示例#1
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 def test_4d(self):
     """Read string"""
     ffile = os.path.join(self.tdir, 'fort.4')
     fb = FortranBinary(ffile)
     rec = next(fb)
     self.assertEqual(len(rec), 3)
     fb.close()
示例#2
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 def test_4b(self):
     """Read string"""
     ffile = os.path.join(self.tdir, 'fort.4')
     fb = FortranBinary(ffile)
     rec = fb.find(b'ABC')
     self.assertIn(b'ABC', rec)
     fb.close()
示例#3
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 def test_4c(self):
     """Read string"""
     ffile = os.path.join(self.tdir, 'fort.4')
     fb = FortranBinary(ffile)
     with self.assertRaises(ValueError):
         rec = fb.find(1.0)
     fb.close()
示例#4
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 def test_4c(self):
     """Read string"""
     ffile = os.path.join(self.tdir, 'fort.4')
     fb = FortranBinary(ffile)
     with self.assertRaises(ValueError):
         rec = fb.find(1.0)
     fb.close()
示例#5
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    def test_1(self):
        """Read int, float

          integer, parameter :: n = 3
          double precision x(n)
          x = (/ 1.0D0, 2.0D0, 3.0D0 /)
          open(1, file='fort.1', status='new', form='unformatted')
          write(1) n
          write(1) x
          close(1)
          end
        """
        ffile = os.path.join(self.tdir, 'fort.1')
        fb = FortranBinary(ffile)
        # first record is int 3
        next(fb)
        n = fb.readbuf(1, 'i')[0]
        self.assertEqual(n, 3)

        # first record is float 1. 2. 3.
        next(fb)
        xref = (1., 2., 3.)
        x = fb.readbuf(n, 'd')
        np.testing.assert_allclose(x, xref)
        fb.close()
示例#6
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 def test_4d(self):
     """Read string"""
     ffile = os.path.join(self.tdir, 'fort.4')
     fb = FortranBinary(ffile)
     rec = next(fb)
     self.assertEqual(len(rec), 3)
     fb.close()
示例#7
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 def test_4b(self):
     """Read string"""
     ffile = os.path.join(self.tdir, 'fort.4')
     fb = FortranBinary(ffile)
     rec = fb.find(b'ABC')
     self.assertIn(b'ABC', rec)
     fb.close()
示例#8
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def read(*args, **kwargs):
    """Read response vector given property"""
    if "freqs" in kwargs:
        # linear response/one frequency
        bfreqs = kwargs.get("freqs")
    else:
        # non-linear response/two frequencies
        bfreqs = kwargs.get("bfreqs", (0.0, ))
    cfreqs = kwargs.get("cfreqs", (0.0, ))
    propfile = kwargs.get("propfile", "RSPVEC")
    lr_vecs = kwargs.get("lr_vecs", False)

    rspvec = FortranBinary(propfile)
    vecs = {}

    for rec in rspvec:
        for lab in args:
            try:
                lab1 = bytes(lab.ljust(16), "utf-8")
            except TypeError:
                lab1 = bytes(lab.ljust(16))
            # alternative label with permuted labels
            lab2 = lab1[8:] + lab1[:8]
            if lab1 in rec or lab2 in rec:
                if lab1 in rec:
                    rec.read(16, "c")
                    bfreq, cfreq = rec.read(2, "d")
                elif lab2 in rec:
                    rec.read(16, "c")
                    cfreq, bfreq = rec.read(2, "d")
                if bfreq in bfreqs and cfreq in cfreqs:
                    _rec = next(rspvec)
                    kzyvar = len(_rec) // 8
                    buffer_ = rspvec.readbuf(kzyvar, "d")
                    vecs[(lab, bfreq, cfreq)] = \
                        np.array(buffer_).view(full.matrix)
                    vecs[(lab1, bfreq, bfreq)] = vecs[(lab, bfreq, cfreq)]
                    vecs[(lab2, cfreq, bfreq)] = vecs[(lab, bfreq, cfreq)]

    # now check that all required vectors are saved
    for _l in args:
        for b in bfreqs:
            for c in cfreqs:
                if (_l, b, c) not in vecs:
                    raise RspVecError(
                        "Response vector N(%s,%g,%g) not found on file %s" %
                        (_l, b, c, propfile))

    # complement dict with lr pointers
    if cfreqs == (0.0, ):
        vecs.update({(_l, b): vecs[(_l, b, 0.0)]
                     for _l in args for b in bfreqs})
        if bfreqs == (0.0, ):
            vecs.update({_l: vecs[(_l, 0.0, 0.0)] for _l in args})
    if lr_vecs:
        keys = ((a, w) for a in args for w in bfreqs)
        return {k: vecs[k] for k in keys}
    else:
        return vecs
示例#9
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    def __init__(self, name="SIRIFC"):
        self.name = name
        self.file = FortranBinary(name)
        self._cmo = None
        self._dv = None
        self._pv = None
        self._fock = None
        self._fc = None
        self._fv = None
        self._orbdiag = None

        if not self.file.find(self.ifclabel):
            raise RuntimeError("Label %s not found on %s" %
                               (self.ifclabel, name))

        rec = next(self.file)

        # Integer size from first record, 4 floats, 5 ints
        #    1) POTNUC,EMY,EACTIV,EMCSCF,ISTATE,ISPIN,NACTEL,LSYM,MS2

        try:
            self.INT = get_intcode(len(rec), 4, 5)
        except KeyError:  # pragma no cover
            # Allow Dalton 2013 version
            self.INT = get_intcode(len(rec), 4, 4)

        self.FLOAT = "d"

        self.potnuc, self.emy, self.eactive, self.emcscf = self.file.readbuf(
            4, self.FLOAT)
        self.istate, self.ispin, self.nactel, self.lsym = \
            self.file.readbuf(4, self.INT)

        self.file.next()
        self.nisht, self.nasht, self.nocct, self.norbt, self.nbast,\
            self.nconf,  self.nwopt, self.nwoph, self.ncdets,\
            self.ncmot, self.nnashx, self.nnashy, self.nnorbt,\
            self.n2orbt, self.nsym = \
            self.file.readbuf(15, self.INT)

        self.muld2h = numpy.array(self.file.readbuf(64, self.INT)).reshape(
            (8, 8))

        self.nrhf = numpy.array(self.file.readbuf(8, self.INT))
        self.nfro = numpy.array(self.file.readbuf(8, self.INT))
        self.nish = numpy.array(self.file.readbuf(8, self.INT))
        self.nash = numpy.array(self.file.readbuf(8, self.INT))
        self.norb = numpy.array(self.file.readbuf(8, self.INT))
        self.nbas = numpy.array(self.file.readbuf(8, self.INT))

        self.nelmn1, self.nelmx1, self.nelmn3, self.nelmx3, self.mctype = \
            self.file.readbuf(5, self.INT)

        self.nas1 = numpy.array(self.file.readbuf(8, self.INT))
        self.nas2 = numpy.array(self.file.readbuf(8, self.INT))
        self.nas3 = numpy.array(self.file.readbuf(8, self.INT))

        self.file.close()
        return
示例#10
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 def test_4d_warn(self):
     """Read string"""
     ffile = os.path.join(self.tdir, 'fort.4')
     fb = FortranBinary(ffile)
     rec = next(fb)
     with pytest.deprecated_call():
         l = fb.reclen
     fb.close()
示例#11
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 def test_4d_warn(self):
     """Read string"""
     ffile = os.path.join(self.tdir, 'fort.4')
     fb = FortranBinary(ffile)
     rec = next(fb)
     with pytest.deprecated_call():
         l = fb.reclen
     fb.close()
示例#12
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文件: one.py 项目: vahtras/daltools
def readisordk(filename="AOONEINT"):
    """Read data under label ISORDK in AOONEINT"""

    header = readhead(filename)
    INT = header["int_fmt"]
    FLOAT = header["float_fmt"]

    aooneint = FortranBinary(filename)
    aooneint.find("ISORDK")
    next(aooneint)
    next(aooneint)
    sizeofi = struct.calcsize(INT)
    sizeofd = struct.calcsize(FLOAT)
    mxcent_ = (len(aooneint.data) - sizeofi) // (4 * sizeofd)
    chrn_ = aooneint.readbuf(mxcent_, FLOAT)
    nucdep = aooneint.readbuf(1, INT)[0]
    cooo_ = aooneint.readbuf(3 * mxcent_, FLOAT)
    isordk_ = {
        # "table":table1,
        "chrn": chrn_,
        "nucdep": nucdep,
        "cooo": cooo_,
    }
    aooneint.close()
    return isordk_
示例#13
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    def test_4(self):
        """Read string

        character*3 x
        x = 'ABC'
        open(4, file='fort.4', status='new', form='unformatted')
        write(4) x
        close(4)
        end
        """
        ffile = os.path.join(self.tdir, 'fort.4')
        fb = FortranBinary(ffile)
        rec = fb.find('ABC')
        self.assertIn(b'ABC', rec)
示例#14
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def list_buffers(filename="AOTWOINT", label="BASTWOEL"):
    """ Return integral buffers in AOTWOINT"""
    _aofile = FB(filename)
    _aofile.find(label)

    for rec in _aofile:
        lbuf = (len(rec) - 4) // 12

        buf = np.array(rec.read(lbuf, 'd'))
        ibuf = np.array(rec.read(4 * lbuf, 'B')).reshape(lbuf, 4)
        length = rec.read(1, 'i')[0]

        if length < 0: return
        yield buf[:length], ibuf[:length]
示例#15
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def info(filename="AOTWOINT"):
    """Extract info block BASINFO on AOTWOINT"""
    _aotwoint = FB(filename)
    _aotwoint.find("BASINFO")
    rec = next(_aotwoint)
    fileinfo = rec.read(12, 'i')
    retinfo = {
        "nsym": fileinfo[0],
        "nbas": fileinfo[1:9],
        "lbuf": fileinfo[9],
        "nibuf": fileinfo[10],
        "nbits": fileinfo[11]
    }
    return retinfo
示例#16
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def list_buffers(filename="AOTWOINT", label="BASTWOEL"):
    """ Return integral buffers in AOTWOINT"""
    _aofile = FB(filename)
    _aofile.find(label)

    for rec in _aofile:
        lbuf = (len(rec)-4) // 12

        buf = np.array(rec.read(lbuf,'d'))
        ibuf = np.array(rec.read(4*lbuf,'B')).reshape(lbuf, 4)
        length = rec.read(1,'i')[0]

        if length < 0: return
        yield buf[:length], ibuf[:length]
示例#17
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    def test_4(self):
        """Read string

        character*3 x
        x = 'ABC'
        open(4, file='fort.4', status='new', form='unformatted')
        write(4) x
        close(4)
        end
        """
        ffile = os.path.join(self.tdir, 'fort.4')
        fb = FortranBinary(ffile)
        rec = fb.find('ABC')
        self.assertIn(b'ABC', rec)
示例#18
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def info(filename="AOTWOINT"):
    """Extract info block BASINFO on AOTWOINT"""
    _aotwoint = FB(filename)
    _aotwoint.find("BASINFO")
    rec = next(_aotwoint)
    fileinfo = rec.read(12,'i')
    retinfo = {
        "nsym":fileinfo[0],
        "nbas":fileinfo[1:9],
        "lbuf":fileinfo[9],
        "nibuf":fileinfo[10],
        "nbits":fileinfo[11]
        }
    return retinfo
示例#19
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def readall(property_label, propfile="RSPVEC"):
    """Read response all vectors given property"""
    import numpy

    _rspvec = FortranBinary(propfile)
    found = []
    while _rspvec.find(property_label) is not None:
        _rspvec.rec.read(16, "c")
        vfreq = _rspvec.rec.read(1, "d")[0]
        _rec = next(_rspvec)
        kzyvar = len(_rec) // 8
        buffer_ = _rspvec.readbuf(kzyvar, "d")
        mat = numpy.array(buffer_).view(full.matrix)
        found.append((mat, vfreq))
    return found
示例#20
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文件: prop.py 项目: vahtras/daltools
def read(*args, **kwargs):
    """Read property integral"""
    propfile = kwargs.get("filename")
    if not propfile:
        tmpdir = pathlib.Path(kwargs.get("tmpdir", "/tmp"))
        propfile = tmpdir / "AOPROPER"

    unpack = kwargs.get("unpack", True)
    AOPROPER = FortranBinary(propfile)
    mat = {}
    for rec in AOPROPER:
        buf = rec.read(32, "c")
        # stars, data, symtype, label = (
        #      buf[:8], buf[8:16], buf[16:24], buf[24:32]
        #      )
        b"".join(buf[:8])
        symtype = b"".join(buf[16:24])
        blabel = b"".join(buf[24:32]).strip()

        bargs = (s.encode() for s in args)
        if blabel.strip() in bargs:
            label = blabel.decode()
            rec = next(AOPROPER)
            buffer_ = rec.read(len(rec) // 8, "d")
            if symtype == b"SQUARE  ":
                n = int(round(math.sqrt(len(buffer_))))
                mat[label] = full.init(buffer_).reshape((n, n))
            else:
                mat[label] = np.array(buffer_).view(full.triangular)
                mat[label].anti = symtype == b"ANTISYMM"
    if unpack:
        return tuple([mat[lab].unpack() for lab in args])
    else:
        return tuple([mat[lab] for lab in args])
示例#21
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 def test_1_cm(self):
     """Case 1 with context manager"""
     ffile = os.path.join(self.tdir, 'fort.1')
     with FortranBinary(ffile) as fb:
         n = next(fb).read(1, 'i')[0]
         x = next(fb).read(n, 'd')
     np.testing.assert_allclose(x, (1., 2., 3.))
示例#22
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 def test_2_cm(self):
     """
     Case 2 with context manager
     """
     ffile = os.path.join(self.tdir, 'fort.2')
     with FortranBinary(ffile) as fb:
         rec = fb.find(b'LABEL')
     self.assertEqual(rec.data, b'LABEL')
示例#23
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 def ci(self):
     if self._ci is None:
         with FortranBinary(self.name) as fb:
             fb.find("STARTVEC")
             ci_record = next(fb)
             self._ci = numpy.array(ci_record.read(
                 len(ci_record) // 8, "d"))
     return self._ci
示例#24
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 def test_2_str(self):
     """
     Case 2 with str method
     """
     ffile = os.path.join(self.tdir, 'fort.2')
     with FortranBinary(ffile) as fb:
         rec = fb.find(b'LABEL')
     self.assertEqual(rec.data.decode('utf-8'), 'LABEL')
示例#25
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    def test_3b(self):
        """Read vecs

          integer, parameter :: nx = 3, ny=3
          double precision x(nx), y(ny)
          x = (/ 1.0D0, 2.0D0, 3.0D0 /)
          y = (/ 5.0D0, 6.0D0, 7.0D0 /)
          open(3, file='fort.3', status='new', form='unformatted')
          write(3) nx, ny
          write(3) x
          write(3) y
          close(3)
          end

        """
        ffile = os.path.join(self.tdir, 'fort.3')
        fb = FortranBinary(ffile)
        # first record is int 3
        fb.next()
        x = []
        for rec in fb:
            x += list(fb.readbuf(3, 'd'))
        xref = (1., 2., 3., 5., 6., 7.)
        np.testing.assert_allclose(x, xref)
        fb.close()
示例#26
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    def test_2(self):
        """Find and read label

          character*5 lab
          integer n
          lab = 'LABEL'
          n = 0
          open(1, file='fort.2', status='new', form='unformatted')
          write(1) n
          write(1) lab
          close(1)
          end
        """
        ffile = os.path.join(self.tdir, 'fort.2')
        fb = FortranBinary(ffile)
        rec  = fb.find(b'LABEL')

        self.assertEqual(rec.data, b'LABEL')
        fb.close()
示例#27
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 def orbdiag(self):
     """Get orbital Hessian diagonal"""
     if self._orbdiag is None:
         with FortranBinary(self.name) as fb:
             if fb.find("ORBDIAG"):
                 rec = next(fb)
                 self._orbdiag = rec.read(self.nwopt, self.FLOAT)
             else:
                 raise LabelNotFound("ORBDIAG not found")
     return numpy.array(self._orbdiag)
示例#28
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    def test_2b(self):
        """Handle label not found

          character*5 lab
          integer n
          lab = 'LABEL'
          n = 0
          open(1, file='fort.2', status='new', form='unformatted')
          write(1) n
          write(1) lab
          close(1)
          end
        """
        ffile = os.path.join(self.tdir, 'fort.2')
        fb = FortranBinary(ffile)
        rec = fb.find(b'NOLABEL')
        fb.close()

        self.assertEqual(rec, None)
示例#29
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    def test_2(self):
        """Find and read label

          character*5 lab
          integer n
          lab = 'LABEL'
          n = 0
          open(1, file='fort.2', status='new', form='unformatted')
          write(1) n
          write(1) lab
          close(1)
          end
        """
        ffile = os.path.join(self.tdir, 'fort.2')
        fb = FortranBinary(ffile)
        rec = fb.find(b'LABEL')

        self.assertEqual(rec.data, b'LABEL')
        fb.close()
示例#30
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 def test_3b_cm(self):
     """Case 3b with context manager"""
     ffile = os.path.join(self.tdir, 'fort.3')
     with FortranBinary(ffile) as fb:
         fb.next()
         x = []
         for rec in fb:
             x += list(fb.readbuf(3, 'd'))
     xref = (1., 2., 3., 5., 6., 7.)
     np.testing.assert_allclose(x, xref)
示例#31
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    def test_2b(self):
        """Handle label not found

          character*5 lab
          integer n
          lab = 'LABEL'
          n = 0
          open(1, file='fort.2', status='new', form='unformatted')
          write(1) n
          write(1) lab
          close(1)
          end
        """
        ffile = os.path.join(self.tdir, 'fort.2')
        fb = FortranBinary(ffile)
        rec  = fb.find(b'NOLABEL')
        fb.close()

        self.assertEqual(rec, None)
示例#32
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 def __init__(self, name="SIRIUS.RST"):
     self.name = name
     with FortranBinary(name) as sirrst:
         sirrst.find(BasInfo.label)
         next(sirrst)
         self.nsym, = sirrst.readbuf(1, "i")
         self.nbas = numpy.array(sirrst.readbuf(8, "i"))[: self.nsym]
         self.norb = numpy.array(sirrst.readbuf(8, "i"))[: self.nsym]
         self.nrhf = numpy.array(sirrst.readbuf(8, "i"))[: self.nsym]
         self.ioprhf, = sirrst.readbuf(1, "i")
示例#33
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文件: one.py 项目: vahtras/daltools
def readhead(filename="AOONEINT"):
    """Read data in header of AOONEINT"""
    aooneint = FortranBinary(filename)
    rec = next(aooneint)
    if len(aooneint.data) == 144:
        #
        # Newer versions: title in own record
        #
        title = aooneint.data.decode()
        #
        # Next record contains MAXREP...
        #
        rec = next(aooneint)
    else:
        #
        # Older versions: not supported
        #
        raise RuntimeError
    #
    # Buffer should now contains MAXREP data
    #

    FLOAT = "d"
    INT = _get_integer_format(rec)

    nsym = rec.read(1, INT)[0]
    naos = rec.read(nsym, INT)
    potnuc = rec.read(1, FLOAT)[0]
    import collections

    unlabeled = collections.OrderedDict(
        [
            ("ttitle", title),
            ("nsym", nsym),
            ("naos", naos),
            ("potnuc", potnuc),
            ("int_fmt", INT),
            ("float_fmt", FLOAT),
        ]
    )
    aooneint.close()
    return unlabeled
示例#34
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 def dv(self):
     """Get active density matrix"""
     if self._dv is None:
         with FortranBinary(self.name) as fb:
             fb.find(self.ifclabel)
             for _ in range(5):
                 fb.next()
             # mmashx = max(self.nnashx, 4)
             dbl = fb.readbuf(self.nnashx, self.FLOAT)
         self._dv = full.triangular.init(dbl)
     return self._dv
示例#35
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文件: one.py 项目: robertodr/daltools
def read(label="OVERLAP", filename="AOONEINT"):
    """Read integral for label"""
    lbuf = 600
    #
    # Initialize
    #
    unlabeled = readhead(filename)
    nsym = unlabeled["nsym"]
    nbas = unlabeled["naos"]
    INT = unlabeled["int_fmt"]
    FLOAT = unlabeled["float_fmt"]
    nnbast = 0
    for nbasi in nbas:
        nnbast += nbasi * (nbasi + 1) // 2
    s = full.matrix((nnbast, ))
    #
    # Open file, locate label
    #
    aooneint = FortranBinary(filename)
    aooneint.find(label)
    #
    # Loop over records
    #

    for rec in aooneint:
        buf = rec.read(lbuf, FLOAT)
        ibuf = rec.read(lbuf, INT)
        length, = rec.read(1, INT)
        if length < 0:
            break
        for i, b in zip(ibuf[:length], buf[:length]):
            s[i - 1] = b

    _S = blocked.triangular(nbas)
    off = 0
    for isym in range(nsym):
        nbasi = nbas[isym] * (nbas[isym] + 1) // 2
        _S.subblock[isym] = np.array(s[off:off + nbasi]).view(full.triangular)
        off += nbasi
    # aooneint.close()
    return _S
示例#36
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    def test_3a(self):
        """Integer*8 dimensions

          integer*8, parameter :: nx = 3, ny=3
          double precision x(nx), y(ny)
          x = (/ 1.0D0, 2.0D0, 3.0D0 /)
          y = (/ 5.0D0, 6.0D0, 7.0D0 /)
          open(3, file='fort.3', status='new', form='unformatted')
          write(3) nx, ny
          write(3) x
          write(3) y
          close(3)
          end

        """
        ffile = os.path.join(self.tdir, 'fort.3')
        fb = FortranBinary(ffile)
        # first record is int 3, 3
        nx, ny = fb.next().read('q', 2)
        np.testing.assert_allclose((nx, ny), (3, 3))
        fb.close()
示例#37
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    def test_3a(self):
        """Integer*8 dimensions

          integer*8, parameter :: nx = 3, ny=3
          double precision x(nx), y(ny)
          x = (/ 1.0D0, 2.0D0, 3.0D0 /)
          y = (/ 5.0D0, 6.0D0, 7.0D0 /)
          open(3, file='fort.3', status='new', form='unformatted')
          write(3) nx, ny
          write(3) x
          write(3) y
          close(3)
          end

        """
        ffile = os.path.join(self.tdir, 'fort.3')
        fb = FortranBinary(ffile)
        # first record is int 3, 3
        nx, ny = fb.next().read('q', 2)
        np.testing.assert_allclose((nx, ny), (3, 3))
        fb.close()
示例#38
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    def test_3b(self):
        """Read vecs

          integer, parameter :: nx = 3, ny=3
          double precision x(nx), y(ny)
          x = (/ 1.0D0, 2.0D0, 3.0D0 /)
          y = (/ 5.0D0, 6.0D0, 7.0D0 /)
          open(3, file='fort.3', status='new', form='unformatted')
          write(3) nx, ny
          write(3) x
          write(3) y
          close(3)
          end

        """
        ffile = os.path.join(self.tdir, 'fort.3')
        fb = FortranBinary(ffile)
        # first record is int 3
        fb.next()
        x=[]
        for rec in fb:
            x += list(fb.readbuf(3, 'd'))
        xref = (1., 2., 3.,  5., 6., 7.)
        np.testing.assert_allclose(x, xref)
        fb.close()
示例#39
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    def test_1(self):
        """Read int, float

          integer, parameter :: n = 3
          double precision x(n)
          x = (/ 1.0D0, 2.0D0, 3.0D0 /)
          open(1, file='fort.1', status='new', form='unformatted')
          write(1) n
          write(1) x
          close(1)
          end
        """
        ffile = os.path.join(self.tdir, 'fort.1')
        fb = FortranBinary(ffile)
        # first record is int 3
        next(fb)
        n = fb.readbuf(1, 'i')[0]
        self.assertEqual(n, 3)

        # first record is float 1. 2. 3.
        next(fb)
        xref = (1., 2., 3.)
        x = fb.readbuf(n, 'd')
        np.testing.assert_allclose(x, xref)
        fb.close()
示例#40
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 def cmo(self):
     if self._cmo is None:
         with FortranBinary(self.name) as fb:
             fb.find("NEWORB")
             cmo_rec = next(fb)
             nbas = self.basinfo.nbas
             norb = self.basinfo.norb
             assert len(cmo_rec) // 8 == numpy.dot(nbas, norb)
             cmo = blocked.BlockDiagonalMatrix(self.basinfo.nbas,
                                               self.basinfo.norb)
             for nbasi, norbi, cmoi in zip(nbas, norb, cmo.subblock):
                 cmoi[:, :] = (numpy.array(cmo_rec.read(
                     nbasi * norbi, "d")).reshape(
                         (nbasi, norbi), order="F").view(full.matrix))
             self._cmo = cmo
     return self._cmo
示例#41
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 def pv(self):
     """Get two-electron density"""
     if self._pv is None:
         with FortranBinary(self.name) as fb:
             fb.find(self.ifclabel)
             for i in range(7):
                 fb.next()
             m2ashy = max(self.nnashx**2, 4)
             dbl = fb.readbuf(m2ashy, self.FLOAT)
         self._pv = full.matrix((self.nnashx, self.nnashx))
         n = 0
         for i in range(self.nnashx):
             for j in range(self.nnashx):
                 self._pv[j, i] = dbl[n]
                 n += 1
         assert n == self.nnashx**2
     return self._pv
示例#42
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 def cmo(self):
     """Read MO coefficients"""
     if self._cmo is None:
         with FortranBinary(self.name) as fb:
             fb.find(self.ifclabel)
             for _ in range(3):
                 fb.next()
             ncmot4 = max(self.ncmot, 4)
             dbl = fb.readbuf(ncmot4, self.FLOAT)
         n = 0
         self._cmo = blocked.BlockDiagonalMatrix(self.nbas, self.norb)
         for isym in range(8):
             for mo in range(self.norb[isym]):
                 for ao in range(self.nbas[isym]):
                     self._cmo.subblock[isym][ao, mo] = dbl[n]
                     n += 1
         assert n == self.ncmot
     return self._cmo
示例#43
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 def test_count_records_and_lengths(self):
     ffile = os.path.join(self.tdir, 'fort.3')
     fb = FortranBinary(ffile)
     self.assertTupleEqual(fb.record_byte_lengths(), (16, 24, 24))
     fb.close()