How to use set_python_info method in tox

Best Python code snippet using tox_python

process_base.py

Source:process_base.py Github

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...171 if deltaR < jet_user_info.closest_jet_deltaR:172 jet_user_info.closest_jet = jet_match173 jet_user_info.closest_jet_deltaR = deltaR174 175 jet.set_python_info(jet_user_info)176 #---------------------------------------------------------------177 # Set accepted jet matches for pp case178 #179 # hname is the name of a matching QA histogram that will be created180 # it can be anything you want, e.g. 'hJetMatchingQA_R{}'.format(jetR)181 #---------------------------------------------------------------182 def set_matches_pp(self, jet_det, hname):183 # Create pp matching QA histogram, if not already created184 if hname and not hasattr(self, hname):185 bin_labels = ['all', 'has_matching_candidate', 'unique_match']186 nbins = len(bin_labels)187 h = ROOT.TH2F(hname, hname, nbins, 0, nbins, 30, 0., 300.)188 for i in range(1, nbins+1):189 h.GetXaxis().SetBinLabel(i,bin_labels[i-1])190 setattr(self, hname, h)191 192 if hname:193 h = getattr(self, hname)194 h.Fill('all', jet_det.pt(), 1)195 196 if jet_det.has_user_info():197 198 jet_info_det = jet_det.python_info()199 if hname:200 h.Fill('has_matching_candidate', jet_det.pt(), 1)201 202 if len(jet_info_det.matching_candidates) == 1:203 jet_truth = jet_info_det.closest_jet204 205 # Check that the match is unique206 if jet_truth.has_user_info():207 jet_info_truth = jet_truth.python_info()208 if len(jet_info_truth.matching_candidates) == 1:209 210 # Set accepted match211 jet_info_det.match = jet_truth212 jet_det.set_python_info(jet_info_det)213 if hname:214 h.Fill('unique_match', jet_det.pt(), 1)215 #---------------------------------------------------------------216 # Set accepted jet matches for Pb-Pb case217 #218 # hname is the name of a matching QA histogram that will be created219 # it can be anything you want, e.g. 'hJetMatchingQA_R{}'.format(jetR)220 #---------------------------------------------------------------221 def set_matches_AA(self, jet_det_combined, jetR, hname):222 223 set_match = False224 225 # Create Pb-Pb matching QA histogram, if not already created226 if not hasattr(self, hname):227 bin_labels = ['all', 'has_matching_ppdet_candidate', 'has_matching_pptrue_candidate', 'has_matching_pptrue_unique_candidate', 'mc_fraction', 'deltaR_combined-truth', 'passed_all_cuts']228 nbins = len(bin_labels)229 h = ROOT.TH2F(hname, hname, nbins, 0, nbins, 30, 0., 300.)230 for i in range(1, nbins+1):231 h.GetXaxis().SetBinLabel(i,bin_labels[i-1])232 setattr(self, hname, h)233 234 h = getattr(self, hname)235 h.Fill('all', jet_det_combined.pt(), 1)236 # Check if combined jet has a pp-det match (uniqueness not currently enforced)237 if jet_det_combined.has_user_info():238 239 h.Fill('has_matching_ppdet_candidate', jet_det_combined.pt(), 1)240 jet_info_combined = jet_det_combined.python_info()241 jet_pp_det = jet_info_combined.closest_jet242 243 # Check if the pp-det jet has a pp-truth match244 if jet_pp_det.has_user_info():245 246 jet_info_pp_det = jet_pp_det.python_info()247 jet_pp_truth = jet_info_pp_det.closest_jet248 h.Fill('has_matching_pptrue_candidate', jet_det_combined.pt(), 1)249 set_match = True250 251 # Check that pp-det to pp-true match is unique252 if self.is_match_unique(jet_pp_det):253 h.Fill('has_matching_pptrue_unique_candidate', jet_det_combined.pt(), 1)254 else:255 set_match = False256 257 # Check matching distance between combined jet and pp-truth258 if jet_det_combined.delta_R(jet_pp_truth) < self.jet_matching_distance*jetR:259 h.Fill('deltaR_combined-truth', jet_det_combined.pt(), 1)260 else:261 set_match = False262 263 # Check if >50% of the pp-det tracks are in the Pb-Pb det jet264 mc_fraction = self.mc_fraction(jet_pp_det, jet_det_combined)265 if mc_fraction > self.mc_fraction_threshold:266 h.Fill('mc_fraction', jet_det_combined.pt(), 1)267 else:268 set_match = False269 270 # Set accepted match271 if set_match:272 jet_info_combined.match = jet_pp_truth273 jet_det_combined.set_python_info(jet_info_combined)274 275 # Set also the pp-truth match info, since we will need to access the matching pp-det jet for prong matching276 jet_info_pp_truth = jet_pp_truth.python_info()277 jet_info_pp_truth.match = jet_pp_det278 jet_pp_truth.set_python_info(jet_info_pp_truth)279 280 h.Fill('passed_all_cuts', jet_det_combined.pt(), 1)281 #---------------------------------------------------------------282 # Set accepted jet matches for truth+background (i.e. no det-level)283 #284 # hname is the name of a matching QA histogram that will be created285 # it can be anything you want, e.g. 'hJetMatchingQA_R{}'.format(jetR)286 #---------------------------------------------------------------287 def set_matches_AA_truth(self, jet_combined, jetR, hname):288 289 set_match = False290 291 # Create Pb-Pb matching QA histogram, if not already created292 if not hasattr(self, hname):293 bin_labels = ['all', 'has_matching_candidate', 'has_matching_unique_candidate', 'mc_fraction', 'deltaR_combined-truth', 'passed_all_cuts']294 nbins = len(bin_labels)295 h = ROOT.TH2F(hname, hname, nbins, 0, nbins, 30, 0., 300.)296 for i in range(1, nbins+1):297 h.GetXaxis().SetBinLabel(i,bin_labels[i-1])298 setattr(self, hname, h)299 300 h = getattr(self, hname)301 h.Fill('all', jet_combined.pt(), 1)302 # Check if combined jet has a pp-det match (uniqueness not currently enforced)303 if jet_combined.has_user_info():304 305 h.Fill('has_matching_candidate', jet_combined.pt(), 1)306 jet_info_combined = jet_combined.python_info()307 jet_truth = jet_info_combined.closest_jet308 set_match = True309 310 # Check that match is unique311 if self.is_match_unique(jet_truth):312 h.Fill('has_matching_unique_candidate', jet_combined.pt(), 1)313 else:314 set_match = False315 316 # Check matching distance between combined jet and pp-truth317 if jet_combined.delta_R(jet_truth) < self.jet_matching_distance*jetR:318 h.Fill('deltaR_combined-truth', jet_combined.pt(), 1)319 else:320 set_match = False321 # Check if >50% of the pp-truth tracks are in the combined jet322 mc_fraction = self.mc_fraction(jet_truth, jet_combined)323 if mc_fraction > self.mc_fraction_threshold:324 h.Fill('mc_fraction', jet_combined.pt(), 1)325 else:326 set_match = False327 328 # Set accepted match329 if set_match:330 jet_info_combined.match = jet_truth331 jet_combined.set_python_info(jet_info_combined)332 h.Fill('passed_all_cuts', jet_combined.pt(), 1)333 #---------------------------------------------------------------334 # Return pt-fraction of tracks in jet_pp_det that are contained in jet_det_combined335 #---------------------------------------------------------------336 def mc_fraction(self, jet_pp_det, jet_det_combined):337 338 pt_total = jet_pp_det.pt()339 340 pt_contained = 0.341 for track in jet_det_combined.constituents():342 if track.user_index() >= 0:343 pt_contained += track.pt()344 345 return pt_contained/pt_total...

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env.py

Source:env.py Github

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...107 data["bazel"]["env.USE_BAZEL_VERSION"] = os.environ.get("USE_BAZEL_VERSION", "N/A")108 self._try_collect(collector=BazelInfoCollector(),109 action=set_bazel_info,110 not_found_message="'bazel' not installed")111 def set_python_info(python_info):112 data["python"]["path"] = str(python_info.path)113 data["python"]["version"] = str(python_info.version)114 self._try_collect(collector=PythonInfoCollector(),115 action=set_python_info,116 not_found_message="'python' not installed")117 return Snapshot(data)118 def _try_collect(self, collector, action, not_found_message="No data collected"):119 try:120 result = collector.collect(self.ctx)121 if result is not None:122 action(result)123 else:124 self.ctx.logger.warn(not_found_message)125 except Exception as err:...

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