Description: Changes the copy in the email sent out to new VIP users./. The text above is not a recommendation to remove Karen's Hasher by Karen Kenworthy from your PC, we are not saying that Karen's Hasher by Karen Kenworthy is not a good software application. This text only contains detailed info on how to remove Karen's Hasher supposing you. Nov 26, 2018 Karen's Hasher permits computing and verifying the MD5, SHA-1, SHA-224, SHA-256, SHA-384 or SHA-512 hash value of any text string, disk file, or group of files. A Hash Value is a sort of digital fingerprint, uniquely identifying each text string or file.
Latest version
Released:
TF.Text is a TensorFlow library of text related ops, modules, and subgraphs.
Project description
TF.Text is a TensorFlow library of text related ops, modules, and subgraphs. Thelibrary can perform the preprocessing regularly required by text-based models,and includes other features useful for sequence modeling not provided by coreTensorFlow.
See the README on GitHub for further documentation.http://github.com/tensorflow/text
Release historyRelease notifications
2.2.0rc0 pre-release
2.1.0rc0 pre-release
2.0.1
Graphicriver modern red pattern brochure. 2.0.0
2.0.0rc0 pre-release
1.15.1
1.15.0
1.15.0rc0 pre-release
1.0.0b2 pre-release
1.0.0b1 pre-release
1.0.0b0 pre-release
0.1.0
0.1.0rc2 pre-release
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages. https://gradeever.weebly.com/blog/nbp-colourmapx-11a-photoshop-plugin.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size tensorflow_text-2.1.1-cp27-cp27m-macosx_10_15_x86_64.whl (7.2 MB) | File type Wheel | Python version cp27 | Upload date | Hashes |
Filename, size tensorflow_text-2.1.1-cp35-cp35m-macosx_10_15_intel.whl (7.2 MB) | File type Wheel | Python version cp35 | Upload date | Hashes |
Filename, size tensorflow_text-2.1.1-cp35-cp35m-manylinux1_x86_64.whl (8.3 MB) | File type Wheel | Python version cp35 | Upload date | Hashes |
Filename, size tensorflow_text-2.1.1-cp36-cp36m-macosx_10_15_x86_64.whl (7.2 MB) | File type Wheel | Python version cp36 | Upload date | Hashes |
Filename, size tensorflow_text-2.1.1-cp36-cp36m-manylinux1_x86_64.whl (8.3 MB) | File type Wheel | Python version cp36 | Upload date | Hashes |
Filename, size tensorflow_text-2.1.1-cp37-cp37m-macosx_10_15_x86_64.whl (7.2 MB) | File type Wheel | Python version cp37 | Upload date | Hashes |
Filename, size tensorflow_text-2.1.1-cp37-cp37m-manylinux1_x86_64.whl (8.3 MB) | File type Wheel | Python version cp37 | Upload date | Hashes |
Hashes for tensorflow_text-2.1.1-cp27-cp27m-macosx_10_15_x86_64.whl
Algorithm | Hash digest |
---|---|
SHA256 | 37e73ea6d347544c53ff19e2ba6549eaa72902f7f694d7ae8e95df6894717bcb |
MD5 | 6fdcbebbf6d1a903a80ffa62edca5ea1 |
BLAKE2-256 | 870bad910019800202812d226524244472d9475a4dd531e5f9b1cb3e11ef685e |
Hashes for tensorflow_text-2.1.1-cp35-cp35m-macosx_10_15_intel.whl
Algorithm | Hash digest |
---|---|
SHA256 | 4080f9dca9b062045597d5cc2ec8dd0ef783f50d49587565e8387db3bc62b4a2 |
MD5 | 6521141f1d69c0755bca892a264c059c |
BLAKE2-256 | 93fdd0ce3f1064b852e40930d9be6bf9ea258c0a41704e57a3f35be54778abdb |
Hashes for tensorflow_text-2.1.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm | Hash digest |
---|---|
SHA256 | ff366caa7cb25941667d52a4fbbd4ab569433a6f3adb8c8f25d0a877d451b3df |
MD5 | 336fd19bd93d7c0a8d87164ba5b2f741 |
BLAKE2-256 | 5b05113347e095bc7eb5e5dc975165de9a7474d1102157f739a67b3a0467989b |
Hashes for tensorflow_text-2.1.1-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm | Hash digest |
---|---|
SHA256 | 0c72175592af400f6acef0ecf5252e87e0b0a44d5f8bd09c50d2490cb59f9f0a |
MD5 | f0284916dbd2f5e3ed71475ad9f4fbec |
BLAKE2-256 | d00a50a59626dac0e205362e9b7201084c7b5db6eb8343413cb86d2234b81234 |
Hashes for tensorflow_text-2.1.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm | Hash digest |
---|---|
SHA256 | 898b272cca62211662be0169ea50d70bccb7be1752bbad8bfe66047033e4754b |
MD5 | 19f17e782c2735902b98ed426eb3ecb3 |
BLAKE2-256 | 5035b87b84648f84b9021df3407422d3cf9afdcbb9b087d2bf293fe72557b7a5 |
Hashes for tensorflow_text-2.1.1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm | Hash digest |
---|---|
SHA256 | f281c3261f2433e69d69c4b7f90e03a227a8feadcae0dc48ed16d8ecfda91536 |
MD5 | 14a8827d66580ca559d048492cfb3790 |
BLAKE2-256 | c67f75428cc7943154a149734d60e16c18a0dc506ab1c9d04c4624c7585b9d75 |
Hashes for tensorflow_text-2.1.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm | Hash digest |
---|---|
SHA256 | 67916d1bbbfc8e1d8923b99d1100eca2d538a6fd7064afe16727f4180820ca07 |
MD5 | caf79d2f3c7829b2cc2d40d3bf656ac2 |
BLAKE2-256 | 36b56d6e6d5c9c4025a30928159acb0c8452bd730a770d0722dee133ee5d7962 |
Released: Transtype pro 4.0.1.
Toolkit for securing information into a database
Project description
Cryha is a Python toolkit for securing information into a data base; it letshash passwords, and encrypt/decrypt personal information. It is ready for inputof Unicode characters, and the schema is returned as Unicode.
The text is stored according to this schema for a hash:
separator, the hash function identifier, separator, the salt, separator,the hash output
And this another for a cipher text:
separator, the cipher identifier, separator, the mode identifier,separator, the IV parameter, separator, the ciphertext
The idea of the schema has been taken of Linux systems that store the hashedpasswords so, using a $ as separator.
Text Hasher 1.0 Full
The use of a schema let us to store the salt (for hash) and IV (for cipher)–which must be unique for each field–, together to the parameters that hasbeen used to hashing/encrypting the text.
The salt and IV parameters are obtained from a random string –using the PRNGof the operating system– into a domain of 256 possible values for greatersecurity.
[PRNG] | Pseudo random number generator. In Linux is /dev/urandom. |
Project details
Text Hasher 1.0 0
Release historyRelease notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size cryha-1.0.tar.gz (22.1 kB) | File type Source | Python version None | Upload date | Hashes |
Close
Hashes for cryha-1.0.tar.gz
Text Hasher 1.0 Software
Algorithm | Hash digest |
---|---|
SHA256 | 3b894bf121d3c5e74efc176d60de82c8761293315f1979c9d597f59bb58beed0 |
MD5 | 83c1a1e7e3b80b60b096dc4608f5103d |
BLAKE2-256 | b7f83b2ee5d168f1f4ac7b5c2ef159eefe5f227d1bd9051f6d6a8be9dab4fb22 |