Key | Value |
---|---|
FileName | ./usr/share/locale/zh_TW/LC_MESSAGES/dasher.mo |
FileSize | 6655 |
MD5 | 8EE08D88987F8B5450AC29097DAF2729 |
SHA-1 | 05DCC7C97148C3D0EDEFB4A89EA4291A3EA61237 |
SHA-256 | 22CBEEA97541632B544C1F85A0E651D41D8C9C64BC3E3D850181ACD4AAE8A001 |
SSDEEP | 96:TLAbF1ldw+9FuhAeabBy9V6u63zmOa6mVN8XyEDxxv7HPg+uEfNPvAIl54R:TcbFjbFuhAld8st3i6mVN8Rx97Nt0R |
TLSH | T128D1EADB1D302E11D12932FEE5D762442A37D2CE9E965B2B097478803983B7811A77BD |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 2544846 |
MD5 | 327A7018A664CC70CAF726F3F8AF7011 |
PackageDescription | A graphical predictive text input system Dasher is an information-efficient text-entry interface, driven by natural continuous pointing gestures. Dasher is a competitive text-entry system wherever a full-size keyboard cannot be used - for example, . * on a palmtop computer * on a wearable computer * when operating a computer one-handed, by joystick, touchscreen, trackball, or mouse * when operating a computer with zero hands (i.e., by head-mouse or by eyetracker). . The eyetracking version of Dasher allows an experienced user to write text as fast as normal handwriting - 25 words per minute; using a mouse, experienced users can write at 39 words per minute. . Dasher uses a more advanced prediction algorithm than the T9(tm) system often used in mobile phones, making it sensitive to surrounding context. |
PackageMaintainer | Matthew Garrett <mjg59@srcf.ucam.org> |
PackageName | dasher |
PackageSection | x11 |
PackageVersion | 3.2.10-4 |
SHA-1 | 83D76343A06012D9E5BAFEA09DEFAE274C2176D5 |
SHA-256 | DEB1B7BF9C391631F73561191315340F70374E4B38B5EED137E4D8F2C2562E6C |
Key | Value |
---|---|
FileSize | 2547648 |
MD5 | 18ABFBFC3E6F702BD85F296AE0924442 |
PackageDescription | A graphical predictive text input system Dasher is an information-efficient text-entry interface, driven by natural continuous pointing gestures. Dasher is a competitive text-entry system wherever a full-size keyboard cannot be used - for example, . * on a palmtop computer * on a wearable computer * when operating a computer one-handed, by joystick, touchscreen, trackball, or mouse * when operating a computer with zero hands (i.e., by head-mouse or by eyetracker). . The eyetracking version of Dasher allows an experienced user to write text as fast as normal handwriting - 25 words per minute; using a mouse, experienced users can write at 39 words per minute. . Dasher uses a more advanced prediction algorithm than the T9(tm) system often used in mobile phones, making it sensitive to surrounding context. |
PackageMaintainer | Matthew Garrett <mjg59@srcf.ucam.org> |
PackageName | dasher |
PackageSection | x11 |
PackageVersion | 3.2.10-4 |
SHA-1 | 1BA9C6442CC5CE7E5C7828F1E3E3A8732A98CEB7 |
SHA-256 | 98F555FCB1FCD0C68FD5C57C335D4A6793396FE2D954C5B49E242FB1F7B13975 |
Key | Value |
---|---|
FileSize | 2556982 |
MD5 | BA6D7301DB9E31CFAF5B92C47E4F3E5C |
PackageDescription | A graphical predictive text input system Dasher is an information-efficient text-entry interface, driven by natural continuous pointing gestures. Dasher is a competitive text-entry system wherever a full-size keyboard cannot be used - for example, . * on a palmtop computer * on a wearable computer * when operating a computer one-handed, by joystick, touchscreen, trackball, or mouse * when operating a computer with zero hands (i.e., by head-mouse or by eyetracker). . The eyetracking version of Dasher allows an experienced user to write text as fast as normal handwriting - 25 words per minute; using a mouse, experienced users can write at 39 words per minute. . Dasher uses a more advanced prediction algorithm than the T9(tm) system often used in mobile phones, making it sensitive to surrounding context. |
PackageMaintainer | Matthew Garrett <mjg59@srcf.ucam.org> |
PackageName | dasher |
PackageSection | x11 |
PackageVersion | 3.2.10-4 |
SHA-1 | 65299369CE2CE04ADD2005A30DB5442C7E9DBC26 |
SHA-256 | D4F52C11A268D2C9F706AB51B5C448E1F67C6BAB70946787E0766EBC5EA5F479 |