diff --git a/CHANGELOG b/CHANGELOG index 6964410..fd5be0a 100755 --- a/CHANGELOG +++ b/CHANGELOG @@ -2,6 +2,14 @@ All notable changes to this project will be documented in this file. This project adheres to [Semantic Versioning](http://semver.org/). +### 3.3.6 + +# Added: +- ScannablePipelineResult + +# Fixed: +- Improved performance + ### 3.3.5 # Added: diff --git a/Quikkly.framework/Assets.car b/Quikkly.framework/Assets.car index d04067c..e25dda9 100644 Binary files a/Quikkly.framework/Assets.car and b/Quikkly.framework/Assets.car differ diff --git a/Quikkly.framework/Default-Blueprint.json b/Quikkly.framework/Default-Blueprint.json index d82fc23..0a1f0d2 100644 --- a/Quikkly.framework/Default-Blueprint.json +++ b/Quikkly.framework/Default-Blueprint.json @@ -1,5 +1,5 @@ { - "version": "3.3.4", + "version": "3.3.6", "templates": [ { "identifier": "template0001style1", @@ -289,5 +289,5 @@ "default_join": 0 } ], - "blueprint": 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8WM7MtRoiIxGrWT5MQzV7x6+VKU+dU0yyx4MCdevYtX424Ux8q7YbNrRmw8MHaNXaIRvpAjU47fB0xqAiWmNK0recZace6D2NHLWI7M2DkAclwwxMBG2YmizqJFLg8ss9JBIyn1EbtWOV/tlvePkU4JbIuUjzU+QCYwKr06D2rf6H9YOFtQWkXqhZVZku6wHM5AOwgbbFAprKD/wRjgUdAyx+8kDU/PAZ/qJCctCSN3Ipg4BixCaPr7kN9+g+8Jevv5FKR48lIL/rcN4/Fo9H2uzLOrZJ3yNh7T6vzUwELYsHyZO1VCOqH4qyJ9kingbK9taAm9FPiR5ea2vYzV+g0xhBtwfQ3bgcxuefSjfdd3InHsE1GahAsoHdWLZ7eReluqBkTZP6cDCAABokRUVmsdKlKT8qjsxn1lW4mz8yPQ+hE4TaRqTab/r8tP3Ba5KPVUMZHedF4VsH+g6T7ZSxrxX4EPR7eSBjKpVidUNLNlZ4lpk6UC3eExPicxlzCmVbsH1IyRD4VQou+tstbc8b1Rl9u8UCwwFj4MJsvjtUyKsh1E0HpsFzO6sWsliyEhNzvtLjqav1MeTAPQ1LOVvjFosCEDJUJsO3JbBk7FRqnB7mm6ocwSWzpoJ69nnlXMHcC7pVUoyLV/wvyEVxjoxktCIJRjaaCzeOx9uhveSpwLy3AOlf8+xwq6nNwZaEopdUMlAkiRgdHv0mdeTo9WjYqI7jqTuGL0aPMtK07sEsPdm6r9bUCas85JugexBU70avgEKvG9QoC9XNS3Gf7zKbexiER1saS09VkatGcDtckKdjsK0177tcib+jaoMXK03EqQOFJoX3g0LVdwJuEkc32RS7cQDXcfJ5102mUuGC2/YhpwsxiPQsixQF2rjpHhFFilFlaG2gRX/XLVb1aFERqo6Xt+IhjdGUntKzuoYvPYn2JVWHUTC42T+aiG1+YwyrnuDhNpRhCNzpOWVhCQ078QXUaT7IsLOQaIywAMLWLUjHdTEEh4g+IkvqwFuQsvG51FUrt89mPZU/yOYfnD+t9zUGogbLM4VUC/bgbWdjBaYvh+NDr33EkP7AD3QrqOmaAVhCKwzZa/FHHlVrHWQsZF/pbNqKweih9QQJO5oGCpSMPbxrcQxcLdyyFf+Kr0+WlW/lrhXmzl23Vl9Fc8xcdyutEq7IQy45g0FCFeF7aXxif2xLZMLTUVJhDEHWkNUDXuB0tCXFJrmTZCjeZKA5qMOIKSiW0yNXhpzCbUTJ9kgVJAHYmeI5dZaAtPNVJZTYFFWtj8mqLPVV4L9stQ6tOjVpYI8XyxuI85tXq1BIX9DLpSKGzQIgZBrhObROL4DtaL9VVENSzynhqYcqB3DcSlsr+lWjWxJlqdGAUn46m2/bO+EtlDzMrXLHNhCkMzJefE6Xb8CnqZkbiFz56ctINgC7R70XEnXH8oRaYPEUKCVMlcCkL0bZP2eHKy5pi9eNb3DAnv831XEcauccd0s2YuCcENUycMcTkMLNmO3jI04ftV0dzrYOhBc3/P+UTQhqHPs55+1OKNmg1vx7PO3/xh38NDFMz0aFlN4Ee2g1LizXQkftlNm3QHEChV0u3s3Ii2pfng82A0vF4jD7kI1IK6uxEZ2JTfVrxuXsx+wbV2RXPW5HabAQT/ug3PFDOHFcYLsREkw36RQraTiYe2vDoEunK1a1c5NSIog+4SR9dKWgND1m6H2tnMcmiyBOoqFNwITQ/0wAp8DsHto1X7TYfmp8drIvWMQ5QpUt9i/aephSlaRQztzUtUZvQ+zeyviOK6lUvX40zEEf01UPw6Hpsq5B5Z6a5lJ/pLkpyhs8voRdcUTrlLPal/VxC6gT1amKqJcr3xujqOg6Rm2rhAz63c9SRZwRJY7zl7T+VYsSyuNBwUIfUjr9+GePU9OT+syD1BRvWwItmPcTXuz9KZ/72brtfs8NjJylDkuI0gQrPiLSPx95Z1fHT430rB5ebYjpvzsB+sgPJDJmSZu1EMHhiA19Mi3fhR8BrfLbP+BiBn41caO0EYZIsXi7vRWX7dBweEWBoi7zgFMDTCk0lVe63IhSfFHCa6WinsKHVdMlt+Unh3zq58bWy+vOXd7NN6MQvqKehoToge/6fb2cWPfoSDInix2nBwquYxf29pT+X4iRMbIpB1ZLExLdXa+haIt4RCoOl/0h2yv6+t0sNxRX08DXujqT3Trr8wVyYAxOaKqnzU+yAICA/ohoDoShtaQotnmM3vNvMfrbarJfe7G+v/cx56rVNM83cQz2/I1VBuXL7ibOr2YIm+vQZowhrHSB4cbSMVt9qgUn17FgTQz14ebu2mH4exj1Qnhk/EczpJz5WzcaW61HxRAbf5V6PlgX5jTavtIGWBkOm8MPNQZlaWXONauyXKKv1TJxrd2YfS3c7NoeAoihxalLIyK6sAc5IXt+bqG3f1DXngG5+n7gmBKuSw63cmZniiooWwq189yk8hng8W6fzGIrKKfCtQK6IaoGJGqaDwfM/Hpb6OLB7MPsRI1sfSMBLke6L9qRgddb4zawWZ5OrlPbWrFKfAMqrOPuRhzEEJIt4ykvZZw/1QcS8NWlrU1EN3+BRovlN6kOzYHPb4WnTGe+fHvG9acouTzI+5HQmOei7tQUc5WORus+6LkIFd5jQ/UO+g5o+SBUo+LAHxDB4L0hqRVKr5+sNXHPadO1lKTuEohK1y6+bkYU+MzfGJ0ts7oqwWsZ+nqUP85pzIh+krb1DrZrmmQZ6vUGlf17fy/0cHkgvOuPaIMU1/an+WjypEmrUZCg3nb7i39zC3OymoLTLxx4fKzIEdvDtO+1sFFd9TlzmKtY0g5MMReJAEdti4xtI/1AQeKhAWyNHlSTP6cuDIJ7yPXpyGHGBTDlqkn7r0iXyVsSr9lhdosQ3uUPED/WKmeCz7OW9JzdJXxBu2IajG5R5HuLRxqtGZ2+fMePE9KRfR2nbUYI81jC0ksrkiTQiKjM5geo5DM4VW6tvYHwqTGSsM04pjq35igL083VpQ2Bltpk5vMJ193YGZIAt8LbxQpqfT9wO9seQA92SFX1afgOb2PJEhhJHSF85JYl/yJQpV0S9rg6+egr4lT0YasvM9hYWRa1jPceycQSz1zhvqu7IKDhKXNocitlU87phPPL267IyKzBYfGCp/MUrv5ddwHgj56S0hj2BGt5VpoX3LjJw0f/QrdOjYdFIb08IOiNjFEmPyfWTp3K7CP5CvVc2jJM2U0pUcIL8Pke+fkVhCz9ZYhC7kFtfOHNBuIuVrA4FWlaA9oPQdYEEPNq38A7ZKoS579q2lZwhuM7NzljyJWrLTvzGpITdmAXdRf7r6T3qfS0crAxnH9mBe6rr3O4Fnhr7WoJ77hUuiymjPLIwehZBI7wo2Qg7YZVcdL+z6BvzyNJaXhR3WSt0e+WSWyfcUW9ykZa6aNXwp47F3nwsM7OaO0qFPussi/1BWOCxLO+w0krz5ZECsw7PCS9FNYLZttxX9A2uBS0lTx9epPq8FSFmv/EgDo9nrOL8irqfS7IB4teuVkTGdYKCPCxqrMKBjcBZ9vvkD478PTSuqIOZ1R0G7Tzhwg9nCA9HJYtO472Vj4VZV9XM8SemKnPQTeXYq72bO6N/M4RKvOe3lWZ2Ck036NsTjXtHuHLca14xE7UlK74QsJhvNpih/RLWQETsJyacquwPmhQ+Wasagf2G79NEF++zgFOjgpL0sP/s/YIy70m0bVCoqCtcc6yg0QAWG8wKdsYoFO7Vvdlxln2augbBz+2sx9yB4O0ywY4gtOfNd6B1YpsinehO+hkpzQKVZF0BX/5C4HkqZiLY4V5pARzDEdlPfr9JywuISeVfW++o6bw7F+HO63V2+8368DxRtIxrjPQiO6uEVyiPiljcEk5J8Nxaqlbxq8KI0sJBEeQtqnwSjhPq0dpjrNJTSFFzQDhE0fHstMnjNj8WjyEqcbo1HH0K+mDj+uTakN9RbFrry7TiW4jvlHrj/nq1uF1E8T+7PIHwA9y6syoREWiQHgtlClXwghMKy3J1cBN32/wRLeVP43XG8AWKiHaBp6U70P9/4WP6kQPnRa3gH3Pg6vbJYvnFxkRv9jxk5PssmErM+r/toZmZbgEJ2HGiLtJluG36IzDdnSWxp6xkklk2XhYbzaa2jZCsx5mh3FFYq/H+kNIEs8aPNeyThOXDLluquhKXSMa/sPU8nrVz38FgIhM5SYRQZNMm+1RWy+6OWy3r62VDf3gIKbDJk/IarqAVMFUFUKNw+9SOyRxr8A1O1aTyxqgE4SFc5w1NA1LJEeUViDoIuRY0Vmb6HmUbWErGc/4EaXrxW2hJ0WDkf3p7Ukp6WgRNZahGGgNDNQ1rrZoBwr+Dx0suMYqI1QmeHu5SzTbaflIrjqbq1vlrckyt0Dxy7mV4uZtHP3iK/Do257wns7eM/nsayTGP4IV8Bjrta1pmPpeo8Dp0qj+Pq55AxEkzx7msoGn+C/clLedmfMdaXFuny3oMQdtOg9A1AujU9YNr7qJ4iV5P1Z2hS9OVB2V8gBPTOBGaCknvkvWAgfkNS2UhUG9BcBcyIR84T4SIMiAY7jApXGL2WdmsS1DdaO7ZssvtETtitjvXwkPtTUVo91yq82Rg9T1fx4ZZqLzxuz7dHv3H76AzLWEF95YimbHYYqOjvvysg+FxTE+UWOck9H8/sLXjFt9Y5vygv6a/cG7oBiD1ciPpHS3SgzUYYms0ealPy7Md+7n0w4jffzy/wXmliGOJks9/c4W09onX5KxoiLLSRtB3TTLpCrjtmFRwA7/zUVWXhVHj3dD1U+z5XaD1Rn9ekbXuIzsbSkxbNxMmiOVGL0j12PtaLyI1WiIqj2Uiv6cBSxD701TUGvGiFrS2GaAV9vELKjLSDzaGqi6XNgg8i+0gdPmyf+D5qSYKcejiwt/PHLQ5oS2Nr0f+HDvNaR9qa6EbqWJ/z2el2LafhtI90c1fF8i+VArmR50I8Bwzln3J70q2PwTFRT1MhmReYE68g0gbp1BDl3VqsWmear7FQ34Y5Gfo0hhNolgMfZSBgr6FbLErPvxIqUHpDn1pP68owinThbRqGrAmFZMpfDYh4oqqqq+suqkEge4dtFTWoAXva4oYl0iOyNrhPWewpGKsWNrJLtXELIrwPwYPsjC2igGIGYPpCl4KSeswJnhpnCtM7eXufOk4WqecPUu481Zjg79KwJ36UGjonKXeQZpxczL920rSTL/e1iHotpgJrR36nz2j5F9DMog84o9mnFq88f7qnkV/0f16OrwdqimrQuLmJ/EhYaq/hxLwcVvEEDxPX6gbi03eyV5ZbN1+R0csm13eHNDyoxIcp4I0h4+3w1XkbZKfCCaj+XXM8Fe1x7JE2q61ZRpawNYkEPWnAWG6mH9iK6NOzdOytaqeVePGJuWikVmcSNpxKJuSodgx5IIS0+jbstR1GdM/oFK5a5iEucbCIwjs2R7jwE5d+XTwo34cStWXnk9A2fj2dBSsl+YbLcTr78oQ//OdYspS2wUdyvqORZpo6bODvDNFd3WTACP5F11gb6gZK0Tm4ht9d5wwFjp9VFg6RPUZ6MgCzg/2A0Q+yWl5ejjCyON5QQU8dj8oOnqbmVDMuLViQ8ilyJzJVWffr87vrBFVcNI4u58esA6WPoNJBZM1FXQHz9pkMc5DImEhpf+JxtTvN5Ucs/Sph7VI58EB6wtpbRwpWZQ/1+g3R1Z8sJhrnZvuc5VLCqpoUMsE3UIe/V9Qe5k7cEXN0+QHV0WJGDj1tXkY4uc8x+XQoXG5XX9Q8u52oR/iJeYhtesW7TOJ/1isUMln2+K1a0G458FC7cXl2iqQZcIj9fv8vQI2MhH55vnfO2NQu4sC+pYmEosbpivrARcNhXjTKrIZC/U5mjRJEeuigB93fDzZ0A3j4ZKjnoul8LO1KkIy6EVdOM1oS6VNGrHdldZLZ4iDadrVGGaBp5uviKUgebyy1X4vgFDqnecR5PC36ZWREgzfzGMoYLcGo3fnajGRFrROlBOvgBqpIKphk+O8EoViDaetNwOqA8juw7OxMBNk9v53SsbEI0LnfdWdLnbUnHOUSRFdEdgw7lywpQxcTurgB6BhWUY1moQEM4WHTcgcvwphyTT+qPEObppFwjrJVOPJaEJ9THG3hWVnqauvsSSJAkBpd+A9ALQpP9tWe0b1mPjZ9pcICIdSZ+s5yy9GbxLbVUsakKNjWU5sPrg83ns4OlBwH1pAsXogRl5cewMuepTzEvGJd7CaRHAi9ig+1vPLkxrWVmU/3e8RqW5VP+ANwu3hBt1V2wRVNGJPjBlZdubFQV7RPz7IoEgoyvZpbuyqDvSWNLhMhojzSlpSe3ZueGTiGo3lBzMIdfIqm/Z218uA3aZbWJt/Tsp4766oS70KMShLv78mP6QXUjDbsnIc0x5zn5wHrmLf0kIBVVuAAPoNgENj5GwbZVOXNRzIdNy65LGPW6A3/H4u6TxfYo+t44yIRDYnQI2nB9TB2ks+DhhtubVLygZRXHTbiXNDZ5RM15yX1+zS3rq+AG7omdcH54O8WR7qVigxch4KphCVLGHw8RlToQiiMkL4I4BsKKLvJ+vanHw0chK828baOkDWGYqrQwNkqGs826UEDBslkveHfsZquWdQzupdrIsNpYxW890UTfbIFWsHHe75mNmIytHyc7/AIy+BUrF2jF9sArW+5DRSid18q3cxygVnDX7+HAXJpabGtimX0+Y/1j8ucudebLzd+4YmiErJQbFDW+lFBO9NeUdt1XovEMiK9FgR/2F4cc5RAvnZgOTa9yA/NcnEEd7znQwDKpXyKh/ocwWkfTNWLNd1hxAe4G67eB7j+ANjynmo0tNjsvQXdQWOby0cydr4On4JAA/ajvl/niHCtXfsFJ6cxToLKWBunTSFbx+sK+ayFnMbaHzTSFsz5+4pDCfOJqKZpoip4JqBWZpXKzQiMKorSGpgYiqcT8tbCEs6RrqZiY0FQkOio0TVnhiV1aqsgB0ISRQWR1Pc/kXfKMO+RxwQHvtlTYXNbcQuvlrOJiOhJqQsxo1eCpJVCFkDqqhrS5AW1Y8w9PMiPijA/G4xVjv04saxujhYi8Cy7TLdaJknpIJEvAWiAA8hUOa9YOPIRwYv5Aj2GZ0GYb+gC1O+JsRnAg44Ox+sQ6HRbLq3ILlI+4+2bKCLL374qxYLieNh9xyLi28xqTKCxQv7ICJ7rKC+osKSGA5h0QIJE0xv5Nt/z43guNxo/YsHlIqnqqpfYzk06qKmQnsSTq8i91RVo3wSLVYF2/LXkt46jF4BQpuzLVxlLWfWxS6/+h0t6MH6gZihHZXY8gSpdaQKhmpprcplzncTEPCYiFNP6mH+X2/uTORqLPEoPcwH6i+RfX0Vlc1eXdevs/LY11qfDv988kk5RQnYY5jSX6X1N4pIYXMjwkq7/LKYc8Hss6XasNL4yMpIcmMz3as9iy0SWcK85G4tUGME35QAkr84ygn5C2cQEDL4oa1Af5+fapMpF7dGK3SJ8HW1PtMQcOhAKm3nKF7YNn19kazZCNxukSwHn2LuxUIuKH8YPaJh9AUGeMVJDrrOzjYfLbrV3myv+Iz8GhFHMkPiQHnZ2qNDMQa2Ku7oYJCbs9bMtg7/VUZeQ2JgZYM+wohVGmePGEWc8FL5p3yOSH4KM2+vs2D/qO33W41DP5w28HQl0ulYXpflJWLO48Bk4T4EZxPW5oZ3vl+53cxfbSwvFdwvnDN1ysbVhp/INuvCoOUKXjy2T7zmVKzWWToNSP/nUxPPrKq2khyNhQCGQPPJCt0y7lTIWa7qHDGNnhJW/Gl7u9HSPHfWXlxEx2zipsJLLt1JmZbTn4+95XQvW4/yA/iUqa+SkIqvv6SyD3vhX23MZroQdoAK73a3Lz4xu7JIgzzJmha7UBXwhr5Rbqqsl/db/5H+9KsgzaJp3iXrGijNGA2wej0CGj6bdh3+4auMILe08se1zikAOKvrWNW+2O5fALG3JVq+EnHB058CVFb0KxjMBjDeylZfg9VTYtkQZlBp3Ngf46HsEWFM9Ru3IvugjUCup3KtQ9MAGMU9iUimTvDKac9/4LmpVpy9NHvQP6T3Vwmt4wGv9V126HBKbzlwKMswxYUue9dSu36AZa6QIFKUjPjDkRhZjRcsefhm8fQUBiw9P1lyDToatOh1UBOGyJqczkrvTtdakc7+GKIaayvdTrj7yPNWMerU1v0gPcVFYYycL5dBn3vWsn+pxVrdLFxtsi0yO8LraTKU7+gTBSi6ziNZ0+EyVVRdSDfyD4QC+/kW7TI+gDNB4E38Sc3WcDTjqrQdMv5TDakT5WbNL0h77JRCbUvy9eOT3csFUAWNhk2fQoc4DPbk7UYm2akGwP1e5cNUlicHRPfvWLcOOnTyXG9LrfZbKcx6nXSck7Qc/tQYpG+arSUuv54w5Nk0p7vSLdk5obfWiLRYlLOjxfsW1QN73f+x0ZtjZJip1a8c6rUzcPBgBJMyZhEprKXdrmr/X2NG3LzttESImXirxgdX1EQ0TeEpmB7qWheQVuuFmHqYPL7d9jDtQnoK+e4XTRf0ksa3X0HVENm5scBxvLlSOxFdT/4RIIydl+hWjCsJ9OsSm/aHD3+luSRGjJjGHgX9QS3eeWfP7lrOQ6pla354GWeGxYQWvORSxtxViMfjz1B9aL5OyF2IIyKJz+WMLBzFPAuPkryU0K2QlywwdorEVNj+FUF336kE7mcQRw/RynOeWRI7PQHotpHg8YpY4ymgc6CoLNToIXSBp1AMxIkkuBHXqz58mdUQrCcSXM9rcK0OFDb5C2anNeHpL74nGFXUzYnogsZaB22E03TObFOWxHnz2nGqKkx78BIfUEUhDYrfeNJ7nXUKHKGqOhGu3BAvwYolK9l8ShDfvAAZ60skwnGRnh1ojrvUSjVnGPBNm2qyli6ir2Va2JpQmWjOgGakCjp9Bk4IbpbjEkgD2SJcGVDADV2qcQXnT89U6qB/rVq5i/QeGHNQAoZrT7ZgakfnreYoTRQ/+aqzrgBEyfwvxmuoZzFacw9dyd1zyOY2nAGjsRCaMr18CK+u0UoXHeJNQHgZesvR1a76fmC2cOsFxz4ip/hFO8Iiduhibu5CnKr4SQcOl+/dEkXMfXf/TOhEJDU4TgXqTEzZrvaFqdjctqoovlsmdo3Bvc/XlarspIBr65HERWN0mebK+wCe/a50ojDTV1liYNWcMhBhp711p5eryNcmF3tXiXNdrjyyT5Qc7njzw+DnTfitfQpGOYHp7wqPOvyWwbG5h/+Erw0kqrUoq5zrFD7IRZENdZLdxQgAp7QtyDnQ0m+KeFtGY3pnxRu2S3i0SEFdxLm5fdftMPEf5i6Wn/9ZcesmgEjW92tIek8rTZGMAElfTZK6K9rERtz2P9Cg0s8PfPNQepb2iwdxvMNyqUvXToMm4BVCiLkxmQBxFLyV2zaVj1EVSrOeO4yrEaeOBpgCzr7uBLNH6RcVyLrfrX1KaPw6Da1+GeMHP4y3ofyS3kUtVlRIk5jUivDxoKX87cu5QpA+32D69d2sn02xyt/9x/7/USvCt4/AZBHMOO7vCQ3YlN4f0ufsqPi59GodbV63hLsmAN64BguP3wnRCKBqzn4P0oYZRR3irSkT4/CPRfhVUA2zpuvSY2CwC04xm/ZKnFjKToa2xB7viRWe2A85rLFv2y3KrbFi3A8Cd57iyTI7Qy8Tb2vA488kqFIYVxIgLt/eKcy31yC9f7mvFTzDme+zwjkmoD854Uudo78DuDFzE7XyPXabTSs8z0VkGizAtlKtVk4ZuDzidp7ae3uq7Zqk49nHc8WxDGyHR/TQKAoKDeyKY6+quU/3bvT34L1v85/FPJ+bwBLak/KndWD38oGzR2UCZHkB88o7ISqYVfMIGtQFo2jMoNTgYq5uwpCaAEAN6AClN17DuhdWkIviAjjJjSTTLkHPrPYH+YKOOQOsbis+TsKQbaq+lr6PQHLmEhCc9W3agIXhqXFg31dcG81NUrYckVlyNknwr2+mh2SEfZXojLzDNUTqQFhVrQQ5Hq7qmKMmvSy2eVDQW5mtgq8EJmaOf7rlmVg37LbsjQSBabaRf8H3SQeH4i04Y8MsKKKm6cQ1TF/Uy5IVpgGbrAF8hqTslKNhZlYe5l8YdBLhfLae86+oWoTgnCDyaA2MwPpDovjibhKLLJS9lnmUpbG5y5Xw9kMgo2UsqlkGyEQoTEPo5sEH+a3EPL9GcIkQMsP4f/qLRxHCMaBZgtuqyQbujr8lw1Z5fdfrtIp+IvTZYuX/08HdsmL+64Lcb0Cz4x4kjtbJm67tmPNJVQVOmgo+0EdqKRpIApAmQF+Qvt4GQoyvnylFmX6FXrEQolcQPq6+yRFyD1G30ZfgVBX+99GX7o3CB592uNLZeKw3XmOLvz3CPSWLp9y884iCRw9KCm9lnw4JfuH8vClOikaSTrLTPMhuJgQAiibwrCdymHSw4atdGr9n1ecM6c6JwKNWukw656wzZJVsHOpEyHZrx1tVbBSRuPzMdQSX8BVpazYMfyf2wmGgwlT8UoiMmTuRW7MAzY3SK83TDhOfyRwIky3TD6WMSpANdW8skOqvEbkZSi1EwJhNIN+Eq2KgxkNGxiIcns9hP5XbJtl8I5BBCItL8C0n68TJ1uAG0JhSgSPqhDc24FhZ4CuqWCtxK+lHto8lbkLagpjuWzfIDJ+sOxDYhOiulVCHlJtIn1OFnu/S3Q0j2Jt9APdo5wNb6p4LnMQDepGUQ2GMQ4rppvx4QK0VOsxBGXA1eIY/zqXQwFjBhBHYOgMYxCqTZH/wCEd1hr8M1z5jGO1qIcYTACDgPzz4cBSBp7srS57YbMA5i5Os0d+HIdld+uWKDLo0Jg8Ggoj1nWxQ0kRN6Qkvvhg8I+JBhyqV5opTZYE/PBey7xVf5iF1Y8tIrrAVbleh/pGrlYQRyoJHj0W7TK0wrSRNOhcXwHVYhdN96Vn2sAK9WdoTBuJBhM99y37a/ZNuL6xvKz9tCOZzY2BCacO+v1d5i4pf9JqlB+8vRYjw0JCvs66jjBG/R0MMmcCki2H83aFrtG+IW8rxcB3IY7VkbvL4pav/yXOdfXD7/5o0iXhEGblDT1PL/4Px7oTlG4HPfMAkYSEb0DNdaZUzg1nvZNvpqU5IjwTBRcuWataxZEkP8BuxNrIY6nU/MeNTVigCJG0WI00JlGLAUC17lIhqUJiWKlUPqgkhzUX2y9dTw4j8mD8vunUIeW2XKcl0cygXMAUcD7iSiwpP9V9DdCAGC2u/9ENx8wxW9uHe+amGP7lLT83J1NWfSNL2C03oFUPMw9nFtBM2NjVepMtqcqwSthrv8ZGpfhP9xCIQYS60wtbzlA0IB1XiX+Bvcxb9vuVlQEZZlJJSmV9QxO16Jl9C8IKrdnZsaFr0ca+1YkaNNGffGRiT9arXIfx2TC68S0mmfmlxLMHOJ0c0onYdwHzDrxr28XzsZCMEtciFFpn+mUCG/gny7YQs55M7Gku+OYfwEvsyBxkkxQFB2CLK/LiMqWQw6FiSkimt32PJcUwFp5sgH6MPi+XVgH8MONE2vDekRLRfDrzCxDHXYmrNEXsDptpaKsCVaE+w4UnBz9D2G0ieuFE4JcJ7Ovy97yKHfICE1dq1eIsKvPWykea76JAlGnMfeTpwGJ/kXBKKf6RALYbiRuVV+NpBp2TIP6rboDlb5W4nfa0YrvTwgLjRtF6HV9p0KqZqFnC8y4HwwMvGsaiyMqk22eZOeWW6NJIxGgGGh0sPOP/YB7SaC9GnMlV1H3H2UZ+Tk1kKS7TADH3/jeM/060E9PeaeoUSS5waWkAcW8ioR/ey/HltCi7RK+fmxfDaU10utXI2B4wp/9J8wMzomGBX68isB6s0MhB+s39H0F8aebOwRcJhUzcUCWle3hR5PNULIFVkZsYabLQDXjIwggLLyBT4wKvfmIMqPvrwKveDTrgNyivqepcFyaENm1X46ktHyxQAnr6pxgn7qJyFlQpzaU4iEL5UUYwI1SwyZwkjd2a+H9SuYhhIIQ2+n4KOm+sStpacL4+vAsXppflFxMyoKu8hWgd8a/De/6fTM9Xh9Lu3lKn/1moN4G54DGDUNxffpJhkti2Vojb4qQBczqBNjp0KWSq+/EDWKud8Y6O52ab3ZWkbnWu1rpkK5+HEl8lh3Iwhth+PGOGBCzmchaTQx3dUB0v1IzjmlJuQLS6p95jj91Ry39AJTglL3QfsLMPZYIByb+nJkQCYDOoQRHnl4/JjzbqhBa2wMEkFy7dkqULRuF+3yamfABs9b25RcTaMGY3qbbwAkAyFypAA82L43oGX+oRfqL+ZprL9NgreBLufqgkoNUoCop1rHPJpHWi1xlO3gx3CihJBogNMla4NGuBSJqLOHzqNQAUNWIOtx4fsfo4oQnGvHpRBtNtseRXu2j98t50dGIYfqv7uS5qDgFRfR36av/O1EMYKBLxv3lVxTsnOVqmvRjSUUMhTkNhVnANpHIiwHY1Uz/v26lz2x8adbBVhJN0gvzZ3jmX838Fy5EdfqiT1jK1xfFSsbctH90A5eKo4bonxycI9rnuwS0U2FahLupOli4grzojMeAFhPBonWWOBd4QfuaTowsYKuSEYJQTUQe+APLxHS3lF3IhlbXq6pMk7OO6KujF8MVjAMrxAZ6g3zxDu/SCdLlAQ+Z0raYYYjiIOMhQmoQOX989RFtL/WLxP9ziEl4AwJ4eM44Vx9iF6K/4gAI5WPb9oYn0z+sUI9nFScnj/D6gL92z5SuNdAJMYFcwDO7IRZWkdJheAAYCa0kZvw8KRIptDfhl+hmgAPRLJAxCyv/YIEPDlNSZadoHTO2Ppnb1WjxmQi3sECW53p84E9/DmMyOr2WNYPxbaPpoY2kPy5COfvRRQxjCzCAvT+CZ9r16yl4s/GFBNeBmngMw5gqerzA2qJSymp093VHQSVKXgVdjR5aC8ryhoz1PbCKHuIrqck0ARxrGklaItA2OJLVCU/RV4a+pcjr366+ei52JFm7PCYhvRPr371AyNZzANQ+1Y2zk+WU/y4vWNRGif6Qmwg6Q/XwESD+/G2r8iXxL1uVHpIEmlw/r+xlmUggFm+CM6hm/tdDfb2Qmf30L93cqvptMi34iB3haLnC5Ob2PAo2LMRf5rtYkXZnyKMekeNE19N2fBrkaW/MW9+gCHIWKdJ06gbvobci3b1cstgI/6lU+SY+z+oZ6QUh2EOpCm6PS3GVuvgnaJOj6O50ktyw8Y/Ib2PEQxSM+YL4QO0W+UVprt1SjzvGg++HP9Ijpkxi0i2O+vMDge9JJzdt9IiVsCcHH/BGDrFd8edrQCVWKz6DS7144lzZgtMubKX3wsnFUezdJzk7dZdgL+jp6FY8POahPlvfeKuBO1TxiLyrUr2vZVRmWuycyCFM1rtdmFoK7+vSHblGst1oZM3EH/vCr7OcWXmt/JIDShQsk/zKMb+dNkUSEnjqoDouQ0EAHvFjITOwtNYvZchzgi6EuTpDSX6aZgGLZvrdgwxdNSdSmDkrKWMKspkB2v4ZsKdJ2x/niC031EFzJG5DdYNm5yIHpdfCm0Adirog/3cQ63IhqaW0LsZgT1a+dNz42a/qXgOpXnk5dXyIBTz1yg9JM+I8FJHzBDAoAVSvkjNvF8TMOQGs4EjWPwyM2XxUu8xs56xUoixuAolQo76s3CcH25bYdsRYdGFp8XCALkHV13wp3ROytEC+VRopJle//y5hk7/vMqBuF3FdSqC1Fm7XIgbHiNTqeecTgKInGO7GvmXbCEqljAyaBdmwAhBvpyVRnIuAIIHZJxgDrdiI2Ulo4darHa7qrR5OvySUtdcDWAMfFGCb00/Ga4BUiUl1/X/iffuZ3FdgLaWkAe6NhpgTQgph9Zh5au+5XbCe3aEF2RyHdWJhtoWl6G0BFeCVVtsTAwzJj18H1zluXvdzB5noMbpYKI3C0rs/4pr3rDXZNl46fhXLGmXFHnXVFCWuE1JdAb2Jzig6z7Myr4/LjG4bUDp+9PUU9BECPleHYr0n2sgO5rIAICqYcH50rXlRrgr+eHMRhg39yDrxHhPK+1maBaJmsk+2kcy9gRTXwFqo7rg5H5w80rlmZfApWXnc62Vya4yBKMcJznRnC3nFz093/So8CskqJ/D1nsg2zCHqczGpH3brtcNB5JktcOb6uW0p0L6jc0Uvz0zG/bbsCxUnNGhZ0XrtGoYPlxknMT8PnGvENzAV16L2Fc83Fqfwa/QMRKH81OulNLEMP8lSR80Uo9DZ/pa8L4Kas3Ezk+miNG/sJrgK0z4LeUzX4WCHGgBfkodQ57+PUkyuWsUpSsmFb06MB/jPwvXunfnnaeI9Vu09a6fujWg5IWjpArlmW9I41ySb/XPjJPtrJg2SGFgUk/+REZJJeLWoY5UIu1qXUC01fLqAyp+LHO2/uGs5o/eOie4RHA9GrklTE9Wk3jmcR7x31yD6onXCISOGdH3Cj/4TIsENhSeBsd123/34B1BI1JfoaXzOwPMQwvoExe33gHTyuY7mc12Bm8fPoy2ri2qoJtrEduSDXp78gj0Rq77LACmpf0HjJrB15+Cemdc/MuF0J3JoNbDT5rsapFRK7fR7xZkp+qDau5xfeKlauC5KwkUawXGLpbI/mfdsvXWxBsl9m87ZHcXvI3yI8BIwnR6KnwJy9dHvkaewcLqk/QzfI7YvAoU+C5Ob/iGO83tTovVTju7N9H/wUD387C1Dv8vvAujSflx87LcDhxLr1Ro8Md6nHAQ47REtPKYwVE4Zza0GQngIvF96fThPe7tUCwh+uPUnxZEptcSq3KnjJt/GJV7krzMawVSx+wZqXZ7CNWkAmqnd6brjuNp0RsdX6Y16ZjeG9yurhSPg2H1YeJhdnI+qRWXUORexlLHe5kjS6bSt8Te6K/u4z7v7O0xElxtaWFfAIbhtOg/AUwQLBRdaaQjfWkt3nmtQQH7RlTNNOd08J8yVKL+BaN9QjNY4i0cQ91e98i3xF5hVA+Hq0ZgFBBHhHWchAsYnjeflBZ/bb/2uTIWMpqbLX1zcwj5PRRsixHT5Vc4wp7bFLAavwNrj1BMtxbvQnqk9/CmTkz/nZc0pr/BlrjYUf71N5vwhknmVptBGSePpHWGcbks60qblyuPcekWLJP6tHRZgSidhXsG8sz42QPfYnBk78xGeCmK1E3YDxtXB5Z7r9iR+N06rZcvISgNbWYiPr9RhqUPNhZFcmGBrcIJb9U4resAEZ2ptVzfObJXftSkQlVDRtgphaAz8VVWJY5gt2SL6f0ldgIsXo9/SCGf17HTqoNqiKqAlf55ED2XdNuGJIQaA5a4/cU5Af/XpFh7Y4BE7ofGnVnBDKiccnBVQy0x4O2rU6DttFPFWeh2ODIcsCJzlhgcDyAmFXpsdqtCxn2iwbsl9no+f1BWK6h/UmbVebACARJtkqNYwJ1GArIlWhdG+9SQZ+CFfPCy5AT+rMYW/U+DAMAEuZDU/VHB0iQtewTxSQ1446b4lQ8nwDEt0lpPgueJuf7Jl+OXDLJWIYpMwz/rnpKZrtqX5kG+6yz28gKeYPuzbZJy6BstS4P3iluOn6orKHuIk42VjqVVYG4+g5aMYcMiBL40k+nxyMmrGlOyqg3eq7J64stmfz3OQ//+htJxIYl9seF/a1J3aUFOoxAxeOv7mMMIvu4yXKt0lk3AwxtMLRJBuYphQUuYELP3q0to8h4sQbIUb2cTVIPdf4CmGR++Ckf+y05S3hHNWAxKuyi7VGKTB2CWaThgb1EL+vcFOb27RJ96y8G8WIkZ/7BVWusfAxJTb/8/mPJECgFrccl3Qf+YJk2fR1tIz+WuML2ReBEG+/cWFyqVqfKR75WtsR93TyjawElALSeC3Gm8okNgKJWHGuwuFmtC1mq34e1yDG8nRFWcYthOuxIbR7kGvpj2vJNfCneFcdJKB2JACXeljD+IAhLIBuM68SwBKrZ620vNog/Y/I0nzqOOt4EDhAdf1liNs547rQhx4IVDft2a77jBeZDVAhZzonGOHtO8kq4k/QaKDUJN47SOKxNQb66itmb03kWkzeObZ/bzZrt6DxvrUobqx8lTjidalDggK5tHMVG7PtNnuxcZYL+5T3WHn3517Zat+k1TAHRMdfD+w8YlRAWjN9u3DlBEE/MeHsTLWdXKqUHfH6TVod0HNJl6x4I0tuAtkSSQG/D5MHJlws/fP98a6TTT7Zid2S1Ck4wS5CXgWw+zlTOBLg/avlvI0j6h7Yj+X1DI1p2jRV0UroH8hEfSyTE9BEyHcc1X8HcxOFPz9Ejcj1E4nDI+Q3ZnrsMnejZ8afowehSlZfqQ+wXaBfbda0FcOeYYhfcMKh+Q8T+Ro/YDJItbVe5rYZ0AVbP7opaeJ9scmXvlQu5qAr4qoC6Cc8Qu1Nb0qnWXP+yRcZ9hfVNEl9VJahA22KaK3Mj6dMYDqU+xafLQjpqYfU9pVmB6ehODTVqUZX3sqipbZcqIQRHSA0TeurRi1HohWeGX1EQwX0Yd0WfcwETF0E1yvNk1Shn36g8xgeOqU3/nl/5HYfhUQ9hH41A6+qxDKtqY0CsLyhAQ/bQQzh6Frr7sF3/OhHj2kgwvKMjjusLG+sXnDwwRJXbhzbLd0gVWRdui6ECy8BmU/GMUbzYZwF2CmDTOvnns4Opi+26mrtY7DAKW//rfMl5hG91jVPcERHdI6KKfrjOIrMn/48f9gVS+CoSUzMg+xndA9LCqYygP1igqvrbecDi42D39eBkEH8CQ6tvJEjHVBtpOV0GljL+t9ApvENpgk++8Hl0MJNU7iaijvS+E9X9Yoms0tkOJLz/bGn38Wqd68+yqoOjaAuTTzc3I5rKXGyBfAuQP1rDtApkBpqPU5BUxwFzWGA7r7G6E36nsZMM+4+P3ZE292alUAv8WZPbmt6+E8uHqoxN6rj2nKmFHzu844MPrFAeks5XNXxt1j8Rw28NaODtSJ5k4c7cQMe85SckD32AnBqbACi10QX6YHMjAzQCIgZxTEzq6i5pKVCqucr4997JaP/7jF7/gafn4QvcDu0bmmfETvXSR1ypXDBfs2AaH0xA/zFX5jv3wOri9C0yoQyIjcthMz27wfBKWAhBh00REm64fqQPjqGkUxHd/AwRiefAXUsSj4VcmszZb1OAujRbyQXcTOWgmD5QyV7mcoAmCBYOJI4phkXTbiifyIvHhDWzLVO6V8qErXJkIMeVTOhW4BpQPMJQbYLtIuoeANXJfs3HAqmZ0YTvvRqy7aG2oM+y4mDaFaP69RaCNIzrn+fEXeV6Ll98vsWL85/29rVtWdKCs5dGzgYL1ygC9w3C0RZ6mBFyhd1ySTD+0r0ilnhH7oej8km3JlOhxWuOjVfuZeHoD4fYKfkDNSwmRg8/8P+/Ci41U6QOkzvprnz4UxfzpeXhNqVS8EHkvPUiMhvEqrThbdzbG86PFDLCP6oGLVTOa85f0+v5pKePSOevGK9Djjpi8+LlgS8P/38ydKxaYE69ujvoswpCD9fECY7DaWxjTfT3MHv9u83pAsaxzwgrjVjJMHqZrmojGssDpw6q9xUMxxqvNqMNkdiWXw3rkqZFS7zkZfVvFtN4fHWyRJSn9ph94xf3Vwq8bCHiS3mjR/T2THXeVZtNBLgFXJCWtwFmEsnh1xQQIM/b1sUYZoyPNBtFm+GhgCFkABWPuA3kdbJ0cKg5FVXHNrpqJVONREcZTfjtvp4tNvPd6txTEWdlCh/1/Pwtzsx6fKmZFQuNyYK1Mye0z7Zw+ImgfVsamXHUDIHIoGZdeW9zLB/ybmOd62Q8R8pfEcnP+S7SBqWrpZZ6BuHNZ5wJkTZ8F2G7ovC7ahNDGYx291L9S27sTe0KtBEHaApr/nNjkUo3UPhr8J4wOc/cJX8Y2EvhfRNcGh2U8qAXqmc1Koq0UdoWT/N0L9g2Bbpe5FOjN8569W1OvbnS+QiIhdEqvrshZu9ymmipbOIuB+TI5QmVoaZ3WvTvzCfcDcV666QMbgqw2bxt2LBwCSAaEq5hXQ15b/sxN7HOhpjnUr5bJTTLP36Is23440uWaumCsFU++Q6O4I0fRHtaDlwsp6GQs61bA1yGJuGToJdQXAi1qmtYvK2+4qNsDvTMfRM79UleEFvzZg4tXtYmwR4RwIyzpetBfz5QMsH3V+WPSBFuzIDbvcAl+9WyoJES2+7BtNk+S9QCkbQYX4t2BBpvrhbfgmQ4kFu5vkJ9rw4gUUR+HQwGD5DHsIT4cl4XwS4mu4VTZC56Ma8uPjK9hpAmOgTffinsOxtEoB4bblC8UYiiu64cS2mpzIOOzHtcmt2wy+o1XViNpb/pxj0uNPX6BFmG8AKw3o4exfF5TMVn4FLrd59EQs/hOYGP4n6AyW5qJDC+Co5Cl1w+rsNoKkhPkE7jZoJr/fRAuE1wKv8u7EpatOQ5YGqOTy40p71Q5eVs+4YRrBOiVbmi9CBBWBpVzAm9pQGTTf5RpcQ+dsramVGgzXqLwLo5L+87hW2Wf2XLBqL+tEJnnAZN3Cp955tFkk3ndhYGJL16Ya7fjpYh0QuPDvD5xiPrjO2yDbcvMar2zW84k1bA17ClTXwVU/pav9AjH5zffSFXo9qvawBWXGvRm3XOd2cxQn10vXxZ3fqCzfYG+UT23eNwCAVkWMOQVDw3RqfoUpuDXEJSkCyc6/4VfV9TxxmGftoqnGbP53YmhXnZ69ZoFQJEnyw7NmdL0Cs/T4Nv4rAGBNxaS0Zr3vMcO/CZ0gMRw7G5bTzQpO+xZtBqhoRoQh7vXj+OJIW/CdayFDOIPD6IgnZJGzp2eAJpUd2RDgDjCff0qpOAU7iXVu3YV4Vh3/n7WP8skRpyJpTsNFoNgogdJBbGcF8mduaoWP0Sv6fgHeEHzjngMr1npHGYd4pgT5Y/FG8A5aDuunZDub7YMtoaLjXmPLtaF3Zm86PBUxvR60l34wyDrm4z/XMgvNktnUvPxG5Bji/sVaUtWz7WRoPZyxa7XaJQCNKJGkN59AbVu3zv85+0j8oCIUAKuEo8XknBMO/sAn/5I+AF9/IiL/8iliWs5/0ouw3az1oBkE7ZEYWrN2tKQsyVm/6RsIfJBziKQ/pRKJM1B/nhsC9WKfNzUbcUSo0uriEhC85FjoeC2wgdhaIXHYa5m3Vj/VoNfiTc2FqGaYFBnS/PC/sZxRkIqHKy7fQOOQZZjwbzg0kAdI7YHvyB9SZg1PReThzPy4KfaYqsn/5s/KLk6mw0vbXaUeYOii0SIkJAQdnQRKTolidPA8/COZQ9BM92vvqKedDzOEol1JhQwDHHXSlrUl2JVwMd8saABdc6FXfZk4ZYgYGJtQnGrHTM2RQS6aAye/AgtsqVh92mLyVK9t8tU+YPg0SleVuNnY9EX8xtTe8CvgOvJgfJ4PHj7sZKJC3ez+oGjnAcYNLEZ+yyrD8f2Pj/K2HPwA1OTkL6I0Iw6RilXP8sY0J0UNe15V+fDobyTMiWrqUgfxrVvpvp5Kuzu2p+2F72OdUtgFELQ6OQwdV+qvtXVXvPDxmxEs4Bnqgn/TsYFz833MEOTEI1tIdSqQI023MyOlLdWbT5Nd1wtqJZM+GK5woX2aD4qNx5bm4UZDawOW/HneAJ5UHyntNczY+zdHDjusgQ3qzXdn5Z/ggqdj4YX5lKU8nidW4lQ2p0/UlX9ax3vWK0zkgo4pl2R/Tkt38sqUqPC0JjX3wH0fj2+C5iYOh81/wg2/PxJO80BSf61JjyWBFynN2r5+95sczSUqY3y8YZd92zSfzg1+46TCxceVa+jvfp4vD6AneUzjLqBmdAzZSpR+xliyHUdwCMLaOutn4/zaWmxEsnxSQEr9CMz8eDcNzFSp6qMFuAqdsRJHpJFLzEZjCvhXQl2Xp7eLtBh4QmhyimJxx7C/jXAFnkyHoxh/QNumveGyDeomgeT4wB/7gBMfxreykavSI4KHfIbDeaKRk2wsWKXBiDD1hzSbCVJhqma5sA9aKnm1l9DuZJMA4M2y7K8MVcfVAxE60RCq7Dw6Jv1cEFbzXNVK2aC6tbuZ5EZ/Xu998ujaLEyCKAnPF3DVc0lufX8JnEaF2OhP9RF9mOZCsL1Bcm3sKtbxUn/xvj+hZxpLZJ2cw7UsM1WAevqpn7KkDrBb2+Lu4MFRyJ5tBVZfs28niYNLQssSRwfc2yQrB/7g9UCrqOTyPC4qXfTrARLP0MSX0afSAiFD1rKTtE6CUmi6lbJQHGXZHHvgWrhciIeAGSrdczQ6R7HVmsu5Ipbaw6GdxBQfn21oNQK29ULa7UIkcBGiPexrQRDpvndd/ubTRAo3SwcSczEkpp6FHGJPvX3siIRQwFOK4VPccwMzKMf5SqC8fLbriTKj6Lv9zSm4CFAVzxfgINJlRbvKZuTwg8qKRGROQq9dKDrj/FkCDUwOV3ePatEUuwCSCnDckN1tXySD50d0TStct83Er65dQtCLrUTD4GgRMGnFjREWO+ozZsKwFqryGFyWb5rlaD4SPq2lS7Ng1Ob7wT4ehIftSWBT54LsjixKBv9qz3v/jkShFTI59Z/mwNQ+BaogQwhMvb5F8EfMaU5Z11jU8OYPL5mWZ2glucJL5uEEKLaTLWVrWfXuJVzcpr07zl7ZCjLQ9ucLpAoCsUj/q4x7nK0mVBzOcw1hSJDsAVxBqp+tVSy+rfRsl7TYEhqQwlSw=" + "blueprint": 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" } diff --git a/Quikkly.framework/Headers/Quikkly-Swift.h b/Quikkly.framework/Headers/Quikkly-Swift.h index 0bdebb9..42dfd4e 100644 --- a/Quikkly.framework/Headers/Quikkly-Swift.h +++ b/Quikkly.framework/Headers/Quikkly-Swift.h @@ -292,7 +292,7 @@ SWIFT_CLASS_NAMED("Scannable") /// \param completion Block with an array of detected scannables; can be empty but not nil /// + (void)detectInImage:(CGImageRef _Nonnull)image completion:(void (^ _Nonnull)(NSArray * _Nonnull))completion; -/// Asynchronous detection of scannables in an image +/// Synchronous detection of scannables in an image /// \param image The image to scan for scannables /// /// @@ -346,13 +346,24 @@ SWIFT_CLASS_NAMED("ScannablePipeline") - (void)clear; @end +enum QKScannableResult : NSInteger; /// ScannablePipelineDelegate allows you to receive processed results on the main thread. SWIFT_PROTOCOL_NAMED("ScannablePipelineDelegate") @protocol QKScannablePipelineDelegate -- (void)pipelineDidProcessImage:(CGImageRef _Nonnull)image scannables:(NSArray * _Nonnull)scannables; +- (void)pipelineDidProcessImage:(CGImageRef _Nonnull)image result:(enum QKScannableResult)result scannables:(NSArray * _Nonnull)scannables; @end +/// ScannablePipelineResult for more detailed results. +typedef SWIFT_ENUM_NAMED(NSInteger, QKScannableResult, "ScannablePipelineResult") { + QKScannableResultUnknown = 0, + QKScannableResultNoFrameScanned = 10, + QKScannableResultNoShapesFound = 100, + QKScannableResultShapeFound = 200, + QKScannableResultDotsFound = 300, + QKScannableResultSuccess = 10000, +}; + enum QKScannableSkinImageFit : int32_t; /// The ScannableSkin class holds relevant data for the visual representation of a Scannable object. diff --git a/Quikkly.framework/Headers/quikklycore.h b/Quikkly.framework/Headers/quikklycore.h index 9544284..28e84aa 100644 --- a/Quikkly.framework/Headers/quikklycore.h +++ b/Quikkly.framework/Headers/quikklycore.h @@ -47,15 +47,15 @@ Otherwise Python bindings get messy, and floating point access crashes with a ve #define QC_EXPORT __attribute__((visibility("default"))) -#define QC_VERSION_STR "3.3.4" +#define QC_VERSION_STR "3.3.6" // Greyscale, 1 byte per pixel. Array order is: row, column. // For NV21, just use GREY_UINT8, its grayscale channel comes first in memory, and the color channels will be ignored. -#define QC_IMAGE_FORMAT_GREY_UINT8 0 +#define QC_IMAGE_FORMAT_GREY_UINT8 0 #define QC_IMAGE_FORMAT_BGRA_UINT32 1 #define QC_IMAGE_FORMAT_RGBA_UINT32 2 -#define QC_IMAGE_FORMAT_NV21_UINT8 3 // Input byte buffer must be 1.5 * height rows! +#define QC_IMAGE_FORMAT_NV21_UINT8 3 // Input byte buffer must be 1.5 * height rows! #define QC_OK 0 @@ -76,6 +76,15 @@ Otherwise Python bindings get messy, and floating point access crashes with a ve #define QC_JOIN_MAX 16 // Sum of all join constants, do not use. +#define QC_SCAN_STATUS_UNKNOWN 0 +#define QC_SCAN_STATUS_NO_FRAME_SCANNED 10 +#define QC_SCAN_STATUS_NO_SHAPES_FOUND 100 +#define QC_SCAN_STATUS_SHAPE_FOUND 200 +#define QC_SCAN_STATUS_DOTS_FOUND 300 +#define QC_SCAN_STATUS_SUCCESS 10000 +#define QC_SCAN_STATUS_MAX 99999 + + typedef void _QCPipeline; @@ -100,8 +109,9 @@ typedef struct _QCTag QCTag; // You can access the data until a matching qc_release_result() call. struct _QCScanResult { QCTag * tags; + uint8_t * status_image; // May be null int32_t num_tags; - int32_t _pad; + int32_t status_code; } __attribute__ ((aligned(8))); typedef struct _QCScanResult QCScanResult; @@ -160,7 +170,7 @@ int32_t qc_process_frame( ); // Allocates a new QCScanResult, and fills it with data from the last processed frame from the pipeline. -QCScanResult* qc_alloc_extract_result(const _QCPipeline* const pipeline); +QCScanResult* qc_alloc_extract_result(const _QCPipeline* const pipeline, uint8_t return_status_image); void qc_release_result(QCScanResult * result); // Generate new tags. diff --git a/Quikkly.framework/Info.plist b/Quikkly.framework/Info.plist index 666c8e4..4c0a730 100644 Binary files a/Quikkly.framework/Info.plist and b/Quikkly.framework/Info.plist differ diff --git a/Quikkly.framework/Modules/Quikkly.swiftmodule/arm.swiftdoc b/Quikkly.framework/Modules/Quikkly.swiftmodule/arm.swiftdoc index 09afb6d..27c73eb 100644 Binary files a/Quikkly.framework/Modules/Quikkly.swiftmodule/arm.swiftdoc and b/Quikkly.framework/Modules/Quikkly.swiftmodule/arm.swiftdoc differ diff --git a/Quikkly.framework/Modules/Quikkly.swiftmodule/arm.swiftmodule b/Quikkly.framework/Modules/Quikkly.swiftmodule/arm.swiftmodule index 6a71d2f..122daba 100644 Binary files a/Quikkly.framework/Modules/Quikkly.swiftmodule/arm.swiftmodule and b/Quikkly.framework/Modules/Quikkly.swiftmodule/arm.swiftmodule differ diff --git a/Quikkly.framework/Modules/Quikkly.swiftmodule/arm64.swiftdoc b/Quikkly.framework/Modules/Quikkly.swiftmodule/arm64.swiftdoc index f64fd24..c4101c6 100644 Binary files a/Quikkly.framework/Modules/Quikkly.swiftmodule/arm64.swiftdoc and b/Quikkly.framework/Modules/Quikkly.swiftmodule/arm64.swiftdoc differ diff --git a/Quikkly.framework/Modules/Quikkly.swiftmodule/arm64.swiftmodule b/Quikkly.framework/Modules/Quikkly.swiftmodule/arm64.swiftmodule index 54b5c52..9e90609 100644 Binary files a/Quikkly.framework/Modules/Quikkly.swiftmodule/arm64.swiftmodule and b/Quikkly.framework/Modules/Quikkly.swiftmodule/arm64.swiftmodule differ diff --git a/Quikkly.framework/Modules/Quikkly.swiftmodule/i386.swiftdoc b/Quikkly.framework/Modules/Quikkly.swiftmodule/i386.swiftdoc index 427cdb0..43a87c0 100644 Binary files a/Quikkly.framework/Modules/Quikkly.swiftmodule/i386.swiftdoc and b/Quikkly.framework/Modules/Quikkly.swiftmodule/i386.swiftdoc differ diff --git a/Quikkly.framework/Modules/Quikkly.swiftmodule/i386.swiftmodule b/Quikkly.framework/Modules/Quikkly.swiftmodule/i386.swiftmodule index f96290d..7be7f84 100644 Binary files a/Quikkly.framework/Modules/Quikkly.swiftmodule/i386.swiftmodule and b/Quikkly.framework/Modules/Quikkly.swiftmodule/i386.swiftmodule differ diff --git a/Quikkly.framework/Modules/Quikkly.swiftmodule/x86_64.swiftdoc b/Quikkly.framework/Modules/Quikkly.swiftmodule/x86_64.swiftdoc index 268c8ea..d494b6a 100644 Binary files a/Quikkly.framework/Modules/Quikkly.swiftmodule/x86_64.swiftdoc and b/Quikkly.framework/Modules/Quikkly.swiftmodule/x86_64.swiftdoc differ diff --git a/Quikkly.framework/Modules/Quikkly.swiftmodule/x86_64.swiftmodule b/Quikkly.framework/Modules/Quikkly.swiftmodule/x86_64.swiftmodule index bcffb4c..7133d2f 100644 Binary files a/Quikkly.framework/Modules/Quikkly.swiftmodule/x86_64.swiftmodule and b/Quikkly.framework/Modules/Quikkly.swiftmodule/x86_64.swiftmodule differ diff --git a/Quikkly.framework/Quikkly b/Quikkly.framework/Quikkly index 320ccfb..b19e575 100755 Binary files a/Quikkly.framework/Quikkly and b/Quikkly.framework/Quikkly differ diff --git a/Quikkly.podspec.json b/Quikkly.podspec.json index 9fe7572..2491286 100755 --- a/Quikkly.podspec.json +++ b/Quikkly.podspec.json @@ -1,6 +1,6 @@ { "name": "Quikkly", - "version": "3.3.5", + "version": "3.3.6", "homepage": "http://www.quikkly.io", "license": { "type": "Commercial",