"] in SUPPORTED[file_info["bits"]]
+                ):
+                    assert isinstance(file_info["rgba_mask"], tuple)
+                    raw_mode = MASK_MODES[(file_info["bits"], file_info["rgba_mask"])]
+                    self._mode = "RGBA" if "A" in raw_mode else self.mode
+                elif (
+                    file_info["bits"] in (24, 16)
+                    and file_info["rgb_mask"] in SUPPORTED[file_info["bits"]]
+                ):
+                    assert isinstance(file_info["rgb_mask"], tuple)
+                    raw_mode = MASK_MODES[(file_info["bits"], file_info["rgb_mask"])]
+                else:
+                    msg = "Unsupported BMP bitfields layout"
+                    raise OSError(msg)
+            else:
+                msg = "Unsupported BMP bitfields layout"
+                raise OSError(msg)
+        elif file_info["compression"] == self.COMPRESSIONS["RAW"]:
+            if file_info["bits"] == 32 and (
+                header == 22 or USE_RAW_ALPHA  # 32-bit .cur offset
+            ):
+                raw_mode, self._mode = "BGRA", "RGBA"
+        elif file_info["compression"] in (
+            self.COMPRESSIONS["RLE8"],
+            self.COMPRESSIONS["RLE4"],
+        ):
+            decoder_name = "bmp_rle"
+        else:
+            msg = f"Unsupported BMP compression ({file_info['compression']})"
+            raise OSError(msg)
+
+        # --------------- Once the header is processed, process the palette/LUT
+        if self.mode == "P":  # Paletted for 1, 4 and 8 bit images
+            # ---------------------------------------------------- 1-bit images
+            if not (0 < file_info["colors"] <= 65536):
+                msg = f"Unsupported BMP Palette size ({file_info['colors']})"
+                raise OSError(msg)
+            else:
+                assert isinstance(file_info["palette_padding"], int)
+                padding = file_info["palette_padding"]
+                palette = read(padding * file_info["colors"])
+                grayscale = True
+                indices = (
+                    (0, 255)
+                    if file_info["colors"] == 2
+                    else list(range(file_info["colors"]))
+                )
+
+                # ----------------- Check if grayscale and ignore palette if so
+                for ind, val in enumerate(indices):
+                    rgb = palette[ind * padding : ind * padding + 3]
+                    if rgb != o8(val) * 3:
+                        grayscale = False
+
+                # ------- If all colors are gray, white or black, ditch palette
+                if grayscale:
+                    self._mode = "1" if file_info["colors"] == 2 else "L"
+                    raw_mode = self.mode
+                else:
+                    self._mode = "P"
+                    self.palette = ImagePalette.raw(
+                        "BGRX" if padding == 4 else "BGR", palette
+                    )
+
+        # ---------------------------- Finally set the tile data for the plugin
+        self.info["compression"] = file_info["compression"]
+        args: list[Any] = [raw_mode]
+        if decoder_name == "bmp_rle":
+            args.append(file_info["compression"] == self.COMPRESSIONS["RLE4"])
+        else:
+            assert isinstance(file_info["width"], int)
+            args.append(((file_info["width"] * file_info["bits"] + 31) >> 3) & (~3))
+        args.append(file_info["direction"])
+        self.tile = [
+            ImageFile._Tile(
+                decoder_name,
+                (0, 0, file_info["width"], file_info["height"]),
+                offset or self.fp.tell(),
+                tuple(args),
+            )
+        ]
+
+    def _open(self) -> None:
+        """Open file, check magic number and read header"""
+        # read 14 bytes: magic number, filesize, reserved, header final offset
+        head_data = self.fp.read(14)
+        # choke if the file does not have the required magic bytes
+        if not _accept(head_data):
+            msg = "Not a BMP file"
+            raise SyntaxError(msg)
+        # read the start position of the BMP image data (u32)
+        offset = i32(head_data, 10)
+        # load bitmap information (offset=raster info)
+        self._bitmap(offset=offset)
+
+
+class BmpRleDecoder(ImageFile.PyDecoder):
+    _pulls_fd = True
+
+    def decode(self, buffer: bytes | Image.SupportsArrayInterface) -> tuple[int, int]:
+        assert self.fd is not None
+        rle4 = self.args[1]
+        data = bytearray()
+        x = 0
+        dest_length = self.state.xsize * self.state.ysize
+        while len(data) < dest_length:
+            pixels = self.fd.read(1)
+            byte = self.fd.read(1)
+            if not pixels or not byte:
+                break
+            num_pixels = pixels[0]
+            if num_pixels:
+                # encoded mode
+                if x + num_pixels > self.state.xsize:
+                    # Too much data for row
+                    num_pixels = max(0, self.state.xsize - x)
+                if rle4:
+                    first_pixel = o8(byte[0] >> 4)
+                    second_pixel = o8(byte[0] & 0x0F)
+                    for index in range(num_pixels):
+                        if index % 2 == 0:
+                            data += first_pixel
+                        else:
+                            data += second_pixel
+                else:
+                    data += byte * num_pixels
+                x += num_pixels
+            else:
+                if byte[0] == 0:
+                    # end of line
+                    while len(data) % self.state.xsize != 0:
+                        data += b"\x00"
+                    x = 0
+                elif byte[0] == 1:
+                    # end of bitmap
+                    break
+                elif byte[0] == 2:
+                    # delta
+                    bytes_read = self.fd.read(2)
+                    if len(bytes_read) < 2:
+                        break
+                    right, up = self.fd.read(2)
+                    data += b"\x00" * (right + up * self.state.xsize)
+                    x = len(data) % self.state.xsize
+                else:
+                    # absolute mode
+                    if rle4:
+                        # 2 pixels per byte
+                        byte_count = byte[0] // 2
+                        bytes_read = self.fd.read(byte_count)
+                        for byte_read in bytes_read:
+                            data += o8(byte_read >> 4)
+                            data += o8(byte_read & 0x0F)
+                    else:
+                        byte_count = byte[0]
+                        bytes_read = self.fd.read(byte_count)
+                        data += bytes_read
+                    if len(bytes_read) < byte_count:
+                        break
+                    x += byte[0]
+
+                    # align to 16-bit word boundary
+                    if self.fd.tell() % 2 != 0:
+                        self.fd.seek(1, os.SEEK_CUR)
+        rawmode = "L" if self.mode == "L" else "P"
+        self.set_as_raw(bytes(data), rawmode, (0, self.args[-1]))
+        return -1, 0
+
+
+# =============================================================================
+# Image plugin for the DIB format (BMP alias)
+# =============================================================================
+class DibImageFile(BmpImageFile):
+    format = "DIB"
+    format_description = "Windows Bitmap"
+
+    def _open(self) -> None:
+        self._bitmap()
+
+
+#
+# --------------------------------------------------------------------
+# Write BMP file
+
+
+SAVE = {
+    "1": ("1", 1, 2),
+    "L": ("L", 8, 256),
+    "P": ("P", 8, 256),
+    "RGB": ("BGR", 24, 0),
+    "RGBA": ("BGRA", 32, 0),
+}
+
+
+def _dib_save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
+    _save(im, fp, filename, False)
+
+
+def _save(
+    im: Image.Image, fp: IO[bytes], filename: str | bytes, bitmap_header: bool = True
+) -> None:
+    try:
+        rawmode, bits, colors = SAVE[im.mode]
+    except KeyError as e:
+        msg = f"cannot write mode {im.mode} as BMP"
+        raise OSError(msg) from e
+
+    info = im.encoderinfo
+
+    dpi = info.get("dpi", (96, 96))
+
+    # 1 meter == 39.3701 inches
+    ppm = tuple(int(x * 39.3701 + 0.5) for x in dpi)
+
+    stride = ((im.size[0] * bits + 7) // 8 + 3) & (~3)
+    header = 40  # or 64 for OS/2 version 2
+    image = stride * im.size[1]
+
+    if im.mode == "1":
+        palette = b"".join(o8(i) * 4 for i in (0, 255))
+    elif im.mode == "L":
+        palette = b"".join(o8(i) * 4 for i in range(256))
+    elif im.mode == "P":
+        palette = im.im.getpalette("RGB", "BGRX")
+        colors = len(palette) // 4
+    else:
+        palette = None
+
+    # bitmap header
+    if bitmap_header:
+        offset = 14 + header + colors * 4
+        file_size = offset + image
+        if file_size > 2**32 - 1:
+            msg = "File size is too large for the BMP format"
+            raise ValueError(msg)
+        fp.write(
+            b"BM"  # file type (magic)
+            + o32(file_size)  # file size
+            + o32(0)  # reserved
+            + o32(offset)  # image data offset
+        )
+
+    # bitmap info header
+    fp.write(
+        o32(header)  # info header size
+        + o32(im.size[0])  # width
+        + o32(im.size[1])  # height
+        + o16(1)  # planes
+        + o16(bits)  # depth
+        + o32(0)  # compression (0=uncompressed)
+        + o32(image)  # size of bitmap
+        + o32(ppm[0])  # resolution
+        + o32(ppm[1])  # resolution
+        + o32(colors)  # colors used
+        + o32(colors)  # colors important
+    )
+
+    fp.write(b"\0" * (header - 40))  # padding (for OS/2 format)
+
+    if palette:
+        fp.write(palette)
+
+    ImageFile._save(
+        im, fp, [ImageFile._Tile("raw", (0, 0) + im.size, 0, (rawmode, stride, -1))]
+    )
+
+
+#
+# --------------------------------------------------------------------
+# Registry
+
+
+Image.register_open(BmpImageFile.format, BmpImageFile, _accept)
+Image.register_save(BmpImageFile.format, _save)
+
+Image.register_extension(BmpImageFile.format, ".bmp")
+
+Image.register_mime(BmpImageFile.format, "image/bmp")
+
+Image.register_decoder("bmp_rle", BmpRleDecoder)
+
+Image.register_open(DibImageFile.format, DibImageFile, _dib_accept)
+Image.register_save(DibImageFile.format, _dib_save)
+
+Image.register_extension(DibImageFile.format, ".dib")
+
+Image.register_mime(DibImageFile.format, "image/bmp")

venv/Lib/site-packages/PIL/BufrStubImagePlugin.py

@@ -0,0 +1,75 @@
+#
+# The Python Imaging Library
+# $Id$
+#
+# BUFR stub adapter
+#
+# Copyright (c) 1996-2003 by Fredrik Lundh
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+import os
+from typing import IO
+
+from . import Image, ImageFile
+
+_handler = None
+
+
+def register_handler(handler: ImageFile.StubHandler | None) -> None:
+    """
+    Install application-specific BUFR image handler.
+
+    :param handler: Handler object.
+    """
+    global _handler
+    _handler = handler
+
+
+# --------------------------------------------------------------------
+# Image adapter
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith((b"BUFR", b"ZCZC"))
+
+
+class BufrStubImageFile(ImageFile.StubImageFile):
+    format = "BUFR"
+    format_description = "BUFR"
+
+    def _open(self) -> None:
+        if not _accept(self.fp.read(4)):
+            msg = "Not a BUFR file"
+            raise SyntaxError(msg)
+
+        self.fp.seek(-4, os.SEEK_CUR)
+
+        # make something up
+        self._mode = "F"
+        self._size = 1, 1
+
+        loader = self._load()
+        if loader:
+            loader.open(self)
+
+    def _load(self) -> ImageFile.StubHandler | None:
+        return _handler
+
+
+def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
+    if _handler is None or not hasattr(_handler, "save"):
+        msg = "BUFR save handler not installed"
+        raise OSError(msg)
+    _handler.save(im, fp, filename)
+
+
+# --------------------------------------------------------------------
+# Registry
+
+Image.register_open(BufrStubImageFile.format, BufrStubImageFile, _accept)
+Image.register_save(BufrStubImageFile.format, _save)
+
+Image.register_extension(BufrStubImageFile.format, ".bufr")

venv/Lib/site-packages/PIL/ContainerIO.py

@@ -0,0 +1,173 @@
+#
+# The Python Imaging Library.
+# $Id$
+#
+# a class to read from a container file
+#
+# History:
+# 1995-06-18 fl     Created
+# 1995-09-07 fl     Added readline(), readlines()
+#
+# Copyright (c) 1997-2001 by Secret Labs AB
+# Copyright (c) 1995 by Fredrik Lundh
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+import io
+from collections.abc import Iterable
+from typing import IO, AnyStr, NoReturn
+
+
+class ContainerIO(IO[AnyStr]):
+    """
+    A file object that provides read access to a part of an existing
+    file (for example a TAR file).
+    """
+
+    def __init__(self, file: IO[AnyStr], offset: int, length: int) -> None:
+        """
+        Create file object.
+
+        :param file: Existing file.
+        :param offset: Start of region, in bytes.
+        :param length: Size of region, in bytes.
+        """
+        self.fh: IO[AnyStr] = file
+        self.pos = 0
+        self.offset = offset
+        self.length = length
+        self.fh.seek(offset)
+
+    ##
+    # Always false.
+
+    def isatty(self) -> bool:
+        return False
+
+    def seekable(self) -> bool:
+        return True
+
+    def seek(self, offset: int, mode: int = io.SEEK_SET) -> int:
+        """
+        Move file pointer.
+
+        :param offset: Offset in bytes.
+        :param mode: Starting position. Use 0 for beginning of region, 1
+           for current offset, and 2 for end of region.  You cannot move
+           the pointer outside the defined region.
+        :returns: Offset from start of region, in bytes.
+        """
+        if mode == 1:
+            self.pos = self.pos + offset
+        elif mode == 2:
+            self.pos = self.length + offset
+        else:
+            self.pos = offset
+        # clamp
+        self.pos = max(0, min(self.pos, self.length))
+        self.fh.seek(self.offset + self.pos)
+        return self.pos
+
+    def tell(self) -> int:
+        """
+        Get current file pointer.
+
+        :returns: Offset from start of region, in bytes.
+        """
+        return self.pos
+
+    def readable(self) -> bool:
+        return True
+
+    def read(self, n: int = -1) -> AnyStr:
+        """
+        Read data.
+
+        :param n: Number of bytes to read. If omitted, zero or negative,
+            read until end of region.
+        :returns: An 8-bit string.
+        """
+        if n > 0:
+            n = min(n, self.length - self.pos)
+        else:
+            n = self.length - self.pos
+        if n <= 0:  # EOF
+            return b"" if "b" in self.fh.mode else ""  # type: ignore[return-value]
+        self.pos = self.pos + n
+        return self.fh.read(n)
+
+    def readline(self, n: int = -1) -> AnyStr:
+        """
+        Read a line of text.
+
+        :param n: Number of bytes to read. If omitted, zero or negative,
+            read until end of line.
+        :returns: An 8-bit string.
+        """
+        s: AnyStr = b"" if "b" in self.fh.mode else ""  # type: ignore[assignment]
+        newline_character = b"\n" if "b" in self.fh.mode else "\n"
+        while True:
+            c = self.read(1)
+            if not c:
+                break
+            s = s + c
+            if c == newline_character or len(s) == n:
+                break
+        return s
+
+    def readlines(self, n: int | None = -1) -> list[AnyStr]:
+        """
+        Read multiple lines of text.
+
+        :param n: Number of lines to read. If omitted, zero, negative or None,
+            read until end of region.
+        :returns: A list of 8-bit strings.
+        """
+        lines = []
+        while True:
+            s = self.readline()
+            if not s:
+                break
+            lines.append(s)
+            if len(lines) == n:
+                break
+        return lines
+
+    def writable(self) -> bool:
+        return False
+
+    def write(self, b: AnyStr) -> NoReturn:
+        raise NotImplementedError()
+
+    def writelines(self, lines: Iterable[AnyStr]) -> NoReturn:
+        raise NotImplementedError()
+
+    def truncate(self, size: int | None = None) -> int:
+        raise NotImplementedError()
+
+    def __enter__(self) -> ContainerIO[AnyStr]:
+        return self
+
+    def __exit__(self, *args: object) -> None:
+        self.close()
+
+    def __iter__(self) -> ContainerIO[AnyStr]:
+        return self
+
+    def __next__(self) -> AnyStr:
+        line = self.readline()
+        if not line:
+            msg = "end of region"
+            raise StopIteration(msg)
+        return line
+
+    def fileno(self) -> int:
+        return self.fh.fileno()
+
+    def flush(self) -> None:
+        self.fh.flush()
+
+    def close(self) -> None:
+        self.fh.close()

venv/Lib/site-packages/PIL/CurImagePlugin.py

@@ -0,0 +1,75 @@
+#
+# The Python Imaging Library.
+# $Id$
+#
+# Windows Cursor support for PIL
+#
+# notes:
+#       uses BmpImagePlugin.py to read the bitmap data.
+#
+# history:
+#       96-05-27 fl     Created
+#
+# Copyright (c) Secret Labs AB 1997.
+# Copyright (c) Fredrik Lundh 1996.
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+from . import BmpImagePlugin, Image, ImageFile
+from ._binary import i16le as i16
+from ._binary import i32le as i32
+
+#
+# --------------------------------------------------------------------
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith(b"\0\0\2\0")
+
+
+##
+# Image plugin for Windows Cursor files.
+
+
+class CurImageFile(BmpImagePlugin.BmpImageFile):
+    format = "CUR"
+    format_description = "Windows Cursor"
+
+    def _open(self) -> None:
+        offset = self.fp.tell()
+
+        # check magic
+        s = self.fp.read(6)
+        if not _accept(s):
+            msg = "not a CUR file"
+            raise SyntaxError(msg)
+
+        # pick the largest cursor in the file
+        m = b""
+        for i in range(i16(s, 4)):
+            s = self.fp.read(16)
+            if not m:
+                m = s
+            elif s[0] > m[0] and s[1] > m[1]:
+                m = s
+        if not m:
+            msg = "No cursors were found"
+            raise TypeError(msg)
+
+        # load as bitmap
+        self._bitmap(i32(m, 12) + offset)
+
+        # patch up the bitmap height
+        self._size = self.size[0], self.size[1] // 2
+        d, e, o, a = self.tile[0]
+        self.tile[0] = ImageFile._Tile(d, (0, 0) + self.size, o, a)
+
+
+#
+# --------------------------------------------------------------------
+
+Image.register_open(CurImageFile.format, CurImageFile, _accept)
+
+Image.register_extension(CurImageFile.format, ".cur")

venv/Lib/site-packages/PIL/DcxImagePlugin.py

@@ -0,0 +1,83 @@
+#
+# The Python Imaging Library.
+# $Id$
+#
+# DCX file handling
+#
+# DCX is a container file format defined by Intel, commonly used
+# for fax applications.  Each DCX file consists of a directory
+# (a list of file offsets) followed by a set of (usually 1-bit)
+# PCX files.
+#
+# History:
+# 1995-09-09 fl   Created
+# 1996-03-20 fl   Properly derived from PcxImageFile.
+# 1998-07-15 fl   Renamed offset attribute to avoid name clash
+# 2002-07-30 fl   Fixed file handling
+#
+# Copyright (c) 1997-98 by Secret Labs AB.
+# Copyright (c) 1995-96 by Fredrik Lundh.
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+from . import Image
+from ._binary import i32le as i32
+from ._util import DeferredError
+from .PcxImagePlugin import PcxImageFile
+
+MAGIC = 0x3ADE68B1  # QUIZ: what's this value, then?
+
+
+def _accept(prefix: bytes) -> bool:
+    return len(prefix) >= 4 and i32(prefix) == MAGIC
+
+
+##
+# Image plugin for the Intel DCX format.
+
+
+class DcxImageFile(PcxImageFile):
+    format = "DCX"
+    format_description = "Intel DCX"
+    _close_exclusive_fp_after_loading = False
+
+    def _open(self) -> None:
+        # Header
+        s = self.fp.read(4)
+        if not _accept(s):
+            msg = "not a DCX file"
+            raise SyntaxError(msg)
+
+        # Component directory
+        self._offset = []
+        for i in range(1024):
+            offset = i32(self.fp.read(4))
+            if not offset:
+                break
+            self._offset.append(offset)
+
+        self._fp = self.fp
+        self.frame = -1
+        self.n_frames = len(self._offset)
+        self.is_animated = self.n_frames > 1
+        self.seek(0)
+
+    def seek(self, frame: int) -> None:
+        if not self._seek_check(frame):
+            return
+        if isinstance(self._fp, DeferredError):
+            raise self._fp.ex
+        self.frame = frame
+        self.fp = self._fp
+        self.fp.seek(self._offset[frame])
+        PcxImageFile._open(self)
+
+    def tell(self) -> int:
+        return self.frame
+
+
+Image.register_open(DcxImageFile.format, DcxImageFile, _accept)
+
+Image.register_extension(DcxImageFile.format, ".dcx")

venv/Lib/site-packages/PIL/DdsImagePlugin.py

@@ -0,0 +1,624 @@
+"""
+A Pillow loader for .dds files (S3TC-compressed aka DXTC)
+Jerome Leclanche <jerome@leclan.ch>
+
+Documentation:
+https://web.archive.org/web/20170802060935/http://oss.sgi.com/projects/ogl-sample/registry/EXT/texture_compression_s3tc.txt
+
+The contents of this file are hereby released in the public domain (CC0)
+Full text of the CC0 license:
+https://creativecommons.org/publicdomain/zero/1.0/
+"""
+
+from __future__ import annotations
+
+import io
+import struct
+import sys
+from enum import IntEnum, IntFlag
+from typing import IO
+
+from . import Image, ImageFile, ImagePalette
+from ._binary import i32le as i32
+from ._binary import o8
+from ._binary import o32le as o32
+
+# Magic ("DDS ")
+DDS_MAGIC = 0x20534444
+
+
+# DDS flags
+class DDSD(IntFlag):
+    CAPS = 0x1
+    HEIGHT = 0x2
+    WIDTH = 0x4
+    PITCH = 0x8
+    PIXELFORMAT = 0x1000
+    MIPMAPCOUNT = 0x20000
+    LINEARSIZE = 0x80000
+    DEPTH = 0x800000
+
+
+# DDS caps
+class DDSCAPS(IntFlag):
+    COMPLEX = 0x8
+    TEXTURE = 0x1000
+    MIPMAP = 0x400000
+
+
+class DDSCAPS2(IntFlag):
+    CUBEMAP = 0x200
+    CUBEMAP_POSITIVEX = 0x400
+    CUBEMAP_NEGATIVEX = 0x800
+    CUBEMAP_POSITIVEY = 0x1000
+    CUBEMAP_NEGATIVEY = 0x2000
+    CUBEMAP_POSITIVEZ = 0x4000
+    CUBEMAP_NEGATIVEZ = 0x8000
+    VOLUME = 0x200000
+
+
+# Pixel Format
+class DDPF(IntFlag):
+    ALPHAPIXELS = 0x1
+    ALPHA = 0x2
+    FOURCC = 0x4
+    PALETTEINDEXED8 = 0x20
+    RGB = 0x40
+    LUMINANCE = 0x20000
+
+
+# dxgiformat.h
+class DXGI_FORMAT(IntEnum):
+    UNKNOWN = 0
+    R32G32B32A32_TYPELESS = 1
+    R32G32B32A32_FLOAT = 2
+    R32G32B32A32_UINT = 3
+    R32G32B32A32_SINT = 4
+    R32G32B32_TYPELESS = 5
+    R32G32B32_FLOAT = 6
+    R32G32B32_UINT = 7
+    R32G32B32_SINT = 8
+    R16G16B16A16_TYPELESS = 9
+    R16G16B16A16_FLOAT = 10
+    R16G16B16A16_UNORM = 11
+    R16G16B16A16_UINT = 12
+    R16G16B16A16_SNORM = 13
+    R16G16B16A16_SINT = 14
+    R32G32_TYPELESS = 15
+    R32G32_FLOAT = 16
+    R32G32_UINT = 17
+    R32G32_SINT = 18
+    R32G8X24_TYPELESS = 19
+    D32_FLOAT_S8X24_UINT = 20
+    R32_FLOAT_X8X24_TYPELESS = 21
+    X32_TYPELESS_G8X24_UINT = 22
+    R10G10B10A2_TYPELESS = 23
+    R10G10B10A2_UNORM = 24
+    R10G10B10A2_UINT = 25
+    R11G11B10_FLOAT = 26
+    R8G8B8A8_TYPELESS = 27
+    R8G8B8A8_UNORM = 28
+    R8G8B8A8_UNORM_SRGB = 29
+    R8G8B8A8_UINT = 30
+    R8G8B8A8_SNORM = 31
+    R8G8B8A8_SINT = 32
+    R16G16_TYPELESS = 33
+    R16G16_FLOAT = 34
+    R16G16_UNORM = 35
+    R16G16_UINT = 36
+    R16G16_SNORM = 37
+    R16G16_SINT = 38
+    R32_TYPELESS = 39
+    D32_FLOAT = 40
+    R32_FLOAT = 41
+    R32_UINT = 42
+    R32_SINT = 43
+    R24G8_TYPELESS = 44
+    D24_UNORM_S8_UINT = 45
+    R24_UNORM_X8_TYPELESS = 46
+    X24_TYPELESS_G8_UINT = 47
+    R8G8_TYPELESS = 48
+    R8G8_UNORM = 49
+    R8G8_UINT = 50
+    R8G8_SNORM = 51
+    R8G8_SINT = 52
+    R16_TYPELESS = 53
+    R16_FLOAT = 54
+    D16_UNORM = 55
+    R16_UNORM = 56
+    R16_UINT = 57
+    R16_SNORM = 58
+    R16_SINT = 59
+    R8_TYPELESS = 60
+    R8_UNORM = 61
+    R8_UINT = 62
+    R8_SNORM = 63
+    R8_SINT = 64
+    A8_UNORM = 65
+    R1_UNORM = 66
+    R9G9B9E5_SHAREDEXP = 67
+    R8G8_B8G8_UNORM = 68
+    G8R8_G8B8_UNORM = 69
+    BC1_TYPELESS = 70
+    BC1_UNORM = 71
+    BC1_UNORM_SRGB = 72
+    BC2_TYPELESS = 73
+    BC2_UNORM = 74
+    BC2_UNORM_SRGB = 75
+    BC3_TYPELESS = 76
+    BC3_UNORM = 77
+    BC3_UNORM_SRGB = 78
+    BC4_TYPELESS = 79
+    BC4_UNORM = 80
+    BC4_SNORM = 81
+    BC5_TYPELESS = 82
+    BC5_UNORM = 83
+    BC5_SNORM = 84
+    B5G6R5_UNORM = 85
+    B5G5R5A1_UNORM = 86
+    B8G8R8A8_UNORM = 87
+    B8G8R8X8_UNORM = 88
+    R10G10B10_XR_BIAS_A2_UNORM = 89
+    B8G8R8A8_TYPELESS = 90
+    B8G8R8A8_UNORM_SRGB = 91
+    B8G8R8X8_TYPELESS = 92
+    B8G8R8X8_UNORM_SRGB = 93
+    BC6H_TYPELESS = 94
+    BC6H_UF16 = 95
+    BC6H_SF16 = 96
+    BC7_TYPELESS = 97
+    BC7_UNORM = 98
+    BC7_UNORM_SRGB = 99
+    AYUV = 100
+    Y410 = 101
+    Y416 = 102
+    NV12 = 103
+    P010 = 104
+    P016 = 105
+    OPAQUE_420 = 106
+    YUY2 = 107
+    Y210 = 108
+    Y216 = 109
+    NV11 = 110
+    AI44 = 111
+    IA44 = 112
+    P8 = 113
+    A8P8 = 114
+    B4G4R4A4_UNORM = 115
+    P208 = 130
+    V208 = 131
+    V408 = 132
+    SAMPLER_FEEDBACK_MIN_MIP_OPAQUE = 189
+    SAMPLER_FEEDBACK_MIP_REGION_USED_OPAQUE = 190
+
+
+class D3DFMT(IntEnum):
+    UNKNOWN = 0
+    R8G8B8 = 20
+    A8R8G8B8 = 21
+    X8R8G8B8 = 22
+    R5G6B5 = 23
+    X1R5G5B5 = 24
+    A1R5G5B5 = 25
+    A4R4G4B4 = 26
+    R3G3B2 = 27
+    A8 = 28
+    A8R3G3B2 = 29
+    X4R4G4B4 = 30
+    A2B10G10R10 = 31
+    A8B8G8R8 = 32
+    X8B8G8R8 = 33
+    G16R16 = 34
+    A2R10G10B10 = 35
+    A16B16G16R16 = 36
+    A8P8 = 40
+    P8 = 41
+    L8 = 50
+    A8L8 = 51
+    A4L4 = 52
+    V8U8 = 60
+    L6V5U5 = 61
+    X8L8V8U8 = 62
+    Q8W8V8U8 = 63
+    V16U16 = 64
+    A2W10V10U10 = 67
+    D16_LOCKABLE = 70
+    D32 = 71
+    D15S1 = 73
+    D24S8 = 75
+    D24X8 = 77
+    D24X4S4 = 79
+    D16 = 80
+    D32F_LOCKABLE = 82
+    D24FS8 = 83
+    D32_LOCKABLE = 84
+    S8_LOCKABLE = 85
+    L16 = 81
+    VERTEXDATA = 100
+    INDEX16 = 101
+    INDEX32 = 102
+    Q16W16V16U16 = 110
+    R16F = 111
+    G16R16F = 112
+    A16B16G16R16F = 113
+    R32F = 114
+    G32R32F = 115
+    A32B32G32R32F = 116
+    CxV8U8 = 117
+    A1 = 118
+    A2B10G10R10_XR_BIAS = 119
+    BINARYBUFFER = 199
+
+    UYVY = i32(b"UYVY")
+    R8G8_B8G8 = i32(b"RGBG")
+    YUY2 = i32(b"YUY2")
+    G8R8_G8B8 = i32(b"GRGB")
+    DXT1 = i32(b"DXT1")
+    DXT2 = i32(b"DXT2")
+    DXT3 = i32(b"DXT3")
+    DXT4 = i32(b"DXT4")
+    DXT5 = i32(b"DXT5")
+    DX10 = i32(b"DX10")
+    BC4S = i32(b"BC4S")
+    BC4U = i32(b"BC4U")
+    BC5S = i32(b"BC5S")
+    BC5U = i32(b"BC5U")
+    ATI1 = i32(b"ATI1")
+    ATI2 = i32(b"ATI2")
+    MULTI2_ARGB8 = i32(b"MET1")
+
+
+# Backward compatibility layer
+module = sys.modules[__name__]
+for item in DDSD:
+    assert item.name is not None
+    setattr(module, f"DDSD_{item.name}", item.value)
+for item1 in DDSCAPS:
+    assert item1.name is not None
+    setattr(module, f"DDSCAPS_{item1.name}", item1.value)
+for item2 in DDSCAPS2:
+    assert item2.name is not None
+    setattr(module, f"DDSCAPS2_{item2.name}", item2.value)
+for item3 in DDPF:
+    assert item3.name is not None
+    setattr(module, f"DDPF_{item3.name}", item3.value)
+
+DDS_FOURCC = DDPF.FOURCC
+DDS_RGB = DDPF.RGB
+DDS_RGBA = DDPF.RGB | DDPF.ALPHAPIXELS
+DDS_LUMINANCE = DDPF.LUMINANCE
+DDS_LUMINANCEA = DDPF.LUMINANCE | DDPF.ALPHAPIXELS
+DDS_ALPHA = DDPF.ALPHA
+DDS_PAL8 = DDPF.PALETTEINDEXED8
+
+DDS_HEADER_FLAGS_TEXTURE = DDSD.CAPS | DDSD.HEIGHT | DDSD.WIDTH | DDSD.PIXELFORMAT
+DDS_HEADER_FLAGS_MIPMAP = DDSD.MIPMAPCOUNT
+DDS_HEADER_FLAGS_VOLUME = DDSD.DEPTH
+DDS_HEADER_FLAGS_PITCH = DDSD.PITCH
+DDS_HEADER_FLAGS_LINEARSIZE = DDSD.LINEARSIZE
+
+DDS_HEIGHT = DDSD.HEIGHT
+DDS_WIDTH = DDSD.WIDTH
+
+DDS_SURFACE_FLAGS_TEXTURE = DDSCAPS.TEXTURE
+DDS_SURFACE_FLAGS_MIPMAP = DDSCAPS.COMPLEX | DDSCAPS.MIPMAP
+DDS_SURFACE_FLAGS_CUBEMAP = DDSCAPS.COMPLEX
+
+DDS_CUBEMAP_POSITIVEX = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_POSITIVEX
+DDS_CUBEMAP_NEGATIVEX = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_NEGATIVEX
+DDS_CUBEMAP_POSITIVEY = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_POSITIVEY
+DDS_CUBEMAP_NEGATIVEY = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_NEGATIVEY
+DDS_CUBEMAP_POSITIVEZ = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_POSITIVEZ
+DDS_CUBEMAP_NEGATIVEZ = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_NEGATIVEZ
+
+DXT1_FOURCC = D3DFMT.DXT1
+DXT3_FOURCC = D3DFMT.DXT3
+DXT5_FOURCC = D3DFMT.DXT5
+
+DXGI_FORMAT_R8G8B8A8_TYPELESS = DXGI_FORMAT.R8G8B8A8_TYPELESS
+DXGI_FORMAT_R8G8B8A8_UNORM = DXGI_FORMAT.R8G8B8A8_UNORM
+DXGI_FORMAT_R8G8B8A8_UNORM_SRGB = DXGI_FORMAT.R8G8B8A8_UNORM_SRGB
+DXGI_FORMAT_BC5_TYPELESS = DXGI_FORMAT.BC5_TYPELESS
+DXGI_FORMAT_BC5_UNORM = DXGI_FORMAT.BC5_UNORM
+DXGI_FORMAT_BC5_SNORM = DXGI_FORMAT.BC5_SNORM
+DXGI_FORMAT_BC6H_UF16 = DXGI_FORMAT.BC6H_UF16
+DXGI_FORMAT_BC6H_SF16 = DXGI_FORMAT.BC6H_SF16
+DXGI_FORMAT_BC7_TYPELESS = DXGI_FORMAT.BC7_TYPELESS
+DXGI_FORMAT_BC7_UNORM = DXGI_FORMAT.BC7_UNORM
+DXGI_FORMAT_BC7_UNORM_SRGB = DXGI_FORMAT.BC7_UNORM_SRGB
+
+
+class DdsImageFile(ImageFile.ImageFile):
+    format = "DDS"
+    format_description = "DirectDraw Surface"
+
+    def _open(self) -> None:
+        if not _accept(self.fp.read(4)):
+            msg = "not a DDS file"
+            raise SyntaxError(msg)
+        (header_size,) = struct.unpack("<I", self.fp.read(4))
+        if header_size != 124:
+            msg = f"Unsupported header size {repr(header_size)}"
+            raise OSError(msg)
+        header_bytes = self.fp.read(header_size - 4)
+        if len(header_bytes) != 120:
+            msg = f"Incomplete header: {len(header_bytes)} bytes"
+            raise OSError(msg)
+        header = io.BytesIO(header_bytes)
+
+        flags, height, width = struct.unpack("<3I", header.read(12))
+        self._size = (width, height)
+        extents = (0, 0) + self.size
+
+        pitch, depth, mipmaps = struct.unpack("<3I", header.read(12))
+        struct.unpack("<11I", header.read(44))  # reserved
+
+        # pixel format
+        pfsize, pfflags, fourcc, bitcount = struct.unpack("<4I", header.read(16))
+        n = 0
+        rawmode = None
+        if pfflags & DDPF.RGB:
+            # Texture contains uncompressed RGB data
+            if pfflags & DDPF.ALPHAPIXELS:
+                self._mode = "RGBA"
+                mask_count = 4
+            else:
+                self._mode = "RGB"
+                mask_count = 3
+
+            masks = struct.unpack(f"<{mask_count}I", header.read(mask_count * 4))
+            self.tile = [ImageFile._Tile("dds_rgb", extents, 0, (bitcount, masks))]
+            return
+        elif pfflags & DDPF.LUMINANCE:
+            if bitcount == 8:
+                self._mode = "L"
+            elif bitcount == 16 and pfflags & DDPF.ALPHAPIXELS:
+                self._mode = "LA"
+            else:
+                msg = f"Unsupported bitcount {bitcount} for {pfflags}"
+                raise OSError(msg)
+        elif pfflags & DDPF.PALETTEINDEXED8:
+            self._mode = "P"
+            self.palette = ImagePalette.raw("RGBA", self.fp.read(1024))
+            self.palette.mode = "RGBA"
+        elif pfflags & DDPF.FOURCC:
+            offset = header_size + 4
+            if fourcc == D3DFMT.DXT1:
+                self._mode = "RGBA"
+                self.pixel_format = "DXT1"
+                n = 1
+            elif fourcc == D3DFMT.DXT3:
+                self._mode = "RGBA"
+                self.pixel_format = "DXT3"
+                n = 2
+            elif fourcc == D3DFMT.DXT5:
+                self._mode = "RGBA"
+                self.pixel_format = "DXT5"
+                n = 3
+            elif fourcc in (D3DFMT.BC4U, D3DFMT.ATI1):
+                self._mode = "L"
+                self.pixel_format = "BC4"
+                n = 4
+            elif fourcc == D3DFMT.BC5S:
+                self._mode = "RGB"
+                self.pixel_format = "BC5S"
+                n = 5
+            elif fourcc in (D3DFMT.BC5U, D3DFMT.ATI2):
+                self._mode = "RGB"
+                self.pixel_format = "BC5"
+                n = 5
+            elif fourcc == D3DFMT.DX10:
+                offset += 20
+                # ignoring flags which pertain to volume textures and cubemaps
+                (dxgi_format,) = struct.unpack("<I", self.fp.read(4))
+                self.fp.read(16)
+                if dxgi_format in (
+                    DXGI_FORMAT.BC1_UNORM,
+                    DXGI_FORMAT.BC1_TYPELESS,
+                ):
+                    self._mode = "RGBA"
+                    self.pixel_format = "BC1"
+                    n = 1
+                elif dxgi_format in (DXGI_FORMAT.BC2_TYPELESS, DXGI_FORMAT.BC2_UNORM):
+                    self._mode = "RGBA"
+                    self.pixel_format = "BC2"
+                    n = 2
+                elif dxgi_format in (DXGI_FORMAT.BC3_TYPELESS, DXGI_FORMAT.BC3_UNORM):
+                    self._mode = "RGBA"
+                    self.pixel_format = "BC3"
+                    n = 3
+                elif dxgi_format in (DXGI_FORMAT.BC4_TYPELESS, DXGI_FORMAT.BC4_UNORM):
+                    self._mode = "L"
+                    self.pixel_format = "BC4"
+                    n = 4
+                elif dxgi_format in (DXGI_FORMAT.BC5_TYPELESS, DXGI_FORMAT.BC5_UNORM):
+                    self._mode = "RGB"
+                    self.pixel_format = "BC5"
+                    n = 5
+                elif dxgi_format == DXGI_FORMAT.BC5_SNORM:
+                    self._mode = "RGB"
+                    self.pixel_format = "BC5S"
+                    n = 5
+                elif dxgi_format == DXGI_FORMAT.BC6H_UF16:
+                    self._mode = "RGB"
+                    self.pixel_format = "BC6H"
+                    n = 6
+                elif dxgi_format == DXGI_FORMAT.BC6H_SF16:
+                    self._mode = "RGB"
+                    self.pixel_format = "BC6HS"
+                    n = 6
+                elif dxgi_format in (
+                    DXGI_FORMAT.BC7_TYPELESS,
+                    DXGI_FORMAT.BC7_UNORM,
+                    DXGI_FORMAT.BC7_UNORM_SRGB,
+                ):
+                    self._mode = "RGBA"
+                    self.pixel_format = "BC7"
+                    n = 7
+                    if dxgi_format == DXGI_FORMAT.BC7_UNORM_SRGB:
+                        self.info["gamma"] = 1 / 2.2
+                elif dxgi_format in (
+                    DXGI_FORMAT.R8G8B8A8_TYPELESS,
+                    DXGI_FORMAT.R8G8B8A8_UNORM,
+                    DXGI_FORMAT.R8G8B8A8_UNORM_SRGB,
+                ):
+                    self._mode = "RGBA"
+                    if dxgi_format == DXGI_FORMAT.R8G8B8A8_UNORM_SRGB:
+                        self.info["gamma"] = 1 / 2.2
+                else:
+                    msg = f"Unimplemented DXGI format {dxgi_format}"
+                    raise NotImplementedError(msg)
+            else:
+                msg = f"Unimplemented pixel format {repr(fourcc)}"
+                raise NotImplementedError(msg)
+        else:
+            msg = f"Unknown pixel format flags {pfflags}"
+            raise NotImplementedError(msg)
+
+        if n:
+            self.tile = [
+                ImageFile._Tile("bcn", extents, offset, (n, self.pixel_format))
+            ]
+        else:
+            self.tile = [ImageFile._Tile("raw", extents, 0, rawmode or self.mode)]
+
+    def load_seek(self, pos: int) -> None:
+        pass
+
+
+class DdsRgbDecoder(ImageFile.PyDecoder):
+    _pulls_fd = True
+
+    def decode(self, buffer: bytes | Image.SupportsArrayInterface) -> tuple[int, int]:
+        assert self.fd is not None
+        bitcount, masks = self.args
+
+        # Some masks will be padded with zeros, e.g. R 0b11 G 0b1100
+        # Calculate how many zeros each mask is padded with
+        mask_offsets = []
+        # And the maximum value of each channel without the padding
+        mask_totals = []
+        for mask in masks:
+            offset = 0
+            if mask != 0:
+                while mask >> (offset + 1) << (offset + 1) == mask:
+                    offset += 1
+            mask_offsets.append(offset)
+            mask_totals.append(mask >> offset)
+
+        data = bytearray()
+        bytecount = bitcount // 8
+        dest_length = self.state.xsize * self.state.ysize * len(masks)
+        while len(data) < dest_length:
+            value = int.from_bytes(self.fd.read(bytecount), "little")
+            for i, mask in enumerate(masks):
+                masked_value = value & mask
+                # Remove the zero padding, and scale it to 8 bits
+                data += o8(
+                    int(((masked_value >> mask_offsets[i]) / mask_totals[i]) * 255)
+                )
+        self.set_as_raw(data)
+        return -1, 0
+
+
+def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
+    if im.mode not in ("RGB", "RGBA", "L", "LA"):
+        msg = f"cannot write mode {im.mode} as DDS"
+        raise OSError(msg)
+
+    flags = DDSD.CAPS | DDSD.HEIGHT | DDSD.WIDTH | DDSD.PIXELFORMAT
+    bitcount = len(im.getbands()) * 8
+    pixel_format = im.encoderinfo.get("pixel_format")
+    args: tuple[int] | str
+    if pixel_format:
+        codec_name = "bcn"
+        flags |= DDSD.LINEARSIZE
+        pitch = (im.width + 3) * 4
+        rgba_mask = [0, 0, 0, 0]
+        pixel_flags = DDPF.FOURCC
+        if pixel_format == "DXT1":
+            fourcc = D3DFMT.DXT1
+            args = (1,)
+        elif pixel_format == "DXT3":
+            fourcc = D3DFMT.DXT3
+            args = (2,)
+        elif pixel_format == "DXT5":
+            fourcc = D3DFMT.DXT5
+            args = (3,)
+        else:
+            fourcc = D3DFMT.DX10
+            if pixel_format == "BC2":
+                args = (2,)
+                dxgi_format = DXGI_FORMAT.BC2_TYPELESS
+            elif pixel_format == "BC3":
+                args = (3,)
+                dxgi_format = DXGI_FORMAT.BC3_TYPELESS
+            elif pixel_format == "BC5":
+                args = (5,)
+                dxgi_format = DXGI_FORMAT.BC5_TYPELESS
+                if im.mode != "RGB":
+                    msg = "only RGB mode can be written as BC5"
+                    raise OSError(msg)
+            else:
+                msg = f"cannot write pixel format {pixel_format}"
+                raise OSError(msg)
+    else:
+        codec_name = "raw"
+        flags |= DDSD.PITCH
+        pitch = (im.width * bitcount + 7) // 8
+
+        alpha = im.mode[-1] == "A"
+        if im.mode[0] == "L":
+            pixel_flags = DDPF.LUMINANCE
+            args = im.mode
+            if alpha:
+                rgba_mask = [0x000000FF, 0x000000FF, 0x000000FF]
+            else:
+                rgba_mask = [0xFF000000, 0xFF000000, 0xFF000000]
+        else:
+            pixel_flags = DDPF.RGB
+            args = im.mode[::-1]
+            rgba_mask = [0x00FF0000, 0x0000FF00, 0x000000FF]
+
+            if alpha:
+                r, g, b, a = im.split()
+                im = Image.merge("RGBA", (a, r, g, b))
+        if alpha:
+            pixel_flags |= DDPF.ALPHAPIXELS
+        rgba_mask.append(0xFF000000 if alpha else 0)
+
+        fourcc = D3DFMT.UNKNOWN
+    fp.write(
+        o32(DDS_MAGIC)
+        + struct.pack(
+            "<7I",
+            124,  # header size
+            flags,  # flags
+            im.height,
+            im.width,
+            pitch,
+            0,  # depth
+            0,  # mipmaps
+        )
+        + struct.pack("11I", *((0,) * 11))  # reserved
+        # pfsize, pfflags, fourcc, bitcount
+        + struct.pack("<4I", 32, pixel_flags, fourcc, bitcount)
+        + struct.pack("<4I", *rgba_mask)  # dwRGBABitMask
+        + struct.pack("<5I", DDSCAPS.TEXTURE, 0, 0, 0, 0)
+    )
+    if fourcc == D3DFMT.DX10:
+        fp.write(
+            # dxgi_format, 2D resource, misc, array size, straight alpha
+            struct.pack("<5I", dxgi_format, 3, 0, 0, 1)
+        )
+    ImageFile._save(im, fp, [ImageFile._Tile(codec_name, (0, 0) + im.size, 0, args)])
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith(b"DDS ")
+
+
+Image.register_open(DdsImageFile.format, DdsImageFile, _accept)
+Image.register_decoder("dds_rgb", DdsRgbDecoder)
+Image.register_save(DdsImageFile.format, _save)
+Image.register_extension(DdsImageFile.format, ".dds")

venv/Lib/site-packages/PIL/EpsImagePlugin.py

@@ -0,0 +1,476 @@
+#
+# The Python Imaging Library.
+# $Id$
+#
+# EPS file handling
+#
+# History:
+# 1995-09-01 fl   Created (0.1)
+# 1996-05-18 fl   Don't choke on "atend" fields, Ghostscript interface (0.2)
+# 1996-08-22 fl   Don't choke on floating point BoundingBox values
+# 1996-08-23 fl   Handle files from Macintosh (0.3)
+# 2001-02-17 fl   Use 're' instead of 'regex' (Python 2.1) (0.4)
+# 2003-09-07 fl   Check gs.close status (from Federico Di Gregorio) (0.5)
+# 2014-05-07 e    Handling of EPS with binary preview and fixed resolution
+#                 resizing
+#
+# Copyright (c) 1997-2003 by Secret Labs AB.
+# Copyright (c) 1995-2003 by Fredrik Lundh
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+import io
+import os
+import re
+import subprocess
+import sys
+import tempfile
+from typing import IO
+
+from . import Image, ImageFile
+from ._binary import i32le as i32
+
+# --------------------------------------------------------------------
+
+
+split = re.compile(r"^%%([^:]*):[ \t]*(.*)[ \t]*$")
+field = re.compile(r"^%[%!\w]([^:]*)[ \t]*$")
+
+gs_binary: str | bool | None = None
+gs_windows_binary = None
+
+
+def has_ghostscript() -> bool:
+    global gs_binary, gs_windows_binary
+    if gs_binary is None:
+        if sys.platform.startswith("win"):
+            if gs_windows_binary is None:
+                import shutil
+
+                for binary in ("gswin32c", "gswin64c", "gs"):
+                    if shutil.which(binary) is not None:
+                        gs_windows_binary = binary
+                        break
+                else:
+                    gs_windows_binary = False
+            gs_binary = gs_windows_binary
+        else:
+            try:
+                subprocess.check_call(["gs", "--version"], stdout=subprocess.DEVNULL)
+                gs_binary = "gs"
+            except OSError:
+                gs_binary = False
+    return gs_binary is not False
+
+
+def Ghostscript(
+    tile: list[ImageFile._Tile],
+    size: tuple[int, int],
+    fp: IO[bytes],
+    scale: int = 1,
+    transparency: bool = False,
+) -> Image.core.ImagingCore:
+    """Render an image using Ghostscript"""
+    global gs_binary
+    if not has_ghostscript():
+        msg = "Unable to locate Ghostscript on paths"
+        raise OSError(msg)
+    assert isinstance(gs_binary, str)
+
+    # Unpack decoder tile
+    args = tile[0].args
+    assert isinstance(args, tuple)
+    length, bbox = args
+
+    # Hack to support hi-res rendering
+    scale = int(scale) or 1
+    width = size[0] * scale
+    height = size[1] * scale
+    # resolution is dependent on bbox and size
+    res_x = 72.0 * width / (bbox[2] - bbox[0])
+    res_y = 72.0 * height / (bbox[3] - bbox[1])
+
+    out_fd, outfile = tempfile.mkstemp()
+    os.close(out_fd)
+
+    infile_temp = None
+    if hasattr(fp, "name") and os.path.exists(fp.name):
+        infile = fp.name
+    else:
+        in_fd, infile_temp = tempfile.mkstemp()
+        os.close(in_fd)
+        infile = infile_temp
+
+        # Ignore length and offset!
+        # Ghostscript can read it
+        # Copy whole file to read in Ghostscript
+        with open(infile_temp, "wb") as f:
+            # fetch length of fp
+            fp.seek(0, io.SEEK_END)
+            fsize = fp.tell()
+            # ensure start position
+            # go back
+            fp.seek(0)
+            lengthfile = fsize
+            while lengthfile > 0:
+                s = fp.read(min(lengthfile, 100 * 1024))
+                if not s:
+                    break
+                lengthfile -= len(s)
+                f.write(s)
+
+    if transparency:
+        # "RGBA"
+        device = "pngalpha"
+    else:
+        # "pnmraw" automatically chooses between
+        # PBM ("1"), PGM ("L"), and PPM ("RGB").
+        device = "pnmraw"
+
+    # Build Ghostscript command
+    command = [
+        gs_binary,
+        "-q",  # quiet mode
+        f"-g{width:d}x{height:d}",  # set output geometry (pixels)
+        f"-r{res_x:f}x{res_y:f}",  # set input DPI (dots per inch)
+        "-dBATCH",  # exit after processing
+        "-dNOPAUSE",  # don't pause between pages
+        "-dSAFER",  # safe mode
+        f"-sDEVICE={device}",
+        f"-sOutputFile={outfile}",  # output file
+        # adjust for image origin
+        "-c",
+        f"{-bbox[0]} {-bbox[1]} translate",
+        "-f",
+        infile,  # input file
+        # showpage (see https://bugs.ghostscript.com/show_bug.cgi?id=698272)
+        "-c",
+        "showpage",
+    ]
+
+    # push data through Ghostscript
+    try:
+        startupinfo = None
+        if sys.platform.startswith("win"):
+            startupinfo = subprocess.STARTUPINFO()
+            startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        subprocess.check_call(command, startupinfo=startupinfo)
+        with Image.open(outfile) as out_im:
+            out_im.load()
+            return out_im.im.copy()
+    finally:
+        try:
+            os.unlink(outfile)
+            if infile_temp:
+                os.unlink(infile_temp)
+        except OSError:
+            pass
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith(b"%!PS") or (
+        len(prefix) >= 4 and i32(prefix) == 0xC6D3D0C5
+    )
+
+
+##
+# Image plugin for Encapsulated PostScript. This plugin supports only
+# a few variants of this format.
+
+
+class EpsImageFile(ImageFile.ImageFile):
+    """EPS File Parser for the Python Imaging Library"""
+
+    format = "EPS"
+    format_description = "Encapsulated Postscript"
+
+    mode_map = {1: "L", 2: "LAB", 3: "RGB", 4: "CMYK"}
+
+    def _open(self) -> None:
+        (length, offset) = self._find_offset(self.fp)
+
+        # go to offset - start of "%!PS"
+        self.fp.seek(offset)
+
+        self._mode = "RGB"
+
+        # When reading header comments, the first comment is used.
+        # When reading trailer comments, the last comment is used.
+        bounding_box: list[int] | None = None
+        imagedata_size: tuple[int, int] | None = None
+
+        byte_arr = bytearray(255)
+        bytes_mv = memoryview(byte_arr)
+        bytes_read = 0
+        reading_header_comments = True
+        reading_trailer_comments = False
+        trailer_reached = False
+
+        def check_required_header_comments() -> None:
+            """
+            The EPS specification requires that some headers exist.
+            This should be checked when the header comments formally end,
+            when image data starts, or when the file ends, whichever comes first.
+            """
+            if "PS-Adobe" not in self.info:
+                msg = 'EPS header missing "%!PS-Adobe" comment'
+                raise SyntaxError(msg)
+            if "BoundingBox" not in self.info:
+                msg = 'EPS header missing "%%BoundingBox" comment'
+                raise SyntaxError(msg)
+
+        def read_comment(s: str) -> bool:
+            nonlocal bounding_box, reading_trailer_comments
+            try:
+                m = split.match(s)
+            except re.error as e:
+                msg = "not an EPS file"
+                raise SyntaxError(msg) from e
+
+            if not m:
+                return False
+
+            k, v = m.group(1, 2)
+            self.info[k] = v
+            if k == "BoundingBox":
+                if v == "(atend)":
+                    reading_trailer_comments = True
+                elif not bounding_box or (trailer_reached and reading_trailer_comments):
+                    try:
+                        # Note: The DSC spec says that BoundingBox
+                        # fields should be integers, but some drivers
+                        # put floating point values there anyway.
+                        bounding_box = [int(float(i)) for i in v.split()]
+                    except Exception:
+                        pass
+            return True
+
+        while True:
+            byte = self.fp.read(1)
+            if byte == b"":
+                # if we didn't read a byte we must be at the end of the file
+                if bytes_read == 0:
+                    if reading_header_comments:
+                        check_required_header_comments()
+                    break
+            elif byte in b"\r\n":
+                # if we read a line ending character, ignore it and parse what
+                # we have already read. if we haven't read any other characters,
+                # continue reading
+                if bytes_read == 0:
+                    continue
+            else:
+                # ASCII/hexadecimal lines in an EPS file must not exceed
+                # 255 characters, not including line ending characters
+                if bytes_read >= 255:
+                    # only enforce this for lines starting with a "%",
+                    # otherwise assume it's binary data
+                    if byte_arr[0] == ord("%"):
+                        msg = "not an EPS file"
+                        raise SyntaxError(msg)
+                    else:
+                        if reading_header_comments:
+                            check_required_header_comments()
+                            reading_header_comments = False
+                        # reset bytes_read so we can keep reading
+                        # data until the end of the line
+                        bytes_read = 0
+                byte_arr[bytes_read] = byte[0]
+                bytes_read += 1
+                continue
+
+            if reading_header_comments:
+                # Load EPS header
+
+                # if this line doesn't start with a "%",
+                # or does start with "%%EndComments",
+                # then we've reached the end of the header/comments
+                if byte_arr[0] != ord("%") or bytes_mv[:13] == b"%%EndComments":
+                    check_required_header_comments()
+                    reading_header_comments = False
+                    continue
+
+                s = str(bytes_mv[:bytes_read], "latin-1")
+                if not read_comment(s):
+                    m = field.match(s)
+                    if m:
+                        k = m.group(1)
+                        if k.startswith("PS-Adobe"):
+                            self.info["PS-Adobe"] = k[9:]
+                        else:
+                            self.info[k] = ""
+                    elif s[0] == "%":
+                        # handle non-DSC PostScript comments that some
+                        # tools mistakenly put in the Comments section
+                        pass
+                    else:
+                        msg = "bad EPS header"
+                        raise OSError(msg)
+            elif bytes_mv[:11] == b"%ImageData:":
+                # Check for an "ImageData" descriptor
+                # https://www.adobe.com/devnet-apps/photoshop/fileformatashtml/#50577413_pgfId-1035096
+
+                # If we've already read an "ImageData" descriptor,
+                # don't read another one.
+                if imagedata_size:
+                    bytes_read = 0
+                    continue
+
+                # Values:
+                # columns
+                # rows
+                # bit depth (1 or 8)
+                # mode (1: L, 2: LAB, 3: RGB, 4: CMYK)
+                # number of padding channels
+                # block size (number of bytes per row per channel)
+                # binary/ascii (1: binary, 2: ascii)
+                # data start identifier (the image data follows after a single line
+                #   consisting only of this quoted value)
+                image_data_values = byte_arr[11:bytes_read].split(None, 7)
+                columns, rows, bit_depth, mode_id = (
+                    int(value) for value in image_data_values[:4]
+                )
+
+                if bit_depth == 1:
+                    self._mode = "1"
+                elif bit_depth == 8:
+                    try:
+                        self._mode = self.mode_map[mode_id]
+                    except ValueError:
+                        break
+                else:
+                    break
+
+                # Parse the columns and rows after checking the bit depth and mode
+                # in case the bit depth and/or mode are invalid.
+                imagedata_size = columns, rows
+            elif bytes_mv[:5] == b"%%EOF":
+                break
+            elif trailer_reached and reading_trailer_comments:
+                # Load EPS trailer
+                s = str(bytes_mv[:bytes_read], "latin-1")
+                read_comment(s)
+            elif bytes_mv[:9] == b"%%Trailer":
+                trailer_reached = True
+            bytes_read = 0
+
+        # A "BoundingBox" is always required,
+        # even if an "ImageData" descriptor size exists.
+        if not bounding_box:
+            msg = "cannot determine EPS bounding box"
+            raise OSError(msg)
+
+        # An "ImageData" size takes precedence over the "BoundingBox".
+        self._size = imagedata_size or (
+            bounding_box[2] - bounding_box[0],
+            bounding_box[3] - bounding_box[1],
+        )
+
+        self.tile = [
+            ImageFile._Tile("eps", (0, 0) + self.size, offset, (length, bounding_box))
+        ]
+
+    def _find_offset(self, fp: IO[bytes]) -> tuple[int, int]:
+        s = fp.read(4)
+
+        if s == b"%!PS":
+            # for HEAD without binary preview
+            fp.seek(0, io.SEEK_END)
+            length = fp.tell()
+            offset = 0
+        elif i32(s) == 0xC6D3D0C5:
+            # FIX for: Some EPS file not handled correctly / issue #302
+            # EPS can contain binary data
+            # or start directly with latin coding
+            # more info see:
+            # https://web.archive.org/web/20160528181353/http://partners.adobe.com/public/developer/en/ps/5002.EPSF_Spec.pdf
+            s = fp.read(8)
+            offset = i32(s)
+            length = i32(s, 4)
+        else:
+            msg = "not an EPS file"
+            raise SyntaxError(msg)
+
+        return length, offset
+
+    def load(
+        self, scale: int = 1, transparency: bool = False
+    ) -> Image.core.PixelAccess | None:
+        # Load EPS via Ghostscript
+        if self.tile:
+            self.im = Ghostscript(self.tile, self.size, self.fp, scale, transparency)
+            self._mode = self.im.mode
+            self._size = self.im.size
+            self.tile = []
+        return Image.Image.load(self)
+
+    def load_seek(self, pos: int) -> None:
+        # we can't incrementally load, so force ImageFile.parser to
+        # use our custom load method by defining this method.
+        pass
+
+
+# --------------------------------------------------------------------
+
+
+def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes, eps: int = 1) -> None:
+    """EPS Writer for the Python Imaging Library."""
+
+    # make sure image data is available
+    im.load()
+
+    # determine PostScript image mode
+    if im.mode == "L":
+        operator = (8, 1, b"image")
+    elif im.mode == "RGB":
+        operator = (8, 3, b"false 3 colorimage")
+    elif im.mode == "CMYK":
+        operator = (8, 4, b"false 4 colorimage")
+    else:
+        msg = "image mode is not supported"
+        raise ValueError(msg)
+
+    if eps:
+        # write EPS header
+        fp.write(b"%!PS-Adobe-3.0 EPSF-3.0\n")
+        fp.write(b"%%Creator: PIL 0.1 EpsEncode\n")
+        # fp.write("%%CreationDate: %s"...)
+        fp.write(b"%%%%BoundingBox: 0 0 %d %d\n" % im.size)
+        fp.write(b"%%Pages: 1\n")
+        fp.write(b"%%EndComments\n")
+        fp.write(b"%%Page: 1 1\n")
+        fp.write(b"%%ImageData: %d %d " % im.size)
+        fp.write(b'%d %d 0 1 1 "%s"\n' % operator)
+
+    # image header
+    fp.write(b"gsave\n")
+    fp.write(b"10 dict begin\n")
+    fp.write(b"/buf %d string def\n" % (im.size[0] * operator[1]))
+    fp.write(b"%d %d scale\n" % im.size)
+    fp.write(b"%d %d 8\n" % im.size)  # <= bits
+    fp.write(b"[%d 0 0 -%d 0 %d]\n" % (im.size[0], im.size[1], im.size[1]))
+    fp.write(b"{ currentfile buf readhexstring pop } bind\n")
+    fp.write(operator[2] + b"\n")
+    if hasattr(fp, "flush"):
+        fp.flush()
+
+    ImageFile._save(im, fp, [ImageFile._Tile("eps", (0, 0) + im.size)])
+
+    fp.write(b"\n%%%%EndBinary\n")
+    fp.write(b"grestore end\n")
+    if hasattr(fp, "flush"):
+        fp.flush()
+
+
+# --------------------------------------------------------------------
+
+
+Image.register_open(EpsImageFile.format, EpsImageFile, _accept)
+
+Image.register_save(EpsImageFile.format, _save)
+
+Image.register_extensions(EpsImageFile.format, [".ps", ".eps"])
+
+Image.register_mime(EpsImageFile.format, "application/postscript")

venv/Lib/site-packages/PIL/ExifTags.py

@@ -0,0 +1,382 @@
+#
+# The Python Imaging Library.
+# $Id$
+#
+# EXIF tags
+#
+# Copyright (c) 2003 by Secret Labs AB
+#
+# See the README file for information on usage and redistribution.
+#
+
+"""
+This module provides constants and clear-text names for various
+well-known EXIF tags.
+"""
+from __future__ import annotations
+
+from enum import IntEnum
+
+
+class Base(IntEnum):
+    # possibly incomplete
+    InteropIndex = 0x0001
+    ProcessingSoftware = 0x000B
+    NewSubfileType = 0x00FE
+    SubfileType = 0x00FF
+    ImageWidth = 0x0100
+    ImageLength = 0x0101
+    BitsPerSample = 0x0102
+    Compression = 0x0103
+    PhotometricInterpretation = 0x0106
+    Thresholding = 0x0107
+    CellWidth = 0x0108
+    CellLength = 0x0109
+    FillOrder = 0x010A
+    DocumentName = 0x010D
+    ImageDescription = 0x010E
+    Make = 0x010F
+    Model = 0x0110
+    StripOffsets = 0x0111
+    Orientation = 0x0112
+    SamplesPerPixel = 0x0115
+    RowsPerStrip = 0x0116
+    StripByteCounts = 0x0117
+    MinSampleValue = 0x0118
+    MaxSampleValue = 0x0119
+    XResolution = 0x011A
+    YResolution = 0x011B
+    PlanarConfiguration = 0x011C
+    PageName = 0x011D
+    FreeOffsets = 0x0120
+    FreeByteCounts = 0x0121
+    GrayResponseUnit = 0x0122
+    GrayResponseCurve = 0x0123
+    T4Options = 0x0124
+    T6Options = 0x0125
+    ResolutionUnit = 0x0128
+    PageNumber = 0x0129
+    TransferFunction = 0x012D
+    Software = 0x0131
+    DateTime = 0x0132
+    Artist = 0x013B
+    HostComputer = 0x013C
+    Predictor = 0x013D
+    WhitePoint = 0x013E
+    PrimaryChromaticities = 0x013F
+    ColorMap = 0x0140
+    HalftoneHints = 0x0141
+    TileWidth = 0x0142
+    TileLength = 0x0143
+    TileOffsets = 0x0144
+    TileByteCounts = 0x0145
+    SubIFDs = 0x014A
+    InkSet = 0x014C
+    InkNames = 0x014D
+    NumberOfInks = 0x014E
+    DotRange = 0x0150
+    TargetPrinter = 0x0151
+    ExtraSamples = 0x0152
+    SampleFormat = 0x0153
+    SMinSampleValue = 0x0154
+    SMaxSampleValue = 0x0155
+    TransferRange = 0x0156
+    ClipPath = 0x0157
+    XClipPathUnits = 0x0158
+    YClipPathUnits = 0x0159
+    Indexed = 0x015A
+    JPEGTables = 0x015B
+    OPIProxy = 0x015F
+    JPEGProc = 0x0200
+    JpegIFOffset = 0x0201
+    JpegIFByteCount = 0x0202
+    JpegRestartInterval = 0x0203
+    JpegLosslessPredictors = 0x0205
+    JpegPointTransforms = 0x0206
+    JpegQTables = 0x0207
+    JpegDCTables = 0x0208
+    JpegACTables = 0x0209
+    YCbCrCoefficients = 0x0211
+    YCbCrSubSampling = 0x0212
+    YCbCrPositioning = 0x0213
+    ReferenceBlackWhite = 0x0214
+    XMLPacket = 0x02BC
+    RelatedImageFileFormat = 0x1000
+    RelatedImageWidth = 0x1001
+    RelatedImageLength = 0x1002
+    Rating = 0x4746
+    RatingPercent = 0x4749
+    ImageID = 0x800D
+    CFARepeatPatternDim = 0x828D
+    BatteryLevel = 0x828F
+    Copyright = 0x8298
+    ExposureTime = 0x829A
+    FNumber = 0x829D
+    IPTCNAA = 0x83BB
+    ImageResources = 0x8649
+    ExifOffset = 0x8769
+    InterColorProfile = 0x8773
+    ExposureProgram = 0x8822
+    SpectralSensitivity = 0x8824
+    GPSInfo = 0x8825
+    ISOSpeedRatings = 0x8827
+    OECF = 0x8828
+    Interlace = 0x8829
+    TimeZoneOffset = 0x882A
+    SelfTimerMode = 0x882B
+    SensitivityType = 0x8830
+    StandardOutputSensitivity = 0x8831
+    RecommendedExposureIndex = 0x8832
+    ISOSpeed = 0x8833
+    ISOSpeedLatitudeyyy = 0x8834
+    ISOSpeedLatitudezzz = 0x8835
+    ExifVersion = 0x9000
+    DateTimeOriginal = 0x9003
+    DateTimeDigitized = 0x9004
+    OffsetTime = 0x9010
+    OffsetTimeOriginal = 0x9011
+    OffsetTimeDigitized = 0x9012
+    ComponentsConfiguration = 0x9101
+    CompressedBitsPerPixel = 0x9102
+    ShutterSpeedValue = 0x9201
+    ApertureValue = 0x9202
+    BrightnessValue = 0x9203
+    ExposureBiasValue = 0x9204
+    MaxApertureValue = 0x9205
+    SubjectDistance = 0x9206
+    MeteringMode = 0x9207
+    LightSource = 0x9208
+    Flash = 0x9209
+    FocalLength = 0x920A
+    Noise = 0x920D
+    ImageNumber = 0x9211
+    SecurityClassification = 0x9212
+    ImageHistory = 0x9213
+    TIFFEPStandardID = 0x9216
+    MakerNote = 0x927C
+    UserComment = 0x9286
+    SubsecTime = 0x9290
+    SubsecTimeOriginal = 0x9291
+    SubsecTimeDigitized = 0x9292
+    AmbientTemperature = 0x9400
+    Humidity = 0x9401
+    Pressure = 0x9402
+    WaterDepth = 0x9403
+    Acceleration = 0x9404
+    CameraElevationAngle = 0x9405
+    XPTitle = 0x9C9B
+    XPComment = 0x9C9C
+    XPAuthor = 0x9C9D
+    XPKeywords = 0x9C9E
+    XPSubject = 0x9C9F
+    FlashPixVersion = 0xA000
+    ColorSpace = 0xA001
+    ExifImageWidth = 0xA002
+    ExifImageHeight = 0xA003
+    RelatedSoundFile = 0xA004
+    ExifInteroperabilityOffset = 0xA005
+    FlashEnergy = 0xA20B
+    SpatialFrequencyResponse = 0xA20C
+    FocalPlaneXResolution = 0xA20E
+    FocalPlaneYResolution = 0xA20F
+    FocalPlaneResolutionUnit = 0xA210
+    SubjectLocation = 0xA214
+    ExposureIndex = 0xA215
+    SensingMethod = 0xA217
+    FileSource = 0xA300
+    SceneType = 0xA301
+    CFAPattern = 0xA302
+    CustomRendered = 0xA401
+    ExposureMode = 0xA402
+    WhiteBalance = 0xA403
+    DigitalZoomRatio = 0xA404
+    FocalLengthIn35mmFilm = 0xA405
+    SceneCaptureType = 0xA406
+    GainControl = 0xA407
+    Contrast = 0xA408
+    Saturation = 0xA409
+    Sharpness = 0xA40A
+    DeviceSettingDescription = 0xA40B
+    SubjectDistanceRange = 0xA40C
+    ImageUniqueID = 0xA420
+    CameraOwnerName = 0xA430
+    BodySerialNumber = 0xA431
+    LensSpecification = 0xA432
+    LensMake = 0xA433
+    LensModel = 0xA434
+    LensSerialNumber = 0xA435
+    CompositeImage = 0xA460
+    CompositeImageCount = 0xA461
+    CompositeImageExposureTimes = 0xA462
+    Gamma = 0xA500
+    PrintImageMatching = 0xC4A5
+    DNGVersion = 0xC612
+    DNGBackwardVersion = 0xC613
+    UniqueCameraModel = 0xC614
+    LocalizedCameraModel = 0xC615
+    CFAPlaneColor = 0xC616
+    CFALayout = 0xC617
+    LinearizationTable = 0xC618
+    BlackLevelRepeatDim = 0xC619
+    BlackLevel = 0xC61A
+    BlackLevelDeltaH = 0xC61B
+    BlackLevelDeltaV = 0xC61C
+    WhiteLevel = 0xC61D
+    DefaultScale = 0xC61E
+    DefaultCropOrigin = 0xC61F
+    DefaultCropSize = 0xC620
+    ColorMatrix1 = 0xC621
+    ColorMatrix2 = 0xC622
+    CameraCalibration1 = 0xC623
+    CameraCalibration2 = 0xC624
+    ReductionMatrix1 = 0xC625
+    ReductionMatrix2 = 0xC626
+    AnalogBalance = 0xC627
+    AsShotNeutral = 0xC628
+    AsShotWhiteXY = 0xC629
+    BaselineExposure = 0xC62A
+    BaselineNoise = 0xC62B
+    BaselineSharpness = 0xC62C
+    BayerGreenSplit = 0xC62D
+    LinearResponseLimit = 0xC62E
+    CameraSerialNumber = 0xC62F
+    LensInfo = 0xC630
+    ChromaBlurRadius = 0xC631
+    AntiAliasStrength = 0xC632
+    ShadowScale = 0xC633
+    DNGPrivateData = 0xC634
+    MakerNoteSafety = 0xC635
+    CalibrationIlluminant1 = 0xC65A
+    CalibrationIlluminant2 = 0xC65B
+    BestQualityScale = 0xC65C
+    RawDataUniqueID = 0xC65D
+    OriginalRawFileName = 0xC68B
+    OriginalRawFileData = 0xC68C
+    ActiveArea = 0xC68D
+    MaskedAreas = 0xC68E
+    AsShotICCProfile = 0xC68F
+    AsShotPreProfileMatrix = 0xC690
+    CurrentICCProfile = 0xC691
+    CurrentPreProfileMatrix = 0xC692
+    ColorimetricReference = 0xC6BF
+    CameraCalibrationSignature = 0xC6F3
+    ProfileCalibrationSignature = 0xC6F4
+    AsShotProfileName = 0xC6F6
+    NoiseReductionApplied = 0xC6F7
+    ProfileName = 0xC6F8
+    ProfileHueSatMapDims = 0xC6F9
+    ProfileHueSatMapData1 = 0xC6FA
+    ProfileHueSatMapData2 = 0xC6FB
+    ProfileToneCurve = 0xC6FC
+    ProfileEmbedPolicy = 0xC6FD
+    ProfileCopyright = 0xC6FE
+    ForwardMatrix1 = 0xC714
+    ForwardMatrix2 = 0xC715
+    PreviewApplicationName = 0xC716
+    PreviewApplicationVersion = 0xC717
+    PreviewSettingsName = 0xC718
+    PreviewSettingsDigest = 0xC719
+    PreviewColorSpace = 0xC71A
+    PreviewDateTime = 0xC71B
+    RawImageDigest = 0xC71C
+    OriginalRawFileDigest = 0xC71D
+    SubTileBlockSize = 0xC71E
+    RowInterleaveFactor = 0xC71F
+    ProfileLookTableDims = 0xC725
+    ProfileLookTableData = 0xC726
+    OpcodeList1 = 0xC740
+    OpcodeList2 = 0xC741
+    OpcodeList3 = 0xC74E
+    NoiseProfile = 0xC761
+
+
+"""Maps EXIF tags to tag names."""
+TAGS = {
+    **{i.value: i.name for i in Base},
+    0x920C: "SpatialFrequencyResponse",
+    0x9214: "SubjectLocation",
+    0x9215: "ExposureIndex",
+    0x828E: "CFAPattern",
+    0x920B: "FlashEnergy",
+    0x9216: "TIFF/EPStandardID",
+}
+
+
+class GPS(IntEnum):
+    GPSVersionID = 0x00
+    GPSLatitudeRef = 0x01
+    GPSLatitude = 0x02
+    GPSLongitudeRef = 0x03
+    GPSLongitude = 0x04
+    GPSAltitudeRef = 0x05
+    GPSAltitude = 0x06
+    GPSTimeStamp = 0x07
+    GPSSatellites = 0x08
+    GPSStatus = 0x09
+    GPSMeasureMode = 0x0A
+    GPSDOP = 0x0B
+    GPSSpeedRef = 0x0C
+    GPSSpeed = 0x0D
+    GPSTrackRef = 0x0E
+    GPSTrack = 0x0F
+    GPSImgDirectionRef = 0x10
+    GPSImgDirection = 0x11
+    GPSMapDatum = 0x12
+    GPSDestLatitudeRef = 0x13
+    GPSDestLatitude = 0x14
+    GPSDestLongitudeRef = 0x15
+    GPSDestLongitude = 0x16
+    GPSDestBearingRef = 0x17
+    GPSDestBearing = 0x18
+    GPSDestDistanceRef = 0x19
+    GPSDestDistance = 0x1A
+    GPSProcessingMethod = 0x1B
+    GPSAreaInformation = 0x1C
+    GPSDateStamp = 0x1D
+    GPSDifferential = 0x1E
+    GPSHPositioningError = 0x1F
+
+
+"""Maps EXIF GPS tags to tag names."""
+GPSTAGS = {i.value: i.name for i in GPS}
+
+
+class Interop(IntEnum):
+    InteropIndex = 0x0001
+    InteropVersion = 0x0002
+    RelatedImageFileFormat = 0x1000
+    RelatedImageWidth = 0x1001
+    RelatedImageHeight = 0x1002
+
+
+class IFD(IntEnum):
+    Exif = 0x8769
+    GPSInfo = 0x8825
+    MakerNote = 0x927C
+    Makernote = 0x927C  # Deprecated
+    Interop = 0xA005
+    IFD1 = -1
+
+
+class LightSource(IntEnum):
+    Unknown = 0x00
+    Daylight = 0x01
+    Fluorescent = 0x02
+    Tungsten = 0x03
+    Flash = 0x04
+    Fine = 0x09
+    Cloudy = 0x0A
+    Shade = 0x0B
+    DaylightFluorescent = 0x0C
+    DayWhiteFluorescent = 0x0D
+    CoolWhiteFluorescent = 0x0E
+    WhiteFluorescent = 0x0F
+    StandardLightA = 0x11
+    StandardLightB = 0x12
+    StandardLightC = 0x13
+    D55 = 0x14
+    D65 = 0x15
+    D75 = 0x16
+    D50 = 0x17
+    ISO = 0x18
+    Other = 0xFF

venv/Lib/site-packages/PIL/FitsImagePlugin.py

@@ -0,0 +1,152 @@
+#
+# The Python Imaging Library
+# $Id$
+#
+# FITS file handling
+#
+# Copyright (c) 1998-2003 by Fredrik Lundh
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+import gzip
+import math
+
+from . import Image, ImageFile
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith(b"SIMPLE")
+
+
+class FitsImageFile(ImageFile.ImageFile):
+    format = "FITS"
+    format_description = "FITS"
+
+    def _open(self) -> None:
+        assert self.fp is not None
+
+        headers: dict[bytes, bytes] = {}
+        header_in_progress = False
+        decoder_name = ""
+        while True:
+            header = self.fp.read(80)
+            if not header:
+                msg = "Truncated FITS file"
+                raise OSError(msg)
+            keyword = header[:8].strip()
+            if keyword in (b"SIMPLE", b"XTENSION"):
+                header_in_progress = True
+            elif headers and not header_in_progress:
+                # This is now a data unit
+                break
+            elif keyword == b"END":
+                # Seek to the end of the header unit
+                self.fp.seek(math.ceil(self.fp.tell() / 2880) * 2880)
+                if not decoder_name:
+                    decoder_name, offset, args = self._parse_headers(headers)
+
+                header_in_progress = False
+                continue
+
+            if decoder_name:
+                # Keep going to read past the headers
+                continue
+
+            value = header[8:].split(b"/")[0].strip()
+            if value.startswith(b"="):
+                value = value[1:].strip()
+            if not headers and (not _accept(keyword) or value != b"T"):
+                msg = "Not a FITS file"
+                raise SyntaxError(msg)
+            headers[keyword] = value
+
+        if not decoder_name:
+            msg = "No image data"
+            raise ValueError(msg)
+
+        offset += self.fp.tell() - 80
+        self.tile = [ImageFile._Tile(decoder_name, (0, 0) + self.size, offset, args)]
+
+    def _get_size(
+        self, headers: dict[bytes, bytes], prefix: bytes
+    ) -> tuple[int, int] | None:
+        naxis = int(headers[prefix + b"NAXIS"])
+        if naxis == 0:
+            return None
+
+        if naxis == 1:
+            return 1, int(headers[prefix + b"NAXIS1"])
+        else:
+            return int(headers[prefix + b"NAXIS1"]), int(headers[prefix + b"NAXIS2"])
+
+    def _parse_headers(
+        self, headers: dict[bytes, bytes]
+    ) -> tuple[str, int, tuple[str | int, ...]]:
+        prefix = b""
+        decoder_name = "raw"
+        offset = 0
+        if (
+            headers.get(b"XTENSION") == b"'BINTABLE'"
+            and headers.get(b"ZIMAGE") == b"T"
+            and headers[b"ZCMPTYPE"] == b"'GZIP_1  '"
+        ):
+            no_prefix_size = self._get_size(headers, prefix) or (0, 0)
+            number_of_bits = int(headers[b"BITPIX"])
+            offset = no_prefix_size[0] * no_prefix_size[1] * (number_of_bits // 8)
+
+            prefix = b"Z"
+            decoder_name = "fits_gzip"
+
+        size = self._get_size(headers, prefix)
+        if not size:
+            return "", 0, ()
+
+        self._size = size
+
+        number_of_bits = int(headers[prefix + b"BITPIX"])
+        if number_of_bits == 8:
+            self._mode = "L"
+        elif number_of_bits == 16:
+            self._mode = "I;16"
+        elif number_of_bits == 32:
+            self._mode = "I"
+        elif number_of_bits in (-32, -64):
+            self._mode = "F"
+
+        args: tuple[str | int, ...]
+        if decoder_name == "raw":
+            args = (self.mode, 0, -1)
+        else:
+            args = (number_of_bits,)
+        return decoder_name, offset, args
+
+
+class FitsGzipDecoder(ImageFile.PyDecoder):
+    _pulls_fd = True
+
+    def decode(self, buffer: bytes | Image.SupportsArrayInterface) -> tuple[int, int]:
+        assert self.fd is not None
+        value = gzip.decompress(self.fd.read())
+
+        rows = []
+        offset = 0
+        number_of_bits = min(self.args[0] // 8, 4)
+        for y in range(self.state.ysize):
+            row = bytearray()
+            for x in range(self.state.xsize):
+                row += value[offset + (4 - number_of_bits) : offset + 4]
+                offset += 4
+            rows.append(row)
+        self.set_as_raw(bytes([pixel for row in rows[::-1] for pixel in row]))
+        return -1, 0
+
+
+# --------------------------------------------------------------------
+# Registry
+
+Image.register_open(FitsImageFile.format, FitsImageFile, _accept)
+Image.register_decoder("fits_gzip", FitsGzipDecoder)
+
+Image.register_extensions(FitsImageFile.format, [".fit", ".fits"])

venv/Lib/site-packages/PIL/FliImagePlugin.py

@@ -0,0 +1,178 @@
+#
+# The Python Imaging Library.
+# $Id$
+#
+# FLI/FLC file handling.
+#
+# History:
+#       95-09-01 fl     Created
+#       97-01-03 fl     Fixed parser, setup decoder tile
+#       98-07-15 fl     Renamed offset attribute to avoid name clash
+#
+# Copyright (c) Secret Labs AB 1997-98.
+# Copyright (c) Fredrik Lundh 1995-97.
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+import os
+
+from . import Image, ImageFile, ImagePalette
+from ._binary import i16le as i16
+from ._binary import i32le as i32
+from ._binary import o8
+from ._util import DeferredError
+
+#
+# decoder
+
+
+def _accept(prefix: bytes) -> bool:
+    return (
+        len(prefix) >= 6
+        and i16(prefix, 4) in [0xAF11, 0xAF12]
+        and i16(prefix, 14) in [0, 3]  # flags
+    )
+
+
+##
+# Image plugin for the FLI/FLC animation format.  Use the <b>seek</b>
+# method to load individual frames.
+
+
+class FliImageFile(ImageFile.ImageFile):
+    format = "FLI"
+    format_description = "Autodesk FLI/FLC Animation"
+    _close_exclusive_fp_after_loading = False
+
+    def _open(self) -> None:
+        # HEAD
+        s = self.fp.read(128)
+        if not (_accept(s) and s[20:22] == b"\x00\x00"):
+            msg = "not an FLI/FLC file"
+            raise SyntaxError(msg)
+
+        # frames
+        self.n_frames = i16(s, 6)
+        self.is_animated = self.n_frames > 1
+
+        # image characteristics
+        self._mode = "P"
+        self._size = i16(s, 8), i16(s, 10)
+
+        # animation speed
+        duration = i32(s, 16)
+        magic = i16(s, 4)
+        if magic == 0xAF11:
+            duration = (duration * 1000) // 70
+        self.info["duration"] = duration
+
+        # look for palette
+        palette = [(a, a, a) for a in range(256)]
+
+        s = self.fp.read(16)
+
+        self.__offset = 128
+
+        if i16(s, 4) == 0xF100:
+            # prefix chunk; ignore it
+            self.__offset = self.__offset + i32(s)
+            self.fp.seek(self.__offset)
+            s = self.fp.read(16)
+
+        if i16(s, 4) == 0xF1FA:
+            # look for palette chunk
+            number_of_subchunks = i16(s, 6)
+            chunk_size: int | None = None
+            for _ in range(number_of_subchunks):
+                if chunk_size is not None:
+                    self.fp.seek(chunk_size - 6, os.SEEK_CUR)
+                s = self.fp.read(6)
+                chunk_type = i16(s, 4)
+                if chunk_type in (4, 11):
+                    self._palette(palette, 2 if chunk_type == 11 else 0)
+                    break
+                chunk_size = i32(s)
+                if not chunk_size:
+                    break
+
+        self.palette = ImagePalette.raw(
+            "RGB", b"".join(o8(r) + o8(g) + o8(b) for (r, g, b) in palette)
+        )
+
+        # set things up to decode first frame
+        self.__frame = -1
+        self._fp = self.fp
+        self.__rewind = self.fp.tell()
+        self.seek(0)
+
+    def _palette(self, palette: list[tuple[int, int, int]], shift: int) -> None:
+        # load palette
+
+        i = 0
+        for e in range(i16(self.fp.read(2))):
+            s = self.fp.read(2)
+            i = i + s[0]
+            n = s[1]
+            if n == 0:
+                n = 256
+            s = self.fp.read(n * 3)
+            for n in range(0, len(s), 3):
+                r = s[n] << shift
+                g = s[n + 1] << shift
+                b = s[n + 2] << shift
+                palette[i] = (r, g, b)
+                i += 1
+
+    def seek(self, frame: int) -> None:
+        if not self._seek_check(frame):
+            return
+        if frame < self.__frame:
+            self._seek(0)
+
+        for f in range(self.__frame + 1, frame + 1):
+            self._seek(f)
+
+    def _seek(self, frame: int) -> None:
+        if isinstance(self._fp, DeferredError):
+            raise self._fp.ex
+        if frame == 0:
+            self.__frame = -1
+            self._fp.seek(self.__rewind)
+            self.__offset = 128
+        else:
+            # ensure that the previous frame was loaded
+            self.load()
+
+        if frame != self.__frame + 1:
+            msg = f"cannot seek to frame {frame}"
+            raise ValueError(msg)
+        self.__frame = frame
+
+        # move to next frame
+        self.fp = self._fp
+        self.fp.seek(self.__offset)
+
+        s = self.fp.read(4)
+        if not s:
+            msg = "missing frame size"
+            raise EOFError(msg)
+
+        framesize = i32(s)
+
+        self.decodermaxblock = framesize
+        self.tile = [ImageFile._Tile("fli", (0, 0) + self.size, self.__offset)]
+
+        self.__offset += framesize
+
+    def tell(self) -> int:
+        return self.__frame
+
+
+#
+# registry
+
+Image.register_open(FliImageFile.format, FliImageFile, _accept)
+
+Image.register_extensions(FliImageFile.format, [".fli", ".flc"])

venv/Lib/site-packages/PIL/FontFile.py

@@ -0,0 +1,134 @@
+#
+# The Python Imaging Library
+# $Id$
+#
+# base class for raster font file parsers
+#
+# history:
+# 1997-06-05 fl   created
+# 1997-08-19 fl   restrict image width
+#
+# Copyright (c) 1997-1998 by Secret Labs AB
+# Copyright (c) 1997-1998 by Fredrik Lundh
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+import os
+from typing import BinaryIO
+
+from . import Image, _binary
+
+WIDTH = 800
+
+
+def puti16(
+    fp: BinaryIO, values: tuple[int, int, int, int, int, int, int, int, int, int]
+) -> None:
+    """Write network order (big-endian) 16-bit sequence"""
+    for v in values:
+        if v < 0:
+            v += 65536
+        fp.write(_binary.o16be(v))
+
+
+class FontFile:
+    """Base class for raster font file handlers."""
+
+    bitmap: Image.Image | None = None
+
+    def __init__(self) -> None:
+        self.info: dict[bytes, bytes | int] = {}
+        self.glyph: list[
+            tuple[
+                tuple[int, int],
+                tuple[int, int, int, int],
+                tuple[int, int, int, int],
+                Image.Image,
+            ]
+            | None
+        ] = [None] * 256
+
+    def __getitem__(self, ix: int) -> (
+        tuple[
+            tuple[int, int],
+            tuple[int, int, int, int],
+            tuple[int, int, int, int],
+            Image.Image,
+        ]
+        | None
+    ):
+        return self.glyph[ix]
+
+    def compile(self) -> None:
+        """Create metrics and bitmap"""
+
+        if self.bitmap:
+            return
+
+        # create bitmap large enough to hold all data
+        h = w = maxwidth = 0
+        lines = 1
+        for glyph in self.glyph:
+            if glyph:
+                d, dst, src, im = glyph
+                h = max(h, src[3] - src[1])
+                w = w + (src[2] - src[0])
+                if w > WIDTH:
+                    lines += 1
+                    w = src[2] - src[0]
+                maxwidth = max(maxwidth, w)
+
+        xsize = maxwidth
+        ysize = lines * h
+
+        if xsize == 0 and ysize == 0:
+            return
+
+        self.ysize = h
+
+        # paste glyphs into bitmap
+        self.bitmap = Image.new("1", (xsize, ysize))
+        self.metrics: list[
+            tuple[tuple[int, int], tuple[int, int, int, int], tuple[int, int, int, int]]
+            | None
+        ] = [None] * 256
+        x = y = 0
+        for i in range(256):
+            glyph = self[i]
+            if glyph:
+                d, dst, src, im = glyph
+                xx = src[2] - src[0]
+                x0, y0 = x, y
+                x = x + xx
+                if x > WIDTH:
+                    x, y = 0, y + h
+                    x0, y0 = x, y
+                    x = xx
+                s = src[0] + x0, src[1] + y0, src[2] + x0, src[3] + y0
+                self.bitmap.paste(im.crop(src), s)
+                self.metrics[i] = d, dst, s
+
+    def save(self, filename: str) -> None:
+        """Save font"""
+
+        self.compile()
+
+        # font data
+        if not self.bitmap:
+            msg = "No bitmap created"
+            raise ValueError(msg)
+        self.bitmap.save(os.path.splitext(filename)[0] + ".pbm", "PNG")
+
+        # font metrics
+        with open(os.path.splitext(filename)[0] + ".pil", "wb") as fp:
+            fp.write(b"PILfont\n")
+            fp.write(f";;;;;;{self.ysize};\n".encode("ascii"))  # HACK!!!
+            fp.write(b"DATA\n")
+            for id in range(256):
+                m = self.metrics[id]
+                if not m:
+                    puti16(fp, (0,) * 10)
+                else:
+                    puti16(fp, m[0] + m[1] + m[2])

venv/Lib/site-packages/PIL/FpxImagePlugin.py

@@ -0,0 +1,257 @@
+#
+# THIS IS WORK IN PROGRESS
+#
+# The Python Imaging Library.
+# $Id$
+#
+# FlashPix support for PIL
+#
+# History:
+# 97-01-25 fl   Created (reads uncompressed RGB images only)
+#
+# Copyright (c) Secret Labs AB 1997.
+# Copyright (c) Fredrik Lundh 1997.
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+import olefile
+
+from . import Image, ImageFile
+from ._binary import i32le as i32
+
+# we map from colour field tuples to (mode, rawmode) descriptors
+MODES = {
+    # opacity
+    (0x00007FFE,): ("A", "L"),
+    # monochrome
+    (0x00010000,): ("L", "L"),
+    (0x00018000, 0x00017FFE): ("RGBA", "LA"),
+    # photo YCC
+    (0x00020000, 0x00020001, 0x00020002): ("RGB", "YCC;P"),
+    (0x00028000, 0x00028001, 0x00028002, 0x00027FFE): ("RGBA", "YCCA;P"),
+    # standard RGB (NIFRGB)
+    (0x00030000, 0x00030001, 0x00030002): ("RGB", "RGB"),
+    (0x00038000, 0x00038001, 0x00038002, 0x00037FFE): ("RGBA", "RGBA"),
+}
+
+
+#
+# --------------------------------------------------------------------
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith(olefile.MAGIC)
+
+
+##
+# Image plugin for the FlashPix images.
+
+
+class FpxImageFile(ImageFile.ImageFile):
+    format = "FPX"
+    format_description = "FlashPix"
+
+    def _open(self) -> None:
+        #
+        # read the OLE directory and see if this is a likely
+        # to be a FlashPix file
+
+        try:
+            self.ole = olefile.OleFileIO(self.fp)
+        except OSError as e:
+            msg = "not an FPX file; invalid OLE file"
+            raise SyntaxError(msg) from e
+
+        root = self.ole.root
+        if not root or root.clsid != "56616700-C154-11CE-8553-00AA00A1F95B":
+            msg = "not an FPX file; bad root CLSID"
+            raise SyntaxError(msg)
+
+        self._open_index(1)
+
+    def _open_index(self, index: int = 1) -> None:
+        #
+        # get the Image Contents Property Set
+
+        prop = self.ole.getproperties(
+            [f"Data Object Store {index:06d}", "\005Image Contents"]
+        )
+
+        # size (highest resolution)
+
+        assert isinstance(prop[0x1000002], int)
+        assert isinstance(prop[0x1000003], int)
+        self._size = prop[0x1000002], prop[0x1000003]
+
+        size = max(self.size)
+        i = 1
+        while size > 64:
+            size = size // 2
+            i += 1
+        self.maxid = i - 1
+
+        # mode.  instead of using a single field for this, flashpix
+        # requires you to specify the mode for each channel in each
+        # resolution subimage, and leaves it to the decoder to make
+        # sure that they all match.  for now, we'll cheat and assume
+        # that this is always the case.
+
+        id = self.maxid << 16
+
+        s = prop[0x2000002 | id]
+
+        if not isinstance(s, bytes) or (bands := i32(s, 4)) > 4:
+            msg = "Invalid number of bands"
+            raise OSError(msg)
+
+        # note: for now, we ignore the "uncalibrated" flag
+        colors = tuple(i32(s, 8 + i * 4) & 0x7FFFFFFF for i in range(bands))
+
+        self._mode, self.rawmode = MODES[colors]
+
+        # load JPEG tables, if any
+        self.jpeg = {}
+        for i in range(256):
+            id = 0x3000001 | (i << 16)
+            if id in prop:
+                self.jpeg[i] = prop[id]
+
+        self._open_subimage(1, self.maxid)
+
+    def _open_subimage(self, index: int = 1, subimage: int = 0) -> None:
+        #
+        # setup tile descriptors for a given subimage
+
+        stream = [
+            f"Data Object Store {index:06d}",
+            f"Resolution {subimage:04d}",
+            "Subimage 0000 Header",
+        ]
+
+        fp = self.ole.openstream(stream)
+
+        # skip prefix
+        fp.read(28)
+
+        # header stream
+        s = fp.read(36)
+
+        size = i32(s, 4), i32(s, 8)
+        # tilecount = i32(s, 12)
+        tilesize = i32(s, 16), i32(s, 20)
+        # channels = i32(s, 24)
+        offset = i32(s, 28)
+        length = i32(s, 32)
+
+        if size != self.size:
+            msg = "subimage mismatch"
+            raise OSError(msg)
+
+        # get tile descriptors
+        fp.seek(28 + offset)
+        s = fp.read(i32(s, 12) * length)
+
+        x = y = 0
+        xsize, ysize = size
+        xtile, ytile = tilesize
+        self.tile = []
+
+        for i in range(0, len(s), length):
+            x1 = min(xsize, x + xtile)
+            y1 = min(ysize, y + ytile)
+
+            compression = i32(s, i + 8)
+
+            if compression == 0:
+                self.tile.append(
+                    ImageFile._Tile(
+                        "raw",
+                        (x, y, x1, y1),
+                        i32(s, i) + 28,
+                        self.rawmode,
+                    )
+                )
+
+            elif compression == 1:
+                # FIXME: the fill decoder is not implemented
+                self.tile.append(
+                    ImageFile._Tile(
+                        "fill",
+                        (x, y, x1, y1),
+                        i32(s, i) + 28,
+                        (self.rawmode, s[12:16]),
+                    )
+                )
+
+            elif compression == 2:
+                internal_color_conversion = s[14]
+                jpeg_tables = s[15]
+                rawmode = self.rawmode
+
+                if internal_color_conversion:
+                    # The image is stored as usual (usually YCbCr).
+                    if rawmode == "RGBA":
+                        # For "RGBA", data is stored as YCbCrA based on
+                        # negative RGB. The following trick works around
+                        # this problem :
+                        jpegmode, rawmode = "YCbCrK", "CMYK"
+                    else:
+                        jpegmode = None  # let the decoder decide
+
+                else:
+                    # The image is stored as defined by rawmode
+                    jpegmode = rawmode
+
+                self.tile.append(
+                    ImageFile._Tile(
+                        "jpeg",
+                        (x, y, x1, y1),
+                        i32(s, i) + 28,
+                        (rawmode, jpegmode),
+                    )
+                )
+
+                # FIXME: jpeg tables are tile dependent; the prefix
+                # data must be placed in the tile descriptor itself!
+
+                if jpeg_tables:
+                    self.tile_prefix = self.jpeg[jpeg_tables]
+
+            else:
+                msg = "unknown/invalid compression"
+                raise OSError(msg)
+
+            x = x + xtile
+            if x >= xsize:
+                x, y = 0, y + ytile
+                if y >= ysize:
+                    break  # isn't really required
+
+        self.stream = stream
+        self._fp = self.fp
+        self.fp = None
+
+    def load(self) -> Image.core.PixelAccess | None:
+        if not self.fp:
+            self.fp = self.ole.openstream(self.stream[:2] + ["Subimage 0000 Data"])
+
+        return ImageFile.ImageFile.load(self)
+
+    def close(self) -> None:
+        self.ole.close()
+        super().close()
+
+    def __exit__(self, *args: object) -> None:
+        self.ole.close()
+        super().__exit__()
+
+
+#
+# --------------------------------------------------------------------
+
+
+Image.register_open(FpxImageFile.format, FpxImageFile, _accept)
+
+Image.register_extension(FpxImageFile.format, ".fpx")

venv/Lib/site-packages/PIL/FtexImagePlugin.py

@@ -0,0 +1,114 @@
+"""
+A Pillow loader for .ftc and .ftu files (FTEX)
+Jerome Leclanche <jerome@leclan.ch>
+
+The contents of this file are hereby released in the public domain (CC0)
+Full text of the CC0 license:
+  https://creativecommons.org/publicdomain/zero/1.0/
+
+Independence War 2: Edge Of Chaos - Texture File Format - 16 October 2001
+
+The textures used for 3D objects in Independence War 2: Edge Of Chaos are in a
+packed custom format called FTEX. This file format uses file extensions FTC
+and FTU.
+* FTC files are compressed textures (using standard texture compression).
+* FTU files are not compressed.
+Texture File Format
+The FTC and FTU texture files both use the same format. This
+has the following structure:
+{header}
+{format_directory}
+{data}
+Where:
+{header} = {
+    u32:magic,
+    u32:version,
+    u32:width,
+    u32:height,
+    u32:mipmap_count,
+    u32:format_count
+}
+
+* The "magic" number is "FTEX".
+* "width" and "height" are the dimensions of the texture.
+* "mipmap_count" is the number of mipmaps in the texture.
+* "format_count" is the number of texture formats (different versions of the
+same texture) in this file.
+
+{format_directory} = format_count * { u32:format, u32:where }
+
+The format value is 0 for DXT1 compressed textures and 1 for 24-bit RGB
+uncompressed textures.
+The texture data for a format starts at the position "where" in the file.
+
+Each set of texture data in the file has the following structure:
+{data} = format_count * { u32:mipmap_size, mipmap_size * { u8 } }
+* "mipmap_size" is the number of bytes in that mip level. For compressed
+textures this is the size of the texture data compressed with DXT1. For 24 bit
+uncompressed textures, this is 3 * width * height. Following this are the image
+bytes for that mipmap level.
+
+Note: All data is stored in little-Endian (Intel) byte order.
+"""
+
+from __future__ import annotations
+
+import struct
+from enum import IntEnum
+from io import BytesIO
+
+from . import Image, ImageFile
+
+MAGIC = b"FTEX"
+
+
+class Format(IntEnum):
+    DXT1 = 0
+    UNCOMPRESSED = 1
+
+
+class FtexImageFile(ImageFile.ImageFile):
+    format = "FTEX"
+    format_description = "Texture File Format (IW2:EOC)"
+
+    def _open(self) -> None:
+        if not _accept(self.fp.read(4)):
+            msg = "not an FTEX file"
+            raise SyntaxError(msg)
+        struct.unpack("<i", self.fp.read(4))  # version
+        self._size = struct.unpack("<2i", self.fp.read(8))
+        mipmap_count, format_count = struct.unpack("<2i", self.fp.read(8))
+
+        # Only support single-format files.
+        # I don't know of any multi-format file.
+        assert format_count == 1
+
+        format, where = struct.unpack("<2i", self.fp.read(8))
+        self.fp.seek(where)
+        (mipmap_size,) = struct.unpack("<i", self.fp.read(4))
+
+        data = self.fp.read(mipmap_size)
+
+        if format == Format.DXT1:
+            self._mode = "RGBA"
+            self.tile = [ImageFile._Tile("bcn", (0, 0) + self.size, 0, (1,))]
+        elif format == Format.UNCOMPRESSED:
+            self._mode = "RGB"
+            self.tile = [ImageFile._Tile("raw", (0, 0) + self.size, 0, "RGB")]
+        else:
+            msg = f"Invalid texture compression format: {repr(format)}"
+            raise ValueError(msg)
+
+        self.fp.close()
+        self.fp = BytesIO(data)
+
+    def load_seek(self, pos: int) -> None:
+        pass
+
+
+def _accept(prefix: bytes) -> bool:
+    return prefix.startswith(MAGIC)
+
+
+Image.register_open(FtexImageFile.format, FtexImageFile, _accept)
+Image.register_extensions(FtexImageFile.format, [".ftc", ".ftu"])

venv/Lib/site-packages/PIL/GbrImagePlugin.py

@@ -0,0 +1,103 @@
+#
+# The Python Imaging Library
+#
+# load a GIMP brush file
+#
+# History:
+#       96-03-14 fl     Created
+#       16-01-08 es     Version 2
+#
+# Copyright (c) Secret Labs AB 1997.
+# Copyright (c) Fredrik Lundh 1996.
+# Copyright (c) Eric Soroos 2016.
+#
+# See the README file for information on usage and redistribution.
+#
+#
+# See https://github.com/GNOME/gimp/blob/mainline/devel-docs/gbr.txt for
+# format documentation.
+#
+# This code Interprets version 1 and 2 .gbr files.
+# Version 1 files are obsolete, and should not be used for new
+#   brushes.
+# Version 2 files are saved by GIMP v2.8 (at least)
+# Version 3 files have a format specifier of 18 for 16bit floats in
+#   the color depth field. This is currently unsupported by Pillow.
+from __future__ import annotations
+
+from . import Image, ImageFile
+from ._binary import i32be as i32
+
+
+def _accept(prefix: bytes) -> bool:
+    return len(prefix) >= 8 and i32(prefix, 0) >= 20 and i32(prefix, 4) in (1, 2)
+
+
+##
+# Image plugin for the GIMP brush format.
+
+
+class GbrImageFile(ImageFile.ImageFile):
+    format = "GBR"
+    format_description = "GIMP brush file"
+
+    def _open(self) -> None:
+        header_size = i32(self.fp.read(4))
+        if header_size < 20:
+            msg = "not a GIMP brush"
+            raise SyntaxError(msg)
+        version = i32(self.fp.read(4))
+        if version not in (1, 2):
+            msg = f"Unsupported GIMP brush version: {version}"
+            raise SyntaxError(msg)
+
+        width = i32(self.fp.read(4))
+        height = i32(self.fp.read(4))
+        color_depth = i32(self.fp.read(4))
+        if width <= 0 or height <= 0:
+            msg = "not a GIMP brush"
+            raise SyntaxError(msg)
+        if color_depth not in (1, 4):
+            msg = f"Unsupported GIMP brush color depth: {color_depth}"
+            raise SyntaxError(msg)
+
+        if version == 1:
+            comment_length = header_size - 20
+        else:
+            comment_length = header_size - 28
+            magic_number = self.fp.read(4)
+            if magic_number != b"GIMP":
+                msg = "not a GIMP brush, bad magic number"
+                raise SyntaxError(msg)
+            self.info["spacing"] = i32(self.fp.read(4))
+
+        comment = self.fp.read(comment_length)[:-1]
+
+        if color_depth == 1:
+            self._mode = "L"
+        else:
+            self._mode = "RGBA"
+
+        self._size = width, height
+
+        self.info["comment"] = comment
+
+        # Image might not be small
+        Image._decompression_bomb_check(self.size)
+
+        # Data is an uncompressed block of w * h * bytes/pixel
+        self._data_size = width * height * color_depth
+
+    def load(self) -> Image.core.PixelAccess | None:
+        if self._im is None:
+            self.im = Image.core.new(self.mode, self.size)
+            self.frombytes(self.fp.read(self._data_size))
+        return Image.Image.load(self)
+
+
+#
+# registry
+
+
+Image.register_open(GbrImageFile.format, GbrImageFile, _accept)
+Image.register_extension(GbrImageFile.format, ".gbr")

venv/Lib/site-packages/PIL/GdImageFile.py

@@ -0,0 +1,102 @@
+#
+# The Python Imaging Library.
+# $Id$
+#
+# GD file handling
+#
+# History:
+# 1996-04-12 fl   Created
+#
+# Copyright (c) 1997 by Secret Labs AB.
+# Copyright (c) 1996 by Fredrik Lundh.
+#
+# See the README file for information on usage and redistribution.
+#
+
+
+"""
+.. note::
+    This format cannot be automatically recognized, so the
+    class is not registered for use with :py:func:`PIL.Image.open()`.  To open a
+    gd file, use the :py:func:`PIL.GdImageFile.open()` function instead.
+
+.. warning::
+    THE GD FORMAT IS NOT DESIGNED FOR DATA INTERCHANGE.  This
+    implementation is provided for convenience and demonstrational
+    purposes only.
+"""
+from __future__ import annotations
+
+from typing import IO
+
+from . import ImageFile, ImagePalette, UnidentifiedImageError
+from ._binary import i16be as i16
+from ._binary import i32be as i32
+from ._typing import StrOrBytesPath
+
+
+class GdImageFile(ImageFile.ImageFile):
+    """
+    Image plugin for the GD uncompressed format.  Note that this format
+    is not supported by the standard :py:func:`PIL.Image.open()` function.  To use
+    this plugin, you have to import the :py:mod:`PIL.GdImageFile` module and
+    use the :py:func:`PIL.GdImageFile.open()` function.
+    """
+
+    format = "GD"
+    format_description = "GD uncompressed images"
+
+    def _open(self) -> None:
+        # Header
+        assert self.fp is not None
+
+        s = self.fp.read(1037)
+
+        if i16(s) not in [65534, 65535]:
+            msg = "Not a valid GD 2.x .gd file"
+            raise SyntaxError(msg)
+
+        self._mode = "P"
+        self._size = i16(s, 2), i16(s, 4)
+
+        true_color = s[6]
+        true_color_offset = 2 if true_color else 0
+
+        # transparency index
+        tindex = i32(s, 7 + true_color_offset)
+        if tindex < 256:
+            self.info["transparency"] = tindex
+
+        self.palette = ImagePalette.raw(
+            "RGBX", s[7 + true_color_offset + 6 : 7 + true_color_offset + 6 + 256 * 4]
+        )
+
+        self.tile = [
+            ImageFile._Tile(
+                "raw",
+                (0, 0) + self.size,
+                7 + true_color_offset + 6 + 256 * 4,
+                "L",
+            )
+        ]
+
+
+def open(fp: StrOrBytesPath | IO[bytes], mode: str = "r") -> GdImageFile:
+    """
+    Load texture from a GD image file.
+
+    :param fp: GD file name, or an opened file handle.
+    :param mode: Optional mode.  In this version, if the mode argument
+        is given, it must be "r".
+    :returns: An image instance.
+    :raises OSError: If the image could not be read.
+    """
+    if mode != "r":
+        msg = "bad mode"
+        raise ValueError(msg)
+
+    try:
+        return GdImageFile(fp)
+    except SyntaxError as e:
+        msg = "cannot identify this image file"
+        raise UnidentifiedImageError(msg) from e