Package: python-kwant-doc Source: kwant Version: 1.4.2-1 Architecture: all Maintainer: Christoph Groth Installed-Size: 7831 Depends: libjs-sphinxdoc (>= 1.0), libjs-mathjax Homepage: http://kwant-project.org/ Priority: optional Section: doc Filename: pool/main/k/kwant/python-kwant-doc_1.4.2-1_all.deb Size: 5255580 SHA256: 99e2ef8d553d4b9aa133b61df98a9494efde97cf9e82694454971e385c89f31f SHA1: 1ea2725a23354a43f80ab1a1091a31487a848222 MD5sum: 881b6d5c4ad2a3168af9183a2c532949 Description: Kwant documentation Kwant is a Python package for numerical quantum transport calculations. It exposes the natural concepts of the theory of quantum transport (lattices, symmetries, electrodes, orbital/spin/electron-hole degrees of freedom) in a simple and transparent way. Kwant offers direct support for calculations of transport properties (conductance, noise, scattering matrix), dispersion relations, modes, wave functions, various Green’s functions, and out-of-equilibrium local quantities. Other computations involving tight-binding Hamiltonians can be implemented easily. . This package contains the documentation for Kwant in HTML format. Package: python-tinyarray Source: tinyarray Version: 1.2.2-1 Architecture: amd64 Maintainer: Christoph Groth Installed-Size: 149 Depends: python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:4.0), libstdc++6 (>= 5.2) Homepage: http://kwant-project.org/tinyarray/ Priority: optional Section: python Filename: pool/main/t/tinyarray/python-tinyarray_1.2.2-1_amd64.deb Size: 40864 SHA256: 543d55f9a348dcce92323496801e92bfa7bec0303e11fc1cc47dd7874b8219b6 SHA1: 18b5c12a8a133814dc53ce21980a14b728bfffbd MD5sum: 75f867e97caf4fc31869769577322a2b Description: Arrays of numbers, optimized for small sizes (Python 2) Tinyarray is a numerical array module for Python. The multi-dimensional arrays it provides are best thought of as (possibly nested) tuples of numbers that, unlike Python's built-in tuples, support mathematical operations. Like tuples, tinyarrays are hashable and immutable and thus can be used as dictionary keys. The module's interface is a subset of that of NumPy and hence should be familiar to many Python programmers. Tinyarray has been heavily optimized for small arrays: For example, common operations on 1-d arrays of length 3 run 3-7 times faster than with NumPy. When storing many small arrays, memory consumption is reduced by a factor of 3. In summary, Tinyarray is a more efficient alternative to NumPy when many separate small numerical arrays are to be used. . This package installs the library for Python 2. Package: python-tinyarray-dbgsym Source: tinyarray Version: 1.2.2-1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: Christoph Groth Installed-Size: 243 Depends: python-tinyarray (= 1.2.2-1) Priority: optional Section: debug Filename: pool/main/t/tinyarray/python-tinyarray-dbgsym_1.2.2-1_amd64.deb Size: 212688 SHA256: 259b1b42334c6ad0842bc6d1f45a3fc5f8d6c10ad20cc954ca78fecb118245e7 SHA1: f75e482251610f3fc2f1feec4fea75ddd47fd9ce MD5sum: 7056a600180534eb40bfd36817e10870 Description: debug symbols for python-tinyarray Build-Ids: 76ee90cf2d494d8f305ebea27d962755336667fa Package: python3-kwant Source: kwant Version: 1.4.2-1 Architecture: amd64 Maintainer: Christoph Groth Installed-Size: 3724 Depends: python3 (<< 3.8), python3 (>= 3.7~), python3-numpy (>= 1.11), python3-scipy (>= 0.17), python3-tinyarray (>= 1.2), python3:any (>= 3.5~), libc6 (>= 2.14), libgfortran5 (>= 8), libmumps-5.1.2, libmumps-scotch-5.1.2 Recommends: python3-matplotlib (>= 1.5.1), python3-sympy (>= 0.7.6), python3-qsymm (>= 1.2.6) Suggests: python-kwant-doc, python3-pytest (>= 2.8) Homepage: http://kwant-project.org/ Priority: optional Section: python Filename: pool/main/k/kwant/python3-kwant_1.4.2-1_amd64.deb Size: 861560 SHA256: 6758715a97394cd766cde09f0af4c719d8d25425f7ed10a09baecb2a89c5161a SHA1: 08c66aaa8fb6e9cfd6da95fa90a2b7b864a71347 MD5sum: 1544559a59aa4e28ad8522487007f3ee Description: Python package for numerical quantum transport calculations Kwant is a Python package for numerical quantum transport calculations. It exposes the natural concepts of the theory of quantum transport (lattices, symmetries, electrodes, orbital/spin/electron-hole degrees of freedom) in a simple and transparent way. Kwant offers direct support for calculations of transport properties (conductance, noise, scattering matrix), dispersion relations, modes, wave functions, various Green’s functions, and out-of-equilibrium local quantities. Other computations involving tight-binding Hamiltonians can be implemented easily. . This package contains Kwant for Python 3. Package: python3-kwant-dbgsym Source: kwant Version: 1.4.2-1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: Christoph Groth Installed-Size: 3589 Depends: python3-kwant (= 1.4.2-1) Priority: optional Section: debug Filename: pool/main/k/kwant/python3-kwant-dbgsym_1.4.2-1_amd64.deb Size: 3295172 SHA256: 7cc3622a1b0ca4f54a193c043116e3a6c0e3b088e91d815dc5a047e43f1dc8af SHA1: 2e235c3d1bc1427d41b9010e00b2338bbaf51009 MD5sum: 21da86535763a16623975e6dc0dac9f9 Description: debug symbols for python3-kwant Build-Ids: 8b9a37a648972d48821f928cd4339c978e1d3023 92efacc7cf5590dcb13f8b6edb313f995b501cc3 9cdd067a972159e13b1b71db45a8da8ea74787fd b9aa33d1c7006ad10bf25dde0526d46439ec922e c7aa4e6586f221f8d03dadb574a8839648f065cf d4fed93d261562ff0d82eccab5114f509e3a6d8d Package: python3-kwantspectrum Source: kwantspectrum Version: 0.1.0-1 Architecture: all Maintainer: Christoph Groth Installed-Size: 89 Depends: python3-kwant (>= 1.4), python3-numpy, python3-scipy, python3:any (>= 3.5~) Homepage: https://gitlab.kwant-project.org/kwant/kwantspectrum Priority: optional Section: python Filename: pool/main/k/kwantspectrum/python3-kwantspectrum_0.1.0-1_all.deb Size: 20608 SHA256: ba0c2a186786b7ccd239edaa2304e78956cf393925cbf98ff3f7105f7ee2e472 SHA1: 0fde5b9dda08b2358e8d995e8f13547af63f1d78 MD5sum: ac5c01f4e47de9e02ca912c4cdeceeef Description: Adaptive band structure analyzer for Kwant leads Kwantspectrum is an extension to Kwant that adaptively analyzes band structures of infinite quasi-1d systems. The bandstructure is approximated to an arbitrary precision by piecewise cubic polynomials. Functionality to deal with special points, intervals, and the periodic nature of the spectrum is provided. . This package contains kwantspectrum for Python 3. Package: python3-qsymm Source: qsymm Version: 1.2.7-2 Architecture: all Maintainer: Christoph Groth Installed-Size: 336 Depends: python3-numpy (>= 1.13), python3-scipy (>= 1.1.0), python3-sympy (>= 1.1), python3-tinyarray (>= 1.2), python3:any (>= 3.4~) Homepage: https://gitlab.kwant-project.org/qt/qsymm Priority: optional Section: python Filename: pool/main/q/qsymm/python3-qsymm_1.2.7-2_all.deb Size: 68100 SHA256: 11b63895a5399c349761dc97a19afa9104cae1e7e4e1d050c4ea3abd0cb0ba72 SHA1: a3ad3d61b3d47909c0cfdb7897891af47851898d MD5sum: e65bf1d9dbf2863487157fc8b3bf2576 Description: Symmetry finder and symmetric Hamiltonian generator Qsymm is an open-source Python library that makes symmetry analysis of quantum-mechanical Hamiltonians simple. It automatically generates model Hamiltonians from symmetry constraints and finds the full symmetry group of your Hamiltonian. . This package contains Qsymm for Python 3. Package: python3-tinyarray Source: tinyarray Version: 1.2.2-1 Architecture: amd64 Maintainer: Christoph Groth Installed-Size: 142 Depends: python3 (<< 3.8), python3 (>= 3.7~), python3:any (>= 3.4~), libc6 (>= 2.4), libgcc1 (>= 1:4.0), libstdc++6 (>= 5.2) Homepage: http://kwant-project.org/tinyarray/ Priority: optional Section: python Filename: pool/main/t/tinyarray/python3-tinyarray_1.2.2-1_amd64.deb Size: 37900 SHA256: fcb6c10a698324c60a03659575a07e63f41b85d92ca79c7c38e3461ab539e966 SHA1: e555b78d5ad2b4a5ad9a539f4e682f2d5f4a1a11 MD5sum: 20f8d164c59a76da675086c60be25f89 Description: Arrays of numbers, optimized for small sizes (Python 3) Tinyarray is a numerical array module for Python. The multi-dimensional arrays it provides are best thought of as (possibly nested) tuples of numbers that, unlike Python's built-in tuples, support mathematical operations. Like tuples, tinyarrays are hashable and immutable and thus can be used as dictionary keys. The module's interface is a subset of that of NumPy and hence should be familiar to many Python programmers. Tinyarray has been heavily optimized for small arrays: For example, common operations on 1-d arrays of length 3 run 3-7 times faster than with NumPy. When storing many small arrays, memory consumption is reduced by a factor of 3. In summary, Tinyarray is a more efficient alternative to NumPy when many separate small numerical arrays are to be used. . This package installs the library for Python 3. Package: python3-tinyarray-dbgsym Source: tinyarray Version: 1.2.2-1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: Christoph Groth Installed-Size: 247 Depends: python3-tinyarray (= 1.2.2-1) Priority: optional Section: debug Filename: pool/main/t/tinyarray/python3-tinyarray-dbgsym_1.2.2-1_amd64.deb Size: 216940 SHA256: 360d5460ccb48405a1267b4b356020e51a463c572cb58b1799055f759d8db274 SHA1: 14c0b62c5c0af6cd3d6921b017256353d798c739 MD5sum: aff9d7c4d5b3d354e5d7fdb8c4d3e1c8 Description: debug symbols for python3-tinyarray Build-Ids: e999a375323bedb3446fbf24b823a45505ffe5e9 Package: python3-tkwant Source: tkwant Version: 1.0.1-1 Architecture: amd64 Maintainer: Christoph Groth Installed-Size: 1052 Depends: cython3, python3 (<< 3.8), python3 (>= 3.7~), python3-kwant (>= 1.3), python3-kwantspectrum, python3-mpi4py (>= 2.0), python3-numpy (>= 1.8.2), python3-scipy (>= 0.14), python3-sympy, python3-tinyarray (>= 1.2), python3:any (>= 3.5~), libc6 (>= 2.14) Homepage: https://gitlab.kwant-project.org/kwant/tkwant Priority: optional Section: python Filename: pool/main/t/tkwant/python3-tkwant_1.0.1-1_amd64.deb Size: 264872 SHA256: cc7a4a676955c455046a496da32a55fb111c6e848d370c76e8f01e5b66b17ab8 SHA1: f8f14282dbee79b07e676fa40b7496566ae7a353 MD5sum: 097ec54ad62f6fded02769f1d4354505 Description: Package for time-dependent quantum transport simulations Tkwant is a Python package for simulating time-dependent quantum dynamics of mesoscopic systems. It is the time-dependent generalization of the Kwant package. . This package contains tkwant for Python 3. Package: python3-tkwant-dbgsym Source: tkwant Version: 1.0.1-1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: Christoph Groth Installed-Size: 763 Depends: python3-tkwant (= 1.0.1-1) Priority: optional Section: debug Filename: pool/main/t/tkwant/python3-tkwant-dbgsym_1.0.1-1_amd64.deb Size: 698416 SHA256: 029f0742c209f236055568472dab6894949019dd3d1249e4a69db62e267c4096 SHA1: 82fbf49fc892890417f7ccc6a3de3053753462d2 MD5sum: cf06af483edb60c14e75977b7ee19239 Description: debug symbols for python3-tkwant Build-Ids: 114a9421b078981927843a436811b8a2b001a4ca 7d417acd28910d0ef43bdb39d5b4323816eb0cc3