repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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prophesy | prophesy-master/prophesy/input/samplefile.py | import logging
from prophesy.data.samples import InstantiationResultDict, ParameterInstantiation, InstantiationResultFlag
from prophesy.adapter.pycarl import Rational
from prophesy.data.point import Point
logger = logging.getLogger(__name__)
def read_samples_file(path, parameters):
"""
Reads sample files.
... | 3,648 | 40.942529 | 132 | py |
prophesy | prophesy-master/prophesy/input/pctlfile.py | from prophesy.util import check_filepath_for_reading
from prophesy.data.property import Property
class PctlFile:
"""
Wrapper for pctl files, which contain a list of pctl formulae
"""
def __init__(self, location):
check_filepath_for_reading(location)
self.location = location
self... | 972 | 31.433333 | 134 | py |
prophesy | prophesy-master/prophesy/input/__init__.py | # intentionally left blank
| 27 | 13 | 26 | py |
prophesy | prophesy-master/prophesy/input/modelfile.py | import os
import re
import shutil
import tempfile
import logging
from prophesy.config import configuration
from prophesy.util import ensure_dir_exists, check_filepath_for_reading
from prophesy.data.parameter import ParameterOrder, Parameter
from prophesy.data.model_type import ModelType, model_is_nondeterministic
from... | 6,597 | 36.91954 | 129 | py |
prophesy | prophesy-master/prophesy_web/application.py | import os
from prophesy.modelcheckers.prism import PrismModelChecker
from prophesy.data.point import Point
from prophesy.data.samples import ParameterInstantiation, InstantiationResultDict
from prophesy.regions.region_solutionfunctionchecker import SolutionFunctionRegionChecker
from prophesy.regions.region_checker impo... | 34,164 | 36.668137 | 188 | py |
prophesy | prophesy-master/prophesy_web/config.py | import os
import subprocess
from prophesy.util import Configuration
class WebConfig(Configuration):
# Sections
DIRECTORIES = "directories"
def __init__(self):
super().__init__(os.path.join(os.path.dirname(
os.path.realpath(__file__)), "prophesy_web.cfg"))
def get_results_dir(sel... | 1,066 | 25.02439 | 85 | py |
prophesy | prophesy-master/prophesy_web/__init__.py | 0 | 0 | 0 | py | |
prophesy | prophesy-master/prophesy_web/tests/tornado_test_case.py | import pytest
# Imported to start the webservice and check it's functionality
from prophesy_web.application import make_app, initEnv
from tornado.testing import AsyncHTTPTestCase
# For parsing json-strings in dicts
import json
class TornadoTestCase(AsyncHTTPTestCase):
""" General class for testing the tornado w... | 2,880 | 34.567901 | 81 | py |
prophesy | prophesy-master/prophesy_web/tests/test_tornado.py | import pytest
from tornado_test_case import TornadoTestCase
# For parsing json-strings in dicts
import json
# To create random numbers for testing the configuration (maybe unnecessary)
import random
# Check if a file really exists
import os.path
import shutil
import logging
from helpers.helper import get_example_pat... | 8,808 | 43.489899 | 112 | py |
prophesy | prophesy-master/prophesy_web/tests/test_tornado_workflow.py | import pytest
from tornado_test_case import TornadoTestCase
# Imported to start the webservice and check it's functionality
from prophesy_web.application import make_app, initEnv
from tornado.testing import AsyncHTTPTestCase
# For parsing json-strings in dicts
import json
# To create random numbers for testing the ... | 3,024 | 39.878378 | 113 | py |
prophesy | prophesy-master/prophesy_web/tests/helpers/helper.py | import os
example_dir = os.path.abspath(
os.path.join(os.path.dirname(__file__), os.pardir, os.pardir, os.pardir, "examples"))
def get_example_path(*paths):
return os.path.join(example_dir, *paths)
| 209 | 22.333333 | 89 | py |
prophesy | prophesy-master/scripts/parameter_synthesis.py | #!/usr/bin/env python3
import logging
import time
import click
import prophesy.adapter.pycarl as pc
import prophesy.config
import random
import numpy
from prophesy.data.constant import parse_constants_string
from prophesy.data.hyperrectangle import HyperRectangle
from prophesy.data.samples import InstantiationResultDi... | 31,629 | 45.514706 | 245 | py |
prophesy | prophesy-master/scripts/webcegar.py | #!/usr/bin/env python3
from argparse import ArgumentParser
from tornado.ioloop import IOLoop
import logging
import prophesy.config
from prophesy_web import config
from prophesy_web.application import initEnv, make_app
def parse_cli_args():
parser = ArgumentParser(description='Start a webservice for ' + config.T... | 1,271 | 32.473684 | 109 | py |
prophesy | prophesy-master/scripts/tests/test_sampling_solutionfunction.py | import os.path
import logging
import pytest
from requires import *
from conftest import EXAMPLE_FOLDER, current_time
import click.testing
logger = logging.getLogger(__name__)
import parameter_synthesis
SAMPLINGNR = 3
ITERATIONS = 1
target_file = "sampling_solutionfunction_{}.samples".format(current_time)
benchmarks... | 2,185 | 32.630769 | 81 | py |
prophesy | prophesy-master/scripts/tests/requires.py | ###
# Helpers for the script tests.
####
import pytest
from prophesy.config import configuration, modules
def require_prism(rational_function=False):
if rational_function:
return pytest.mark.xfail()
return pytest.mark.skipif(not configuration.get_prism(), reason="requires prism")
def require_storm... | 970 | 26.742857 | 95 | py |
prophesy | prophesy-master/scripts/tests/conftest.py | import sys
import os
import time
import prophesy.config
import logging
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
logging.basicConfig(filename="prophesy_script_test.log", format='%(levelname)s:%(message)s', level=logging.DEBUG)
EXAMPLE_FOLDER = os.path.join(os.path.dirname(os.path.dir... | 507 | 35.285714 | 113 | py |
prophesy | prophesy-master/scripts/tests/test_find_feasible_solution.py | import os.path
import pytest
import logging
from conftest import EXAMPLE_FOLDER, current_time
from requires import *
import click.testing
import pycarl
import parameter_synthesis
logger = logging.getLogger(__name__)
target_file = "sampling_model_{}.samples".format(current_time)
benchmarks = [
("brp", "brp_16-2"... | 4,932 | 36.656489 | 81 | py |
prophesy | prophesy-master/scripts/tests/test_sampling_model.py | import os.path
import pytest
import logging
from requires import *
from conftest import EXAMPLE_FOLDER, current_time
import click.testing
import pycarl
import parameter_synthesis
logger = logging.getLogger(__name__)
SAMPLINGNR = 3
ITERATIONS = 1
target_file = "sampling_model_{}.samples".format(current_time)
benchma... | 2,605 | 37.323529 | 101 | py |
prophesy | prophesy-master/scripts/tests/util.py | import random
import numpy as np
def set_random_seeds(py_seed=42, np_seed=23):
random.seed(py_seed)
np.random.seed(np_seed)
| 135 | 14.111111 | 45 | py |
prophesy | prophesy-master/scripts/tests/test_search_optimum.py | import os.path
import pytest
import logging
from requires import *
from conftest import EXAMPLE_FOLDER, current_time
import click.testing
import parameter_synthesis
logger = logging.getLogger(__name__)
target_file = "sampling_model_{}.samples".format(current_time)
benchmarks = [
pytest.param("brp", "brp", "N=16... | 1,098 | 31.323529 | 95 | py |
prophesy | prophesy-master/scripts/tests/test_compute_solutionfunction.py | import os.path
import pytest
import logging
from conftest import EXAMPLE_FOLDER, current_time
from requires import *
import click.testing
import pycarl
import parameter_synthesis
logger = logging.getLogger(__name__)
target_file = "compute_solutionfunction_{}.rat".format(current_time)
benchmarks = [
pytest.param(... | 1,492 | 36.325 | 116 | py |
prophesy | prophesy-master/scripts/tests/test_complete_pipeline.py | import os.path
import pytest
import logging
from conftest import EXAMPLE_FOLDER, current_time
from requires import *
import click.testing
logger = logging.getLogger(__name__)
import parameter_synthesis
import pycarl
benchmarks_pipeline = [
pytest.param("brp", "brp", "N=16,MAX=2", "property1", 0.7, "z3", "storm", ... | 2,121 | 41.44 | 158 | py |
prophesy | prophesy-master/scripts/tests/test_parameter_space_partitioning.py | import os.path
import pytest
import logging
from conftest import EXAMPLE_FOLDER, current_time
from requires import *
import click.testing
logger = logging.getLogger(__name__)
import parameter_synthesis
import pycarl
benchmarks_smt = [
pytest.param("kydie", "kydie", "", "property1", "kydie", "15/100", "z3", "quad... | 8,365 | 43.031579 | 169 | py |
prophesy | prophesy-master/tests/requires.py | ###
# Helpers for the script tests.
####
import pytest
from prophesy.config import configuration, modules
def require_prism(rational_function=False):
if rational_function:
return pytest.mark.xfail()
return pytest.mark.skipif(not configuration.get_prism(), reason="requires prism")
def require_storm... | 967 | 29.25 | 95 | py |
prophesy | prophesy-master/tests/conftest.py | import pytest
import os
import sys
import prophesy.config
import logging
sys.path.append(os.path.join(os.path.dirname(__file__), 'helpers'))
logging.basicConfig(filename="prophesy_test.log", format='%(levelname)s:%(message)s', level=logging.DEBUG)
prophesy.config.load_configuration()
""" Enable incremental testing ""... | 777 | 28.923077 | 106 | py |
prophesy | prophesy-master/tests/helpers/helper.py | import os
example_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir, "examples"))
def get_example_path(*paths):
return os.path.join(example_dir, *paths)
| 193 | 23.25 | 104 | py |
prophesy | prophesy-master/tests/modelcheckers/test_sampling.py | from prophesy.modelcheckers.storm import StormModelChecker
from prophesy.modelcheckers.stormpy import StormpyModelChecker
from prophesy.input.modelfile import PrismFile
from prophesy.input.pctlfile import PctlFile
import prophesy.adapter.pycarl as pc
from prophesy.data.point import Point
from helpers.helper import get... | 1,326 | 35.861111 | 82 | py |
prophesy | prophesy-master/tests/modelcheckers/test_check_region.py | from prophesy.modelcheckers.storm import StormModelChecker
from prophesy.modelcheckers.stormpy import StormpyModelChecker
from prophesy.modelcheckers.prism import PrismModelChecker
from prophesy.input.modelfile import PrismFile
from prophesy.input.pctlfile import PctlFile
from prophesy.data.hyperrectangle import HyperR... | 1,758 | 44.102564 | 108 | py |
prophesy | prophesy-master/tests/modelcheckers/test_compute_rational_function.py | from prophesy.modelcheckers.storm import StormModelChecker
from prophesy.modelcheckers.stormpy import StormpyModelChecker
from prophesy.modelcheckers.prism import PrismModelChecker
from prophesy.input.modelfile import PrismFile
from prophesy.input.pctlfile import PctlFile
from helpers.helper import get_example_path
fr... | 2,009 | 39.2 | 94 | py |
prophesy | prophesy-master/tests/data/test_hyperrect.py | from prophesy.data.interval import Interval, string_to_interval, BoundType
from prophesy.data.hyperrectangle import HyperRectangle
from prophesy.data.point import Point
import prophesy.adapter.pycarl as pc
def test_hyperrectangle_splitting():
i = Interval(0.0, BoundType.closed, 2.0, BoundType.closed)
j = Int... | 3,460 | 50.656716 | 136 | py |
prophesy | prophesy-master/tests/data/test_constants.py | from prophesy.data.constant import parse_constants_string
import prophesy.adapter.pycarl as pc
def test_constants_parsing():
x_var = pc.Variable("x")
y_var = pc.Variable("y")
constants = parse_constants_string("x=y,y=2")
assert x_var in constants
assert y_var in constants
constants = parse_con... | 518 | 31.4375 | 57 | py |
prophesy | prophesy-master/tests/data/test_point.py | from prophesy.data.point import Point
def test_to_float():
p = Point(*[3, 4]).to_float()
assert p[0] == 3.0
| 120 | 12.444444 | 37 | py |
prophesy | prophesy-master/tests/data/test_range.py | from prophesy.data.range import Range, create_cartesian_product
def test_cartesian_product():
r1 = Range(1, 3, 1)
r2 = Range(4, 6, 1)
result = create_cartesian_product([r1, r2])
assert len(list(result)) == 9
| 226 | 24.222222 | 63 | py |
prophesy | prophesy-master/tests/data/test_parameter.py | from prophesy.data.parameter import Parameter
import prophesy.adapter.pycarl as pc
import pycarl
import pickle
from prophesy.data.interval import Interval, string_to_interval
def test_contains():
pycarl.clear_variable_pool()
x = pc.Variable("x")
p = Parameter(x, string_to_interval("(0,1)", int))
p_ne... | 375 | 30.333333 | 63 | py |
prophesy | prophesy-master/tests/data/test_interval.py | from prophesy.data.interval import Interval, string_to_interval, BoundType, constraint_to_interval
import pycarl
def test_interval_parsing():
int1 = string_to_interval("(2,5)", int)
assert int1.left_bound() == 2
assert int1.left_bound_type() == BoundType.open
assert int1.right_bound() == 5
assert i... | 7,838 | 39.2 | 98 | py |
prophesy | prophesy-master/tests/data/test_property.py | from prophesy.data.property import *
import prophesy.adapter.pycarl as pc
def test_property_parsing():
input_string = "Pmin=? [F \"now\"]"
p = Property.from_string(input_string)
assert input_string == str(p)
input_string = "Pmin=? [F \"now\"]"
p = Property.from_string(input_string)
assert inpu... | 678 | 34.736842 | 73 | py |
prophesy | prophesy-master/tests/input/test_storm_result.py | from prophesy.input.solutionfunctionfile import read_pstorm_result
from helpers.helper import get_example_path
from requires import *
@require_pycarl_parser()
def test_read_pstorm_result_brp():
read_pstorm_result(get_example_path("brp", "brp_16-2.rat")) | 259 | 31.5 | 66 | py |
prophesy | prophesy-master/doc/source/conf.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# prophesy documentation build configuration file, created by
# sphinx-quickstart on Wed Jan 20 17:48:07 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# a... | 7,419 | 30.440678 | 79 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/main.py | """
forked from https://github.com/juntang-zhuang/Adabelief-Optimizer/tree/update_0.2.0/PyTorch_Experiments/wgan/main.py
"""
from __future__ import print_function
import argparse
import os
import random
import wandb
import uuid
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as ... | 13,951 | 40.278107 | 199 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/optimizers/set_optim.py | from optimizers import *
import torch.optim as optim
import torch
import sys
import os
from util import build_optimizer, OptimizerSetting
def set_optimizers(optimizer, model, lr, momentum, beta1, beta2, eps, beta_momentum_coeff):
if optimizer == 'adam':
optimizer = optim.Adam(model.parameters(), lr=lr, b... | 3,198 | 37.083333 | 91 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/optimizers/util.py | # This code will be published soon | 34 | 34 | 34 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/optimizers/__init__.py | 0 | 0 | 0 | py | |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/lr_scheduler.py | from torch.optim import lr_scheduler
import math
# ================
# Set LR Scheduler
# Reference https://github.com/christiancosgrove/pytorch-spectral-normalization-gan/blob/12dcf945a6359301d63d1e0da3708cd0f0590b19/main.py#L55
# ================
def build_scheduler(opt, optimizerD, optimizerG):
if opt.schedul... | 1,690 | 33.510204 | 141 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/set_model.py | import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.utils.data
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torchvision.utils as vutils
import torch.nn.functional as F
def set_models(weights_init, model="GAN", netG_path... | 7,074 | 44.352564 | 118 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/inception.py | """
forked from https://github.com/mseitzer/pytorch-fid/blob/master/inception.py
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models
try:
from torchvision.models.utils import load_state_dict_from_url, load_state_dict
except ImportError:
from torch.utils.model_z... | 11,769 | 36.845659 | 82 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/data_utils.py | import torch
import torchvision.datasets as datasets
import torchvision.transforms as transforms
def build_dataset(opt):
if opt.dataset in ['imagenet', 'folder', 'lfw']:
# folder dataset
dataset = datasets.ImageFolder(root=opt.dataroot,
transform=transforms.Compose([... | 2,828 | 41.223881 | 91 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/lib_version.py | import sys
import torch
import torchvision
import numpy as np
import PIL
def print_libs_version():
print("Environment:")
print("\tPython: {}".format(sys.version.split(" ")[0]))
print("\tPyTorch: {}".format(torch.__version__))
print("\tTorchvision: {}".format(torchvision.__version__))
print("\tCUDA:... | 511 | 33.133333 | 63 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/log_utils.py | import datetime
def date_str():
dt_now = datetime.datetime.now()
date_str = str(dt_now.year) + "_" + str(dt_now.month) + "_" + str(dt_now.day) +\
"_" + str(dt_now.hour) + "_" + str(dt_now.minute)
return date_str
def set_otf(opt, wandb_project_name):
"""
return : e.g. const_lr_cifar10_RESNET_c... | 1,062 | 45.217391 | 151 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/fid_score.py | """
forked from https://github.com/mseitzer/pytorch-fid/blob/master/inception.py
"""
import os
import pathlib
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
import numpy as np
import torch
from scipy import linalg
from torch.nn.functional import adaptive_avg_pool2d
from PIL import Image
try:
... | 7,548 | 35.119617 | 79 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/metric.py | import torch
class TensorMetric(object):
def __init__(self, name):
self.name = name
self.sum = torch.tensor(0.)
self.n = torch.tensor(0.)
def update(self, val):
self.sum += val.detach().cpu()
self.n += 1
@property
def avg(self):
return self.sum / self.n... | 582 | 19.103448 | 38 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/lsun/download.py | # -*- coding: utf-8 -*-
from __future__ import print_function, division
import argparse
from os.path import join
import subprocess
from urllib.request import Request, urlopen
__author__ = 'Fisher Yu'
__email__ = 'fy@cs.princeton.edu'
__license__ = 'MIT'
def list_categories():
url = 'http://dl.yf.io/lsun/catego... | 1,843 | 29.733333 | 78 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/utils/lsun/data.py | from __future__ import print_function
import argparse
import cv2
import lmdb
import numpy
import os
from os.path import exists, join
__author__ = 'Fisher Yu'
__email__ = 'fy@cs.princeton.edu'
__license__ = 'MIT'
def view(db_path):
print('Viewing', db_path)
print('Press ESC to exist or SPACE to advance.')
... | 3,076 | 33.965909 | 80 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/jupyter/toy_example/set_optimizer.py | # coding: utf-8
import attr
import torch.optim as optim
from cg_optimizer import ConjugateGradientOptimizer
@attr.s
class OptimizerSetting:
name = attr.ib()
lr = attr.ib()
weight_decay = attr.ib()
model = attr.ib()
momentum = attr.ib(default=0.9) # sgd, sgd_nesterov
eps = attr.ib(default=0.00... | 2,082 | 35.54386 | 153 | py |
ConjugateGradient_GAN | ConjugateGradient_GAN-master/jupyter/toy_example/cg_optimizer.py | """ Conjugate Gradient method in PyTorch! """
import torch
from torch.optim.optimizer import Optimizer, required
class ConjugateGradientOptimizer(Optimizer):
"""
Conjugate Gradient method
Notation:
d_buffer: update vector
alpha_buffer: alpha
beta_buffer: beta
"""
def ... | 6,671 | 39.436364 | 141 | py |
dmrgpy | dmrgpy-master/install.py | #!/usr/bin/python3
# create the optional arguments
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--gpp",default="g++",
help='C++ Compiler to be used')
parser.add_argument("--check_gpp",default="True",
help='C++ Compiler to be used')
args = parser.parse_args() # get the argumen... | 671 | 31 | 76 | py |
dmrgpy | dmrgpy-master/install_julia.py | #!/usr/bin/python3
import os
import sys
import subprocess
mpath = os.path.dirname(os.path.realpath(__file__))
# main path
try:
out,err = subprocess.Popen(['julia', '--version'],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT).communicate()
except: out = ""
# check if JUlia has the corre... | 1,665 | 23.865672 | 85 | py |
dmrgpy | dmrgpy-master/addsystem.py | #!/usr/bin/python
from __future__ import print_function
import os
pwd = os.getcwd() # get the current location
# different files for Linux and Mac
import platform
if platform.system()=="Linux":
bashrc = os.environ["HOME"]+"/.bashrc" # path to .bashrc
print("Detected Linux system")
f = open(bashrc).read() # re... | 1,929 | 22.253012 | 70 | py |
dmrgpy | dmrgpy-master/clean.py | #!/usr/bin/python
import os
pwd = os.getcwd()
for d in os.walk("."): # loop over subdirectories
os.chdir(d[0])
os.system("rm -rf .mpsfolder")
os.system("rm -f ERROR")
os.system("rm -f *.OUT")
os.system("rm -rf .pychainfolder")
os.system("rm -rf .dmrgfolder")
os.chdir(pwd)
| 292 | 16.235294 | 49 | py |
dmrgpy | dmrgpy-master/examples/replace_string.py | import os
ds = os.walk(os.getcwd())
def modify(ls):
"""Modify an input file to add the path"""
return ls.replace("time.clock","time.perf_counter")
ds = [d[0] for d in ds] # loop
for d in ds:
os.chdir(d) # go to that directory
if os.path.isfile("main.py"):
ls = open("main.py").read() # read all th... | 429 | 20.5 | 56 | py |
dmrgpy | dmrgpy-master/examples/addpath.py | import os
ds = os.walk(os.getcwd())
d0 = os.getcwd()
def modify(ls,depth=1):
"""Modify an input file to add the path"""
ls = ls.split("\n") # split
lo = "# Add the root path of the dmrgpy library\n"
dd = ""
for i in range(depth): dd += "../"
lo += "import os ; import sys ; sys.path.append(os.... | 1,069 | 24.47619 | 83 | py |
dmrgpy | dmrgpy-master/examples/Heisenberg_VS_Hubbard_dynamic/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
# for example PATH = /home/jose/programs/dmrgpy/src
#PATH = PATH_TO_DMRGPY_LIBRARY
import numpy as np
import matplotlib.pyplot as plt
from dmrgpy import fermionchain
from dmrgpy import spinchain
n = 4 # number ... | 1,862 | 22.2875 | 67 | py |
dmrgpy | dmrgpy-master/examples/spinful_F_model/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import fermionchain
# example for a model containing spinful fermions
# and spinless pseudofermions in each site
n = 4 # number of fermionic sites (each having spin and f fermion... | 1,158 | 32.114286 | 68 | py |
dmrgpy | dmrgpy-master/examples/arnoldi_ground_state/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
n = 6
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chain
h = 0
for i in range(n-1):
h = ... | 681 | 21.733333 | 66 | py |
dmrgpy | dmrgpy-master/examples/analytic_continuation/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
n = 6
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chain
h = 0
for i in range(n-1):
h = ... | 896 | 20.878049 | 66 | py |
dmrgpy | dmrgpy-master/examples/exponential_time_evolution/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
n = 6 # number of sites in your chain
spins = ["S=1/2" for i in range(n)] # create the sites
sc = spinchain.Spin_Chain(spins) # create the chain
h = 0
for i in ... | 1,696 | 26.370968 | 87 | py |
dmrgpy | dmrgpy-master/examples/spinless_fermions_second_quantization/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import fermionchain
nf = 10 # number of different spinless fermionic orbitals
fc = fermionchain.Fermionic_Chain(nf) # create the object
C = fc.C # annihilation
Cdag = fc.Cdag # ... | 898 | 23.972222 | 75 | py |
dmrgpy | dmrgpy-master/examples/julia_VS_cpp/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
def get(version,n=30):
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chain
if version... | 981 | 18.254902 | 66 | py |
dmrgpy | dmrgpy-master/examples/kondo_entropy/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import fermionchain
def get(JK):
n = 4 # number of spinful fermionic sites
fc = fermionchain.Spinful_Fermionic_Chain(n) # create the chain
h = 0
mu = 0.
for i... | 1,365 | 28.695652 | 67 | py |
dmrgpy | dmrgpy-master/examples/transverse_ising_model/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
n = 40 # number of sites in your chain
spins = ["S=1/2" for i in range(n)] # create the sites
sc = spinchain.Spin_Chain(spins) # create the chain
# now define t... | 1,363 | 22.517241 | 80 | py |
dmrgpy | dmrgpy-master/examples/random_mps/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
n = 10
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chain
wf = sc.random_mps() # random wave... | 372 | 15.217391 | 66 | py |
dmrgpy | dmrgpy-master/examples/total_particle_number/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
import matplotlib.pyplot as plt
from dmrgpy import fermionchain
L = 4 # number of sites
def get_N(mu):
fc = fermionchain.Fermionic_Chain(L) # create the chain
h = 0 # initialize
... | 1,199 | 26.272727 | 79 | py |
dmrgpy | dmrgpy-master/examples/purified_excited_states/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
import time
n = 8 # take n different sites
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chai... | 1,374 | 22.706897 | 79 | py |
dmrgpy | dmrgpy-master/examples/evolve_wavefunction/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
#------------------------------------------------------------------
import numpy as np
from dmrgpy import spinchain
# Heisenberg Hamiltonian S12
n = 4 # number of sites in your chain
spins = ["S=1/2" for i in r... | 1,112 | 23.733333 | 90 | py |
dmrgpy | dmrgpy-master/examples/spinboson_chain/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import bosonchain
ns = 2 # 6 sites in total, 2 spins
nb = 4 # and 4 bosons
sites = ["S=1/2" for i in range(ns)] # add spins
sites = sites + ["B" for i in range(nb)] # add bosons
b... | 1,468 | 28.979592 | 80 | py |
dmrgpy | dmrgpy-master/examples/effective_hamiltonian/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import fermionchain
n = 2 # number of spinful fermionic sites
fc = fermionchain.Spinful_Fermionic_Chain(n) # create the chain
# initialize Hamiltonian #
h = 0
phi = 0.1
t = 1.0*np... | 860 | 21.076923 | 70 | py |
dmrgpy | dmrgpy-master/examples/comparison_dmrg/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import simplechains
b = np.random.random(3)
J = np.random.random(3)
ssc = simplechains.SSC(s=.5,n=14,b=b,J=J)
print("Energy with ED",ssc.gs_energy(mode="ED"))
print("Energy with M... | 659 | 23.444444 | 76 | py |
dmrgpy | dmrgpy-master/examples/excited_states/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
import time
n = 12 # take n different sites
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin cha... | 943 | 20.454545 | 83 | py |
dmrgpy | dmrgpy-master/examples/interacting_majorana/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import fermionchain
n = 20 # number of spinful fermionic sites
fc = fermionchain.Fermionic_Chain(n) # create the chain
h = 0
V = -0.9
for i in range(n-1): # hopping
h = h + fc... | 829 | 21.432432 | 103 | py |
dmrgpy | dmrgpy-master/examples/parafermion_static_correlator/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
import matplotlib.pyplot as plt
from dmrgpy import parafermionchain
n = 3
pc = parafermionchain.Parafermionic_Chain(n) # create the chain
h = 0
for i in range(n):
for j in range(n):
... | 1,205 | 20.157895 | 66 | py |
dmrgpy | dmrgpy-master/examples/charge_gap/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
import matplotlib.pyplot as plt
from dmrgpy import fermionchain
n = 6
fc = fermionchain.Fermionic_Chain(n) # create the chain
h = 0
for i in range(n-1):
h = h + fc.C[i]*fc.Cdag[i+1]
for i... | 516 | 16.827586 | 66 | py |
dmrgpy | dmrgpy-master/examples/haldane_gap/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
from dmrgpy import spinchain
n = 18 # take n sites
spins = ["S=1" for i in range(n)] # spin 1 Heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chain
sc.maxm = 20
sc.nsweeps = 30
h = 0
for i ... | 893 | 23.162162 | 66 | py |
dmrgpy | dmrgpy-master/examples/iterate_energy/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np # conventional numpy library
from dmrgpy import spinchain # library dealing with DMRG for spin chains
import matplotlib.pyplot as plt # library to plot the results
###########################... | 1,542 | 25.603448 | 82 | py |
dmrgpy | dmrgpy-master/examples/julia_VS_cpp_evolution/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
def get(n):
spins = [2 for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chain
h = 0
for i in range(n-1):
... | 1,101 | 19.792453 | 66 | py |
dmrgpy | dmrgpy-master/examples/hubbard_chain/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import fermionchain
n = 4 # number of spinful fermionic sites
fc = fermionchain.Spinful_Fermionic_Chain(n) # create the chain
#fc.Nup = fc.N
#fc.Ndn = fc.N
#fc.Cup = fc.C
#fc.Cdag... | 1,585 | 25 | 70 | py |
dmrgpy | dmrgpy-master/examples/dcf_haldane/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
import spinchain
n = 30
spins = [3 for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chain
sc.kpmmaxm = 10 # KPM max m
fo = open("DCF.OUT","w")... | 604 | 18.516129 | 66 | py |
dmrgpy | dmrgpy-master/examples/spinless_fermion_dynamical_correlator_multioperator/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
import matplotlib.pyplot as plt
from dmrgpy import fermionchain
n = 6
fc = fermionchain.Fermionic_Chain(n) # create the chain
m = np.matrix(np.random.random((n,n)) + 1j*np.random.random((n,n)... | 1,449 | 19.714286 | 78 | py |
dmrgpy | dmrgpy-master/examples/magnetization_distribution_moments/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
n = 20 # number of sites in your chain
spins = ["S=1/2" for i in range(n)] # create the sites
sc = spinchain.Spin_Chain(spins) # create the chain
#sc.itensor_ver... | 1,650 | 26.983051 | 67 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/hubbard_correlator/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
from dmrgpy import fermionchain
n = 20 # number of sites
fc = fermionchain.Spinful_Fermionic_Chain(n)
# first neighbor hopping
h = 0
for i in range(n-1):
h = h + fc.Cdagup[i]*fc.Cup[i+1]
h = h + fc.Cdagd... | 1,244 | 22.055556 | 84 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/static_correlator_S12/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
from dmrgpy import spinchain
n = 30
spins = ["S=1/2" for i in range(n)] # S=1 in each site
sc = spinchain.Spin_Chain(spins) # create spin chain object
h = 0 # initialize Hamiltonian
for i in range(len(spins)... | 794 | 23.090909 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/map_edge_correlator/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
import numpy as np
from dmrgpy import spinchain
n = 10
# create an S=1/2 spin chain
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
# create first neighbor exchange
sc = spinchain.Spin_Chain(... | 1,191 | 19.551724 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/energy_VS_length/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
from dmrgpy import spinchain
spins = ["S=1/2" for i in range(30)] # spins in each site
sc = spinchain.Spin_Chain(spins) # create spin chain object
h = 0 # initialize Hamiltonian
for i in range(len(spins)-1)... | 498 | 21.681818 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/XXZ_energy/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
from dmrgpy import spinchain
import numpy as np
n = 10 ; spins = ["S=1/2" for i in range(n)] # spins in each site
sc = spinchain.Spin_Chain(spins) # create spin chain object
hxy,hz = 0,0 # initialize Hamilto... | 935 | 23.631579 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/edge_correlator/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
from dmrgpy import spinchain
n = 20 ; spins = ["S=1" for i in range(n)] # S=1 chain
sc = spinchain.Spin_Chain(spins) # create spin chain object
h = 0 # initialize Hamiltonian
for i in range(len(spins)-1):
... | 942 | 23.815789 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/map_dyn_corr_correlator_impurity/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
import numpy as np
from dmrgpy import spinchain
spins = ["S=1/2" for i in range(4)] # spin 1/2 heisenberg chain
spins = spins + ["S=1"] + spins # put S=1 in the middle
n = len(spins) # total number of spins
... | 1,278 | 20.677966 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/static_correlator_S1/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
from dmrgpy import spinchain
n = 30
spins = ["S=1" for i in range(n)] # S=1 in each site
sc = spinchain.Spin_Chain(spins) # create spin chain object
h = 0 # initialize Hamiltonian
for i in range(len(spins)-1... | 792 | 23.030303 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/map_nonlocal_edge_correlator/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
import numpy as np
from dmrgpy import spinchain
n = 10
# create an S=1/2 spin chain
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
# create first neighbor exchange
sc = spinchain.Spin_Chain(... | 1,248 | 19.47541 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/bond_dimension_convergence/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
## Bond dimension energy convergence for an S=1/2 Heisenberg chain
from dmrgpy import spinchain
import numpy as np
n= 30 # size of the chain
spins = ["S=1/2" for i in range(n)] # S=1/2 chain
sc = spinchain... | 1,258 | 24.693878 | 69 | py |
dmrgpy | dmrgpy-master/examples/readme_examples/hubbard_correlator_VS_U/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../../src')
from dmrgpy import fermionchain
import numpy as np
n = 14 # number of sites
fc = fermionchain.Spinful_Fermionic_Chain(n)
# first neighbor hopping
h = 0
for i in range(n-1):
h = h + fc.Cdagup[i]*fc.Cup[i+1]... | 1,099 | 21.44898 | 95 | py |
dmrgpy | dmrgpy-master/examples/fidelity/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
n = 6
spins = ["S=1/2" for i in range(n)] # spin 1/2 heisenberg chain
sc = spinchain.Spin_Chain(spins) # create the spin chain
# fidelity of the transverse field... | 859 | 19.47619 | 66 | py |
dmrgpy | dmrgpy-master/examples/power_vev/main.py | # Add the root path of the dmrgpy library
import os ; import sys ; sys.path.append(os.getcwd()+'/../../src')
import numpy as np
from dmrgpy import spinchain
n = 15 # number of sites in your chain
spins = ["S=1/2" for i in range(n)] # create the sites
sc = spinchain.Spin_Chain(spins) # create the chain
sc.itensor_vers... | 1,179 | 20.851852 | 75 | py |
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