<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>files</key>
	<dict>
		<key>Info.plist</key>
		<data>
		Ivo3z4OMKosh+iwnAYHmJc871pw=
		</data>
		<key>NSFWModel.mlmodelc/analytics/coremldata.bin</key>
		<data>
		IWCeYnDs6J4jc0qwDW3j0bh37oI=
		</data>
		<key>NSFWModel.mlmodelc/coremldata.bin</key>
		<data>
		JLkkvu1ZQLgqutYO4PHemm/+gTk=
		</data>
		<key>NSFWModel.mlmodelc/metadata.json</key>
		<data>
		J+KBit2TiRHrrJkBrZJQJDOR4sQ=
		</data>
		<key>NSFWModel.mlmodelc/model.espresso.net</key>
		<data>
		BoLAunEKEPoU1S+p/es7ah7238s=
		</data>
		<key>NSFWModel.mlmodelc/model.espresso.shape</key>
		<data>
		Y3G9dJX8nlyoSXRIscaiaBxxiCU=
		</data>
		<key>NSFWModel.mlmodelc/model.espresso.weights</key>
		<data>
		YDR6BeXKMlu0WBSHJ+xaWNsnQdQ=
		</data>
		<key>NSFWModel.mlmodelc/model/coremldata.bin</key>
		<data>
		qY7PHZl/8H5tc5gDTg8F3gNEFjU=
		</data>
		<key>NSFWModel.mlmodelc/neural_network_optionals/coremldata.bin</key>
		<data>
		tkgF5pxT7RlO+9uypQti9obolyA=
		</data>
	</dict>
	<key>files2</key>
	<dict>
		<key>NSFWModel.mlmodelc/analytics/coremldata.bin</key>
		<dict>
			<key>hash</key>
			<data>
			IWCeYnDs6J4jc0qwDW3j0bh37oI=
			</data>
			<key>hash2</key>
			<data>
			BmHJxTKGempmWmibu/CdXERU5T5zvSQnIW0iHSIdXzc=
			</data>
		</dict>
		<key>NSFWModel.mlmodelc/coremldata.bin</key>
		<dict>
			<key>hash</key>
			<data>
			JLkkvu1ZQLgqutYO4PHemm/+gTk=
			</data>
			<key>hash2</key>
			<data>
			s1lZdUn9dnTWx6HcSwWyYnvDpTcI0wVZSdcW4B/uvk0=
			</data>
		</dict>
		<key>NSFWModel.mlmodelc/metadata.json</key>
		<dict>
			<key>hash</key>
			<data>
			J+KBit2TiRHrrJkBrZJQJDOR4sQ=
			</data>
			<key>hash2</key>
			<data>
			UXLje7dvMuFLl/KOLyqPPI5UQz/bvCtR4LvkwSXiJm8=
			</data>
		</dict>
		<key>NSFWModel.mlmodelc/model.espresso.net</key>
		<dict>
			<key>hash</key>
			<data>
			BoLAunEKEPoU1S+p/es7ah7238s=
			</data>
			<key>hash2</key>
			<data>
			N9zTfREZvo+8T0HmQ+iOuYIbi7M3qHjMY+X6lDz5rKs=
			</data>
		</dict>
		<key>NSFWModel.mlmodelc/model.espresso.shape</key>
		<dict>
			<key>hash</key>
			<data>
			Y3G9dJX8nlyoSXRIscaiaBxxiCU=
			</data>
			<key>hash2</key>
			<data>
			f545RIcPBcRUGSlSRMnc6BniHrvaSEci3KFOa3vpu/E=
			</data>
		</dict>
		<key>NSFWModel.mlmodelc/model.espresso.weights</key>
		<dict>
			<key>hash</key>
			<data>
			YDR6BeXKMlu0WBSHJ+xaWNsnQdQ=
			</data>
			<key>hash2</key>
			<data>
			Ei5sywN2v9iGyPfRyNwAe/Eo3yqK8lewiBXvD9gxFWg=
			</data>
		</dict>
		<key>NSFWModel.mlmodelc/model/coremldata.bin</key>
		<dict>
			<key>hash</key>
			<data>
			qY7PHZl/8H5tc5gDTg8F3gNEFjU=
			</data>
			<key>hash2</key>
			<data>
			zPljFEl2CCsrJdsAjBRUoGVq47JVG5dNduYPbPVj5Z4=
			</data>
		</dict>
		<key>NSFWModel.mlmodelc/neural_network_optionals/coremldata.bin</key>
		<dict>
			<key>hash</key>
			<data>
			tkgF5pxT7RlO+9uypQti9obolyA=
			</data>
			<key>hash2</key>
			<data>
			WTG9U2xFUClKISxvyNPBvuddqBeYC6C2cchgPa+zYjg=
			</data>
		</dict>
	</dict>
	<key>rules</key>
	<dict>
		<key>^.*</key>
		<true/>
		<key>^.*\.lproj/</key>
		<dict>
			<key>optional</key>
			<true/>
			<key>weight</key>
			<real>1000</real>
		</dict>
		<key>^.*\.lproj/locversion.plist$</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<real>1100</real>
		</dict>
		<key>^Base\.lproj/</key>
		<dict>
			<key>weight</key>
			<real>1010</real>
		</dict>
		<key>^version.plist$</key>
		<true/>
	</dict>
	<key>rules2</key>
	<dict>
		<key>.*\.dSYM($|/)</key>
		<dict>
			<key>weight</key>
			<real>11</real>
		</dict>
		<key>^(.*/)?\.DS_Store$</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<real>2000</real>
		</dict>
		<key>^.*</key>
		<true/>
		<key>^.*\.lproj/</key>
		<dict>
			<key>optional</key>
			<true/>
			<key>weight</key>
			<real>1000</real>
		</dict>
		<key>^.*\.lproj/locversion.plist$</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<real>1100</real>
		</dict>
		<key>^Base\.lproj/</key>
		<dict>
			<key>weight</key>
			<real>1010</real>
		</dict>
		<key>^Info\.plist$</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<real>20</real>
		</dict>
		<key>^PkgInfo$</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<real>20</real>
		</dict>
		<key>^embedded\.provisionprofile$</key>
		<dict>
			<key>weight</key>
			<real>20</real>
		</dict>
		<key>^version\.plist$</key>
		<dict>
			<key>weight</key>
			<real>20</real>
		</dict>
	</dict>
</dict>
</plist>