def about_students():
for class_room in school_data["classes"]:
print("Ученики '%s' класса: " % class_room)
for number, student in enumerate(search(students_data, class_room=class_room), start=1):
# FIXME(Complete): учесть(во всей программе), в файле могут быть ученики из других школ
print(" %s)%s" % (number, get_full_name(student)))
# TODO(complete): Добавить нумерацию учеников для каждого класса
print('Ожидают принятия в школу:')
for number, student in enumerate(search(students_data, class_room='X'), start=1):
print(" %s)%s" % (number, get_full_name(student)))
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню\n:")
def about_classes():
print("Все классы нашей школы")
print("||", " || ".join(school_data['classes']), "||")
print()
class_room = input("Введите класс, для подробной информации по нему \n"
" или Enter для возврата в предыдущее меню:")
if class_room in school_data["classes"]:
print("\nИнформация по %s классу:" % class_room)
print(" Учителя: ", [get_full_name(el) for el in search(teachers_data)])
print(" Ученики: ", [get_full_name(el) for el in search(students_data)])
input("Нажмите Enter для возврата в предыдущее меню")
elif (class_room != '') and not (class_room in teachers_data['classes']):
print('Введенного класса не существует')
about_classes()
def about_students():
for class_room in school_data["classes"]:
print("Ученики '%s' класса: " % class_room)
for number, student in enumerate(search(students_data,
class_room=class_room),
start=1):
# FIXME(Complete): учесть(во всей программе), в файле могут быть ученики из других школ
print(" %s)%s" % (number, get_full_name(student)))
# TODO(complete): Добавить нумерацию учеников для каждого класса
print('Ожидают принятия в школу:')
for number, student in enumerate(search(students_data, class_room='X'),
start=1):
print(" %s)%s" % (number, get_full_name(student)))
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню\n:")
def about_teachers():
for class_room in school_data["classes"]:
print("Учителя, преподающие в '%s' классе: " % class_room)
for number, teacher in enumerate(search(teachers_data, class_room=class_room)):
print(" %s)%s" % (number+1, get_full_name(teacher)))
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню\n:")
def get_key_ideas(pos, lang, patterns_path):
# load the patterns
patterns = load_data(patterns_path)
patterns = patterns["default_patterns_" + lang]
# exceptions = patterns["default_exceptions_"+lang]
# get the key ideas
key_ideas = []
tokens = [w[0] for w in pos]
words = []
for w in pos:
if w[1][0] in ['J', 'V', 'N']:
words.append(w[1][0])
else:
words.append(w[0])
# patterns = [x[0] for x in self.patterns]
for p in patterns:
start = search(words, p)
if start:
key_idea = tokens[start:start + len(p)]
key_ideas.append(key_idea)
return key_ideas
def about_students():
for class_room in school_data["classes"]:
print("Ученики '%s' класса: " % class_room)
for num, student in enumerate(search(students_data, class_room=class_room), start=1):
# FIXME: учесть(во всей программе), в файле могут быть ученики из других школ
print(" ", str(num) + ')', get_full_name(student)) # TODO: Добавить нумерацию учеников для каждого класса
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню")
def about_teachers():
for class_room in school_data["classes"]:
print("Учителя, преподающие в '%s' классе: " % class_room)
for number, teacher in enumerate(
search(teachers_data, class_room=class_room)):
print(" %s)%s" % (number + 1, get_full_name(teacher)))
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню\n:")
def about_students():
for class_room in school_data["classes"]:
print("Ученики '%s' класса: " % class_room)
for student in search(students_data, class_room=class_room):
if student['school'] == "67 школа": #FIXME: в файле school.json тип школы на английском
print(" ", enumerate(get_full_name(student), start=1)) # TODO: Добавить нумерацию учеников для каждого класса
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню")
def make_group():
tracks = []
name = input("Queue Group Name: ")
parser = SongParser("Song Parser")
parser.add_argument('title', nargs="?")
parser.add_argument('artist', nargs="?")
parser.add_argument('-c', '--current', action='store_true')
parser.add_argument('-u', '--uri')
print("Input track name + artist or URI; type SAVE when finished!")
adding = True
while adding:
candidate_track = input(f"Item {len(tracks) + 1}: ")
if candidate_track.strip().upper() == 'SAVE':
if len(tracks) > 0:
with open(group_file) as gf:
try:
groups = json.load(gf)
except json.JSONDecodeError:
groups = {}
groups[name] = tracks
with open(group_file, 'w+') as gf:
json.dump(groups, gf)
else:
print("No tracks specified!")
adding = False
else:
try:
track = {}
args = parser.parse_args(shlex.split(candidate_track))
if args.title:
track = get_track(search(args.title, args.artist,
spotify))[0]
elif args.uri:
track = get_track(args.uri)[0]
elif args.current:
track = get_track(current_uri())[0]
else:
raise SongException(
"Invalid track specifier! Provide artist (and track), else specify current (-c) or uri (-u)!"
)
if track:
confirm = input(
f"Found track: {track.get('name')} by {track.get('artist')}. Add to group {name} (y/n)? "
).lower().strip()
if confirm == 'y': tracks.append(track)
else:
print("Could not find a matching track!")
except SongException as e:
print(e)
def teachers():
global teachers_data
global school_data
clear()
print("*" * 24)
print("* Welcome to %s %s *" % (school_data['number'], school_data['type']))
print("*" * 24)
print(" MENU > Информация > Об учителях")
# TODO(complete): дописать вывод по аналогии с учениками
for class_room in school_data["classes"]:
print("Учителя '%s' класса: " % class_room)
for num, teacher in enumerate(search(teachers_data, class_room=class_room)):
print(" ", '%s)' % (num + 1), get_full_name(teacher))
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню")
return
def students():
global students_data
global school_data
clear()
print("*" * 24)
print("* Welcome to %s %s *" % (school_data['number'], school_data['type']))
print("*" * 24)
print(" MENU > Информация > Об учениках")
for class_room in school_data["classes"]:
print("Ученики '%s' класса: " % class_room)
for num, student in enumerate(search(students_data, class_room=class_room)):
# FIXME(complete): учесть(во всей программе), в файле могут быть ученики из других школ
# TODO(complete): Добавить нумерацию учеников для каждого класса
print(" ", '%s)' % (num + 1), get_full_name(student))
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню")
return
def search_account_codes(self): try : data = utilities.search(ACCOUNT_CODES, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
def search_tax_codes(self): try : data = utilities.search(TAX_CODES, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
def search_supplier_invoices(self): try : data = utilities.search(SUPPLIER_INVOICES, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
def search_purchase_orders(self): try : data = utilities.search(PURCHASE_ORDERS, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
def search_customer_invoices(self): try : data = utilities.search(CUSTOMER_INVOICES, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
def mobRandomTrue():
return utilities.search(monstersAll)
parser.add_argument('-u', '--uri')
parser.add_argument('-q', '--queue')
parser.add_argument('-d', '--delete', nargs='*', default='UNDEFINED')
args = parser.parse_args()
if sys.argv[1:]:
if not any([args.start, args.end, args.queue
]) and args.delete == "UNDEFINED":
exit(
"Must specify a track start (-s), end (-e), queue (-q), or delete (-d)"
)
else:
track = None
if args.current: track = get_track(current())
elif args.title:
track = get_track(search(args.title, args.artist, spotify))
elif args.uri:
track = get_track(args.uri)
if args.delete != 'UNDEFINED':
if len(args.delete) == 0:
uri = (track or {}).get('uri')
if not uri:
exit(
"One of: uri (-u), title (-t) + artist (-a), or current (-c) must be specified!"
)
else:
print(
f"{color('Deleting rule', Colors.RED)} for {color(track.get('name'), Colors.CYAN)} [{color(track.get('artist'), Colors.YELLOW)}]..."
)
update_rule(uri, None, track=track)
def main():
print "Enter precision:",
targetPrecision = float(raw_input())
precision = -1.0
print "Enter Query:",
inputQuery = raw_input()
qTerms = inputQuery.split()
bingAccountKey = "QgPWn9g/wi5g0BrHFTheQNwEjD+/m98WcIi8ps2G6V8="
while(precision < targetPrecision):
#Print bing API key
print "Client Key\t= " + bingAccountKey
#Print query terms
query = qTerms[0]
for qTerm in xrange(len(qTerms) - 1):
query += (" "+qTerms[qTerm + 1])
print "Query\t\t= " + query
query = query.replace(" ", "+")
#Print precision
print "Precision\t= " + str(targetPrecision)
#Print URL
url = "https://api.datamarket.azure.com/Bing/Search/Web?Query=%27" + query + "%27&$top=10&$format=json"
print "URL: " + url
#query the API and get docs
documents = utilities.search(query, url, bingAccountKey)
#show results and get feedback
documents = utilities.getFeedback(documents)
#show new results
print "======================"
print "FEEDBACK SUMMARY"
print "Query " + query.replace("+", " ")
#intermediate check
if utilities.checkTargetPrecision(documents, targetPrecision):
break
print "Indexing results..."
dFrequency = defaultdict(list)
for index in xrange(len(documents)):
#initialize scores to 0
documents[index]['score'] = defaultdict(int)
#get rid of characters
documents[index] = utilities.removeCharacters(documents[index])
#terms from description and title of document
terms = utilities.getTerms(documents[index])
wCount = float(len(terms))
for term in terms:
documents[index]['score'][term] = documents[index]['score'][term] + 1/wCount
if(len(dFrequency[term]) is 0):
dFrequency[term] = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
dFrequency[term][index] = 1
dFrequency = utilities.computeDocumentFrequency(dFrequency, len(documents))
#use the document frequency to update the scores
documents = utilities.documentFrequencyTermScore(documents, dFrequency)
#we then create to dicts: one that is relevant and the other that is not
dRelevant, dNRelevant = utilities.divideDictionary(documents)
#run Rocchio Algorithm
mDict = utilities.getMasterDictionary(dRelevant, dNRelevant, documents, qTerms)
#get the two most important terms to add
bestTerm1, bestTerm2 = utilities.getBestTerms(mDict, qTerms)
print "Augmenting by "+ bestTerm1 + " " + bestTerm2
if(bestTerm1 != " "):
qTerms.append(bestTerm1)
if(bestTerm2 != " "):
qTerms.append(bestTerm2)
else:
print "No further augumentation!"
break
def score(m): return mDict[m.lower()]
qTerms.sort(key=score, reverse=True)
print("4. Назад")
choice = input(':')
if choice == '1':
clear()
print("*" * 24)
print("* Welcome to %s %s *" % (school_data['number'], school_data['type']))
print("*" * 24)
print(" MENU > Информация > О классах")
print("Все классы нашей школы")
print("||", " || ".join(school_data['classes']), "||")
print()
class_room = input("Введите класс, для подробной информации по нему \n"
" (или Enter для возврата в предыдущее меню):")
if class_room in school_data["classes"]:
print("\nИнформация по %s классу:" % class_room)
print(" Учителя: ", [get_full_name(el) for el in search(teachers_data)])
print(" Ученики: ", [get_full_name(el) for el in search(students_data)])
input("Нажмите Enter для возврата в предыдущее меню")
print('1. Выйти')
choice = input(': ')
if choice == 1:
print('Goodbye')
# TODO*: Сделать возврат в предыдущее меню(во всех местах программы).
# TODO:Выход из программы только по пункту "выйти"(+)
else:
print('Выбран несуществующий класс')
elif choice == '2':
clear()
print("*" * 24)
from Bio import Entrez
import graph
import utilities
Entrez.email = '*****@*****.**'
Entrez.api_key = 'f513b4e2e1a0b578c9d3dd731e36f19f7f08'
def __init__(self, email):
Entrez.email = '*****@*****.**'
Entrez.api_key = 'f513b4e2e1a0b578c9d3dd731e36f19f7f08'
if __name__ == '__main__':
results = utilities.search('etiology')
id_list = results['IdList']
papers = utilities.fetch_details(id_list)
utilities.summary_details(id_list)
utilities.systematicApproach(utilities.narrow_list)
utilities.remove_supp_authors(utilities.m_lastAuthor,
utilities.m_authorList)
graph.makeGraph(utilities.authorDict)
graph.nodeDegree(graph.g)
graph.graphAnalysis(graph.g)
else:
print("Такого класса нет")
input("Нажмите Enter для возврата в предыдущее меню")
# TODO*: Сделать возврат в предыдущее меню(во всех местах программы).
# TODO:Выход из программы только по пункту "выйти"
elif choice == "2":
clear()
print("*" * 24)
print("* Welcome to %s %s *" % (school_data["number"], school_data["type"]))
print("*" * 24)
print(" MENU > Информация > Об учениках")
for class_room in school_data["classes"]:
print("Ученики '%s' класса: " % class_room)
for student in search(students_data, class_room=class_room):
for num in enumerate(students_data):
# FIXME: учесть(во всей программе), в файле могут быть ученики из других школ
print(
" ", int(num) + 1, ".", get_full_name(student)
) # TODO: Добавить нумерацию учеников для каждого класса
print("-" * 24)
input("Нажмите Enter для возврата в предыдущее меню")
elif choice == "3":
clear()
print("*" * 24)
print("* Welcome to %s %s *" % (school_data["number"], school_data["type"]))
print("*" * 24)
print(" MENU > Информация > Об учителях")
print(" ... ")
# TODO: дописать вывод по аналогии с учениками
def search_jobs(self): try : data = utilities.search(JOBS, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
def search_contacts(self): try : data = utilities.search(CONTACTS, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
def search_assets(self): try : data = utilities.search(ASSETS, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
def main():
print "Enter precision:",
targetPrecision = float(raw_input())
precision = -1.0
print "Enter Query:",
inputQuery = raw_input()
qTerms = inputQuery.split()
bingAccountKey = "QgPWn9g/wi5g0BrHFTheQNwEjD+/m98WcIi8ps2G6V8="
while (precision < targetPrecision):
#Print bing API key
print "Client Key\t= " + bingAccountKey
#Print query terms
query = qTerms[0]
for qTerm in xrange(len(qTerms) - 1):
query += (" " + qTerms[qTerm + 1])
print "Query\t\t= " + query
query = query.replace(" ", "+")
#Print precision
print "Precision\t= " + str(targetPrecision)
#Print URL
url = "https://api.datamarket.azure.com/Bing/Search/Web?Query=%27" + query + "%27&$top=10&$format=json"
print "URL: " + url
#query the API and get docs
documents = utilities.search(query, url, bingAccountKey)
#show results and get feedback
documents = utilities.getFeedback(documents)
#show new results
print "======================"
print "FEEDBACK SUMMARY"
print "Query " + query.replace("+", " ")
#intermediate check
if utilities.checkTargetPrecision(documents, targetPrecision):
break
print "Indexing results..."
dFrequency = defaultdict(list)
for index in xrange(len(documents)):
#initialize scores to 0
documents[index]['score'] = defaultdict(int)
#get rid of characters
documents[index] = utilities.removeCharacters(documents[index])
#terms from description and title of document
terms = utilities.getTerms(documents[index])
wCount = float(len(terms))
for term in terms:
documents[index]['score'][
term] = documents[index]['score'][term] + 1 / wCount
if (len(dFrequency[term]) is 0):
dFrequency[term] = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
dFrequency[term][index] = 1
dFrequency = utilities.computeDocumentFrequency(
dFrequency, len(documents))
#use the document frequency to update the scores
documents = utilities.documentFrequencyTermScore(documents, dFrequency)
#we then create to dicts: one that is relevant and the other that is not
dRelevant, dNRelevant = utilities.divideDictionary(documents)
#run Rocchio Algorithm
mDict = utilities.getMasterDictionary(dRelevant, dNRelevant, documents,
qTerms)
#get the two most important terms to add
bestTerm1, bestTerm2 = utilities.getBestTerms(mDict, qTerms)
print "Augmenting by " + bestTerm1 + " " + bestTerm2
if (bestTerm1 != " "):
qTerms.append(bestTerm1)
if (bestTerm2 != " "):
qTerms.append(bestTerm2)
else:
print "No further augumentation!"
break
def score(m):
return mDict[m.lower()]
qTerms.sort(key=score, reverse=True)
def search_opportunities(self): try : data = utilities.search(OPPORTUNITIES, SEARCH, self) utilities.log_req_res(data, self) except: utilities.get_error_message(self)
