| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-scipy-doc/html/_images/scipy-signal-peak_prominences-1_01_00.png |
| FileSize | 14489 |
| MD5 | 71414F2BF69E092D141CAAE5EF607AEC |
| SHA-1 | 00582294C0A1642C313ECD81C9920502CFB67CD7 |
| SHA-256 | 425359B6B3ABC46A6172A725A00B549C0EF28241711E08EB28BA88D9CE541E3A |
| SSDEEP | 384:TGvu+rhq4DbXQK72RKBrAWs2srTvx9E5UXRrXsDm7ciA9:Cxg4DbKCcWs2gXE5oym7ciA9 |
| TLSH | T1FE52AEEF807CCD8AA6CCA1C87E98A71FD7D18C7D05F40D742C2656131AB2B460B2E669 |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 26846444 |
| MD5 | 1E6E324ADC4FCBB399A026EB18A10FBE |
| PackageDescription | scientific library for Python - documentation SciPy supplements the popular NumPy module (python-numpy package), gathering a variety of high level science and engineering modules together as a single package. . SciPy is a set of Open Source scientific and numeric tools for Python. It currently supports special functions, integration, ordinary differential equation (ODE) solvers, gradient optimization, genetic algorithms, parallel programming tools, an expression-to-C++ compiler for fast execution, and others. . This package contains documentation for the SciPy library. |
| PackageMaintainer | Debian Python Team <team+python@tracker.debian.org> |
| PackageName | python-scipy-doc |
| PackageSection | doc |
| PackageVersion | 1.7.1-1 |
| SHA-1 | 5F85E905D28EEFF4D761DB41E64626F4F22F719A |
| SHA-256 | 439936D8812685CA4120ACB1B7D558BB66B98578FCE197BD1AB3C813C51773F6 |