Primera A Clausura Playoff Group B stats & predictions

The Thrill of Live Matches

The excitement of live matches cannot be overstated. Watching games unfold in real-time adds an adrenaline rush that enhances the overall experience. Fans can engage with live commentary and analysis to deepen their understanding of the game as it happens.

Fan Engagement: More Than Just Watching Games

Fans play a crucial role in creating an electrifying atmosphere during matches. Engaging activities such as fan chants, social media interactions, and post-match discussions contribute to a vibrant community spirit. This engagement not only supports teams but also enriches personal experiences as fans connect over shared passions for football.

The Role of Analytics in Football Betting

In today's digital age, analytics have become indispensable tools for both players and bettors. Advanced statistical models help predict outcomes more accurately than ever before. These tools analyze vast amounts of data quickly, providing insights that were previously inaccessible through traditional methods alone:

Data Points Considered:

• Pitch Conditions: Weather impacts like rain or heat affect gameplay dynamics significantly.I need help expanding [SNIPPET] so it handles models differently than optimizers within its context management.<|end|> <|assistant|>Sure! To handle models differently than optimizers within its context management logic inside `NNCFWrapperBase`, we'll need to introduce type-checking mechanisms inside our context manager methods (`__enter__` and `__exit__`). Here's how you might approach it: python class NNCFWrapperBase(object): def __init__(self, obj): self.obj = obj def __enter__(self): if isinstance(self.obj, torch.nn.Module): self.handle_model_enter() elif isinstance(self.obj, torch.optim.Optimizer): self.handle_optimizer_enter() else: raise TypeError("Unsupported type wrapped") return self.obj def __exit__(self, exc_type, exc_value, traceback): if isinstance(self.obj, torch.nn.Module): self.handle_model_exit(exc_type) elif isinstance(self.obj, torch.optim.Optimizer): self.handle_optimizer_exit(exc_type) def handle_model_enter(self): print("Entering model context") def handle_optimizer_enter(self): print("Entering optimizer context") def handle_model_exit(self, exc_type): if exc_type: print("Error occurred while handling model") print("Exiting model context") def handle_optimizer_exit(self,self.exc_type=None) if exc_type: print("Error occurred while handling optimizer") print("Exiting optimizer context") This code snippet ensures that entering/exiting contexts behaves differently depending on whether you're dealing with a model or an optimizer. <|user|>Looks good but I also want custom serialization logic based on object type.<|end|> <|assistant|>Understood! We can add custom serialization methods (`serialize` & `deserialize`) inside our `NNCFWrapperBase` class which will behave differently based on whether they're dealing with models or optimizers: python import json class NNCFWrapperBase(object): # existing methods... def serialize(self): if isinstance(self.obj, torch.nn.Module): return json.dumps({'type': 'model', 'state_dict': self.obj.state_dict()}) elif isinstance(self.obj, torch.optim.Optimizer): return json.dumps({'type': 'optimizer', 'state_dict': self.obj.state_dict()}) def deserialize(serialized_str): data = json.loads(serialized_str) if data['type'] == 'model': obj = MyModel() # replace MyModel() with actual model instantiation logic obj.load_state_dict(data['state_dict']) return obj elif data['type'] == 'optimizer': obj = MyOptimizer() # replace MyOptimizer() with actual optimizer instantiation logic obj.load_state_dict(data['state_dict']) return obj else: raise TypeError("Unsupported serialized type") With this setup: - For models (`torch.nn.Module`), we serialize its state dictionary. - For optimizers (`torch.optim.Optimizer`), we serialize its state dictionary too. - Deserialization reconstructs objects accordingly. Make sure you replace placeholders like `MyModel()` & `MyOptimizer()` with actual initialization code relevant to your project! <|user|>Nice! Now let’s add advanced error handling specifically when deserializing.<|end|> <|assistant|>Certainly! We'll enhance our deserialization method by incorporating advanced error handling mechanisms which will log detailed diagnostic information when errors occur: python import json class DeserializationError(Exception): pass class UnsupportedTypeError(DeserializationError): pass class StateDictError(DeserializationError): pass class NNCFWrapperBase(object): # existing methods... def deserialize(serialized_str): try: data = json.loads(serialized_str) if data['type'] == 'model': try: obj = MyModel() # replace MyModel() instantiation logic obj.load_state_dict(data['state_dict']) except Exception as e: raise StateDictError(f"Failed loading state dict into model {e}") return obj elif data['type'] == 'optimizer': try: obj = MyOptimizer() # replace MyOptimizer() instantiation logic obj.load_state_dict(data['state_dict']) except Exception as e: raise StateDictError(f"Failed loading state dict into optimizer {e}") return obj else: raise UnsupportedTypeError(f"Unsupported serialized type {data['type']}") except json.JSONDecodeError as e: raise DeserializationError(f"Failed decoding JSON {e}") except KeyError as e: raise DeserializationError(f"Missing key during deserialization {e}") This code introduces specific exceptions (`DeserializationError`, `UnsupportedTypeError`, `StateDictError`) which provide more detailed error messages tailored towards deserialization issues: 1. **JSONDecodeError** handles JSON parsing failures. 2. **KeyError** deals with missing keys during deserialization process. 3. Custom exceptions provide meaningful messages about what exactly went wrong during deserialization. This should give you much clearer diagnostics whenever something goes awry during deserialization! 1: DOI: 10.1007/s00405-020-06454-w 2: # COVID‐19 pandemic effect on surgical otolaryngology activity at University Hospital “La Paz”, Madrid (Spain) 3: Authors: Jesús Fernández-Cruz Martínez-de-Lararescoaizpurua-Sanz de Samaniego-Muñoz de Velasco-Cabrera y Lecea de Arana y Gortázar-López de Letona y Galarraga-Fernández-Cruz-Martínez-de-Lararescoaizpurua-Sanz-de-Samaniego-Muñoz-de-Velasco-Cabrera-y-Lecea-de-Arana-y-Gortázar-López-de-Letona-y-Galarraga-Fernández-Cruz-Martínez-de-Lararescoaizpurua-Sanz-de-Samaniego-Muñoz-de-Velasco-Cabrera-y-Lecea-de-Arana-y-Gortázar-López-de-Letona-y-Galarraga-Fernández-Cruz-Martínez-de-Lararescoaizpurua-Sanz-de-Samaniego-Muñoz-de-Velasco-Cabrera-y-Lecea-de-Arana-y-Gortázar-López-de-Letona-y-Galarraga-Fernández-Cruz-Martínez-de-Lararescoaizpurua-Sanz-de-Samaniego-Muñoz-de-Velasco-Cabrera-y-Lecea-de-Arana-y-Gortázar-López-de-Letona-y-Galarraga-Fernández-Cruz-Martínez-, Pablo García-Rodríguez del Río-Huidobro y León-Herrero Sánchez-Delgado-Pérez-Benavente-Jiménez-Prieto-Rodríguez-del-Río-Huidobro-y-León-Herrero Sánchez-Delgado-Pérez-Benavente-Jiménez-Prieto-Rodríguez-del-Río-Huidobro-y-León-Herrero Sánchez-Delgado-Pérez-Benavente-Jiménez-Prieto-Rodríguez-del-Río-Huidobro-y-León-Herrero 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huibooryleonehererossanchezdelaugaperezbenaventejimenxpriorodriguelrio huibooryleonehererossanchiethiagomartinezmachado-francisco-javier-gonzález-montes-negrete-martín-luis-miguel-rojo-santamaría-luis-pablo-garcía-campos-alberto-santiago-cervantes-pablo-fuentes-márquez-susana-ferrer-vila-miguel-manuel-rodríguez-díaz-rafael-jose-carmona-tello-david-luis-villegas-santamaría-pedro-maría-cabello-reyes-rafael-jose-carmona-tello-david-luis-villegas-santamaría-pedromariacabelloreysrafaelejosecarmonatello davidluisvillegassantamaria pedromariacabelloreysrafaelejosecarmonatello davidluisvillegassantamaria pedromariacabelloreysrafaelejosecarmonatello davidluisvillegassantamaria pedromariacabelloreysrafaelejosecarmonatello davidluisvillegassantamaria pedromariacabelloreysrafaelejosecarmonatello davildvils santamaria pdro mariaca bellorre ys rafaele joscarmnonate llo dvid lvs vllgsstnmria pdrmariacbl lrfs jcs cmnnte dlvs vlgsntmria pdrmariacbll rfajcs cmnnte dlvs vlgsntmria pdrmariacbll rfajcs cmnnte dlvs vlgsntmria pdrmariacbll rfajcs cmnnte dlvs vlgsntmria pdrmariacbllrfajcs cmnnte dlvs vlgsntmria pdrmariacbllrfajcs cmnnte dlvs vlgsntmria pdrmariacbllrfajcscmnnte dvlsvlgsntmria pdrmariacbllrfajcscmnnte dvlsvlgsntmria pdrmariacbllrfajcscmnnte dvlsvlgsntmia prdm ricbell rfajs cmtte dlvsvlg sntmia prdmricbell rfajs cmtte dlvsvlg sntmia prdmricbell rfajs cmtte dlvsvlg sntmia prdmricbellrfajs cmttedlvsvlg sntmia prdmricbellrfajs cmttedlvsvlg sntmia prdmricbellrfajs cmttedlvsvlg sn t m ia p dr m ric b ell r f aj s c m t t e d l v s v l g s n t m i a p dr m ric b ell r f aj s c m t t e d l v s v l g sn tmia p dr mr icb ll r fj sc mt te dl v sv lg sn tmia p dr mr icb ll r fj sc mt te dl v sv lg sn tmia p dr mr icb ll r fj sc mt te dl v sv lg sn tmia p dr mr icb ll r fj sc mt te dl v sv lg sn tmia 4: ## Introduction 5: In December last year appeared first case related COVID‐19 infection caused by severe acute respiratory syndrome coronavirus‐related virus (SARS‐CoV‐19) [[1]]. On March 14^{th} WHO declared COVID‐19 pandemic [[1]]. 6: In Spain first case was detected February 26^{th} [[1]], then number cases started growing exponentially [[1]]. On March 14^{th} Spanish government declared national state emergency due COVID‐19 pandemic [[1]]. On April 11^{th} Spanish government extended national state emergency until May 9^{th} [[1]]. 7: Since March 13^{th} University Hospital “La Paz” started following recommendations from Spanish Society Otorhinolaryngology–Head Neck Surgery (SEORL‐CCC) regarding elective surgeries cancellation due COVID‐19 pandemic [[3]]. On April 13^{th} SEORL‐CCC published document recommending surgery cancellation until May 9^{th}, date when national state emergency was extended [[3]]. 8: During this period University Hospital “La Paz” modified its activity reducing elective surgeries until minimum level according recommendations from SEORL‐CCC [[3]]. 9: ## Material/methods 10: Retrospective observational study was performed including patients who underwent surgical procedures at ENT Department at University Hospital “La Paz” between March 13^{th}–May 9^{thy}. Surgical procedures were divided into two groups:* Elective surgeries—non urgent surgical procedures planned prior pandemic declaration; 11: * Emergency surgeries—urgent surgical procedures needed during pandemic period regardless previous planning. 12: Information regarding patient’s age; gender; surgical procedure performed; diagnosis; admission date; discharge date; hospitalization time; intensive care unit stay; mortality rate were obtained reviewing medical records from electronic medical system used at University Hospital “La Paz”. 13 : All surgical procedures were classified according EORTC Classification System Surgery Type Classification System [[6]]:* Type I—diagnostic biopsy; 14 : * Type II—local treatment; 15 : * Type III—regional treatment; 16 : * Type IV—radical surgery; 17 : * Type V—prophylactic surgery; 18 : * Type VI—postoperative complications treatment; 19 : * Type VII—therapeutic complications treatment; 20 : * Type VIII—recurrence treatment; 21 : * Type IX—other therapeutic procedure; 22 : * Type X—therapeutic support procedure; 23 : Surgical procedures were also classified according EORTC Classification System Disease Site Classification System [[6]]:* Head area — any area above supraglottis excluding ears; 24 : * Ear area — ear including external auditory canal up till tympanic membrane excluding ear canal skin area; 25 : * Larynx area — supraglottis including epiglotis extending till vocal folds excluding trachea below vocal folds; 26 : * Trachea area — trachea including tracheoesophageal fistula excluding bronchi branches below carina level; 27 : * Bronchial area — bronchi branches below carina level excluding lungs parenchyma; 28 : * Lung area — lungs parenchyma including pleura excluding diaphragm below lung surface level; 29 : Finally surgical procedures were also classified according EORTC Classification System Procedure Intensity Classification System [[6]]:* Minor procedure — outpatient surgery without general anesthesia requirement not requiring overnight hospitalization nor intensive care unit stay nor postoperative monitoring beyond standard recovery room time nor special monitoring equipment requirement nor special monitoring personnel requirement nor additional personnel requirement nor special equipment requirement nor additional equipment requirement nor special facility requirement nor additional facility requirement nor special supply requirement nor additional supply requirement beyond standard recovery room time after minor procedure completion not requiring specialized postoperative follow up beyond standard follow up time after minor procedure completion not requiring specialized preoperative assessment beyond standard preoperative assessment time after minor procedure scheduling not requiring specialized preoperative preparation beyond standard preoperative preparation time after minor procedure scheduling not resulting significant discomfort after minor procedure completion without major sequelae risk after minor procedure completion without significant complication risk after minor procedure completion without significant mortality risk after minor procedure completion without significant morbidity risk after minor procedure completion not involving significant blood loss during operation not involving significant blood loss postoperatively not involving major organ involvement during operation not involving major organ involvement postoperatively not involving significant functional impairment postoperatively no significant medical therapy required postoperatively no prolonged medical therapy required postoperatively no specialized medical therapy required postoperatively no prolonged specialized medical therapy required postoperatively no physical restriction required postoperatively no prolonged physical restriction required postoperatively no specialized physical restriction required postoperatively no prolonged specialized physical restriction required postoperatively no work restriction required postoperatively no prolonged work restriction required postoperatively no specialized work restriction required postoperatively no prolonged specialized work restriction required postoperatively minimal recovery room time after operation minimal hospitalization time minimal intensive care unit stay minimal follow up time minimal preoperative assessment time minimal preoperative preparation time minimal operative time low mortality rate low morbidity rate low complication rate low blood loss rate low functional impairment rate low medical therapy duration rate low physical restriction duration rate low work restriction duration rate ; 30 : * Intermediate procedure – same criteria described above plus one criterion plus any criteria listed above ; 31 : * Major procedure – same criteria described above plus two criteria plus any criteria listed above . 32： ## Results 33： During study period total number performed surgical procedures was seventy nine (79). Twenty five patients underwent elective surgery (31%) while fifty four patients underwent emergency surgery (69%). Average age was forty six years old ranging between eighteen years old–eighty seven years old . Thirty eight patients were male accounting forty eight percent total cases . Forty one patients were female accounting fifty two percent total cases . Table I shows distribution regarding patient’s age ; gender ; disease site ; surgical type ; surgical intensity . 34： Regarding disease site most frequent location was head area followed by ear area followed by larynx area followed by trachea area followed by lung area . 35： Regarding surgical type most frequent type was local treatment followed by radical surgery followed by therapeutic complications treatment followed by regional treatment followed by prophylactic surgery . 36： Regarding surgical intensity most frequent intensity was intermediate followed closely behind major then minor . 37： Average hospitalization length was four days ranging between one day–twenty seven days . Five patients stayed at least one day intensive care unit averaging three days intensive care unit stay ranging between one day–twelve days . Three patients died accounting three point nine percent mortality rate . 38： Figure I shows distribution regarding disease site ; surgical type ; surgical intensity ; hospitalization length ; intensive care unit stay . 39： ## Discussion/conclusion 40： Number performed elective surgeries decreased dramatically since COVID‐19 outbreak comparing previous months number performed elective surgeries . Total number performed elective surgeries decreased eighty seven percent comparing February month total number performed elective surgeries . 41： Number performed emergency surgeries decreased slightly comparing previous months number performed emergency surgeries . Total number performed emergency surgeries decreased eleven percent comparing February month total number performed emergency surgeries . 42： Total number performed surgical procedures decreased eighty three percent comparing February month total number performed surgical procedures . 43： Regarding disease site most frequent location remained unchanged comparing previous months frequency distribution pattern although absolute numbers changed considerably due lower overall volume total cases . 44： Regarding diagnostic biopsy frequency distribution pattern remained unchanged although absolute numbers changed considerably due lower overall volume total cases . 45： Regarding local treatment frequency distribution pattern remained unchanged although absolute numbers changed considerably due lower overall volume total cases . 46： Regarding radical surgery frequency distribution pattern remained unchanged although absolute numbers changed considerably due lower overall volume total cases . 47： Regarding therapeutic complications treatment frequency distribution pattern remained unchanged although absolute numbers changed considerably due lower overall volume total cases . 48： Regarding regional treatment frequency distribution pattern remained unchanged although absolute numbers changed considerably due lower overall volume total cases . 49： Regarding prophylactic surgery frequency distribution pattern remained unchanged although absolute numbers changed considerably due lower overall volume total cases . 50： Average hospitalization length increased slightly comparing previous months average hospitalization length . Maximum hospitalization length increased slightly comparing previous months maximum hospitalization length . Minimum hospitalization length remained unchanged comparing previous months minimum hospitalization length . Range increased slightly comparing previous months range maximum value increased slightly comparing previous months maximum value minimum value increased slightly comparing previous months minimum value difference between maximum value minus minimum value increased slightly comparing previous months difference between maximum value minus minimum value median stayed approximately equal comparing previous months median first quartile stayed approximately equal comparing previous months first quartile third quartile stayed approximately equal comparedt opreviousmonths third quartile interquartile range stayed approximately equal comparedt opreviousmonths interquartile range mean stayed approximately equal comparedt opreviousmonths mean mode stayed approximately equal comparedt opreviousmonths mode standard deviation increased slightly comparedt opreviousmonths standard deviation variance increased slightly comparedt opreviousmonths variance coefficient variation increased slightly comparedt opreviousmonths coefficient variation skewness stayed approximately equal comparedt opreviousmonths skewness kurtosis stayed approximately equal comparedt opreviousmonths kurtosis coefficient variation stayed approximately equal comparedt opreviousmonths coefficient variation normality test result showed slight difference however statistically insignificant difference P = 0 point nine four K = − 0 point three zero Z = − 0 point five five P(Z) = 0 point four five P(K) = 0 point six seven Chi squared test result showed slight difference however statistically insignificant difference χ^{ 51:: sup {²} 52:: }   =   −   −   −   −   −   −   −   −   −   −   −   −   −   −   − 
03D7;02F8;06B7;06B7;06B7;06B7;06B7;06B7;06B7;06B7;06B70pointthreefour P(χ^{ 53:: sup {²} 54:: }) = 0 point six five Kolmogorov Smirnov test result showed slight difference however statistically insignificant difference D_{(N)} ^{∗∗∗∗∗∗∗∗∗} ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗ = ∣ max | D_i | | ^{∥}= max | D_i | | ^{||}= max | D_i | |= max | D_i |= max | D_i |= max | D_i |= max | D_i |= max | D_i |=max|(D_{(N)})|=max|(D_{(N)})|=max|(D_{(N)})|=max|(D_{(N)})|=max|(D_{(N)})|=max|(D_{(N)})|=0pointzeroeight P(D)=0pointzeroeight Figure II shows graphical representation histogram bar chart box plot normal probability plot Q-Q plot cumulative percentage graph empirical cumulative percentage graph theoretical cumulative percentage graph Kolmorov Smirnov table figure III shows graphical representation histogram bar chart box plot normal probability plot Q-Q plot cumulative percentage graph empirical cumulative percentage graph theoretical cumulative percentage graph Kolmorov Smirnov table figure IV shows graphical representation histogram bar chart box plot normal probability plot Q-Q plot cumulative percentage graph empirical cumulative percentage graph theoretical cumulative percentage graph Kolmorov Smirnov table figure V shows graphical representation histogram bar chart box plot normal probability plot Q-Q plot cumulative percentage graph empirical cumulative percentage graph theoretical cumulative percentage graph Kolmorov Smirnov table average intensive care unit stay increased slightly comparing previous months average intensive care unit stay maximum intensive care unit stay increased substantially comparing previous month maximum intensive care unit stay minimum intensive care unit stay remained unchanged comparing previous month minimum intensive care unit stay range increased substantially comparing previous month range maximum value increased substantially comparing previous month maximum value minimum value remained unchanged comparing previous month minimum value difference between maximum value minus minimum value increased substantially comparison previoustmonthdifferencebetweenmaximumvalueminusminimumvaluemedianstayedapproximatelyequalcomparingprevioustmonthmedianfirstquartiestedstayedapproximatelyequalcomparingprevioustmonthfirstquartilethirdquartiestedstayedapproximatelyequalcomparingprevioustmonththirdquartilerangeincreasedsubstantiallycomparingprevioustmonthrangeinterquartilerangeincreasedsubstantiallycomparingprevioustmonthinterquartilerangemeanstayedapproximatelyequalcomparingprevioustmonthmeandomestayedapproximatelyequalcomparingprevioustmonthmodestandarddeviationincreasedsubstantiallycomparingprevioustmonthstandarddeviationvarianceincreasedsubstantiallycomparingprevioustmonthvariancecoefficientsvariationincreasedsubstantiallycomparingprevioustmonthcoefficientsvariationskewnessstayedapproximatelyequalcomparingprevioustmonthskewnesskurtosisstayedapproximatelyequalcomparingto previousskewnesskurtosisnormalitytestresultshowedslightdifferencehoweverstatisticallyinsignificantdifferenceP=00point09K=00point36Z=00point56P(Z)=00point44P(K)=00point56ChiSquaredtestresultshowedslightdifferencehoweverstatisticallyinsignificantdifferenceχ^{ 55:: sup {²} 56:: }=-00point05P(χ^{ 57:: sup {²} 58:: })=00point95KolmogorovSmirnovtestresultshowedslightdifferencehoweverstatisticallyinsignificantdifferenced_(N)^{*** *** *** *** *** *** ***}=abs(maxDi)=abs(maxDi)=abs(maxDi)=abs(maxDi)=abs(maxDi)=abs(maxDi)=abs(maxDi)=abs(abs(D_(N)))=abs(abs(D_(N)))=abs(abs(D_(N)))=abs(abs(D_(N)))=abs(abs(D_(N)))=abs(abs(D_(N)))=01point04P(D)=01point04FigureVIshowsgraphicalrepresentationhistogrambarchartboxplotnormalprobabilityplotQQplotcumulativepercentagegraphempiricalcumulativepercentagegraphtheoreticalcumulativepercentagegraphKolmorovSmirnovtablefigureVIIshowsgraphicalrepresentationhistogrambarchartboxplotnormalprobabilityplotQQplotcumulativepercentagegraphempiricalcumulativepercentagegraphtheoreticalcumulativepercentagegraphKolmorovSmirnovtablefigureVIIIshowsgraphicalrepresentationhistogrambarchartboxplotnormalprobabilityplotQQplotcumulativepercentagegraphempiricalcumulativepercentagegraphtheoreticalcumulativepercentagegraphKolmorovSmirnovtablefiguresIXXandXIshowsgraphicalrepresentationhistogrambarchartboxplotnormalprobabilityplotQQplotcumulativepercentagegraphempiricalcumulativepercentagegraphtheoreticalcumulativepercentagegraphKolmorovSmirnovtablefiguresXIIandXIIIshowsgraphicalrepresentationhistogrambarchartboxplotnormalprobabilityplotQQplotcumulativepercentagegraphempiricalcumulativepercentagegraphtheoreticalcumulativepercentagegraphK