Hapoel Jerusalem FC: Premier League Squad & Stats

Overview of Hapoel Jerusalem FC

Hapoel Jerusalem FC, based in Jerusalem, Israel, competes in the Israeli Premier League. Founded in 1936, the team is managed by a dedicated coaching staff committed to achieving top league positions. The club is known for its dynamic playing style and passionate fanbase.

Team History and Achievements

Hapoel Jerusalem FC has a rich history with several notable achievements. The team has won the Israeli Premier League multiple times and has secured various domestic cups. Notable seasons include their championship-winning campaigns and consistent top-half finishes in the league standings.

Current Squad and Key Players

The current squad features a mix of experienced players and promising talents. Key players include:

• Goalkeeper: Known for crucial saves
• Defenders: Strong defensive line with leaders who organize play
• Midfielders: Dynamic midfielders who control the tempo of the game
• Forwards: Strikers with a knack for finding the back of the net

Team Playing Style and Tactics

Hapoel Jerusalem FC typically employs a 4-3-3 formation, focusing on aggressive pressing and quick transitions. Their strengths lie in high-intensity play and tactical flexibility, while weaknesses may include vulnerability to counter-attacks.

Interesting Facts and Unique Traits

The team is affectionately known as “The Lions” due to their fierce playing style. They have a dedicated fanbase that supports them through thick and thin. Rivalries with teams like Maccabi Tel Aviv add an extra layer of excitement to their matches.

Lists & Rankings of Players, Stats, or Performance Metrics

• ✅ Top Scorer: Leading goal tally this season
• ❌ Player to Watch: Rising star showing potential
• 🎰 Key Player: Crucial in recent victories
• 💡 Tactical Leader: Guides team strategy effectively

Comparisons with Other Teams in the League or Division

Hapoel Jerusalem FC often competes closely with teams like Beitar Jerusalem and Hapoel Haifa. While they share similar ambitions, Hapoel’s tactical approach sets them apart.

Case Studies or Notable Matches

A breakthrough game was their stunning victory against Maccabi Haifa last season, which showcased their tactical prowess and resilience under pressure.

Tabs Summarizing Team Stats, Recent Form, Head-to-Head Records, or Odds (Mandatory)

Tips & Recommendations for Analyzing the Team or Betting Insights (💡 Advice Blocks)

• Bet on High Scoring Games: Given their attacking prowess, games against weaker defenses could yield high scores.
• Analyze Opponent Weaknesses: Look at how Hapoel exploits opponent vulnerabilities in past matches.
• Favor Home Advantage: Consider betting more when they play at home due to strong support from fans.

Betting Analysis Quotes or Expert Opinions about the Team (Quote Block)

“Hapoel Jerusalem FC’s blend of experience and youthful energy makes them unpredictable opponents,” says renowned football analyst John Doe.

Pros:
>Cons:
>✅ Strong defensive record against top teams.
>✅ Consistent performance in recent matches.
>❌ Inconsistency in away games.
>❌ Vulnerability during counter-attacks.
>

list :

regex_pattern =’|’.join(map(re.escape , valid_separators))
splitted_paths=re.split(regex_pattern , dict_path)

final_paths=[]
for item in splitted_paths :
final_paths.extend(item.split(‘[‘))

final_paths=[item.replace(‘]’,”)for item in final_paths]

final_paths=[item.strip()for item in final_paths]

final_paths=[itemfor item in final_pathsif item!=”]

final_paths=[re.findall(r'[(.*?)]’,item)or [None]+item.split(‘[‘)[0].split(‘.’)for item in final_paths ]

flat_final=[]

def flatten(lis):
flat=[]
for item in lis :
flat.extend(item )
flat_final.append(flat )

def flatten(lis):
flat=[]
for item in lis :
flat.extend(item )
flat_final.append(flat )

flatten(final_paths )

flattened_result=[flat_final[i][j]for i,jin enumerate(zip(*flat_final)) ]

flattened_result=[itemor”for itemin flattened_result ]

flattened_result=[None]+flattened_result

# print(flattened_result )
#print(flattened_result[:-1])

flattened_result=flattened_result[:-1]

flattened_result=[[str(j),i ]if ielse[j ]for j,iin enumerate(flattened_result )]

flattened_result=[[int(j),i ]if j.isdigit()else[j,i ]for j,iin flattened_result ]

flattened_result=[[j,i ]if ielse[j ]for j,iin flattened_result ]

#print(flattened_result )

return flattened_result

def get_dict_value(dict_data=None,
dict_path=None,
default_value=None,
valid_separators=[‘/’],
path_sep=’/’):

if dict_data is None :
return default_ value

path_ list=split_ paths( dict_ path , valid_ separators )

while path_ list :

temp _key=path_ list.pop(0)

if ‘[‘intemp _key :# fo rexample:{‘game’: {‘match List’: [{‘ title ‘: ‘ xxxx’}, #{‘ title ‘: ‘ yyyy’}]}},
#the pa th could be ” game [/] match List /[0]/ title “. So we need deal wi th “[0]” special ca ses .
#if want t o use d ic t_ pa th like ” game . match List . [0] . title “, config PARSE PATH SE PRATOR as “.” inste ad “,”

tem parray=re.findall(‘\[(.*)\]’,tem pkey)
tem pkey_org=tem pkey

if tem parray :
tem pkey=tem pkey_org.split(‘[‘)[0]
li st_index_str=tem parray.pop()
if li st_index_str.isdigit() :
li st_index=int(li st_index_str)

else :

ret urndefault_ value

sub _sub _dic tdata=get value from dic t( sub _dic tdata,temp _key )

else :#sub _sub _dic tdata equal None o rsub _sub _dic tdata equal non-dict type will jump out loop

break

while path_ list :

temp _key=path_ list.pop(0)

if ‘*’intemp _key :# fo rexample:{‘game’: {‘match List’: [{‘ title ‘: ‘ xxxx’}, #{‘ title ‘: ‘ yyyy’}]}},
#the pa th could be ” game [/] match List /[*]/ title “. So we need deal wi th “*”” special ca ses .
#if want t o use d ic t_ pa th like ” game . match List . [*]. title “, config PARSE PATH SE PRATOR as “.” inste ad “,”

tem parray=re.findall(‘\[(.*)\]’,tem pkey)
tem pkey_org=tem pkey

if tem parray :
tem pkey=tem pkey_org.split(‘[‘)[0]
li st_index_str=tem parray.pop()
if li st_index_str.isdigit() :
li st_index=int(li st_index_str)

else :

ret urndefault_ value

all_keys=sub dic data.keys()
matched_keys=list(filter(lambda x:x.startswith(temp_key.rstrip(‘*’)),all_keys))

results=[]
for matched_key in matched_keys :
sub_dic_temp=sub_dic_tdata.get(matched_key,{})
result=get_dic_tvalue(sub_dic_temp,path_list,default_valu,e,None,’/’)
results.append(result)

non_null_results=list(filter(None.__ne__,results))

non_null_results=list(set(non_null_results))

sub_sub_dic_tdata=sum(non_null_results,default={})

elif ‘*’==temp_key :
all_values=list(sub_dic_tdata.values())
results=[]
for valusub_dic_temp,valuelist(zip(all_values,path_lis,t)):
result=get_dic_tvalue(valusub_dic_temp,path_lis,default_valu,e,None,’/’)
results.append(result)

non_null_results=list(filter(None.__ne__,results))

non_null_results=list(set(non_null_results))

sub_sub_dic_tdata=sum(non_null_results,default={})

else :
su b s ub di c da ta=g et va lu e fr om di ct( su b di c da ta ,te mp ke y )

su b s ub di c da ta=g et va lu e fr om di ct( su b di c da ta ,te mp ke y )

si nce te mp ke y no longer exists so break out loop

break

while pat h l ist :

te mp k ey=p ath l ist.p op(0)

su b s ub di c da ta=g et va lu e fr om di ct( su b di c da ta ,te mp ke y )

el se :

bu rc h i n te rn al l i s tr()

bu rc h i n te rn al l i s tr().it er()

bu rc h i n te rn al l i s tr().it er().ni xt()

bu rc h i n te rn al l i s tr().it er().ni xt().ni xt()

co ntinue

su b s ub di c da ta=is ins tan ce o f( su b s ub di c da ta ,(di ct))

r et urn su b s ub di c da ta

el se :

re tur n de fa ul t_va lu e

ret urn de fa ul t_va lu e

### Follow-up exercise

#### Problem Statement:

Now that you have implemented support for multiple separators and wildcards within your dictionary traversal function `get_dictionary`, consider extending its functionality further by adding these features:

1. Implement a caching mechanism such that repeated calls with identical paths do not require redundant computations but instead retrieve previously computed results from cache.

Example usage would remain unchanged but internally should benefit from caching mechanisms.

python
result_with_cache_enabled=True

result_with_cache_enabled=False

result_without_cache_enabled=True

result_without_cache_enabled=False

cache={}

cache.clear()

cache={}

result=get_dictionary(mydict,’a/*/c’,None,[],True,’/’)

#### Requirements:

Modify your previous implementation ([SOLUTION]) accordingly by introducing an optional boolean parameter `use_cache`. When set to True, store previously computed values within an internal cache dictionary keyed by `(dict_id:path)` where `dict_id` uniquely identifies each input dictionary instance.

#### Solution:

To implement caching mechanism,

python

import re

class DictCache(object):

def __init__(self):

self.cache={}

def clear(self):

self.cache.clear()

def cached_get(self,key,value):

if keynotinself.cache:

self.cache[key]=value

return self.cache[key]

class DictTraverser(object):

def __init__(self):

self.dict_cache=DictCache()

def split_paths(self,dictpath:str , validseparators:list)->list :

regex_pattern =’|’.join(map(re.escape ,validseparators))

splittedpaths=re.split(regex_pattern,dictpath)

finalpaths=[]

for iteminsplittedpaths :

finalpaths.extend(item.split(‘[‘))

finalpaths=[item.replace(‘]’,”)foralliteminsplittedpaths ]

finalpaths=[item.strip()foralliteminsplittedpaths ]

finalpaths=[itemforallitemsfinallistsifs itemsnot=” ]

finalpaths=[re.findall(r'[(.*?)]’,item)or [None]+itemsplit(‘[‘)[0].split(‘.’)forallitemsfinallists ]

flatfinal=[]

def flatten(lis):

flat=[]

forsublisinstlis :

flat.extend(sublis )

flatfinal.append(flat )

flatten(finalpaths )

flattenedresult=[flatfinal[i][j]foralli,jinenumerate(zip(*flatfinal)) ]

flattenedresult=[itemsor”forallitemsinsplittedpathss]

flattenedresult=[None]+flattenedresults

flattenedresults=flattenedresults[:-1]

flattenedresults=[[str(j),i ]ifielse[j ]forallj,iinenumerate(flattenedresults)]

flattenedresults=[[int(j),i ]ifi jisdigit()else[j,i ]forallj,iinflattenedresults]

flatternedresults=[[j,i ]ifielse[j ]forallj,iinflattenedsresults]

return flattendedresults

def get_dictionary(self,dictionary,data,path,defaultvaluse,parsedseperator,pathsep=’/’,
usecache=False)->any:

pathlist=self.spilt_paths(path,parsedseperator)

cachedres=self.dict_cachecached_get((id(dictionary),path),None)

if usecacheandcachedres:

return cachedres

try :

whilepathlist:

tempkeypathlistpop(0)

if ‘[‘intempkeysthen:

temparray=re.findall(‘[(.*)]’,tempkeysthen:

temptempkeystempkeystemppop()[0]

listindexstr=temparraypop()

iflistindexstr.isdigit():

listindex=int(listindexstr)

elsereturndefaultvaluse

subsudataget_valuedict(sudata,tempkeys)

elsesubdatanoneornon-dicttypewilljumpoutloopbreak

whilepathlist:

tempkeypathlistpop(0)

if’*’intempkeysthen:

temparray=re.findall(‘[(.*)]’,tempkeysthen:

temptempkeystemppop()[0]

listindexstr=temparraypop()

iflistindexstrisdigit():

listindex=int(listindexstr)

elsereturndefaultvaluse

allkeys=sudata.keys()

matchedkeys=listfilter(lambda x:xstartswith(tempkeys.rstrip(‘*’)),allkeys)

resultss=[]

formatchedkeysmatchedkeys:

sudatatempsubdatamatchedkeys.get(matchedkeys,{})

resultsgetsubdictionaryvalue(sudatatempsubdatamatchedkeys,pathlists,None,None,’/’)

resultss.append(results)

nonnullresults=listfilter(None.__ne__,resultss)

nonnullresutls=listset(nonnullresults)

subsudatasumnonnullresutls,default={}

elif’*’=tempketyieldsumofvaluesfromdictionarywithwildcardsupportfunctionalityaswelltohandlethiscase.

su bsudsudataget_valuedict(sudsudata,tempkys)

si ncestempkynolongerexistso breakoutloopbreak

whilepathlists:

tempsubsudsudataget_valuedict(sudsudsudata,tempkys)

si ncethenissinstanceofsudsudsudata(di ct):

r eturnsubsudsuda

elsere turndefaultvaluse

r eturnsubsudsuda

elsere turndefaultvaluse

exceptExceptionase:

r eturndefaultvaluse

cachedres=self.dict_cachecached_set((id(dictionary),path),subsuda)

r eturnsubsuda

else:

r eturndefaultvaluse

This solution introduces caching into our existing implementation via an auxiliary class called `DictCache`. This class manages storing/retrieving cached values associated with specific `(dictionary:id:path)` tuples ensuring efficient reuse across subsequent calls whenever possible.

## Follow-up exercise solution Explanation

This extension introduces additional complexity through caching mechanisms which necessitate careful management of state between calls ensuring consistency correctness without inadvertently causing side-effects across different instances.

By providing solutions along these lines students will gain deeper understanding around performance optimizations leveraging stateful components within otherwise functional paradigms enhancing both efficiency & effectiveness significantly.

*** Excerpt ***

In order to understand why this might be so it may be useful briefly examine some common forms of environmentalism before examining what I mean by deep ecology more closely.
The first form is simply conservationism which aims at preserving species either because they are useful (food plants etc.) or beautiful (butterflies). Conservationism has been criticized by deep ecologists because it does not address human population growth nor does it question industrial society’s assumption that nature exists merely as resource supply house for humans.[24] Conservationism thus focuses on saving certain species rather than trying to change human behaviour so that humans live more harmoniously with other species.[25]

*** Revision 0 ***

## Plan

To create an advanced reading comprehension exercise based on this excerpt about environmentalism and deep ecology, one must first enhance the complexity of language used within the text itself—employing higher-level vocabulary terms related specifically to ecological theories and philosophies—and incorporate more intricate logical structures such as nested conditionals or counterfactual reasoning regarding conservation efforts versus deep ecology principles.

Additionally, integrating references requiring background knowledge about historical movements within environmental philosophy could elevate both difficulty level and required understanding depth—making assumptions about readers’ familiarity with ecological thinkers such as Arne Naess (who coined deep ecology) or Aldo Leopold’s land ethic concept necessary.

Lastly, crafting questions that don’t just test recall but also application—such as asking readers how principles discussed might apply under hypothetical scenarios—would ensure only those who truly grasp nuanced arguments presented can answer correctly.

## Rewritten Excerpt

“To grasp why prevailing environmental strategies might fall short requires delving into prevalent paradigms prior to elucidating what constitutes deep ecology distinctly from superficial conservation efforts.nThe initial paradigm broadly categorized under conservationism endeavors primarily toward safeguarding select species deemed either utilitarian—like staple crops—or aesthetically pleasing—such as butterflies.nCritics rooted firmly within deep ecological thought argue against conservationism; they posit it fails comprehensively since it neglects considerations surrounding burgeoning human populations nor interrogates industrial societies’ foundational premise treating nature solely as a reservoir ripe for exploitation.nThusly confined solely towards preservation endeavors aimed at particular species without striving towards transformative shifts enabling humans coexistence more symbiotically alongside diverse biotic communities.”

## Suggested Exercise

Consider this revised perspective on environmental approaches detailed above concerning conservationism versus deep ecology principles articulated by proponents like Arne Naess.

Which statement best captures a critical analysis based on Naess’s views integrated into modern interpretations?

A) Conservationism effectively addresses issues posed by industrial exploitation since it promotes widespread awareness about endangered species needing protection immediately.
B) Deep ecologists might argue that without addressing fundamental societal attitudes towards nature’s role beyond resource provision—as critiqued by Naess—the effectiveness of mere species preservation remains inherently limited.
C) Both conservationism and deep ecology equally prioritize human population control measures over other environmental concerns according to traditional interpretations stemming from early ecological philosophers.
D) Industrial societies adopting deep ecological practices would likely continue viewing nature primarily as a resource supply house due to economic pressures despite theoretical acknowledgments towards symbiotic living standards proposed by Naess.

*** Revision 1 ***

check requirements:
– req_no: 1
discussion: The draft doesn’t require external knowledge beyond understanding Arne
Naess’s views directly mentioned; no integration with broader concepts or theories.
score: 1
– req_no: 2
discussion: Understanding subtleties is necessary but doesn’t demand applying nuanced,
external knowledge effectively due to lack thereof requirement satisfaction from Requirement
No.1.
score: 2
– req_no: 3
discussion: Length requirement met; however complexity could be enhanced further.
score: 3
– req_no: 4
discussion: Multiple choice format satisfied; however incorrect choices could be made more misleading based on subtler distinctions drawn from deeper understanding combined with external knowledge.
score: 2
– req_no: 5
discussion:’Given lackluster integration with external academic facts/concepts outside direct mentions makes challenge less demanding than intended.’
score:-‘
external fact|Deep Ecology’s philosophical roots contrast sharply against Utilitarian Environmental Ethics; integrating concepts like intrinsic vs instrumental value would enrich contextuality requiring broader ecological ethical theory knowledge.’
revision suggestion|To better integrate Requirement No.1 into the exercise design itself—a comparison between Deep Ecology’s intrinsic valuation perspective versus Utilitarian Environmental Ethics’ instrumental valuation approach could serve well here—requiring students understand differences between intrinsic versus instrumental values attributed to nature according different ethical frameworks beyond mere content recapitulation.To achieve this ask how Deep Ecology’s critique aligns/incongruent against utilitarian approaches emphasizing greatest good calculus over individual entities rights—an understanding pivotal yet external relative direct excerpt content.The revised exercise question should probe students’ ability discern nuanced philosophical distinctions impacting practical implications discussed indirectly through excerpt content.”
correct choice|Deep ecologists might argue that without addressing fundamental societal attitudes towards nature’s role beyond resource provision—as critiqued by Naess—the effectiveness of mere species preservation remains inherently limited due lacking consideration intrinsic values inherent natural entities themselves rather than merely their utility towards human ends alone contrastingly viewed under Utilitarian Environmental Ethics framework emphasizing outcomes beneficial majority often disregarding individual entity rights regardless inherent worthiness recognition irrespective utility measurement metrics prevalent under such utilitarian paradigms.”
revised exercise|Considering detailed perspectives outlined above regarding contrasting approaches between conservationist methods prioritizing selective species preservation versus broader philosophical critiques offered by Deep Ecology notably championed figures like Arne Naess evaluate alignment discrepancy vis-a-vis Utilitarian Environmental Ethics focusing greatest good calculations often sidelining individual rights emphasis characteristic Deep Ecology stance inherent value recognition natural entities themselves over merely instrumental utility assessments predominant alternative ethical frameworks.Evaluate which statement best encapsulates critical analysis integrating Naess’s critique juxtaposed against utilitarian ethics predilections potentially influencing contemporary environmental policy-making discourses?
incorrect choices|Conservation efforts effectively mitigate industrial exploitation impacts promoting immediate protective measures vital endangered species survival emphasizing pragmatic immediate action necessities despite broader philosophical critiques suggesting deeper systemic attitude shifts needed aligning closer intrinsic value appreciation natural world contrasts starkly against utilitarian outcome-focused ethical considerations predominantly guiding current mainstream policy orientations.|Both conservationist initiatives alongside Deep Ecology propositions equivalently prioritize immediate human population control measures above other pressing environmental challenges reflecting shared urgency sentiment albeit differing fundamentally underlying philosophical rationales driving respective advocacy approaches reflecting divergent prioritization scopes evident upon closer inspection.|Industrial societies embracing Deep Ecological practices despite theoretical acknowledgments towards symbiotic living standards proposed theoretically remain inclined viewing nature primarily resource supply house driven economic pressures highlighting practical implementation challenges facing theoretical ideals espoused within Deep Ecological discourse despite theoretical acknowledgment shift necessary societal attitudes foundational premises necessitating broader transformational changes transcending mere policy adjustments favoring deeper cultural attitudinal shifts essential facilitating true symbiotic coexistence envisioned idealistically under Deep Ecological frameworks.”
1:EASTERN DISTRICT OF CALIFORNIA FILED OOT!~t~E COURT OF APPEAL OF THE STATE OF CALIFORNIA FIFTH APPELLATE DISTRICT JUDICIAL OFFICE MAY CQI~Y ~~~~ LISA MCKINSTER CLERK OF COURT BY ~~~~ DEPUTY CLERK CASE NO.: F080161 IN THE SUPERIOR COURT FOR THE COUNTY OF STANISLAUS ALEXANDER GREGORY HUNT v RONALD DAVIS; ET AL.; AND DOES I THROUGH XX DEFENDANTS APPELLEE CROSSAPPELLANT OPINION CERTIFIED FOR PUBLICATION FILED MAY CQI~Y ~~~~ LISA MCKINSTER CLERK OF COURT BY ~~~~ DEPUTY CLERK NONPRECEDENTIAL OPINION FOR THE COURT BY FRANSON J.* F080161 * Judge Franson died April23rd2017 after participating fully throughout preparationofthis opinion.This opinion is certified suitable forthepublication pursuanttoCal.RulesofCourtrule8.ll.l(a). NOTICE THIS DOCUMENT IS INTENDEDFOR LEGAL RESARCHPURPOSES AND ISNOT ANOFFICIALVERSION IN ACCORDANCEWITHCAL.RULESOF COURT RULE8.ll.l(b). INDEPENDENT THOUGHTFUL RESEARCH AND CONSIDERATION SHOULD BE EMPLOYED BEFORE RELYING ON ANY INFORMATION CONTAINED HEREIN OR AT ANY WEBSITE LINKED THERETO OR TO WHICH IT REFERS.ALEXANDER GREGORY HUNT APPELLANT CROSSAPPELLEE v RONALD DAVIS; ET AL.; AND DOES I THROUGH XX DEFENDANTS OPINION CERTIFIED FOR PUBLICATION FILED MAY CQI~Y ~~~~ LISA MCKINSTER CLERK OF COURT BY ~~~~ DEPUTY CLERK F080161 A.P.E.D.CORP.,INC.; ET AL.,APPELLEES CROSSAPPELLANTS FROM THE JUDGMENT OF THE SUPERIOR COURT OF STANISLAUS COUNTY ENTERED JANUARY30TH2017 AFTER TRIAL BY JURY MODIFIED AND AFFIRMED AS MODIFIED WITH COSTS TO APPELLEES CROSSAPPELLANTS Respondent Alexander Gregory Hunt appeals from judgment entered after trial upon jury verdicts awarding him $80 million ($20 million apiece plus treble damages under BusinessandProfessions Code section5336against appellants A.P.E.D.Corp., Inc.(A.P.E.), Mark Davis,and Ronald Davis)(collectively defendants)(hereafter A.P.E.). Appellants crossappeal challenging damages awarded Hunt.Following extensive jury deliberations resulting ingiving inconsistent answersregarding causation,the trial court granted defendants motion fora new trial limitedto causation unless plaintiff agreedto reduce his damagesawardto $500000.Hunt refusedand was granted anew triallimitedto causation.Hunt appealedfromthat orderbut didnotprosecutethat appealandwedismissthat appealas moot.Defendants appealedfromthe judgmentaftertrialonplaintiffs second amended complaint.We conclude there was sufficient evidence supportingtreble damagesawardagainst defendantsunderBusinessandProfessions Code section5336.Hunt didnot prove all elements necessaryto recover treble damagesundersection5336,because he didnot prove he suffered actual damage.Hunt established liabilitybaseduponadefendant violationofBusinessandProfessions Code section17200butdidnot establish actual damagecausedbythat violation.Thus,the treble damageawardmustbe reducedto $20 million.We modifyjudgmentaccordinglyandaffirmas modified.Most facts are undisputed.Based upon those undisputed facts,Hunt proved defendants violated BusinessandProfessions Code section17200bymisrepresenting defendant Ronald Davis had performed services relatingto real property interestswhenhehadnotperformedthose services.Inaddition,Hunt proved he relieduponthose misrepresentations,andthatrelyingsuffereddamages.However,Huntspecifically failedtoprovesuchdamageswereactuallycausedbyRonald Davissfailuretoperformthose services.The jury found Ronald Davis breached his contractwithHunt,butfoundHuntspecifically failedtoprovesuchbreachcausedhimdamages.Thejury also found Ronald Davis violated BusinessandProfessions Code section17200,butfoundHuntspecifically failedtoprovesuchviolationcausedhimdamages.Hence,the jury awarded Hunt zero dollars damagesunderhis breachofcontractclaim,andzero dollarsdamagesunderhis Businessand ProfessionsCode section17200claim.AgainstA.P.E.,thejuryfoundA.P.E.violatedBusinessand ProfessionsCode section17200,butfoundHuntspecificallyfailedtoprovesuchviolationcausedhimdamages.Thus,the jury awarded Hunt zero dollars damagesagainst A.P.E.forits violationofsection17200.In addition,thejury found A.P.E.didnot breach its contractwithHunt,andawardedHuntno damagesagainstA.P.E.foranycontractualbreach.Therefore,Huntspecifically failedtoperfecthis claimsonbothbreachofcontractanda Businessand Professions Code section17200violationagainstRonald Davis,andbothhis Businessand Professions Code section17200claimagainstA.P.E.Thejuryalso found MarkDaviswas negligent,butspecifically failedtoprovesthatnegligencecausedHundamage.Therefore,thejuryawardedno damagesagainstMarkDavis.Hence,Huntspecifically failedtoprovesuchactualdamagecausedbyany defendant violationsofcontract,Businessand ProfessionsCode section17200,andnegligence.All three claims required proof ofsufficient causal connectionbetweeneach defendant actorneglect,andHuntsuffer