v0.10.0.md

@@ -147,4 +147,38 @@ Meaning now assertion errors are raised.
 
 ## Test
 
+```python
+>>> from pesummary.io import read
+>>> f = read("EXP13.hdf5")
+>>> print(f)
+file: EXP13.hdf5
+cls: pesummary.gw.file.formats.lalinference.LALInference
+nsamples: 8020
+parameters: H1_matched_filter_abs_snr, H1_matched_filter_snr_angle, ..., chain_log_noise_evidence, chain_log_bayes_factor
+>>> type(f)
+<class 'pesummary.gw.file.formats.lalinference.LALInference'>
+>>> len(f.samples_dict["chirp_mass"])
+8020
+>>> print(f.parameters)
+['H1_matched_filter_abs_snr', 'H1_matched_filter_snr_angle', 'H1_optimal_snr', 'H1_spcal_amp_0', 'H1_spcal_amp_1', 'H1_spcal_amp_2', 'H1_spcal_amp_3', 'H1_spcal_amp_4', 'H1_spcal_amp_5', 'H1_spcal_amp_6', 'H1_spcal_amp_7', 'H1_spcal_amp_8', 'H1_spcal_amp_9', 'H1_spcal_phase_0', 'H1_spcal_phase_1', 'H1_spcal_phase_2', 'H1_spcal_phase_3', 'H1_spcal_phase_4', 'H1_spcal_phase_5', 'H1_spcal_phase_6', 'H1_spcal_phase_7', 'H1_spcal_phase_8', 'H1_spcal_phase_9', 'L1_matched_filter_abs_snr', 'L1_matched_filter_snr_angle', 'L1_optimal_snr', 'L1_spcal_amp_0', 'L1_spcal_amp_1', 'L1_spcal_amp_2', 'L1_spcal_amp_3', 'L1_spcal_amp_4', 'L1_spcal_amp_5', 'L1_spcal_amp_6', 'L1_spcal_amp_7', 'L1_spcal_amp_8', 'L1_spcal_amp_9', 'L1_spcal_phase_0', 'L1_spcal_phase_1', 'L1_spcal_phase_2', 'L1_spcal_phase_3', 'L1_spcal_phase_4', 'L1_spcal_phase_5', 'L1_spcal_phase_6', 'L1_spcal_phase_7', 'L1_spcal_phase_8', 'L1_spcal_phase_9', 'V1_matched_filter_abs_snr', 'V1_matched_filter_snr_angle', 'V1_optimal_snr', 'V1_spcal_amp_0', 'V1_spcal_amp_1', 'V1_spcal_amp_2', 'V1_spcal_amp_3', 'V1_spcal_amp_4', 'V1_spcal_amp_5', 'V1_spcal_amp_6', 'V1_spcal_amp_7', 'V1_spcal_amp_8', 'V1_spcal_amp_9', 'V1_spcal_phase_0', 'V1_spcal_phase_1', 'V1_spcal_phase_2', 'V1_spcal_phase_3', 'V1_spcal_phase_4', 'V1_spcal_phase_5', 'V1_spcal_phase_6', 'V1_spcal_phase_7', 'V1_spcal_phase_8', 'V1_spcal_phase_9', 'azimuth', 'deltalogl', 'log_likelihood', 'loglH1', 'loglL1', 'loglV1', 'logpost', 'log_prior', 'network_matched_filter_snr', 'nullLogL', 'network_optimal_snr', 'phase', 'phi_12', 'phi_jl', 'mass_ratio', 't0', 'temperature', 'geocent_time', 'nLocalTemps', 'randomSeed', 'ra', 'dec', 'luminosity_distance', 'psi', 'chirp_mass', 'a_1', 'a_2', 'tilt_1', 'tilt_2', 'alpha', 'theta_jn', 'chain_log_evidence', 'chain_delta_log_evidence', 'chain_log_noise_evidence', 'chain_log_bayes_factor']
+```
+
+Consequently, we have confirmed the class name, number of samples and list of parameters displayed in the file summary. To test the file path, we do the following:
+
+```python
+>>> from pesummary.io import read
+>>> f = read("./dir1/EXP13.hdf5")
+>>> print(f)
+file: ./dir1/EXP13.hdf5
+cls: pesummary.gw.file.formats.lalinference.LALInference
+nsamples: 8020
+parameters: H1_matched_filter_abs_snr, H1_matched_filter_snr_angle, ..., chain_log_noise_evidence, chain_log_bayes_factor
+>>> f = read("./dir1/dir2/EXP13.hdf5")
+>>> print(f)
+file: ./dir1/dir2/EXP13.hdf5
+cls: pesummary.gw.file.formats.lalinference.LALInference
+nsamples: 8020
+parameters: H1_matched_filter_abs_snr, H1_matched_filter_snr_angle, ..., chain_log_noise_evidence, chain_log_bayes_factor
+```
+
 # Reviewer comments
\ No newline at end of file