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How to use set_python_info method in tox

Best Python code snippet using tox_python

process_base.py

Source:process_base.py

...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...

env.py

Source:env.py

...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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