def group_assignmentgroups(assignment_groups):
dict = OrderedDict()
for group in assignment_groups:
if not dict.has_key(group.parentnode.parentnode.parentnode):
subject = Subject(group.parentnode.parentnode.parentnode.short_name)
dict[group.parentnode.parentnode.parentnode] = subject
dict[group.parentnode.parentnode.parentnode].add_period(group)
return dict.values()
def group_assignmentgroups(assignment_groups):
dict = OrderedDict()
for group in assignment_groups:
if not dict.has_key(group.parentnode.parentnode.parentnode):
subject = Subject(
group.parentnode.parentnode.parentnode.short_name)
dict[group.parentnode.parentnode.parentnode] = subject
dict[group.parentnode.parentnode.parentnode].add_period(group)
return dict.values()
def __init__(self, name=None):
"""Initialize a new System object. This must be run before the system can be used.
Args:
name (str): The name of the system
>>> print __init__(name='sysname')
"""
if name:
self._name = name
else:
self._name = "Untitled"
self._v1x = 0.0
self._v2x = 0.0
self._v3x = 0.0
self._v1y = 0.0
self._v2y = 0.0
self._v3y = 0.0
self._v1z = 0.0
self._v2z = 0.0
self._v3z = 0.0
self._nbFunc = 0
self._combinationRule = 0
self._genpairs = True
self._ljCorrection = 0
self._coulombCorrection = 0
self._molecules = OrderedDict.OrderedDict()
self._atomtypes = HashMap.HashMap()
self._forces = OrderedSet.OrderedSet()
self._boxVector = []
def co_render (a_co):
"""
Transforma un concentador en un OrderedDict para luego ser
convertido en html
"""
d = OrderedDict.OrderedDict()
d['h1'] = 'Concentrador %d' %co.id
d['']
def main():
if len(sys.argv) < 4:
usage()
sys.exit(0)
NewJSONName = sys.argv[1]
OldJSONName = sys.argv[2]
NewJSON = selectionParser(open(sys.argv[1]).read()).runsandls()
OldJSON = selectionParser(open(sys.argv[2]).read()).runsandls()
TrigFolder = sys.argv[3]
KeyQuery = """
SELECT A.TRIGGERMODE, B.HLT_KEY, B.GT_RS_KEY, B.TSC_KEY, C.CONFIGID, D.GT_KEY FROM
CMS_WBM.RUNSUMMARY A, CMS_L1_HLT.L1_HLT_CONF B, CMS_HLT.CONFIGURATIONS C, CMS_TRG_L1_CONF.TRIGGERSUP_CONF D WHERE
B.ID = A.TRIGGERMODE AND C.CONFIGDESCRIPTOR = B.HLT_KEY AND D.TS_Key = B.TSC_Key AND A.RUNNUMBER=%d
"""
JSONS = {}
for run in sorted(NewJSON.iterkeys()):
if OldJSON.has_key(run):
continue # skip already processed runs
LSs = NewJSON[run]
print "Processing Run: %d" % (run,)
parser = DatabaseParser.DatabaseParser()
parser.RunNumber = run
parser.ParseRunSetup()
PrescaleTable = CheckPrescales.GetPrescaleTable(parser.HLT_Key,parser.GT_Key,parser.GTRS_Key,[],False)
for HLT,Prescales in PrescaleTable.iteritems():
HLTNoV = DatabaseParser.StripVersion(HLT)
oldpath = TrigFolder + "/" + HLTNoV + "_" + OldJSONName
if not JSONS.has_key(HLTNoV):
if os.path.exists(oldpath):
JSONS[HLTNoV] = json.load(open(oldpath))
else:
JSONS[HLTNoV] = {}
tmpLSRange = []
for ls in LSs:
if Prescales[parser.PSColumnByLS[ls]] == 1:
tmpLSRange.append(ls)
JSONS[HLTNoV][str(run)] = truncateRange(tmpLSRange)
if not os.path.exists(TrigFolder):
os.system("mkdir -p %s" % (TrigFolder,))
for name in JSONS.iterkeys():
thisJSON = JSONS[name]
sortedJSON = OrderedDict.OrderedDict()
for key in sorted(thisJSON.iterkeys()):
sortedJSON[key] = thisJSON[key]
newpath = TrigFolder + "/" + DatabaseParser.StripVersion(name) + "_" + NewJSONName
#print "Writing %s" % (newpath,)
out = open(newpath,'w')
out.write(json.dumps(sortedJSON))
#out.write(str(oldJSON))
out.close()
def get_error_constraints_by_max_percentage_error(qoi_ref,qoi_pct_err):
assert isinstance(qoi_ref,OrderedDict)
_qoi_pct_err = OrderedDict()
if isinstance(qoi_pct_err,OrderedDict):
_qoi_pct_err = OrderedDict(qoi_pct_err)
elif type(qoi_pct_err) in [int,float]:
for qn,qv in qoi_ref.items():
_qoi_pct_err[qn] = qoi_pct_err
else:
err_msg = "qoi_pct_err must either be OrderedDict or a numeric value"
raise ValueError(err_msg)
_error_constraints = OrderedDict()
for qn,qv in qoi_ref.items():
_qce = _qoi_pct_err[qn]
_error_constraints[qn] = ['<',abs(qv) * _qce]
return _error_constraints
class Subject(object):
def __init__(self, name):
self.periods = OrderedDict()
self.name = name
def __str__(self):
return self.name
def add_period(self, assignment_group):
if not self.periods.has_key(assignment_group.parentnode.parentnode):
period = Period(assignment_group.parentnode.parentnode.short_name)
self.periods[assignment_group.parentnode.parentnode] = period
self.periods[assignment_group.parentnode.parentnode].add_assignment(assignment_group)
def __iter__(self):
return iter(self.periods.values())
class Subject(object):
def __init__(self, name):
self.periods = OrderedDict()
self.name = name
def __str__(self):
return self.name
def add_period(self, assignment_group):
if not self.periods.has_key(assignment_group.parentnode.parentnode):
period = Period(assignment_group.parentnode.parentnode.short_name)
self.periods[assignment_group.parentnode.parentnode] = period
self.periods[assignment_group.parentnode.parentnode].add_assignment(
assignment_group)
def __iter__(self):
return iter(self.periods.values())
def __init__(self, path):
'''constructor
get information from the theme located in path
'''
self.path = None
# if you add a smilie key twice you will have a nice stack overflow :D
self.emotes = OrderedDict()
self.emote_files = []
self.emote_regex_str= ""
self.emote_regex = None
self.load_information(path)
def find_and_render(cls, path):
result = {}
try:
filepaths = cls.find_relevant_files(path)
except:
# This is ok, no tabs when multiple returned.
return None
if filepaths:
for filepath in filepaths:
title = settings.FILES_MAP[os.path.basename(filepath)]
result[title] = cls.render_file(filepath)
if not filepaths and len(result) == 0:
return None
result_items = sorted(result.items(), cmp=cls.sort_tabs_by_priority)
result = OrderedDict.OrderedDict()
for v, k in result_items:
result[v] = k
return result
# These properties are put in a panel where you can tune the properties of your
# source. The first element of each tuple is the name of the variable available
# in your python script, the second is the default value.
# Top-level tuples are propertygroups. One level below is a list of dictionaries for the elements
# Names are converted to labels by '_' > ' ' and uppercasing the first letter
Properties = OrderedDict([
# Which variables to read from the file
('variables',
ArraySelectionDomain([
('Psi', 1),
('u', 1),
('j', 1),
('w', 1),
('rho', 1),
('T', 1),
])),
('interpolation_options',
PropertyGroup([
('number_of_subdivisions', dict(value=3, min=2, max=6)),
('quadratic', False),
])),
])
# from paraview import vtk is done automatically in the reader
def RequestData(self):
"""Create a VTK output given the list of filenames and the current timestep.
This script can access self and FileNames and should return an output of type
OutputDataType above"""
def __setitem__(self, key, value):
OrderedDict.__setitem__(self, key, value)
self._check_size_limit()
def __init__(self, *args, **kwds):
self.size_limit = kwds.pop("size_limit", None)
OrderedDict.__init__(self, *args, **kwds)
self._check_size_limit()
def __init__(self, name):
self.periods = OrderedDict()
self.name = name
m collections import OrderedDict
dict = OrderedDict()
n = int(input())
l = [input().rpartition(' ') for i in range(n)]
for item, space, quant in l:
dict[item] = dict[item] + int(quant) if item in dict else int(quant)
print("\n".join([" ".join([key, str(value)]) for key, value in dict.items()]))
class AdiumEmoteTheme(object):
'''a class that contains information of a adium emote theme
'''
def __init__(self, path):
'''constructor
get information from the theme located in path
'''
self.path = None
# if you add a smilie key twice you will have a nice stack overflow :D
self.emotes = OrderedDict()
self.emote_files = []
self.emote_regex_str= ""
self.emote_regex = None
self.load_information(path)
def load_information(self, path):
'''load the information of the theme on path
'''
self.path = path
emote_config_file = os.path.join(self.path, "Emoticons.plist")
emote_data=plistlib.readPlist(emote_config_file)
for key, val in emote_data['Emoticons'].iteritems():
self.emote_files.append(key)
pointer_name = val['Name']
pointer_key = val['Equivalents'][0]
self.emotes[pointer_key] = key
for v in val['Equivalents'][1:]:
if v != "":
self.emotes[v] = self.emotes[pointer_key]
for key2 in self.emotes:
self.emote_regex_str += re.escape(key2) + "|"
self.emote_regex = re.compile("("+self.emote_regex_str+")")
def emote_to_path(self, shortcut, remove_protocol=False):
'''return a string representing the path to load the emote if it exist
None otherwise'''
if shortcut not in self.emotes:
return None
path = os.path.join(self.path, self.emotes[shortcut])
path = os.path.abspath(path)
if os.access(path, os.R_OK) and os.path.isfile(path):
path = path.replace("\\", "/")
if remove_protocol:
return path
else:
if os.name == "nt":
#if path[1] == ":":
# path = path[2:]
path = "localhost/"+path
return 'file://' + path
return None
def _get_emotes_shortcuts(self):
'''return the list of shortcuts'''
return self.emotes.keys()
shortcuts = property(fget=_get_emotes_shortcuts, fset=None)
def shortcuts_by_length(self, celist=None):
'''return the list of shortcuts ordered from longest to shortest with
it's corresponding path or hash '''
l = [(x, self.emote_to_path(x, True)) for x in self.emotes.keys()]
if celist is not None:
l += celist
return sorted(l, key=lambda pair: len(pair[0]), reverse=True)
def _get_emotes_count(self):
'''return the number of emoticons registered'''
return len(set(self.emotes.values()))
emotes_count = property(fget=_get_emotes_count, fset=None)
def split_smilies(self, text):
'''split text in smilies, return a list of tuples that contain
a boolean as first item indicating if the text is an emote or not
and the text as second item.
example : [(False, "hi! "), (True, ":)")]
'''
keys = self.emotes.keys()
return [(item in keys, item) for item in self.emote_regex.split(text)
if item is not None]
"""Constructing and loading dictionaries"""import cPickle as pklimport numpyfrom collections import OrderedDict
def build_dictionary(text): """ Build a dictionary text: list of sentences (pre-tokenized) """ wordcount = OrderedDict() for cc in text: words = cc.split() for w in words: if w not in wordcount: wordcount[w] = 0 wordcount[w] += 1 words = wordcount.keys() freqs = wordcount.values() sorted_idx = numpy.argsort(freqs)[::-1]
worddict = OrderedDict() for idx, sidx in enumerate(sorted_idx): worddict[words[sidx]] = idx+2 # 0: <eos>, 1: <unk>
return worddict, wordcount
def load_dictionary(loc='/ais/gobi3/u/rkiros/bookgen/book_dictionary_large.pkl'): """ Load a dictionary """ with open(loc, 'rb') as f: worddict = pkl.load(f) return worddict
def save_dictionary(worddict, wordcount, loc): """ Save a dictionary to the specified location """ with open(loc, 'wb') as f: pkl.dump(worddict, f) pkl.dump(wordcount, f)
def __init__(self, name):
self.periods = OrderedDict()
self.name = name
def __init__(self):
self._items = OrderedDict.OrderedDict()
def createTasks(self,
configOnly=False,
codeRepo='git',
over500JobsMode=NONE,
**kwargs):
if self.datasets == None:
self._createDatasets()
# If mode is NONE, create tasks for all datasets
if over500JobsMode == Multicrab.NONE:
return self._createTasks(configOnly, codeRepo, **kwargs)
datasetsOver500Jobs = OrderedDict.OrderedDict()
datasetsUnder500Jobs = OrderedDict.OrderedDict()
def checkAnyOver500Jobs(dataset):
njobs = dataset.getNumberOfJobs()
if njobs > 500:
datasetsOver500Jobs[dataset.getName()] = njobs
else:
datasetsUnder500Jobs[dataset.getName()] = njobs
self.forEachDataset(checkAnyOver500Jobs)
# If all tasks have < 500 jobs, create all tasks
if len(datasetsOver500Jobs) == 0:
return self._createTasks(configOnly, codeRepo, **kwargs)
# If mode is SERVER, set server=1 for tasks with >= 500 jobs
if over500JobsMode == Multicrab.SERVER:
for dname in datasetsOver500Jobs.iterkeys():
self.getDataset(dname).useServer(True)
return self._createTasks(configOnly, codeRepo, **kwargs)
# If mode is SPLIT, first create < 500 job tasks in one
# multicrab directory, then for each tasks with >= 500 jobs
# create one multicrab directory per 500 jobs
if over500JobsMode == Multicrab.SPLIT:
ret = self._createTasks(configOnly,
codeRepo,
datasetNames=datasetsUnder500Jobs.keys(),
**kwargs)
args = {}
args.update(kwargs)
prefix = kwargs.get("prefix", "multicrab")
for datasetName, njobs in datasetsOver500Jobs.iteritems():
dname = datasetName.split("_")[0]
nMulticrabTasks = int(math.ceil(njobs / 500.0))
for i in xrange(nMulticrabTasks):
firstJob = i * 500 + 1
lastJob = (i + 1) * 500
args["prefix"] = "%s_%s_%d-%d" % (prefix, dname, firstJob,
lastJob)
ret.extend(
self._createTasks(configOnly,
codeRepo,
datasetNames=[datasetName],
**args))
return ret
raise Exception("Incorrect value for over500JobsMode: %d" %
over500JobsMode)
# Sort dictionary with tuple values and filter top k elements
In [1]: from collections import OrderedDict
In [2]: OrderedDict(sorted(A.iteritems(), key=operator.itemgetter(1), reverse=False)[:k])
Out[2]: OrderedDict([('b', (1, 2)), ('a', (3, 4)), ('c', (10, 11))])
cause_search_library = OrderedDict({r'.*HIV.*':'HIV/AIDS',
r'.*AIDS.*':'HIV/AIDS',
r'.*(?i)motor\sneuron.*':'Motor neuron disease',
r'.*(?i)tuberculosis.*':'Tuberculosis',
r'.*(?i)syphilis.*':'Sexually transmitted infections excluding HIV',
r'.*(?i)chlamydia.*':'Sexually transmitted infections excluding HIV',
r'.*(?i)(gonococc|gonorrhea).*':'Sexually transmitted infections excluding HIV',
r'.*(?i)trichomon.*':'Sexually transmitted infections excluding HIV',
r'.*(?i)(varicella|herpes.zoster).*':'Varicella and herpes zoster',
r'.*(?i)herpes.*':'Sexually transmitted infections excluding HIV',
r'.*(?i)lower\srespiratory\sinfection.*':'Lower respiratory infections',
r'.*(?i)(influenza|pneumonia|respiratory\ssyncytial).*':'Lower respiratory infections',
r'.*(?i)upper\srespiratory\sinfection.*':'Upper respiratory infections',
r'.*(?i)otitis.*':'Otitis media',
r'.*(?i)diarrhea.*':'Diarrheal diseases',
r'.*(?i)(cholera|shigella|enteropathogenic\se\scoli|enterotoxigenic\se\scoli|campylobacter|entamoeba|cryptosporidium|rotavirus|aeromonas|clostridium\sdifficile|norovirus|adenovirus).*':'Diarrheal diseases',
r'.*(?i)typhoid.*':'Typhoid and paratyphoid',
r'.*[iI]NTS.*':'Invasive Non-typhoidal Salmonella (iNTS)',
r'.*(?i)salmonella.*':'Invasive Non-typhoidal Salmonella (iNTS)',
r'.*(?i)non\-typhoidal.*':'Invasive Non-typhoidal Salmonella (iNTS)',
r'.*(?i)malaria.*':'Malaria',
r'.*(?i)chagas.*':'Chagas disease',
r'.*(?i)leishmaniasis':'Leishmaniasis',
r'.*(?i)trypanosomiasis.*':'African trypanosomiasis',
r'.*(?i)schistosomiasis.*':'Schistosomiasis',
r'.*(?i)cysticercosis.*':'Cysticercosis',
r'.*(?i)echinococcosis.*':'Cystic echinococcosis',
r'.*(?i)filariasis.*':'Lymphatic filariasis',
r'.*(?i)onchocerciasis.*':'Onchocerciasis',
r'.*(?i)trachoma.*':'Trachoma',
r'.*(?i)dengue.*':'Dengue',
r'.*(?i)yellow\sfever.*':'Yellow fever',
r'.*(?i)rabies.*': 'Rabies',
r'.*(?i)(ascariasis|trichuriasis|hookworm|nematode).*':'Intestinal nematode infections',
r'.*(?i)trematodias.*':'Food-borne trematodiases',
r'.*(?i)leprosy.*':'Leprosy',
r'.*(?i)ebola.*':'Ebola',
r'.*(?i)zika.*':'Zika virus',
r'.*(?i)guinea\sworm.*':'Guinea worm disease',
r'.*(?i)tropical\sdisease.*':'Other neglected tropical diseases',
r'.*(?i)meningitis.*':'Meningitis',
r'.*(?i)encephalitis.*':'Encephalitis',
r'.*(?i)diphtheria.*':'Diphtheria',
r'.*(?i)whooping\scough.*':'Whooping cough',
r'.*(?i)tetanus.*':'Tetanus',
r'.*(?i)measle.*':'Measles',
r'.*(?i)hepatitis.*':'Acute hepatitis',
r'.*(?i)maternal.*':'Maternal disorders',
r'.*(?i)neonatal.*':'Neonatal disorders',
r'.*(?i)protein.energy.*':'Protein-energy malnutrition',
r'.*PEM':'Protein-energy malnutrition',
r'.*(?i)iodine.deficien.*':'Iodine deficiency',
r'.*(?i)vitamin.a.*':'Vitamin A deficiency',
r'.*(?i)iron.deficien.*':'Dietary iron deficiency',
r'.*(?i)(lip|oral|mouth)\s(cancer|neoplasm).*':'Lip and oral cavity cancer',
r'.*(?i)(cancer|neoplasm)\s.*(lip|oral|mouth).*':'Lip and oral cavity cancer',
r'.*(?i)nasopharynx.*':'Nasopharynx cancer',
r'.*(?i)pharnyx.*':'Other pharynx cancer',
r'.*(?i)(esophageal|esophagus).*\s(cancer|neoplasm).*':'Esophageal cancer',
r'.*(?i)stomach\s.*(cancer|neoplasm).*':'Stomach cancer',
r'.*(?i)(cancer|neoplasm)\s.*stomach.*':'Stomach cancer',
r'.*(?i)(colorectal|colon|rectum)\s(cancer|neoplasm).*':'Colon and rectum cancer',
r'.*(?i)(cancer|neoplasm)\s(colorectal|colon|rectum).*':'Colon and rectum cancer',
r'.*(?i)liver\s.*(cancer|neoplasm).*':'Liver cancer',
r'.*(?i)(cancer|neoplasm)\s.*liver.*':'Liver cancer',
r'.*(?i)(gallbladder|biliary)\s.*(cancer|neoplasm).*':'Gallbladder and biliary tract cancer',
r'.*(?i)(cancer|neoplasm)\s.*(gallbladder|biliary).*':'Gallbaldder and biliary tract cancer',
r'.*(?i)(pancreatic|pancreas).*':'Pancreatic cancer',
r'.*(?i)larynx\s.*(cancer|neoplasm).*':'Larynx cancer',
r'.*(?i)(cancer|neoplasm)\s.*larynx.*':'Larynx cancer',
r'.*(?i)(trachea|bronchus|lung)\s.*(cancer|neoplasm).*':'Tracheal, bronchus, and lung cancer',
r'.*(?i)(cancer|neoplasm)\s.*(trachea|bronchus|lung).*':'Tracheal, bronchus, and lung cancer',
r'.*(?i)(non.melanoma|squamous.cell|basal.cell)\s.*(cancer|neoplasm|carcinoma).*':'Non-melanoma skin cancer',
r'.*(?i)melanoma.*':'Malignant skin melanoma',
r'.*(?i)skin\s.*(cancer|neoplasm).*':'Malignant skin melanoma',
r'.*(?i)breast\s.*(cancer|neoplasm).*':'Breast cancer',
r'.*(?i)(cancer|neoplasm)\s.*breast.*':'Breast cancer',
r'.*(?i)(cervical|cervix)\s.*(cancer|neoplasm).*':'Cervical cancer',
r'.*(?i)(cancer|neoplasm)\s.*(cervical|cervix).*':'Cervical cancer',
r'.*(?i)(cancer|neoplasm)\s.*(uterine|uterus).*':'Uterine cancer',
r'.*(?i)(uterine|uterus)\s.*(cancer|neoplasm).*':'Uterine cancer',
r'.*(?i)(ovarian|ovary)\s.*(cancer|neoplasm).*':'Ovarian cancer',
r'.*(?i)(cancer|neoplasm)\s.*(ovarian|ovary).*':'Ovarian cancer',
r'.*(?i)prostate\s.*(cancer|neoplasm).*':'Prostate cancer',
r'.*(?i)(cancer|neoplasm)\s.*prostate.*':'Prostate cancer',
r'.*(?i)(testicular|testes|testicle).*(cancer|neoplasm)':'Testicular cancer',
r'.*(?i)(cancer|neoplasm)\s.*(testicular|testes|testicle)':'Testicular cancer',
r'.*(?i)(cancer|neoplasm)\s.*kidney':'Kidney cancer',
r'.*(?i)kidney\s.*(cancer|neoplasm)':'Kidney cancer',
r'.*(?i)bladder\s.*(cancer|neoplasm)':'Bladder cancer',
r'.*(?i)(cancer|neoplasm)\s.*bladder.*':'Bladder cancer',
r'.*(?i)(cancer|neoplasm)\s.*(brain|nervous).*':'Brain and nervous system cancer',
r'.*(?i)(cancer|neoplasm)\s.*thyroid.*':'Thyroid cancer',
r'.*(?i)(brain|nervous)\s.*(cancer|neoplasm)':'Brain and nervous system cancer',
r'.*(?i)thyroid\s.*(cancer|neoplasm)':'Thyroid cancer',
r'.*(?i)mesothelioma.*':'Mesothelioma',
r'.*(?i)non\-hodgkin.*':'Non-Hodgkin lymphoma',
r'.*(?i)hodgkin.*':'Hodgkin lymphoma',
r'.*(?i)leukemia.*':'Leukemia',
r'.*(?i)myeloma.*':'Multiple myeloma',
r'.*(?i)(rheumat|valvular).*heart.*':'Rheumatic heart disease',
r'.*RHD.*':'Rheumatic heart disease',
r'.*(?i)(non.?rheumatic|calcific.aort|degenerative.mitr).*':'Non-rheumatic valvular heart disease',
r'.*(?i)ischem.*heart.*':'Ischemic heart disease',
r'.*IHD.*':'Ischemic heart disease',
r'.*(?i)heart.*ischem.*':'Ischemic heart disease',
r'.*(?i)(stroke|intracerebral.hemorrhage|subarachnoid.hemorrhage).*':'Stroke',
r'.*(?i)hypertensive.*':'Hypertensive heart disease',
r'.*(?i)cardiomyopathy.*':'Cardiomyopathy and myocarditis',
r'.*(?i)myocarditis.*':'Cardiomyopathy and myocarditis',
r'.*(?i)fibrillation.*':'Atrial fibrillation and flutter',
r'.*(?i)aort.*aneurysm.*':'Aortic aneurysm',
r'.*(?i)peripheral\sart.*':'Peripheral artery disease',
r'.*(?i)endocarditis.*':'Endocarditis',
r'.*COPD.*':'Chronic obstructive pulmonary disease',
r'.*(?i)obstruct.*pulmonary.*':'Chronic obstructive pulmonary disease',
r'.*(?i)pneumoconiosis.*':'Pneumoconiosis',
r'.*(?i)silicosis.*':'Pneumoconiosis',
r'.*(?i)asbestosis.*':'Pneumoconiosis',
r'.*(?i)\scoal\s.*':'Pneumoconiosis',
r'.*(?i)asthma.*':'Asthma',
r'.*(?i)interstitial\slung.*':'Interstitial lung disease and pulmonary sarcoidosis',
r'.*(?i)sarcoidosis.*':'Interstitial lung disease and pulmonary sarcoidosis',
r'.*(?i)cirrhos.*':'Cirrhosis and other chronic liver diseases',
r'.*(?i)chronic.*liver.*':'Cirrhosis and other chronic liver diseases',
r'.*(?i)peptic\sulcer.*':'Upper digestive system diseases',
r'.*(?i)gastritis.*':'Upper digestive system diseases',
r'.*(?i)duodenitis.*':'Upper digestive system diseases',
r'.*(?i)reflux.*':'Upper digestive system diseases',
r'.*(?i)gastroesophageal.*':'Upper digestive system diseases',
r'.*(?i)appendi.*':'Appendicitis',
r'.*(?i)(ileus|intestinal)\sobstruction.*':'Paralytic ileus and intestinal obstruction',
r'.*(?i)hernia.*':'Inguinal, femoral, and abdominal hernia',
r'.*(?i)inflam.*bowel.*':'Inflammatory bowel disease',
r'.*(IBS|IBD).*':'Inflammatory bowel disease',
r'.*(?i)(vascular.intestin|mesenteric.vasc|intestinal.ischem).*':'Vascular intestinal disorders',
r'.*(?i)pancreatitis.*':'Pancreatitis',
r'.*(?i)alzheimer.*':'Alzheimer\'s disease and other dementias',
r'.*(?i)dementia.*':'Alzheimer\'s disease and other dementias',
r'.*(?i)parkinson.*':'Parkinson\'s disease',
r'.*(?i)epilep(sy|tic).*':'Epilepsy',
r'.*(?i)multiple\ssclero(sis|tic).*':'Multiple sclerosis',
r'.*(?i)motor.neuron.*':'Motor neuron disease',
r'.*(?i)gehrig.*':'Motor neuron disease',
r'.*lateral\ssclero(sy|tic).*':'Motor neuron disease',
r'.*(?i)(migraine|tension|cluster).*(headache)?.*':'Headache disorders',
r'.*(?i)conduct\sdisorder.*':'Conduct disorder',
r'.*(?i)schizo.*':'Schizophrenia',
r'.*(?i)(depressi|dysthymia).*':'Depressive disorders',
r'.*(?i)bipolar.*':'Bipolar disorder',
r'.*(?i)anxi.*':'Anxiety disorders',
r'.*(?i)(anorex|bulim).*':'Eating disorders',
r'.*(?i)(asperger|autis(tic|m)).*':'Autism spectrum disorders',
r'.*(ADHD|(?i)attention.deficit|hyperactiv).*':'Attention-deficit/hyperactivity disorder',
r'.*(?i)idiopath.*':'Idiopathic developmental intellectual disability',
r'.*(?i)alcohol.*':'Alcohol use disorders',
r'.*(?i)(opioid|cocaine|amphetamine|cannabis|marijuana|drug).*\sabuse.*':'Drug use disorders',
r'.*(CKD|(?i)chronic\skidney).*':'Chronic kidney disease',
r'.*(?i)(diabetes|diabetic).*':'Diabetes mellitus',
r'.*(?i)glomerulonephr.*':'Acute glomerulonephritis',
r'.*(?i)dermatit.*':'Dermatitis',
r'.*(?i)psoria.*':'Psoriasis',
r'.*(?i)(cellulitis|pyoderma|bacterial\sskin).*':'Bacterial skin diseases',
r'.*(?i)scabies.*':'Scabies',
r'.*(?i)fungal.*':'Fungal skin diseases',
r'.*(?i)viral\sskin.*':'Viral skin diseases',
r'.*(?i)acne.*':'Acne vulgaris',
r'.*(?i)alopecia.*':'Alopecia areata',
r'.*(?i)pruritus.*':'Pruritus',
r'.*(?i)urticari.*':'Urticaria',
r'.*(?i)decubit.*':'Decubitus ulcer',
r'.*(?i)(glaucoma|cataract|macular.degener|refraction|vision.loss).*':'Blindness and vision impairment',
r'.*(?i)hearing.*loss.*':'Age-related and other hearing loss',
r'.*(?i)rheumat.*arthrit.*':'Rheumatoid arthritis',
r'.*(?i)osteoarthritis.*':'Osteoarthritis',
r'.*(?i)back.*pain.*':'Low back pain',
r'.*(?i)neck.*pain.*':'Neck pain',
r'.*(?i)gout.*':'Gout',
r'.*(?i)(neural.tube|congenital.heart|cleft|down.syndrome|turner.syndrome|klinefelter.syndrome|congenital).*':'Congenital birth defects',
r'.*(?i)(urolithiasis|urinary.tract.infect|prostatic.hyperplasia|male.infertility).*':'Urinary diseases and male infertility',
r'.*(PMS|(?i)uterine.fibroid|polycystic|female.infertil|endometrios|genital.prolapse|premenstrual|gynecol).*':'Gynecological diseases',
r'.*(?i)(thalassemi|sickle.cell|g6pd|hemoglobinopath|hemolytic.anemia).*':'Hemoglobinopathies and hemolytic anemias',
r'.*(?i)(endocrine|metabolic|blood|immune).*disorder.*':'Endocrine, metabolic, blood, and immune disorders',
r'.*(?i)caries.*(deciduous|permanent).*':'Oral disorders',
r'.*(?i)periodontal.*diseas.*':'Oral disorders',
r'.*(?i)(edentulis|tooth.loss|oral.disorder).*':'Oral disorders',
r'.*(SIDS|(?i)sudden.infant.death).*':'Sudden infant death syndrome',
r'.*(?i)gallbladder.*':'Gallbladder and biliary diseases',
r'.*(?i)bil(e|iary).*':'Gallbladder and biliary diseases',
r'.*(?i)digest.*':'Other digestive diseases',
r'.*(?i)sense.organ.dis.*':'Other sense organ diseases',
f'.*(?i)intestinal.infect.*':'Other intestinal infectious diseases',
r'.*(?i)(cardiovascular|heart).*':'Other cardiovascular and circulatory diseases',
r'.*(?i)neurol.*':'Other neurological disorders',
r'.*(?i)mental.*':'Other mental disorders',
r'.*(?i)respiratory.*':'Other chronic respiratory diseases',
r'.*(?i)malignant.*':'Other malignant neoplasms',
r'.*(?i)(benign|in.situ|myelodysplat|myeloproliferat|hematopoietic).*(cancer|neoplasm).*':'Other neoplasms',
r'.*(?i)cancer.*':'Other malignant neoplasms',
r'.*(?i)infectio.*':'Other unspecified infectious diseases',
r'.*(?i)sexually.*':'Sexually transmitted infections excluding HIV',
r'.*(?i)nutritional.deficien.*':'Other nutritional deficiencies',
r'.*ALS.*':'Motor neuron disease',
r'.*(?i)(skin|subcutaneous).*disease.*':'Other skin and subcutaneous diseases',
r'.*(?i)musculoskel.*':'Other musculoskeletal disorders',
r'.*':'Other'})
m collections import OrderedDict
dict = OrderedDict()
for _ in range(int(input())):
s = input()
dict[s] = dict.get(s, 0) + 1
print(len(dict))
print(*[value for _, value in dict.items()])
rom collections import OrderedDict
glossary = OrderedDict()
glossary['string'] = 'A series of characters.'
glossary['comment'] = 'A note in a program that the Python interpreter ignores.'
glossary['list'] = 'A collection of items in a particular order.'
glossary['loop'] = 'Work through a collection of items, one at a time.'
glossary['dictionary'] = "A collection of key-value pairs."
glossary['key'] = 'The first item in a key-value pair in a dictionary.'
glossary['value'] = 'An item associated with a key in a dictionary.'
glossary['conditional test'] = 'A comparison between two values.'
glossary['float'] = 'A numerical value with a decimal component.'
glossary['boolean expression'] = 'An expression that evaluates to True or False.'
for word, definition in glossary.items():
print("\n" + word.title() + ": " + definition)
def init():
MyDict = OrderedDict.OrderedDict()
MyDict.createDict()
return MyDict
def play():
actions = OrderedDict()
actions[]
player = Player()
print('Escape from Cave Terror!')
while True:
room = world.tile_at(player.x, player.y)
# print(player.x)
# print(player.y)
print(room.intro_text())
room.modify_player(player)
# Interactives rooms
if room.x == 0 and room.y == 0:
print("You have lost 50hp")
player.hp = player.hp - 50
if room.x == 2 and room.y == 3:
print("You have lost 15hp")
player.hp -= 15
# Finish ga
if player.hp < 1:
print('PLAYER DIED')
return
if room.x == 1 and room.y == 0:
print('YOU WIN')
print(str(player.hp) + ' (hp)')
return
action_input = get_player_command()
if action_input in ['n', 'N']:
player.move_north()
elif action_input in ['s', 'S']:
player.move_south()
elif action_input in ['e', 'E']:
player.move_east()
elif action_input in ['w', 'W']:
player.move_west()
elif action_input in ['A', 'a']:
player.attack()
elif action_input in ['sw', 'SW']:
player.move_south()
player.move_west()
elif action_input in ['se', 'SE']:
player.move_south()
player.move_east()
elif action_input in ['ne', 'NE']:
player.move_north()
player.move_east()
elif action_input in ['nw', 'NW']:
player.move_north()
player.move_west()
elif action_input in ['I', 'i']:
print(player.print_inventory())
print (player.hp)
elif action_input in ['h', 'H']:
player.heal()
elif action_input in ['q', 'Q']:
print('Finished')
return
else:
print('Acción inválida')
def __init__(self, name=None):
self._columns = OrderedDict.OrderedDict()
self._name = name