mirror of
https://github.com/kkapsner/CanvasBlocker
synced 2024-12-22 04:40:20 +01:00
parent
e9ce4668fe
commit
0f3141ee12
@ -1560,7 +1560,7 @@
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"description": ""
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},
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"sanitation_resolution.switchToNonPersistentRng": {
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"message": "switch to \"non persistent\" rng",
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"message": "switch to \"nonpersistent\" rng",
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"description": ""
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},
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"sanitation_error.fakeEverythingInCanvas": {
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@ -104,7 +104,7 @@
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"description": ""
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},
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"labelForDefaultOption": {
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"message": " (default)",
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"message": " (Standard)",
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"description": ""
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},
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"group_general": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "nichts (komplett weiß): es wird immer ein weißes Bild zurückgegeben. Hierbei sollte die Option \"Alpha-Kanal auch vortäuschen\" aktiviert werden. ACHTUNG: Nicht im Modus \"Bei Ausgabe vortäuschen\" verwenden.\n\nnicht persistent: die Zufallszahlen werden bei jeder Vortäuschaktion neu bestimmt. Beachten Sie, dass für viele APIs ein Zwischenspeicher verwendet wird, um eine Detektion zu verhindern.\n\nkonstant: Variante von nicht persistent. Wenn die Daten eines Canvas verändert werden, haben gleichfarbige Pixel danach auch die gleiche Farbe.\n\npersistent: für jede Domain werden die Zufallszahlen nur einmal bestimmt.",
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"message": "nichts (komplett weiß): es wird immer ein weißes Bild zurückgegeben. Hierbei sollte die Option \"Alpha-Kanal auch vortäuschen\" aktiviert werden. ACHTUNG: Nicht im Modus \"Bei Ausgabe vortäuschen\" verwenden.\n\nnichtpersistent: die Zufallszahlen werden bei jeder Vortäuschaktion neu bestimmt. Beachten Sie, dass für viele APIs ein Zwischenspeicher verwendet wird, um eine Detektion zu verhindern.\n\nkonstant: Variante von nichtpersistent. Wenn die Daten eines Canvas verändert werden, haben gleichfarbige Pixel danach auch die gleiche Farbe.\n\npersistent: für jede Domain werden die Zufallszahlen nur einmal bestimmt.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -520,7 +520,7 @@
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"description": ""
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},
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"rng_options.nonPersistent": {
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"message": "nicht persistent",
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"message": "nichtpersistent",
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"description": ""
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},
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"rng_options.white": {
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@ -1560,7 +1560,7 @@
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"description": ""
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},
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"sanitation_resolution.switchToNonPersistentRng": {
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"message": "wechsle zu \"nicht persistent\"",
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"message": "wechsle zu \"nichtpersistent\"",
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"description": ""
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},
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"sanitation_error.fakeEverythingInCanvas": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -520,7 +520,7 @@
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"description": ""
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},
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"rng_options.nonPersistent": {
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"message": "non persistent",
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"message": "nonpersistent",
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"description": ""
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},
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"rng_options.white": {
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@ -1560,7 +1560,7 @@
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"description": ""
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},
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"sanitation_resolution.switchToNonPersistentRng": {
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"message": "switch to \"non persistent\" rng",
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"message": "switch to \"nonpersistent\" rng",
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"description": ""
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},
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"sanitation_error.fakeEverythingInCanvas": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -520,7 +520,7 @@
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"description": ""
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},
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"rng_options.nonPersistent": {
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"message": "non persistent",
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"message": "nonpersistent",
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"description": ""
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},
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"rng_options.white": {
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@ -1560,7 +1560,7 @@
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"description": ""
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},
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"sanitation_resolution.switchToNonPersistentRng": {
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"message": "switch to \"non persistent\" rng",
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"message": "switch to \"nonpersistent\" rng",
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"description": ""
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},
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"sanitation_error.fakeEverythingInCanvas": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -520,7 +520,7 @@
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"description": ""
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},
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"rng_options.nonPersistent": {
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"message": "non persistent",
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"message": "nonpersistent",
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"description": ""
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},
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"rng_options.white": {
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@ -1560,7 +1560,7 @@
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"description": ""
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},
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"sanitation_resolution.switchToNonPersistentRng": {
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"message": "switch to \"non persistent\" rng",
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"message": "switch to \"nonpersistent\" rng",
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"description": ""
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},
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"sanitation_error.fakeEverythingInCanvas": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -520,7 +520,7 @@
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"description": ""
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},
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"rng_options.nonPersistent": {
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"message": "non persistent",
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"message": "nonpersistent",
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"description": ""
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},
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"rng_options.white": {
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@ -1560,7 +1560,7 @@
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"description": ""
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},
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"sanitation_resolution.switchToNonPersistentRng": {
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"message": "switch to \"non persistent\" rng",
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"message": "switch to \"nonpersistent\" rng",
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"description": ""
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},
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"sanitation_error.fakeEverythingInCanvas": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -1560,7 +1560,7 @@
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"description": ""
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},
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"sanitation_resolution.switchToNonPersistentRng": {
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"message": "switch to \"non persistent\" rng",
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"message": "switch to \"nonpersistent\" rng",
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"description": ""
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},
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"sanitation_error.fakeEverythingInCanvas": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -508,7 +508,7 @@
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"description": ""
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},
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"rng_description": {
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnon persistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of non persistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"message": "none (completely white): a completely white image is returned. The option \"Fake the alpha channel\" should be activated with this. CAUTION: Do not use this with the \"fake at input\" mode.\n\nnonpersistent: the random numbers will be determined freshly for each faking action. Keep in mind that many API protections have caches in place to prevent detection.\n\nconstant: variation of nonpersistent. But when altering canvas data same colored pixels also share the same color afterwards.\n\npersistent: the random number will only be determined once for every domain.",
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"description": ""
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},
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"rng_options.persistent": {
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@ -1560,7 +1560,7 @@
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"description": ""
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},
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"sanitation_resolution.switchToNonPersistentRng": {
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"message": "switch to \"non persistent\" rng",
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"message": "switch to \"nonpersistent\" rng",
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"description": ""
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},
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"sanitation_error.fakeEverythingInCanvas": {
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Block a user