Пример #1
0
def inbox_by_context_name():
    import sys
    sys.error("Don't do this")
    for t in Thing.objects.all():
        if t.context.name.lower().find(INBOX_CONTEXT_STR) >= 0:
            t.status = t.STATE_INBOX
            t.save()
def ippft( f , niter=6 , eps=1e-8 ):
    ##  Check whether the input Pseudo Polar Grid is a 2D array
    ##  and it is a square matrix
    if f.ndim != 2:
        sys.error('ERROR: input for inversePseudoPolarFT is not a 2D array!') 
    if f.shape[0] != f.shape[1]:
        sys.error('WARNING: input for inversePseudoPolarFT is not a square matrix')

    
    ##  Convert input Pseudo Polar Grid to myComplex format
    f = f.astype( myComplex )

    ##  Get size of the output object
    n = int( 0.5 * f.shape[0] )

    ##  Create preconditioning matrix to decrease the
    ##  conditioning number of the Pseudo Polar Operator 
    M = np.array( np.sqrt( abs( np.arange(-n,n)/myFloat(n) ) ) )
    M[n] = np.sqrt( 1.0/myFloat(4*n) )
    M = np.ones( ( 2*n , 1 ) ) * M;
    M[:,:] = M[:,:]**2;

    ##  Initialization of the preconditioned conjugate method 
    xk = ppft_adj( np.multiply( M , f ) )
    pk = xk - ppft_adj( M * ppft( xk ) )
    rk = np.empty( ( n ,  n ) , dtype=myComplex )
    rk[:,:] = pk[:,:]
    f[:,:] = 0  
    ppAdj = np.zeros( ( n , n ) , dtype=myComplex )

    ##  Print setu-up parameters for the IPPFT 
    print('  PCG-IPPFT: stopping threshold: ' , eps )
    print('  PCG-IPPFT: max number of CG-iterations: ' , niter )
    
    ##  Start conjugate gradient iterations
    it = 0
    while it < niter:
        err = np.linalg.norm( pk )
        print('    Iter = ' , it , '   cost function = ' , err ) 
        if err > eps:
            f[:,:] = ppft( pk )
            f[:,:] = np.multiply( M , f )
            ppAdj[:,:] = ppft_adj( f )
            a0 = np.sum( np.abs(rk) * np.abs(rk) )
            a1 = np.sum( np.conjugate(pk) * ppAdj )
            a = a0 / myComplex( a1 )
            xk[:,:] += a*pk 
            rk[:,:] -= a * ppAdj 
            bb = np.sum( np.abs(rk) * np.abs(rk) )
            b = bb/a0
            pk[:,:] = rk + b * pk
        else: break
        it += 1

    ##  Final informative prints
    print('  PCG-IPPFT: number of CG-iterations used: ' , it )
    print('  PCG-IPPFT: cost function: ' , err )
    print('  .... PCG for inverse PPFT done!')  

    return xk
def ppft_adj( f ):
    if f.ndim != 2:
        sys.error('ERROR: input for adjointPseudoPolarFT is not a 2D array!')
    nx,ny = f.shape
    if nx != ny or nx % 2:
        n = int( np.ceil( max(nx,ny)/2. ) * 2 )
    else: n = nx
    n = int( n/2 )
    f_out = np.zeros( ( n , n ), dtype=myComplex )
    f_aux = np.zeros( ( 2*n , n ) , dtype=myComplex )

    ##  Vertical hourglass 
    f_aux[:,:] = np.transpose( f[:n,:] )
    for i in range( -n , n ):
        f_aux[i+n,:] = frft_ctr( f_aux[i+n,:] , i/myFloat( n ) )
    f_aux[:,:] = np.roll( f_aux , n , axis=0 )
    f_aux[:,:] = 2 * n * scipy.fftpack.ifft( f_aux , 2*n , axis=0 , overwrite_x=True )
    f_aux[:,:] = np.fft.fftshift( f_aux , axes=(0,) )
    f_out[:,:] = f_aux[n/2:3*n/2,:]

    ##  Horizontal hourglass
    f_aux = f_aux.reshape( n , 2*n )  
    f_aux[:,:] = f[n:,:]
    for i in range( -n , n ):
        f_aux[:,i+n] = frft_ctr( f_aux[:,i+n] , i/myFloat( n ) )
    f_aux[:,:] = np.roll( f_aux , n , axis=1 )
    f_aux[:,:] = scipy.fftpack.fft( f_aux , 2*n , axis=1 , overwrite_x=True )
    f_aux[:,:] = scipy.fftpack.fftshift( f_aux , axes=(1,) )

    f_out[:,:] = 1/(n*np.sqrt(2)) * ( f_out[:,:] + f_aux[:,n/2:3*n/2] ) 

    return f_out
Пример #4
0
def readGenes (fname): 
   """
   Take a file name that is bed-like (needs at least 3 columns) - will conserve strand and name if they exist
   Name will be the dictionary key for the output coverages
   """
   genes = {}
   i = 1
   with open(fname) as fn: 
      for line in fn: 
         if line.startswith('#'): 
            continue
         try: 
            chrom,start,end,name,score,strand = line.strip().split('\t')[:6] 
         except: 
            try: 
               a = line.strip().split('\t')
               length = len(a) 
               ext = 6-length
               a.extend(['.'] * ext)
               chrom, start, end, name, score, strand = a
            except: 
               sys.error(fname, 'Not a valid bed')
         if name == '.': 
            name = 'peak'+str(i)
         else: 
            name = os.path.basename(name) #macs puts the full path in this name field, if it hasn't been cleaned up yet this will
         if args.m:  
            start = (int(start)+int(end)) / 2
            end = int(start +1 )
         iv = HTSeq.GenomicInterval(chrom, start, end, strand)   
         genes[str(name)] = iv
         i += 1
   return(genes) 
Пример #5
0
    def close(self, exit = False):
        """ close finishes socket sessions. Best used after each run. exit=True, shuts down labview; Not recommended"""
        

        # close the remote channel through labview
        try:
            self.tSock.sendto('0005,0010,r', (self.host, self.tPort))
        except:
            raise sys.error("Could not close remote channel. Socket connection broken.")

        if exit: 
            try:
                self.tSock.sendto('0005,0010,x', (self.host, self.tPort))
            except:
                raise sys.error("Could not exit LabVIEW. Socket connection broken.")
          
        
        #end socket sessions
        self.rSock.shutdown(1)
        self.tSock.shutdown(1)
        
        #close sockets
        
        self.rSock.close()
        self.tSock.close()
        
        
            
Пример #6
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    def get(self, options, url):
        data = get_http_data(url)
        match = re.search("liveStationsRedundancy = ({.*});</script>", data)
        parse = urlparse(url)
        station = parse.path[1:]
        streams = None
        if match:
            data = json.loads(match.group(1))
            for i in data["stations"]:
                if station == i["name"].lower().replace(" ", ""):
                    streams = i["streams"]
                    break
        else:
            log.error("Can't find any streams.")
            sys.exit(2)
        if streams:
            if options.hls:
                try:
                    m3u8_url = streams["hls"]
                    base_url = m3u8_url.rsplit("/", 1)[0]
                    download_hls(options, m3u8_url, base_url)
                except KeyError:
                    log.error("Can't find any streams.")
                    sys.error(2)
            else:
                try:
                    rtmp = streams["rtmp"]
                    download_rtmp(options, rtmp)
                except KeyError:
                    mp3 = streams["mp3"]
                    download_http(options, mp3)

        else:
            log.error("Can't find any streams.")
            sys.exit(2)
Пример #7
0
def plot_volumes(volume_files):
    """
    Use fslview to visualize image volume data.

    Inputs
    ------
    volume_files : list of strings
        names of image volume files

    Examples
    --------
    >>> import os
    >>> from mindboggle.utils.plots import plot_volumes
    >>> path = os.environ['MINDBOGGLE_DATA']
    >>> volume_file1 = os.path.join(path, 'arno', 'mri', 't1weighted.nii.gz')
    >>> volume_file2 = os.path.join(path, 'arno', 'mri', 't1weighted_brain.nii.gz')
    >>> volume_files = [volume_file1, volume_file2]
    >>> plot_volumes(volume_files)

    """
    from mindboggle.utils.utils import execute

    if isinstance(volume_files, str):
        volume_files = [volume_files]
    elif not isinstance(volume_files, list):
        import sys
        sys.error('plot_volumes() requires volume_files to be a list or string.')

    cmd = ["fslview"]
    cmd.extend(volume_files)
    cmd.extend('&')
    execute(cmd, 'os')
Пример #8
0
def main(args):
    lvl = _levels[max(0, min(args.verbose, len(_levels)-1))]
    logging.basicConfig(level=lvl)

    rundir = getrundir(user=args.user)

    info = '%s/procserv-%s/info'%(rundir, args.proc)
    try:
        with open(info) as F:
            for L in map(str.strip, F):
                if not L.startswith('tcp:'):
                    continue

                _tcp, iface, port = L.split(':', 2)

                args = [telnet, iface, port]+args.extra
                _log.debug('exec: %s', ' '.join(args))

                os.execv(telnet, args)
                sys.exit(1) # never reached

            sys.error('%s has no tcp control port')
    except OSError as e:
        if e.errno==errno.ENOENT:
            _log.error('%s is not an active %s procServ', args.name, 'user' if args.user else 'system')
        else:
            _log.exception("Can't open %s"%info)

    sys.exit(1)
Пример #9
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def p_lAsigna(p):
	'''lAsigna : LB exp C exp RB PC'''
	global DT
	if(not DT):
		print "Dimension error"
		sys.error(0)
	else:
		DT = False
Пример #10
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def readQ(filename):
    items, timesteps, c = read(filename)
    if not 'q' in items:
        sys.error('Error: q is not column in the lammps trajectory %s' %
                  filename)

    index = items.index('q')
    cout = c[:, :, index]
    return cout
Пример #11
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def p_idList(p):
    '''idList : ID'''
    variables_declaradas(p[1])
    dimention = dimension(p[1])
    if dimension(p[1]) == -1:
        print "Error en cuanto la dimension"
        sys.error(0)
    avail.OPila_push(dir_var(p[1]))
    avail.OPila_push(dimention)
def get_filepath(dirpath, filename):
    if(is_valid_dir(dirpath)):
        filepath = "%s/%s" %(dirpath, filename)
        if(is_valid_file(filepath)):
            return filepath
        else:
            sys.error("File not in directory")
    else:
        sys.error("Invalid path to file")
Пример #13
0
def p_idList(p):
	'''idList : ID'''
	variables_declaradas(p[1])
	dimention = dimension(p[1])
	if dimension(p[1]) == -1:
		print "Error en cuanto la dimension"
		sys.error(0)
	avail.OPila_push(dir_var(p[1]))
	avail.OPila_push(dimention)
Пример #14
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 def updatePlatform(self, platform):
     self.platform = platform
     self.printVerbose("get cfg for platform: " + self.platform)
     if self.platform in list(self.mirrorCfg.keys()):
         self.platformCfg = self.mirrorCfg[self.platform]
     else:
         pError("Config: platform " + self.platform +
                " not found in cfg file " + self.cfgFile)
         sys.error(2)
Пример #15
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def get_filepath(dirpath, filename):
    if (is_valid_dir(dirpath)):
        filepath = "%s/%s" % (dirpath, filename)
        if (is_valid_file(filepath)):
            return filepath
        else:
            sys.error("File not in directory")
    else:
        sys.error("Invalid path to file")
Пример #16
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def compil():
    try:
        # cd into the biuld directory
        os.chdir('build')

        # run make and make install
        os.system('make && make install')
    except:
        sys.error('build directory does not exist. You should \
                    run ./setup.py -e configure first.')
Пример #17
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def query_depth_ontology(net, node, root='cl:0000000'):
    depth = 0
    while node != root:
        if len(net[node]) == 0:
            print(node)
        node = sorted(list(net[node].keys()))[0]
        depth += 1
        if depth > 100:
            sys.error('root not found')
    return depth
Пример #18
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 def openCustomCfg(self):
     # test that the file exists
     if  not os.path.isfile(self.optCfg):
         pError("Config: custom cfg file " + self.optCfg + " does not exist.")
         sys.error(2)
     # open
     with open(self.optCfg) as cfgFileHandle:
         mirrorCfg = json.load(cfgFileHandle)
     # update mirror's cfg
     self.mirrorCfg = update(self.mirrorCfg, mirrorCfg)
Пример #19
0
def print_arguments(program, args):
	""" Run program specified by user (species, genes, or snps) """
	if program == 'species':
		print_species_arguments(args)
	elif program == 'genes':
		print_gene_arguments(args)
	elif program == 'snps':
		print_snp_arguments(args)
	else:
		sys.error("Unrecognized program: '%s'" % program)
Пример #20
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 def addFromFileNames(cls, filenames):
     """The method, given a list of file names, creates an array of dataset objects."""
     if len(filenames) == 0:
         sys.error(
             "Trying to create a Datasets object from an empty list of filenames"
         )
     datasets = []
     for filename in filenames:
         datasets.append(self.datasetFromFileName(filename))
     return cls(Datasets.__init__(datasets))
Пример #21
0
def print_arguments(program, args):
    """ Run program specified by user (species, genes, or snps) """
    if program == 'species':
        print_species_arguments(args)
    elif program == 'genes':
        print_genes_arguments(args)
    elif program == 'snps':
        print_snps_arguments(args)
    else:
        sys.error("Unrecognized program: '%s'" % program)
Пример #22
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    def openCfg(self):
        # get the standard cluster cfg
        self.stdCfg =  os.path.join(self.commandPath, self.stdCfg)
        self.printVerbose("reading std cfg file: " + self.stdCfg)

        if  not os.path.isfile(self.stdCfg):
            pError("Config: mirror cfg file " + self.stdCfg + " does not exist.")
            sys.error(2)
        with open(self.stdCfg) as cfgFileHandle:
            self.mirrorCfg = json.load(cfgFileHandle)
Пример #23
0
def readXYZ(filename):
    items, timesteps, c = read(filename)
    if (not 'x' in items) or (not 'y' in items) or (not 'z' in items):
        sys.error(
            'Error: x,y,z are not columns in the lammps trajectory %s (only %s)'
            % (filename, items))

    indices = [items.index('x'), items.index('y'), items.index('z')]
    cout = c[:, :, indices]
    return cout
Пример #24
0
 def condicion(self):
     estCondic = self.OPila.pop()
     tipoCondicion = self.TPila.pop()
     if (tipoCondicion != "bool"):
         print "Error, el tipo no coincide"
         sys.error(0)
     else:
         cuads = ['GOTOF', estCondic, -1, -1]
         self.cuad.append(cuads)
         self.numCuad += 1
         self.salto.push(self.numCuad)
Пример #25
0
 def plotVertLine(self,Name='Curv', vCent=1, vY=[] ,Color=kBlack,Style=0,Width=2,Legend='None'):
     nP    = len(vY)
     if nP == 0 : sys.error("plotHorizBand: ZERO size")
     obj =  TGraph( nP , array('d',[vCent]*nP) , array('d',vY)  )
     obj.SetLineColor(Color)
     obj.SetMarkerColor(Color)
     obj.SetLineWidth(2)
     obj.SetLineStyle(Style)
     obj.SetMarkerStyle(0)
     obj.SetMarkerSize(0)
     self.Obj2Plot[Name] = { 'Obj' : obj , 'Type' : 'Curve' , 'Legend' : Legend }
Пример #26
0
	def condicion(self):
		estCondic = self.OPila.pop()
		tipoCondicion = self.TPila.pop()
		if(tipoCondicion != "bool"):
			print "Error, el tipo no coincide"
			sys.error(0)
		else:
			cuads = ['GOTOF', estCondic, -1, -1]
			self.cuad.append(cuads)
			self.numCuad += 1
			self.salto.push(self.numCuad)
Пример #27
0
 def plotHorizCurve(self,Name='Curv',vX=[],vCent=[],Color=kBlack,Style=0,Width=2,Legend='None'):
     nP    = len(vX)
     if nP == 0 : sys.error("plotHorizBand: ZERO size")
     if len(vCent) != nP : sys.error("plotHorizBand: size mismatch")   
     obj =  TGraph( nP , array('d',vX) ,array('d',vCent) )
     obj.SetLineColor(Color)
     obj.SetMarkerColor(Color)
     obj.SetLineWidth(Width)
     obj.SetLineStyle(Style)
     obj.SetMarkerStyle(0)
     obj.SetMarkerSize(0)
     self.Obj2Plot[Name] = { 'Obj' : obj , 'Type' : 'Curve' , 'Legend' : Legend }
Пример #28
0
def check_arguments(program, args):
    """ Run program specified by user (species, genes, or snps) """
    if program == 'species':
        check_species(args)
    elif program == 'genes':
        check_genes(args)
    elif program == 'snps':
        check_snps(args)
    else:
        sys.error("Unrecognized program: '%s'" % program)
    if platform.system() not in ['Linux', 'Darwin']:
        sys.exit("Operating system '%s' not supported" % system())
Пример #29
0
def get_arguments(program):
	""" Get arguments for specified program """
	if program == 'species':
		args = species_arguments()
	elif program == 'genes':
		args = gene_arguments()
	elif program == 'snps':
		args = snp_arguments()
	else:
		sys.error("Unrecognized program: '%s'" % program)
	args = add_ref_db(args)
	return args
Пример #30
0
def check_arguments(program, args):
	""" Run program specified by user (species, genes, or snps) """
	if program == 'species':
		check_species(args)
	elif program == 'genes':
		check_genes(args)
	elif program == 'snps':
		check_snps(args)
	else:
		sys.error("Unrecognized program: '%s'" % program)
	if platform.system() not in ['Linux', 'Darwin']:
		sys.exit("Operating system '%s' not supported" % system())
Пример #31
0
    def estimateGaussianParametersCOM(self):
        #try to estimate first guess for fitting a Gaussian based on center of mass
        if self.__ip != []:
            bla = self.__ip.getStatistics()

            return [
                bla.xCenterOfMass, bla.yCenterOfMass, self.__objSigma,
                self.__objSigma, bla.max, bla.min
            ]
        else:
            sys.error(
                'Could not estimate centroid, ImageProcessor not defined!')
Пример #32
0
def get_arguments(program):
    """ Get arguments for specified program """
    if program == 'species':
        args = species_arguments()
    elif program == 'genes':
        args = genes_arguments()
    elif program == 'snps':
        args = snps_arguments()
    else:
        sys.error("Unrecognized program: '%s'" % program)
    utility.add_ref_db(args)
    return args
Пример #33
0
def run_program(program, args):
    """ Run program specified by user (species, genes, or snps) """
    if program == 'species':
        from midas.run import species
        species.estimate_abundance(args)
    elif program == 'genes':
        from midas.run import genes
        genes.run_pipeline(args)
    elif program == 'snps':
        from midas.run import snps
        snps.run_pipeline(args)
    else:
        sys.error("Unrecognized program: '%s'" % program)
Пример #34
0
def run_program(program, args):
	""" Run program specified by user (species, genes, or snps) """
	if program == 'species':
		from phylo_cnv import species
		species.estimate_abundance(args)
	elif program == 'genes':
		from phylo_cnv import genes
		genes.run_pipeline(args)
	elif program == 'snps':
		from phylo_cnv import snps
		snps.run_pipeline(args)
	else:
		sys.error("Unrecognized program: '%s'" % program)
Пример #35
0
def run_program(program, args):
    """ Run program specified by user (species, genes, or snps) """
    if program == 'species':
        from midas.merge import merge_species
        merge_species.run_pipeline(args)
    elif program == 'genes':
        from midas.merge import merge_genes
        merge_genes.run_pipeline(args)
    elif program == 'snps':
        from midas.merge import merge_snps
        merge_snps.run_pipeline(args)
    else:
        sys.error("Unrecognized program: '%s'" % program)
Пример #36
0
def run_program(program, args):
	""" Run program specified by user (species, genes, or snps) """
	if program == 'species':
		from midas.merge import merge_species
		merge_species.run_pipeline(args)
	elif program == 'genes':
		from midas.merge import merge_genes
		merge_genes.run_pipeline(args)
	elif program == 'snps':
		from midas.merge import merge_snps
		merge_snps.run_pipeline(args)
	else:
		sys.error("Unrecognized program: '%s'" % program)
def correctPath(thepath,linesDeletedInCurrentId):
	s=thepath
	if s[-4:-3]=="#":
		n=int(s[-3:])
		j=3
	elif s[-3:-2]=="#":
		n=int(s[-2:])
		j=2
	elif s[-2:-1]=="#":
		n=int(s[-1:])
		j=1
	else:
		sys.error('this should not happen')
	return s[:-j]+str(n-linesDeletedInCurrentId)
def create_transformation(t, v):
    if t == 'rotation':  # [0, 180]
        return {'rotation_range': int(v * 180)}
    if t == 'shift':  # [0, 1]
        return {'width_shift_range': v, 'height_shift_range': v}
    if t == 'brightness':  # [0.5, 2]
        if v == 0:
            return {'brightness_range': None}
        return {'brightness_range': (1 - v * 0.5, 1 + v * 1)}
    if t == 'shear':  # [0, 60]
        return {'shear_range': v * 60}
    if t == 'channel':  # [0, 50]
        return {'channel_shift_range': v * 50}
    sys.error('Unknown transformation: %s' % t)
Пример #39
0
 def plotHorizBand(self,
                   Name='Band',
                   vX=[],
                   vCent=[],
                   vUp=[],
                   vDown=[],
                   Color=90,
                   Style=1001,
                   Legend='None'):
     nP = len(vX)
     if nP == 0: sys.error("plotHorizBand: ZERO size")
     if len(vCent) != nP: sys.error("plotHorizBand: size mismatch")
     if len(vUp) != nP: sys.error("plotHorizBand: size mismatch")
     if len(vDown) != nP: sys.error("plotHorizBand: size mismatch")
     obj = TGraphAsymmErrors(
         nP, array('d', vX), array('d', vCent), array('d', [0.] * nP),
         array('d', [0.] * nP),
         array('d', [vCent[i] - vDown[i] for i in range(nP)]),
         array('d', [vUp[i] - vCent[i] for i in range(nP)]))
     print obj.GetFillStyle()
     obj.SetFillStyle(Style)
     obj.SetFillColor(Color)
     obj.SetLineColor(Color)
     obj.SetLineWidth(2)
     self.Obj2Plot[Name] = {'Obj': obj, 'Type': 'Band', 'Legend': Legend}
Пример #40
0
def main(prog_args):
    parser = optparse.OptionParser(version=meta.__version__)
    extract_group = optparse.OptionGroup(parser, 'Extract Queries from psql log')
    extract_group.add_option('--extract-queries', action='store_true', help='extract queries from a log file')
    extract_group.add_option('--log-file', help='specify log file')
    parser.add_option_group(extract_group)

    analyze_group = optparse.OptionGroup(parser, 'Analyze extracted queries')
    analyze_group.add_option('--analyze-queries', action='store_true', help='analyze query file (or stdin)')
    analyze_group.add_option('--query-file', help='specify query file (file with queries delimited by %s or stdin)' % SEP)
    analyze_group.add_option('--dburl', help='sqlalchemy connection string (we do not use sa, just the style of it ie postgres://postgres:password@localhost:port/dbname)')
    analyze_group.add_option('--config-file', help='specify config file containing parameters for analyzing')
    parser.add_option_group(analyze_group)

    parser.add_option('--gen-config', action='store_true', help='generate a config file writeing work_mem and maintenance_work_mem')
    
    parser.add_option('--test', action='store_true', help='run doctests')
    
    
    opt, args = parser.parse_args(prog_args)

    if opt.extract_queries:
        if not opt.log_file:
            sys.error('Specify --log-file')
            return 1
        fin = open(opt.log_file)
        fout = sys.stdout
        get_log_queries(fin, fout)
        fout.close()

    if opt.analyze_queries:
        if not opt.query_file:
            fin = sys.stdin
        else:
            fin = open(opt.query_file)
        if not opt.config_file:
            sys.error('Specify --config-file (--gen-config to generate sample)')
        
        analyze_queries(_get_qf_queries(fin), opt.dburl, open(opt.config_file), sys.stdout)

    if opt.gen_config:
        c = Config()
        c.add_setting('work_mem', ['1MB', '512MB'])
        c.add_setting('maintenance_work_mem', ['1MB', '512MB'])
        c.write(sys.stdout)
        
    if opt.test:
        import doctest
        doctest.testmod()
Пример #41
0
def fromString(s):
    line = s.split("\n")
    style = line[0][line[0].find("<BG"):line[0].find(">")]
    G = nx.DiGraph()
    attr = line[0][line[0].find(">")+2:].rstrip()
    if len(attr)>0:
        for k in attr.split(" "):
            kk,v = k.split("=")
            G.graph[kk] = v
    row = 1
    numrows = len(line)
    while row < numrows and line[row][0]=="N":
        r = line[row].rstrip().split(" ")
        if len(r) < 2:
            sys.exit("ERROR: graph node index not found on line " + line[row])
        G.add_node(int(r[1])+1)
        G.node[int(r[1])+1]['ind'] = int(r[1])+1
        G.node[int(r[1])+1]['viewpoint'] = True
        G.node[int(r[1])+1]['childrenOrder']=[]
        if len(r) > 2:
            G.node[int(r[1])+1]['label'] = ("".join(r[2:]).encode('utf-8'))
        row += 1
    while row < numrows and line[row][0]=="E":
        r = line[row].rstrip().split(" ")
        if len(r) < 3:
            sys.exit("ERROR: graph edge index not found on line " + line[row])
        G.add_edge(int(r[1])+1, int(r[2])+1)
        if len(r) == 3:
            print "Error unordered edge!"
        if len(r) > 3:
            index=int(r[3])-2
            #extend list if it is not long enough for the index
            G.node[int(r[1])+1]['childrenOrder'].extend([-1 for i in xrange(len(G.node[int(r[1])+1]['childrenOrder']),index+1)])
            G.node[int(r[1])+1]['childrenOrder'][index]=int(r[2])+1
            #print G.node[int(r[1])]['childrenOrder']
            #childrenOrder sould be correct
            
            G.edge[int(r[1])+1][int(r[2])+1]['childindex'] = r[3]
            #G.edge[int(r[1])][r[2]]['label'] = r[3:]

        row += 1
    #integrity check
    for i in G.nodes():
        #print i,DAG.node[i]['childrenOrder'],DAG.out_degree(i)
        assert len(G.node[i]['childrenOrder'])==G.out_degree(i)
    if not line[row]=="<EG>":
        sys.error("ERROR: cannot find expected <EG> marker at the end of the graph")
    return G
Пример #42
0
def readGenes(fname):
    """
   Take a file name that is bed-like (needs at least 3 columns) - will conserve strand and name if they exist
   Name will be the dictionary key for the output coverages
   """
    genes = {}
    i = 1
    fieldsep = getsep(fname)
    patt = re.compile(r'^chr$')
    with open(fname) as fn:
        for line in fn:
            if line.startswith('#'):
                continue
            try:
                chrom, start, end, name, score, strand = line.strip().split(
                    fieldsep)[:6]
            except:
                try:
                    a = line.strip().split(fieldsep)
                    length = len(a)
                    ext = 6 - length
                    a.extend(['.'] * ext)
                    chrom, start, end, name, score, strand = a
                except:
                    sys.error(fname, 'Not a valid bed')
            if name == '.':
                name = 'peak' + str(i)
            else:
                name = os.path.basename(
                    name
                )  #macs puts the full path in this name field, if it hasn't been cleaned up yet this will
            if strand not in ('+', '-', '.'):
                strand = '.'
            if args.m:
                try:
                    start = (int(start) + int(end)) / 2
                    end = int(start + 1)
                except:
                    continue
            else:
                #this should be used to deal with TSS
                start = int(start)
                end = int(start) + 1
            iv = HTSeq.GenomicInterval(chrom.replace('"', ''), int(start),
                                       int(end), strand)
            genes[str(name)] = iv
            i += 1
    return (genes)
Пример #43
0
def get_concat_contigs(dirpath, filename):
    filepath = get_filepath(dirpath, filename)
    if (is_valid_file(filepath)):
        count_contig = get_contig_count(filepath)
        if (count_contig > 1):
            file_org = open("%s" % filepath, "r")
            file_new = open("%s/concat-%s" % (dirpath, filename), "a")
            file_new.write(">%s\n" % (filename))
            for line in file_org:
                if (line[0] != ">"):
                    line = line.rstrip()
                    file_new.write(line)
            file_org.close()
            file_new.close()
    else:
        sys.error("Invalid path")
def get_concat_contigs(dirpath, filename):
    filepath = get_filepath(dirpath, filename)
    if(is_valid_file(filepath)):
        count_contig = get_contig_count(filepath)
        if(count_contig > 1):
            file_org = open("%s" %filepath, "r")
            file_new = open("%s/concat-%s" %(dirpath, filename), "a")
            file_new.write(">%s\n" %(filename))
            for line in file_org:
                if(line[0] != ">"):
                      line = line.rstrip()
                      file_new.write(line)
            file_org.close()
            file_new.close()
    else:
        sys.error("Invalid path")
Пример #45
0
    def estimateGaussianParametersBinary(self):
        #try to estimate first guess for fitting a Gaussian based on largest binary particle
        if self.__ip != []:
            ip_binary = self.__ip.duplicate()
            ip_binary.setAutoThreshold(
                ij.process.AutoThresholder.Method.IsoData, True)
            #ip_binary.setAutoThreshold(ImageProcessor.ISODATA2, True)
            ip_binary.threshold(int(ip_binary.getMinThreshold()))
            imp = ImagePlus('temp', ip_binary)
            #not finished yet
            print 'Threshold: ', int(ip_binary.getMinThreshold())

            #return [bla.xCenterOfMass, bla.yCenterOfMass, self.__objSigma, self.__objSigma, bla.max, bla.min]
        else:
            sys.error(
                'Could not estimate centroid, ImageProcessor not defined!')
Пример #46
0
def p_Asignacion(p):
	'''Asignacion : faID Factor5 Asignacion2'''
	ID = avail.IDPila_pop()
	if(idF == "asig"):
		TDim = avail.DPila_pop()		
		variables_declaradas(ID)
		if(avail.DPila_pop()):
			if(TDim):
				par = avail.OPila_pop()
				par2 = avail.OPila_pop()
				avail.OPila_push(par)
				avail.TPila_push(tipo_variable(ID, "var"))
				avail.OPila_push(dir_var(ID))
				avail.OPila_push(par2)
				avail.dim(dimension(ID), avail.OPila_pop())
				avail.asign(avail.OPila_pop())
			else:
				par = avail.OPila_pop()
				par2 = avail.OPila_pop()
				par3 = avail.OPila_pop()
				avail.OPila_push(par)
				avail.OPila_push(par2)
				avail.TPila_push(tipo_variable(ID, "var"))
				avail.OPila_push(dir_var(ID))
				avail.OPila_push(par3)
				avail.dmT(dimension(ID), avail.OPila_pop())
				avail.asign(avail.OPila_pop())
				avail.asign(avail.OPila_pop())
		else:
			avail.asign(dir_var(ID))
	else:
		if(ID not in direc):
			print "Funcion no declarada", ID
			sys.exit(0)	
		else:
			if((len(direc[ID][0])) != len(CHF)):
				print "Error de llamada de funcion, ", ID
				sys.error(0)
			else:
				cont = 0
				for key in direc[ID][0]:
					if(direc[ID][0][key][0] != CHF[cont]):
						
						print "Error de tipo de llamada de funcion"
						sys.error(0)
					cont += 1 
	CHF[:] = []
Пример #47
0
def p_Asignacion(p):
    '''Asignacion : faID Factor5 Asignacion2'''
    ID = avail.IDPila_pop()
    if (idF == "asig"):
        TDim = avail.DPila_pop()
        variables_declaradas(ID)
        if (avail.DPila_pop()):
            if (TDim):
                par = avail.OPila_pop()
                par2 = avail.OPila_pop()
                avail.OPila_push(par)
                avail.TPila_push(tipo_variable(ID, "var"))
                avail.OPila_push(dir_var(ID))
                avail.OPila_push(par2)
                avail.dim(dimension(ID), avail.OPila_pop())
                avail.asign(avail.OPila_pop())
            else:
                par = avail.OPila_pop()
                par2 = avail.OPila_pop()
                par3 = avail.OPila_pop()
                avail.OPila_push(par)
                avail.OPila_push(par2)
                avail.TPila_push(tipo_variable(ID, "var"))
                avail.OPila_push(dir_var(ID))
                avail.OPila_push(par3)
                avail.dmT(dimension(ID), avail.OPila_pop())
                avail.asign(avail.OPila_pop())
                avail.asign(avail.OPila_pop())
        else:
            avail.asign(dir_var(ID))
    else:
        if (ID not in direc):
            print "Funcion no declarada", ID
            sys.exit(0)
        else:
            if ((len(direc[ID][0])) != len(CHF)):
                print "Error de llamada de funcion, ", ID
                sys.error(0)
            else:
                cont = 0
                for key in direc[ID][0]:
                    if (direc[ID][0][key][0] != CHF[cont]):

                        print "Error de tipo de llamada de funcion"
                        sys.error(0)
                    cont += 1
    CHF[:] = []
def main(folder_input, type_input, output=None):
    folder_input = realpath(folder_input)
    if not isdir(folder_input):
        logger.error('Input is not a folder: %s' % folder_input)
        sys.error(0)

    if not output:
        fname = basename(normpath(folder_input))
        output = join(folder_input, fname + '.json')

    if type_input.lower() == 'xml':
        convert_xml(folder_input, output)
    elif type_input.lower() == 'txt':
        convert_txt(folder_input, output)
    else:
        logger.error('Type of files is not correct: %s' % type_input)
        sys.error(0)
Пример #49
0
def main():
  if not os.path.exists('poker.jpg'):
    print 'ERROR: This is a simple test meant to be run on local files. Please run from the subimage/test directory.'
    sys.exit(-1)

  img = cv2.imread('poker.jpg', cv2.CV_LOAD_IMAGE_GRAYSCALE)
  cards = ar.find_by_ar(img, 0.7, 0.02,min_height=100,min_width=50)
  if not cards:
    print 'Sorry, couldn\'t find any cards in the provided image.'
    sys.error(-1)
  for card in cards:
    #try to find what suit this card is
    subsection = img[card.box]
    subsection = subsection * card.mask
    suit = get_suit(subsection)
    value = get_value(subsection)
    print 'Card found at ' + str(card.x) +','+ str(card.y)+': ' + suit + ' ' + value 
Пример #50
0
    def mov_average(self, n=3, win='tri'):
        """
        Apply moving average with specified window.
    
        Parameters:  n:   window width (truncated to be odd integer)
                     win: window type. Available windows are:
                          'rec': rectangular
                          'tri': triangular
        """

        n = np.int(n)  # truncate to integer
        n = n - (1 - np.mod(n, 2))  # n is odd or will be decreased by 1
        m = (n - 1) // 2 + 1  # window center
        W = np.ones(n)  # default rectangular window

        if (win.lower() == 'rec'):
            pass

        elif (win.lower() == 'tri'):
            W[:m] = np.linspace(1 / m, 1., m)
            W[m - 1:] = np.linspace(1., 1 / m, m)

        else:
            sys.error('Averaging window type not available!')

        m = m - 1
        W = W / W.sum()
        X = MRPy.copy(self)

        for kX in range(self.NX):

            for k in range(0, m):
                k0 = m - k
                W0 = W[k0:] / np.sum(W[k0:])
                X[kX, k] = np.sum(W0 * self[kX, :k + m + 1])

            for k in range(m, self.N - m - 1):
                X[kX, k] = np.sum(W * self[kX, k - m:k + m + 1])

            for k in range(self.N - m - 1, self.N):
                k0 = m - k + self.N
                W0 = W[:k0] / np.sum(W[:k0])
                X[kX, k] = np.sum(W0 * self[kX, k - m:])

        return X
Пример #51
0
def main():
    if not os.path.exists('poker.jpg'):
        print 'ERROR: This is a simple test meant to be run on local files. Please run from the subimage/test directory.'
        sys.exit(-1)

    img = cv2.imread('poker.jpg', cv2.CV_LOAD_IMAGE_GRAYSCALE)
    cards = ar.find_by_ar(img, 0.7, 0.02, min_height=100, min_width=50)
    if not cards:
        print 'Sorry, couldn\'t find any cards in the provided image.'
        sys.error(-1)
    for card in cards:
        #try to find what suit this card is
        subsection = img[card.box]
        subsection = subsection * card.mask
        suit = get_suit(subsection)
        value = get_value(subsection)
        print 'Card found at ' + str(card.x) + ',' + str(
            card.y) + ': ' + suit + ' ' + value
Пример #52
0
 def plotVertLine(self,
                  Name='Curv',
                  vCent=1,
                  vY=[],
                  Color=kBlack,
                  Style=0,
                  Width=2,
                  Legend='None'):
     nP = len(vY)
     if nP == 0: sys.error("plotHorizBand: ZERO size")
     obj = TGraph(nP, array('d', [vCent] * nP), array('d', vY))
     obj.SetLineColor(Color)
     obj.SetMarkerColor(Color)
     obj.SetLineWidth(2)
     obj.SetLineStyle(Style)
     obj.SetMarkerStyle(0)
     obj.SetMarkerSize(0)
     self.Obj2Plot[Name] = {'Obj': obj, 'Type': 'Curve', 'Legend': Legend}
Пример #53
0
def readGenes (fname):
   """
   Take a file name that is bed-like (needs at least 3 columns) - will conserve strand and name if they exist
   Name will be the dictionary key for the output coverages
   """
   genes = {}
   i = 1
   fieldsep = getsep(fname)
   patt = re.compile(r'^chr$')
   with open(fname) as fn:
      for line in fn:
         if line.startswith('#'):
            continue
         try:
            chrom,start,end,name,score,strand = line.strip().split(fieldsep)[:6]
         except:
            try:
               a = line.strip().split(fieldsep)
               length = len(a)
               ext = 6-length
               a.extend(['.'] * ext)
               chrom, start, end, name, score, strand = a
            except:
               sys.error(fname, 'Not a valid bed')
         if name == '.':
            name = 'peak'+str(i)
         else:
            name = os.path.basename(name) #macs puts the full path in this name field, if it hasn't been cleaned up yet this will
         if strand not in ('+', '-', '.'):
            strand = '.'
         if args.m:
            try:
               start = (int(start)+int(end)) / 2
               end = int(start +1 )
            except:
               continue
         else:
            #this should be used to deal with TSS
            start = int(start)
            end = int(start)+1
         iv = HTSeq.GenomicInterval(chrom.replace('"',''), int(start), int(end), strand)
         genes[str(name)] = iv
         i += 1
   return(genes)
Пример #54
0
def tag_insert(thing_id, tag_name):
    sql_i = "INSERT OR IGNORE INTO tag (name) VALUES (?)"
    c = conn.cursor()
    param = (tag_name,)
    c.execute(sql_i, param)
    conn.commit()
    sql_i = "SELECT id FROM tag WHERE name = ?"
    param = (tag_name,)
    c.execute(sql_i, param)
    tag_id = c.fetchone()[0]
    if tag_id:
        sql_i = "INSERT OR IGNORE INTO thing_tag (thing_id, tag_id) VALUES (?, ?)"
        param = (thing_id, tag_id)
        # print param
        c.execute(sql_i, param)
        conn.commit()
    else:
        sys.error("tag is not exisitng in database file")
    c.close()
Пример #55
0
    def __init__(self, path):
        # Regex za <div> poruke.
        ri = re.compile(
            r'<div\s+class="_3-94 _2lem"\s*>.*?</div>\s*(?=<div\s+class="_3-94 _2lem)',
            re.MULTILINE | re.S)

        try:
            f = open(path, "r", encoding="utf8")
        except IOError:
            sys.error("Fajl ne postoji.")

        # U buf se ucitava cela html stranica, a match je kolekcija svih poruka.
        buf = f.read()
        match = ri.findall(buf)

        if match is None:
            sys.exit()
        else:
            self.msgs = match
Пример #56
0
 def plotHorizCurve(self,
                    Name='Curv',
                    vX=[],
                    vCent=[],
                    Color=kBlack,
                    Style=0,
                    Width=2,
                    Legend='None'):
     nP = len(vX)
     if nP == 0: sys.error("plotHorizBand: ZERO size")
     if len(vCent) != nP: sys.error("plotHorizBand: size mismatch")
     obj = TGraph(nP, array('d', vX), array('d', vCent))
     obj.SetLineColor(Color)
     obj.SetMarkerColor(Color)
     obj.SetLineWidth(Width)
     obj.SetLineStyle(Style)
     obj.SetMarkerStyle(0)
     obj.SetMarkerSize(0)
     self.Obj2Plot[Name] = {'Obj': obj, 'Type': 'Curve', 'Legend': Legend}
Пример #57
0
def license_insert(thing_id, license_url):
    sql_i = "INSERT OR IGNORE INTO license (url) VALUES (?)"
    c = conn.cursor()
    param = (license_url,)
    c.execute(sql_i, param)
    conn.commit()
    sql_i = "SELECT id FROM license WHERE url = ?"
    param = (license_url,)
    c.execute(sql_i, param)
    license_id = c.fetchone()
    if license_id and license_id[0]:
        license_id = license_id[0]
        sql_i = "INSERT OR IGNORE INTO thing_license (thing_id, license_id) VALUES (?,?)"
        param = (thing_id, license_id)
        # print param
        c.execute(sql_i, param)
        conn.commit()
    else:
        sys.error("license error in database")
    c.close()
Пример #58
0
 def plotHorizBand(self,Name='Band',vX=[],vCent=[],vUp=[],vDown=[],Color=90,Style=1001,Legend='None'):
     nP    = len(vX)
     if nP == 0 : sys.error("plotHorizBand: ZERO size")
     if len(vCent) != nP : sys.error("plotHorizBand: size mismatch")   
     if len(vUp)   != nP : sys.error("plotHorizBand: size mismatch")   
     if len(vDown) != nP : sys.error("plotHorizBand: size mismatch")   
     obj = TGraphAsymmErrors( nP , array('d',vX) , array('d',vCent) , array('d',[0.]*nP), array('d',[0.]*nP) , array('d',[vCent[i]-vDown[i] for i in range(nP)]) , array('d',[vUp[i]-vCent[i] for i in range(nP)]) )
     print obj.GetFillStyle()
     obj.SetFillStyle(Style)
     obj.SetFillColor(Color)
     obj.SetLineColor(Color) 
     obj.SetLineWidth(2) 
     self.Obj2Plot[Name] = { 'Obj' : obj , 'Type' : 'Band' , 'Legend' : Legend }
Пример #59
0
def file_insert(thing_id, file_type, file_url, file_date, file_name, file_download):
    sql_i = "INSERT OR IGNORE INTO file_type (type) VALUES (?)"
    c = conn.cursor()
    param = (file_type,)
    # print param
    c.execute(sql_i, param)
    conn.commit()
    sql_i = "SELECT id FROM file_type WHERE type=?"
    param = (file_type,)
    c.execute(sql_i, param)
    type_id = c.fetchone()[0]
    if type_id:
        sql_i = "INSERT INTO file (thing_id, date, type_id, download_count, url, name) VALUES (?, ?, ?, ?, ?, ?)"
        param = (thing_id, file_date, type_id, file_download, file_url, file_name)
        # print param
        c.execute(sql_i, param)
        conn.commit()
    else:
        sys.error("file type is not correct in database")
    c.close()
Пример #60
0
def copy_file(in_file):
    if 'release' in build_type.lower():
        file_list = (in_file)
    elif 'debug' in build_type.lower():
        base_fn, ext = os.path.splitext(in_file)
        file_list = (base_fn+'d'+ext,
                     base_fn[:(len(base_fn)-1)]+'d'+base_fn[-1]+ext,
                     in_file)#must be the last
    else:
        sys.error('unknown build type'+buildtype)
    for file in file_list:
        src = os.path.join(src_root_path, file)
        if os.path.isfile(src):
            dst = os.path.join(dst_root_path, file)
            dir = os.path.dirname(dst)
            if not os.path.exists(dir):
                os.makedirs(dir)
            sh.copy(src, dst)
            return
    for file in file_list:
        src = os.path.join(src_root_path, file)
        sys.stderr.write(src+" does not exist\n")