diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index f1dcce68..03ca7c23 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -13,7 +13,7 @@ jobs: - name: Set up Python environment uses: actions/setup-python@v5 with: - python-version: "3.12" + python-version: "3.10" - uses: actions/checkout@v4 - name: Updated documentation run: | diff --git a/.github/workflows/flake8.yml b/.github/workflows/flake8.yml index a80fb559..c6625b37 100644 --- a/.github/workflows/flake8.yml +++ b/.github/workflows/flake8.yml @@ -17,7 +17,7 @@ jobs: - name: Set up Python environment uses: actions/setup-python@v5 with: - python-version: "3.12" + python-version: "3.10" - name: flake8 Lint uses: py-actions/flake8@v2 with: diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml index 1889b290..af98e210 100644 --- a/.github/workflows/pytest.yml +++ b/.github/workflows/pytest.yml @@ -17,7 +17,7 @@ jobs: fail-fast: false matrix: os: [ubuntu-latest] - python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] + python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] include: - os: macos-latest python-version: "3.12" @@ -42,10 +42,5 @@ jobs: uv pip install pytest pytest-cov pytest-benchmark hypothesis --system uv pip freeze --system - - name: Run tests with -Werror - if: matrix.python-version != '3.14' + - name: Run tests run: pytest --cov=pyerrors -vv -Werror - - - name: Run tests without -Werror for python 3.14 - if: matrix.python-version == '3.14' - run: pytest --cov=pyerrors -vv diff --git a/CHANGELOG.md b/CHANGELOG.md index 7012e6ec..42dd7bc9 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,17 +2,6 @@ All notable changes to this project will be documented in this file. -## [2.16.0] - 2025-10-30 - -### Added -- Support for custom configuration number extraction in the sfcf input module. - -### Fixed -- Calculation of expected chisquare in connection with priors. - -### Changed -- Support for python<3.10 was dropped. - ## [2.15.1] - 2025-10-19 ### Fixed diff --git a/README.md b/README.md index 64f1fd96..7937da4d 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -[![](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![arXiv](https://img.shields.io/badge/arXiv-2209.14371-b31b1b.svg)](https://arxiv.org/abs/2209.14371) [![DOI](https://img.shields.io/badge/DOI-10.1016%2Fj.cpc.2023.108750-blue)](https://doi.org/10.1016/j.cpc.2023.108750) +[![](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![arXiv](https://img.shields.io/badge/arXiv-2209.14371-b31b1b.svg)](https://arxiv.org/abs/2209.14371) [![DOI](https://img.shields.io/badge/DOI-10.1016%2Fj.cpc.2023.108750-blue)](https://doi.org/10.1016/j.cpc.2023.108750) # pyerrors `pyerrors` is a python framework for error computation and propagation of Markov chain Monte Carlo data from lattice field theory and statistical mechanics simulations. diff --git a/pyerrors/fits.py b/pyerrors/fits.py index 62714330..3a3119b3 100644 --- a/pyerrors/fits.py +++ b/pyerrors/fits.py @@ -472,7 +472,7 @@ def least_squares(x, y, func, priors=None, silent=False, **kwargs): hat_vector = prepare_hat_matrix() A = W @ hat_vector P_phi = A @ np.linalg.pinv(A.T @ A) @ A.T - expected_chisquare = np.trace((np.identity(y_all.shape[-1]) - P_phi) @ W @ cov @ W) + len(loc_priors) + expected_chisquare = np.trace((np.identity(y_all.shape[-1]) - P_phi) @ W @ cov @ W) output.chisquare_by_expected_chisquare = output.chisquare / expected_chisquare if not silent: print('chisquare/expected_chisquare:', output.chisquare_by_expected_chisquare) diff --git a/pyerrors/input/sfcf.py b/pyerrors/input/sfcf.py index af727b95..0431788a 100644 --- a/pyerrors/input/sfcf.py +++ b/pyerrors/input/sfcf.py @@ -5,13 +5,12 @@ import numpy as np # Thinly-wrapped numpy from ..obs import Obs from .utils import sort_names, check_idl import itertools -import warnings sep = "/" -def read_sfcf(path, prefix, name, quarks='.*', corr_type="bi", noffset=0, wf=0, wf2=0, version="1.0c", cfg_separator="n", cfg_func=None, silent=False, **kwargs): +def read_sfcf(path, prefix, name, quarks='.*', corr_type="bi", noffset=0, wf=0, wf2=0, version="1.0c", cfg_separator="n", silent=False, **kwargs): """Read sfcf files from given folder structure. Parameters @@ -72,11 +71,11 @@ def read_sfcf(path, prefix, name, quarks='.*', corr_type="bi", noffset=0, wf=0, """ ret = read_sfcf_multi(path, prefix, [name], quarks_list=[quarks], corr_type_list=[corr_type], noffset_list=[noffset], wf_list=[wf], wf2_list=[wf2], version=version, - cfg_separator=cfg_separator, cfg_func=cfg_func, silent=silent, **kwargs) + cfg_separator=cfg_separator, silent=silent, **kwargs) return ret[name][quarks][str(noffset)][str(wf)][str(wf2)] -def read_sfcf_multi(path, prefix, name_list, quarks_list=['.*'], corr_type_list=['bi'], noffset_list=[0], wf_list=[0], wf2_list=[0], version="1.0c", cfg_separator="n", cfg_func=None, silent=False, keyed_out=False, **kwargs): +def read_sfcf_multi(path, prefix, name_list, quarks_list=['.*'], corr_type_list=['bi'], noffset_list=[0], wf_list=[0], wf2_list=[0], version="1.0c", cfg_separator="n", silent=False, keyed_out=False, **kwargs): """Read sfcf files from given folder structure. Parameters @@ -246,16 +245,6 @@ def read_sfcf_multi(path, prefix, name_list, quarks_list=['.*'], corr_type_list= for key in needed_keys: internal_ret_dict[key] = [] - def _default_idl_func(cfg_string, cfg_sep): - return int(cfg_string.split(cfg_sep)[-1]) - - if cfg_func is None: - print("Default idl function in use.") - cfg_func = _default_idl_func - cfg_func_args = [cfg_separator] - else: - cfg_func_args = kwargs.get("cfg_func_args", []) - if not appended: for i, item in enumerate(ls): rep_path = path + '/' + item @@ -279,7 +268,7 @@ def read_sfcf_multi(path, prefix, name_list, quarks_list=['.*'], corr_type_list= for cfg in sub_ls: try: if compact: - rep_idl.append(cfg_func(cfg, *cfg_func_args)) + rep_idl.append(int(cfg.split(cfg_separator)[-1])) else: rep_idl.append(int(cfg[3:])) except Exception: @@ -362,7 +351,7 @@ def read_sfcf_multi(path, prefix, name_list, quarks_list=['.*'], corr_type_list= for rep, file in enumerate(name_ls): rep_idl = [] filename = path + '/' + file - T, rep_idl, rep_data = _read_append_rep(filename, pattern, intern[name]['b2b'], im, intern[name]['single'], cfg_func, cfg_func_args) + T, rep_idl, rep_data = _read_append_rep(filename, pattern, intern[name]['b2b'], cfg_separator, im, intern[name]['single']) if rep == 0: intern[name]['T'] = T for t in range(intern[name]['T']): @@ -592,7 +581,12 @@ def _read_compact_rep(path, rep, sub_ls, intern, needed_keys, im): return return_vals -def _read_chunk_data(chunk, start_read, T, corr_line, b2b, pattern, im, single): +def _read_chunk(chunk, gauge_line, cfg_sep, start_read, T, corr_line, b2b, pattern, im, single): + try: + idl = int(chunk[gauge_line].split(cfg_sep)[-1]) + except Exception: + raise Exception("Couldn't parse idl from directory, problem with chunk around line ", gauge_line) + found_pat = "" data = [] for li in chunk[corr_line + 1:corr_line + 6 + b2b]: @@ -601,90 +595,46 @@ def _read_chunk_data(chunk, start_read, T, corr_line, b2b, pattern, im, single): for t, line in enumerate(chunk[start_read:start_read + T]): floats = list(map(float, line.split())) data.append(floats[im + 1 - single]) - return data + return idl, data -def _check_append_rep(content, start_list): - data_len_list = [] - header_len_list = [] - has_regular_len_heads = True - for chunk_num in range(len(start_list)): - start = start_list[chunk_num] - if chunk_num == len(start_list) - 1: - stop = len(content) - else: - stop = start_list[chunk_num + 1] - chunk = content[start:stop] - for linenumber, line in enumerate(chunk): - if line.startswith("[correlator]"): - header_len = linenumber - break - header_len_list.append(header_len) - data_len_list.append(len(chunk) - header_len) - - if len(set(header_len_list)) > 1: - warnings.warn("Not all headers have the same length. Data parts do.") - has_regular_len_heads = False - - if len(set(data_len_list)) > 1: - raise Exception("Irregularities in file structure found, not all run data are of the same output length") - return has_regular_len_heads - - -def _read_chunk_structure(chunk, pattern, b2b): - start_read = 0 - for linenumber, line in enumerate(chunk): - if line.startswith("gauge_name"): - gauge_line = linenumber - elif line.startswith("[correlator]"): - corr_line = linenumber - found_pat = "" - for li in chunk[corr_line + 1: corr_line + 6 + b2b]: - found_pat += li - if re.search(pattern, found_pat): - start_read = corr_line + 7 + b2b - break - if start_read == 0: - raise ValueError("Did not find pattern\n", pattern) - endline = corr_line + 6 + b2b - while not chunk[endline] == "\n": - endline += 1 - T = endline - start_read - return gauge_line, corr_line, start_read, T - - -def _read_append_rep(filename, pattern, b2b, im, single, idl_func, cfg_func_args): +def _read_append_rep(filename, pattern, b2b, cfg_separator, im, single): with open(filename, 'r') as fp: content = fp.readlines() - chunk_start_lines = [] + data_starts = [] for linenumber, line in enumerate(content): if "[run]" in line: - chunk_start_lines.append(linenumber) - has_regular_len_heads = _check_append_rep(content, chunk_start_lines) - if has_regular_len_heads: - chunk = content[:chunk_start_lines[1]] - try: - gauge_line, corr_line, start_read, T = _read_chunk_structure(chunk, pattern, b2b) - except ValueError: - raise ValueError("Did not find pattern\n", pattern, "\nin\n", filename, "lines", 1, "to", chunk_start_lines[1] + 1) - # if has_regular_len_heads is true, all other chunks should follow the same structure + data_starts.append(linenumber) + if len(set([data_starts[i] - data_starts[i - 1] for i in range(1, len(data_starts))])) > 1: + raise Exception("Irregularities in file structure found, not all runs have the same output length") + chunk = content[:data_starts[1]] + for linenumber, line in enumerate(chunk): + if line.startswith("gauge_name"): + gauge_line = linenumber + elif line.startswith("[correlator]"): + corr_line = linenumber + found_pat = "" + for li in chunk[corr_line + 1: corr_line + 6 + b2b]: + found_pat += li + if re.search(pattern, found_pat): + start_read = corr_line + 7 + b2b + break + else: + raise ValueError("Did not find pattern\n", pattern, "\nin\n", filename) + endline = corr_line + 6 + b2b + while not chunk[endline] == "\n": + endline += 1 + T = endline - start_read + + # all other chunks should follow the same structure rep_idl = [] rep_data = [] - for chunk_num in range(len(chunk_start_lines)): - start = chunk_start_lines[chunk_num] - if chunk_num == len(chunk_start_lines) - 1: - stop = len(content) - else: - stop = chunk_start_lines[chunk_num + 1] + for cnfg in range(len(data_starts)): + start = data_starts[cnfg] + stop = start + data_starts[1] chunk = content[start:stop] - if not has_regular_len_heads: - gauge_line, corr_line, start_read, T = _read_chunk_structure(chunk, pattern, b2b) - try: - idl = idl_func(chunk[gauge_line], *cfg_func_args) - except Exception: - raise Exception("Couldn't parse idl from file", filename, ", problem with chunk of lines", start + 1, "to", stop + 1) - data = _read_chunk_data(chunk, start_read, T, corr_line, b2b, pattern, im, single) + idl, data = _read_chunk(chunk, gauge_line, cfg_separator, start_read, T, corr_line, b2b, pattern, im, single) rep_idl.append(idl) rep_data.append(data) diff --git a/pyerrors/version.py b/pyerrors/version.py index 3307a6a6..b1b26975 100644 --- a/pyerrors/version.py +++ b/pyerrors/version.py @@ -1 +1 @@ -__version__ = "2.17.0-dev" +__version__ = "2.15.1" diff --git a/setup.py b/setup.py index 066f4f99..8c42f4a6 100644 --- a/setup.py +++ b/setup.py @@ -24,18 +24,18 @@ setup(name='pyerrors', author_email='fabian.joswig@ed.ac.uk', license="MIT", packages=find_packages(), - python_requires='>=3.10.0', + python_requires='>=3.9.0', install_requires=['numpy>=2.0', 'autograd>=1.7.0', 'numdifftools>=0.9.41', 'matplotlib>=3.9', 'scipy>=1.13', 'iminuit>=2.28', 'h5py>=3.11', 'lxml>=5.0', 'python-rapidjson>=1.20', 'pandas>=2.2'], extras_require={'test': ['pytest', 'pytest-cov', 'pytest-benchmark', 'hypothesis', 'nbmake', 'flake8']}, classifiers=[ 'Development Status :: 5 - Production/Stable', 'Intended Audience :: Science/Research', 'Programming Language :: Python :: 3', + 'Programming Language :: Python :: 3.9', 'Programming Language :: Python :: 3.10', 'Programming Language :: Python :: 3.11', 'Programming Language :: Python :: 3.12', 'Programming Language :: Python :: 3.13', - 'Programming Language :: Python :: 3.14', 'Topic :: Scientific/Engineering :: Physics' ], ) diff --git a/tests/data/sfcf_test/data_ah/data_ah_r0.F_V0 b/tests/data/sfcf_test/data_ah/data_ah_r0.F_V0 deleted file mode 100644 index 63434d50..00000000 --- a/tests/data/sfcf_test/data_ah/data_ah_r0.F_V0 +++ /dev/null @@ -1,1147 +0,0 @@ -[run] - 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-[run] - -version 2.1 -date 2022-01-19 11:04:11 +0100 -host r04n07.palma.wwu -dir /scratch/tmp/j_kuhl19 -user j_kuhl19 -gauge_name /data_a_r0_n5.lex -gauge_md5 1ea28326e4090996111a320b8372811d -param_name sfcf_unity_test.in -param_md5 d881e90d41188a33b8b0f1bd0bc53ea5 -param_hash 686af5e712ee2902180f5428af94c6e7 -data_name ./output_10519905/data_af_A - -[correlator] - -name f_A -quarks lquark lquark -offset 0 -wf 0 -corr_t - 1 +6.5471188727972304e+01 -6.1214214711790100e-12 - 2 +1.0447210336915187e+00 +8.9219487930753188e-13 - 3 -4.1025094911185178e+01 -4.8315634170546161e-14 - -[correlator] - -name f_A -quarks lquark lquark -offset 0 -wf 1 -corr_t - 1 +6.5551520722862705e+01 +2.0963356863957609e-13 - 2 +1.0542820240851569e+00 +2.3989756974599379e-15 - 3 -4.1024441815729936e+01 -5.7107484666182308e-15 - -[correlator] - -name f_A -quarks lquark lquark -offset 0 -wf 2 -corr_t - 1 +6.5529951269442847e+01 -6.6512260271334321e-14 - 2 +1.0516822345055969e+00 -2.2935262162529075e-15 - 3 -4.1025142768037746e+01 +3.7566377680004518e-16 - -[correlator] - -name f_A -quarks lquark lquark -offset 1 -wf 0 -corr_t - 1 +6.5471188727965909e+01 -1.6112786177915427e-11 - 2 +1.0447210337411881e+00 -7.0387528705692678e-13 - 3 -4.1025094911167137e+01 +4.6509152745618223e-13 - -[correlator] - -name f_A -quarks lquark lquark -offset 1 -wf 1 -corr_t - 1 +6.5551520722842213e+01 -8.1976426690345305e-13 - 2 +1.0542820240843382e+00 +2.1626370477046812e-13 - 3 -4.1024441815730086e+01 -2.4147931196409923e-14 - -[correlator] - -name f_A -quarks lquark lquark -offset 1 -wf 2 -corr_t - 1 +6.5529951269443117e+01 +7.9192560386479701e-14 - 2 +1.0516822345055870e+00 -1.2443038782429568e-14 - 3 -4.1025142768037739e+01 +5.9315333178954509e-17 - diff --git a/tests/fits_test.py b/tests/fits_test.py index 3af2e51d..e906e294 100644 --- a/tests/fits_test.py +++ b/tests/fits_test.py @@ -1611,81 +1611,3 @@ def old_prior_fit(x, y, func, priors, silent=False, **kwargs): qqplot(x, y, func, result) return output - -def test_dof_prior_fit(): - """Performs an uncorrelated fit with a prior to uncorrelated data then - the expected chisquare and the usual dof need to agree""" - N = 5 - - def fitf(a, x): - return a[0] + 0 * x - - x = [1. for i in range(N)] - y = [pe.cov_Obs(i, .1, '%d' % (i)) for i in range(N)] - [o.gm() for o in y] - res = pe.fits.least_squares(x, y, fitf, expected_chisquare=True, priors=[pe.cov_Obs(3, 1, 'p')]) - assert res.chisquare_by_expected_chisquare == res.chisquare_by_dof - - num_samples = 400 - N = 10 - - x = norm.rvs(size=(N, num_samples)) # generate random numbers - - r = np.zeros((N, N)) - for i in range(N): - for j in range(N): - if(i==j): - r[i, j] = 1.0 # element in correlation matrix - - errl = np.sqrt([3.4, 2.5, 3.6, 2.8, 4.2, 4.7, 4.9, 5.1, 3.2, 4.2]) # set y errors - for i in range(N): - for j in range(N): - if(i==j): - r[i, j] *= errl[i] * errl[j] # element in covariance matrix - - c = cholesky(r, lower=True) - y = np.dot(c, x) - x = np.arange(N) - x_dict = {} - y_dict = {} - for i,item in enumerate(x): - x_dict[str(item)] = [x[i]] - - for linear in [True, False]: - data = [] - for i in range(N): - if linear: - data.append(pe.Obs([[i + 1 + o for o in y[i]]], ['ens'+str(i)])) - else: - data.append(pe.Obs([[np.exp(-(i + 1)) + np.exp(-(i + 1)) * o for o in y[i]]], ['ens'+str(i)])) - - [o.gamma_method() for o in data] - - data_dict = {} - for i,item in enumerate(x): - data_dict[str(item)] = [data[i]] - - corr = pe.covariance(data, correlation=True) - chol = np.linalg.cholesky(corr) - covdiag = np.diag(1 / np.asarray([o.dvalue for o in data])) - chol_inv = scipy.linalg.solve_triangular(chol, covdiag, lower=True) - chol_inv_keys = [""] - chol_inv_keys_combined_fit = [str(item) for i,item in enumerate(x)] - - if linear: - def fitf(p, x): - return p[1] + p[0] * x - fitf_dict = {} - for i,item in enumerate(x): - fitf_dict[str(item)] = fitf - else: - def fitf(p, x): - return p[1] * anp.exp(-p[0] * x) - fitf_dict = {} - for i,item in enumerate(x): - fitf_dict[str(item)] = fitf - - fit_exp = pe.least_squares(x, data, fitf, expected_chisquare=True, priors = {0:pe.cov_Obs(1.0, 1, 'p')}) - fit_cov = pe.least_squares(x, data, fitf, correlated_fit = True, inv_chol_cov_matrix = [chol_inv,chol_inv_keys], priors = {0:pe.cov_Obs(1.0, 1, 'p')}) - assert np.isclose(fit_exp.chisquare_by_expected_chisquare,fit_exp.chisquare_by_dof,atol=1e-8) - assert np.isclose(fit_exp.chisquare_by_expected_chisquare,fit_cov.chisquare_by_dof,atol=1e-8) \ No newline at end of file diff --git a/tests/sfcf_in_test.py b/tests/sfcf_in_test.py index 6a7b506a..60a71433 100644 --- a/tests/sfcf_in_test.py +++ b/tests/sfcf_in_test.py @@ -24,10 +24,10 @@ def build_test_environment(path, env_type, cfgs, reps): os.mkdir(path + "/data_c/data_c_r"+str(i)) for j in range(1, cfgs+1): shutil.copy(path + "/data_c/data_c_r0/data_c_r0_n1", path + "/data_c/data_c_r"+str(i)+"/data_c_r"+str(i)+"_n"+str(j)) - elif env_type in ["a", "apf", "ah"]: + elif env_type == "a": for i in range(1, reps): for corr in ["f_1", "f_A", "F_V0"]: - shutil.copy(path + "/data_" + env_type + "/data_" + env_type + "_r0." + corr, path + "/data_" + env_type + "/data_" + env_type + "_r" + str(i) + "." + corr) + shutil.copy(path + "/data_a/data_a_r0." + corr, path + "/data_a/data_a_r" + str(i) + "." + corr) def test_o_bb(tmp_path): @@ -276,28 +276,6 @@ def test_a_bb(tmp_path): assert f_1[0].value == 351.1941525454502 -def test_a_bb_external_idl_func(tmp_path): - build_test_environment(str(tmp_path), "a", 5, 3) - def extract_idl(s: str) -> int: - return int(s.split("n")[-1]) - f_1 = sfin.read_sfcf(str(tmp_path) + "/data_a", "data_a", "f_1", quarks="lquark lquark", wf=0, wf2=0, version="2.0a", corr_type="bb", cfg_func=extract_idl) - print(f_1) - assert len(f_1) == 1 - assert list(f_1[0].shape.keys()) == ["data_a_|r0", "data_a_|r1", "data_a_|r2"] - assert f_1[0].value == 351.1941525454502 - - -def test_a_bb_external_idl_func_postfix(tmp_path): - build_test_environment(str(tmp_path), "apf", 5, 3) - def extract_idl(s: str) -> int: - return int(s.split("n")[-1][:-5]) - f_1 = sfin.read_sfcf(str(tmp_path) + "/data_apf", "data_apf", "f_1", quarks="lquark lquark", wf=0, wf2=0, version="2.0a", corr_type="bb", cfg_func=extract_idl) - print(f_1) - assert len(f_1) == 1 - assert list(f_1[0].shape.keys()) == ["data_apf_|r0", "data_apf_|r1", "data_apf_|r2"] - assert f_1[0].value == 351.1941525454502 - - def test_a_bi(tmp_path): build_test_environment(str(tmp_path), "a", 5, 3) f_A = sfin.read_sfcf(str(tmp_path) + "/data_a", "data_a", "f_A", quarks="lquark lquark", wf=0, version="2.0a") @@ -309,32 +287,6 @@ def test_a_bi(tmp_path): assert f_A[2].value == -41.025094911185185 -def test_a_bi_external_idl_func(tmp_path): - build_test_environment(str(tmp_path), "a", 5, 3) - def extract_idl(s: str) -> int: - return int(s.split("n")[-1]) - f_A = sfin.read_sfcf(str(tmp_path) + "/data_a", "data_a", "f_A", quarks="lquark lquark", wf=0, version="2.0a", cfg_func=extract_idl) - print(f_A) - assert len(f_A) == 3 - assert list(f_A[0].shape.keys()) == ["data_a_|r0", "data_a_|r1", "data_a_|r2"] - assert f_A[0].value == 65.4711887279723 - assert f_A[1].value == 1.0447210336915187 - assert f_A[2].value == -41.025094911185185 - - -def test_a_bi_external_idl_func_postfix(tmp_path): - build_test_environment(str(tmp_path), "apf", 5, 3) - def extract_idl(s: str) -> int: - return int(s.split("n")[-1][:-5]) - f_A = sfin.read_sfcf(str(tmp_path) + "/data_apf", "data_apf", "f_A", quarks="lquark lquark", wf=0, version="2.0a", cfg_func=extract_idl) - print(f_A) - assert len(f_A) == 3 - assert list(f_A[0].shape.keys()) == ["data_apf_|r0", "data_apf_|r1", "data_apf_|r2"] - assert f_A[0].value == 65.4711887279723 - assert f_A[1].value == 1.0447210336915187 - assert f_A[2].value == -41.025094911185185 - - def test_a_bi_files(tmp_path): build_test_environment(str(tmp_path), "a", 5, 3) f_A = sfin.read_sfcf(str(tmp_path) + "/data_a", "data_a", "f_A", quarks="lquark lquark", wf=0, version="2.0a", files=["data_a_r0.f_A", "data_a_r1.f_A", "data_a_r2.f_A"]) @@ -364,55 +316,6 @@ def test_a_bib(tmp_path): assert f_V0[2] == 683.6776090081005 -def test_a_bib_external_idl_func(tmp_path): - build_test_environment(str(tmp_path), "a", 5, 3) - def extract_idl(s: str) -> int: - return int(s.split("n")[-1]) - f_V0 = sfin.read_sfcf(str(tmp_path) + "/data_a", "data_a", "F_V0", quarks="lquark lquark", wf=0, wf2=0, version="2.0a", corr_type="bib", cfg_func=extract_idl) - print(f_V0) - assert len(f_V0) == 3 - assert list(f_V0[0].shape.keys()) == ["data_a_|r0", "data_a_|r1", "data_a_|r2"] - assert f_V0[0] == 683.6776090085115 - assert f_V0[1] == 661.3188585582334 - assert f_V0[2] == 683.6776090081005 - -def test_a_bib_external_idl_func_postfix(tmp_path): - build_test_environment(str(tmp_path), "apf", 5, 3) - def extract_idl(s: str) -> int: - return int(s.split("n")[-1][:-5]) - f_V0 = sfin.read_sfcf(str(tmp_path) + "/data_apf", "data_apf", "F_V0", quarks="lquark lquark", wf=0, wf2=0, version="2.0a", corr_type="bib", cfg_func=extract_idl) - print(f_V0) - assert len(f_V0) == 3 - assert list(f_V0[0].shape.keys()) == ["data_apf_|r0", "data_apf_|r1", "data_apf_|r2"] - assert f_V0[0] == 683.6776090085115 - assert f_V0[1] == 661.3188585582334 - assert f_V0[2] == 683.6776090081005 - - -def test_a_bib_irreg_header(tmp_path): - build_test_environment(str(tmp_path), "ah", 5, 3) - with pytest.warns(UserWarning): - f_V0 = sfin.read_sfcf(str(tmp_path) + "/data_ah", "data_ah", "F_V0", quarks="lquark lquark", wf=0, wf2=0, version="2.0a", corr_type="bib") - print(f_V0) - assert len(f_V0) == 3 - assert list(f_V0[0].shape.keys()) == ["data_ah_|r0", "data_ah_|r1", "data_ah_|r2"] - assert f_V0[0] == 683.6776090085115 - assert f_V0[1] == 661.3188585582334 - assert f_V0[2] == 683.6776090081005 - - -def test_a_bi_irreg_header(tmp_path): - build_test_environment(str(tmp_path), "ah", 5, 3) - with pytest.warns(UserWarning): - f_A = sfin.read_sfcf(str(tmp_path) + "/data_ah", "data_ah", "f_A", quarks="lquark lquark", wf=0, version="2.0a", corr_type="bi") - print(f_A) - assert len(f_A) == 3 - assert list(f_A[0].shape.keys()) == ["data_ah_|r0", "data_ah_|r1", "data_ah_|r2"] - assert f_A[0].value == 65.4711887279723 - assert f_A[1].value == 1.0447210336915187 - assert f_A[2].value == -41.025094911185185 - - def test_simple_multi_a(tmp_path): build_test_environment(str(tmp_path), "a", 5, 3) corrs = sfin.read_sfcf_multi(str(tmp_path) + "/data_a", "data_a", ["F_V0"], quarks_list=["lquark lquark"], wf1_list=[0], wf2_list=[0], version="2.0a", corr_type_list=["bib"])