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DOC: Delete numbers from notebook headers (microsoft#2206)
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doc/code/converters/1_text_to_text_converters.ipynb

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"id": "0",
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"metadata": {},
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"source": [
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"# 1. Text-to-Text Converters\n",
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"# Text-to-Text Converters\n",
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"\n",
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"Text-to-text converters transform text input into modified text output. These converters are the most common type and include encoding schemes, obfuscation techniques, and LLM-based transformations.\n",
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"\n",

doc/code/converters/1_text_to_text_converters.py

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# ---
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# %% [markdown]
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# # 1. Text-to-Text Converters
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# # Text-to-Text Converters
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#
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# Text-to-text converters transform text input into modified text output. These converters are the most common type and include encoding schemes, obfuscation techniques, and LLM-based transformations.
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#

doc/code/converters/2_audio_converters.ipynb

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"id": "0",
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"metadata": {},
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"source": [
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"# 2. Audio Converters\n",
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"# Audio Converters\n",
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"\n",
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"Audio converters enable transformations between text and audio, as well as audio-to-audio modifications. These converters are multi-modal and handle one input type and one output type at a time.\n",
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"\n",

doc/code/converters/2_audio_converters.py

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# ---
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# %% [markdown]
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# # 2. Audio Converters
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# # Audio Converters
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#
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# Audio converters enable transformations between text and audio, as well as audio-to-audio modifications. These converters are multi-modal and handle one input type and one output type at a time.
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#

doc/code/converters/3_image_converters.ipynb

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"id": "0",
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"metadata": {},
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"source": [
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"# 3. Image Converters\n",
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"# Image Converters\n",
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"\n",
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"Image converters enable transformations between text and images, as well as image-to-image modifications. These converters support various use cases from adding text overlays to sophisticated visual attacks.\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.12"
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

doc/code/converters/3_image_converters.py

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# ---
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# %% [markdown]
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# # 3. Image Converters
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# # Image Converters
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#
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# Image converters enable transformations between text and images, as well as image-to-image modifications. These converters support various use cases from adding text overlays to sophisticated visual attacks.
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#

doc/code/converters/4_video_converters.ipynb

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"id": "0",
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"metadata": {},
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"source": [
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"# 4. Video Converters\n",
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"# Video Converters\n",
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"\n",
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"Video converters enable transformations involving video files, particularly adding images to videos.\n",
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"\n",

doc/code/converters/4_video_converters.py

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# ---
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# %% [markdown]
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# # 4. Video Converters
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# # Video Converters
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#
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# Video converters enable transformations involving video files, particularly adding images to videos.
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#

doc/code/converters/5_file_converters.ipynb

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"lines_to_next_cell": 0
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},
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"source": [
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"# 5. File Converters\n",
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"# File Converters\n",
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"\n",
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"File converters transform text into file outputs such as PDFs. These converters are useful for packaging prompts into distributable formats.\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.12"
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

doc/code/converters/5_file_converters.py

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# jupytext_version: 1.17.3
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# ---
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# %% [markdown]
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# # 5. File Converters
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# # File Converters
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#
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# File converters transform text into file outputs such as PDFs. These converters are useful for packaging prompts into distributable formats.
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#

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