Source code for pyscf.tools.dump_mat

#!/usr/bin/env python
# Copyright 2014-2018 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pyscf.lib.parameters import OUTPUT_DIGITS, OUTPUT_COLS
from pyscf import __config__

BASE = getattr(__config__, 'BASE', 0)

[docs] def dump_tri(stdout, c, label=None, ncol=OUTPUT_COLS, digits=OUTPUT_DIGITS, start=BASE): ''' Format print for the lower triangular part of an array Args: stdout : file object eg sys.stdout, or stdout = open('/path/to/file') or mol.stdout if mol is an object initialized from :class:`gto.Mole` c : numpy.ndarray coefficients Kwargs: label : list of strings Row labels (default is 1,2,3,4,...) ncol : int Number of columns in the format output (default 5) digits : int Number of digits of precision for floating point output (default 5) start : int The number to start to count the index (default 0) Examples: >>> import sys, numpy >>> dm = numpy.eye(3) >>> dump_tri(sys.stdout, dm) #0 #1 #2 0 1.00000 1 0.00000 1.00000 2 0.00000 0.00000 1.00000 >>> from pyscf import gto >>> mol = gto.M(atom='C 0 0 0') >>> dm = numpy.eye(mol.nao_nr()) >>> dump_tri(sys.stdout, dm, label=mol.ao_labels(), ncol=9, digits=2) #0 #1 #2 #3 #4 #5 #6 #7 #8 0 C 1s 1.00 0 C 2s 0.00 1.00 0 C 3s 0.00 0.00 1.00 0 C 2px 0.00 0.00 0.00 1.00 0 C 2py 0.00 0.00 0.00 0.00 1.00 0 C 2pz 0.00 0.00 0.00 0.00 0.00 1.00 0 C 3px 0.00 0.00 0.00 0.00 0.00 0.00 1.00 0 C 3py 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 0 C 3pz 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 ''' nc = c.shape[1] for ic in range(0, nc, ncol): dc = c[:,ic:ic+ncol] m = dc.shape[1] fmt = (' %%%d.%df'%(digits+4,digits))*m + '\n' if label is None: stdout.write(((' '*(digits+3))+'%s\n') % (' '*(digits)).join(['#%-4d'%i for i in range(start+ic,start+ic+m)])) for k, v in enumerate(dc[ic:ic+m]): fmt = (' %%%d.%df'%(digits+4,digits))*(k+1) + '\n' stdout.write(('%-5d' % (ic+k+start)) + (fmt % tuple(v[:k+1]))) for k, v in enumerate(dc[ic+m:]): stdout.write(('%-5d' % (ic+m+k+start)) + (fmt % tuple(v))) else: stdout.write(((' '*(digits+10))+'%s\n') % (' '*(digits)).join(['#%-4d'%i for i in range(start+ic,start+ic+m)])) #stdout.write(' ') #stdout.write(((' '*(digits)+'#%-5d')*m) % tuple(range(ic+start,ic+m+start)) + '\n') for k, v in enumerate(dc[ic:ic+m]): fmt = (' %%%d.%df'%(digits+4,digits))*(k+1) + '\n' stdout.write(('%12s' % label[ic+k]) + (fmt % tuple(v[:k+1]))) for k, v in enumerate(dc[ic+m:]): stdout.write(('%12s' % label[ic+m+k]) + (fmt % tuple(v)))
[docs] def dump_rec(stdout, c, label=None, label2=None, ncol=OUTPUT_COLS, digits=OUTPUT_DIGITS, start=BASE): ''' Print an array in rectangular format Args: stdout : file object eg sys.stdout, or stdout = open('/path/to/file') or mol.stdout if mol is an object initialized from :class:`gto.Mole` c : numpy.ndarray coefficients Kwargs: label : list of strings Row labels (default is 1,2,3,4,...) label2 : list of strings Col labels (default is 1,2,3,4,...) ncol : int Number of columns in the format output (default 5) digits : int Number of digits of precision for floating point output (default 5) start : int The number to start to count the index (default 0) Examples: >>> import sys, numpy >>> dm = numpy.eye(3) >>> dump_rec(sys.stdout, dm) #0 #1 #2 0 1.00000 0.00000 0.00000 1 0.00000 1.00000 0.00000 2 0.00000 0.00000 1.00000 >>> from pyscf import gto >>> mol = gto.M(atom='C 0 0 0') >>> dm = numpy.eye(mol.nao_nr()) >>> dump_rec(sys.stdout, dm, label=mol.ao_labels(), ncol=9, digits=2) #0 #1 #2 #3 #4 #5 #6 #7 #8 0 C 1s 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0 C 2s 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0 C 3s 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0 C 2px 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0 C 2py 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0 C 2pz 0.00 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0 C 3px 0.00 0.00 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0 C 3py 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 0.00 0 C 3pz 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 ''' nc = c.shape[1] if label2 is None: fmt = '#%%-%dd' % (digits+3) label2 = [fmt%i for i in range(start,nc+start)] else: fmt = '%%-%ds' % (digits+4) label2 = [fmt%i for i in label2] for ic in range(0, nc, ncol): dc = c[:,ic:ic+ncol] m = dc.shape[1] fmt = (' %%%d.%df'%(digits+4,digits))*m + '\n' if label is None: stdout.write(((' '*(digits+3))+'%s\n') % ' '.join(label2[ic:ic+m])) for k, v in enumerate(dc): stdout.write(('%-5d' % (k+start)) + (fmt % tuple(v))) else: stdout.write(((' '*(digits+10))+'%s\n') % ' '.join(label2[ic:ic+m])) for k, v in enumerate(dc): stdout.write(('%-14s' % label[k]) + (fmt % tuple(v)))
[docs] def dump_mo(mol, c, label=None, ncol=OUTPUT_COLS, digits=OUTPUT_DIGITS, start=BASE): ''' Format print for orbitals Args: stdout : file object eg sys.stdout, or stdout = open('/path/to/file') or mol.stdout if mol is an object initialized from :class:`gto.Mole` c : numpy.ndarray Orbitals, each column is an orbital Kwargs: label : list of strings Row labels (default is AO labels) Examples: >>> from pyscf import gto >>> mol = gto.M(atom='C 0 0 0') >>> mo = numpy.eye(mol.nao_nr()) >>> dump_mo(mol, mo) #0 #1 #2 #3 #4 #5 #6 #7 #8 0 C 1s 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0 C 2s 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0 C 3s 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0 C 2px 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0 C 2py 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0 C 2pz 0.00 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0 C 3px 0.00 0.00 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0 C 3py 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 0.00 0 C 3pz 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 ''' if label is None: label = mol.ao_labels() dump_rec(mol.stdout, c, label, None, ncol, digits, start)
del (BASE) if __name__ == '__main__': import sys import numpy c = numpy.random.random((16,16)) label = ['A%5d' % i for i in range(16)] dump_tri(sys.stdout, c, label, 10, 2, 1) dump_rec(sys.stdout, c, None, label, start=1)