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M25 Cochabamba stats & predictions

Tennis M25 Cochabamba Bolivia: A Thrilling Day of Matches

The Tennis M25 tournament in Cochabamba, Bolivia, promises an exciting day of matches tomorrow. This prestigious event attracts some of the finest talents in the tennis world, offering spectators a chance to witness thrilling competitions and expertly predicted outcomes. In this article, we delve into the details of the upcoming matches, providing insights and betting predictions to enhance your viewing experience.

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Overview of Tomorrow's Matches

Tomorrow's schedule is packed with high-stakes matches that will keep tennis enthusiasts on the edge of their seats. The M25 category features players who are making significant strides in their careers, showcasing remarkable skills and determination. Here's a breakdown of the key matches:

  • Match 1: Player A vs. Player B
  • Match 2: Player C vs. Player D
  • Match 3: Player E vs. Player F

Detailed Match Analysis

Match 1: Player A vs. Player B

In this highly anticipated match, Player A brings a formidable record to the court. Known for their aggressive baseline play and powerful serves, Player A has been steadily climbing the rankings. Opposing them is Player B, renowned for their exceptional defensive skills and strategic gameplay.

Betting Prediction: Given Player A's recent form and strong performance on similar surfaces, they are favored to win this match.

Match 2: Player C vs. Player D

This match features two players with contrasting styles. Player C excels in fast-paced rallies and has a reputation for quick reflexes, while Player D is known for their tactical acumen and ability to control points from the backcourt.

Betting Prediction: The match is expected to be closely contested, but Player C's agility might give them the edge in crucial moments.

Match 3: Player E vs. Player F

In this encounter, both players are relatively new to the M25 scene but have shown impressive potential in recent tournaments. Player E has demonstrated strong mental resilience under pressure, while Player F boasts an impressive array of shots.

Betting Prediction: With both players having similar levels of experience at this stage, it could go either way, but slight favoritism towards Player E due to recent performances.

Tactical Insights and Strategies

To gain a deeper understanding of these matches, let's explore some tactical insights and strategies employed by the players:

  • Player A's Serve-and-Volley Approach: Known for taking risks at the net, this strategy can disrupt opponents' rhythm if executed well.
  • Player B's Counter-Punching Technique: By absorbing pressure and returning with precision shots, they often turn defense into offense effectively.
  • Player C's Net Play Dominance: Their ability to approach the net quickly allows them to finish points swiftly before opponents can react.
  • Player D's Baseline Consistency: Maintaining consistency from baseline rallies keeps opponents guessing about shot selection.
  • Mental Fortitude in High-Pressure Situations:All top-tier competitors must exhibit mental toughness; those who handle pressure best often come out on top.

Betting Trends and Statistical Analysis

Analyzing past performances provides valuable insights into betting trends for these matches. Here are some key statistics that could influence predictions:

  • Average First Serve Percentage:
    • -Player A: 65%
    • -Player B: 60%
  • Aces Per Match:
    • -Player C: Average of 6 per match
    • -Player D: Average of 4 per match
  • Serve Winners Percentage:`I need help with following piece code I have [SNIPPET] how do I make it so AdditiveSyntheticData can add attributes dynamically based on runtime conditions?`<|end|> <|assistant|>`Sure! You can achieve dynamic attribute injection by overriding `__setattr__`. Here’s an example modification: python class AdditiveSyntheticData(BaseSyntheticData): def __init__(self): super().__init__() self._dynamic_attributes = {} def __setattr__(self, name, value): if name.startswith('_dynamic_'): self._dynamic_attributes[name] = value else: super().__setattr__(name,value) Now you can add attributes dynamically like so: python obj = AdditiveSyntheticData() obj.__setattr__('_dynamic_new_attr', 'some_value') print(obj._dynamic_new_attr) # Outputs 'some_value' This way `_dynamic_` prefixed attributes will be stored separately but still accessible via instance.`<|end|>` <|user|>`can we also serialize these dynamic attributes when saving object state? i want custom serialization logic too`<|end|>` <|assistant|>`Absolutely! You can implement custom serialization logic by defining methods like `to_dict()` for serialization and `from_dict()` for deserialization. Here’s how you could do it: python import json class AdditiveSyntheticData(BaseSyntheticData): def __init__(self): super().__init__() self._dynamic_attributes = {} def __setattr__(self,name,value): if name.startswith('_dynamic_'): self._dynamic_attributes[name] = value else: super().__setattr__(name,value) def to_dict(self): data = {key[len('_dynamic_'): ] : value for key,value in self._dynamic_attributes.items()} return json.dumps(data) @classmethod def from_dict(cls,data_str): obj = cls() data = json.loads(data_str) for key,value in data.items(): setattr(obj,f'_dynamic_{key}',value) return obj # Example usage: obj = AdditiveSyntheticData() obj.__setattr__('_dynamic_new_attr', 'some_value') serialized_data = obj.to_dict() print(serialized_data) # Outputs serialized JSON string new_obj = AdditiveSyntheticData.from_dict(serialized_data) print(new_obj._dynamic_new_attr) # Outputs 'some_value' This allows you to serialize only dynamic attributes into JSON format and deserialize them back into an object.<|end|>` <|user|>`what if i want my class interact with multiple base classes using mixins? how would i structure it?`<|end|>` <|assistant|>`Great question! You can use multiple inheritance along with mixins by defining additional base classes that encapsulate specific functionalities you want. Here’s an example: python class MixinOne: def mixin_method_one(self): return "Mixin One Method" class MixinTwo: def mixin_method_two(self): return "Mixin Two Method" class AdditiveSyntheticData(BaseSyntheticData,MixinOne,MixinTwo): def __init__(self): super().__init__() self._dynamic_attributes = {} def __setattr__(self,name,value): if name.startswith('_dynamic_'): self._dynamic_attributes[name] = value else: super().__setattr__(name,value) # Example usage: obj = AdditiveSyntheticData() print(obj.mixin_method_one()) # Outputs 'Mixin One Method' print(obj.mixin_method_two()) # Outputs 'Mixin Two Method' In this setup: - `BaseSyntheticData` remains your primary base class. - `MixinOne` and `MixinTwo` provide additional methods or properties through multiple inheritance. - The order in which you list your base classes matters; Python uses method resolution order (MRO) which follows depth-first left-to-right rule.<|end|>` *** Excerpt *** The results show that as compared with healthy controls women with chronic fatigue syndrome had significantly increased right fronto–parietal activation during working memory tasks as measured by positron emission tomography (PET). This increased activity was not related specifically to impaired performance but was associated with increasing task difficulty across all subjects studied regardless of diagnosis or performance level. These findings suggest that patients with chronic fatigue syndrome may utilize different neural networks than healthy controls when performing working memory tasks even when matched on performance level; however they do not support theories suggesting specific cognitive dysfunction associated with chronic fatigue syndrome. *** Revision 0 *** ## Plan To create an advanced exercise based on this excerpt requires incorporating elements such as complex scientific terminology related to neurology and cognitive psychology; introducing more intricate logical relationships between ideas; employing nested counterfactuals (statements considering hypothetical alternatives) and conditionals (if-then statements); integrating references requiring additional knowledge about neuroimaging techniques like PET scans; understanding neurological disorders such as Chronic Fatigue Syndrome (CFS); familiarity with concepts related to neural networks involved in working memory tasks; comprehension of research methodology including control groups versus experimental groups; statistical significance versus clinical significance; etc. To increase difficulty further: - Use more technical language regarding brain regions involved. - Include specifics about PET scan technology (like radiotracers used). - Introduce statistical terms relevant to interpreting study results. - Reference theories regarding cognitive function deficits related specifically to Chronic Fatigue Syndrome. - Discuss implications on treatment approaches based on neural network utilization differences. ## Rewritten Excerpt "Investigations utilizing positron emission tomography delineated augmented neuronal engagement within right fronto-parietal cortices among female cohorts diagnosed with Chronic Fatigue Syndrome (CFS), vis-a-vis normative counterparts during execution of cognitively demanding working memory paradigms. Notably absent was any correlation between said heightened cerebral activity patterns and decrements in task execution proficiency—indicating instead a positive association correlating directly with incremental task complexity across all examined individuals irrespective of diagnostic categorization or performance echelons attained. These revelations intimate potential divergence in neural circuitry recruitment strategies employed by CFS-afflicted subjects relative to non-afflicted controls whilst maintaining parity in task completion standards; contrariwise though they obviate postulations positing inherent cognitive malfunction endemic specifically within Chronic Fatigue Syndrome pathology." ## Suggested Exercise During an investigation employing positron emission tomography (PET), researchers observed differential activation patterns within certain cerebral regions among female participants diagnosed with Chronic Fatigue Syndrome (CFS) compared against healthy controls during executionally challenging working memory tasks. The elevated activation detected was not indicative of impaired task proficiency but correlated positively with increasing complexity across all participant categories irrespective of diagnostic status or achieved performance levels. Based on these observations which statement most accurately encapsulates implications derived from these findings? A) The increased right fronto-parietal activation signifies a definitive marker for diagnosing Cognitive Dysfunction associated exclusively with Chronic Fatigue Syndrome due to its direct correlation with impaired task performance. B) Despite exhibiting higher levels of right fronto-parietal activation during working memory tasks among women diagnosed with CFS compared against healthy controls—a phenomenon unlinked directly to diminished task efficiency—these findings challenge prevailing hypotheses positing inherent cognitive dysfunctions unique solely within Chronic Fatigue Syndrome pathology while hinting at alternative neural processing strategies being employed by affected individuals even when matched against controls at equivalent performance thresholds. C) Elevated right fronto-parietal activation among women suffering from Chronic Fatigue Syndrome suggests a compensatory mechanism exclusively designed by affected individuals' brains aiming at counterbalancing inherent deficits encountered during working memory tasks execution thereby supporting theories suggesting specific cognitive dysfunction associated solely within Chronic Fatigue Syndrome pathology. D) The absence of any correlation between heightened cerebral activity patterns within right fronto-parietal cortices during cognitively demanding tasks amongst females diagnosed with CFS versus healthy counterparts underscores definitive evidence supporting existing theories regarding specific cognitive dysfunctions intrinsically linked solely within Chronic Fatigue Syndrome pathology despite varied levels of task complexity encountered across all examined individuals irrespective of diagnostic categorization or performance echelons attained. *** Revision 1 *** check requirements: - req_no: 1 discussion: The draft does not require external knowledge beyond what is provided; no reference is made outside what is contained within the excerpt itself. score: -1 - req_no: 2 discussion: Understanding subtleties such as lack of correlation between brain activity patterns and task proficiency requires close reading but could be inferred directly; nuances are not deeply explored. score: 2 - req_no: 3 discussion: Excerpt length satisfies requirement but readability could be improved; content is convoluted enough though still comprehensible. score: -1 - req_no - req_no - req_no - discussion - score - discussion - score - req_no - discussion - score - req_no - discussion - score - req_no - discussion - score - external fact suggestion | To satisfy requirement one fully along other aspects better, revision should integrate knowledge about neuroplasticity effects postulated under stress-related disorders such as PTSD compared against findings here concerning CFS patients' brain activities during complex tasks requiring significant attention resources.' revised excerpt | '' correct choice | Despite exhibiting higher levels... revised exercise | In lightening recent studies showing altered neuroplastic responses... incorrect choices | choice text | Increased right fronto-parietal activation signifies... choice text | Elevated right fronto-parietal activation suggests... choice text | Absence correlation between heightened cerebral activity... *** Revision ### Revised Exercise Plan To elevate the complexity and fulfill all requirements more thoroughly: **Plan Overview:** The revised exercise will demand integration between specialized knowledge concerning neuroimaging techniques like PET scans used for identifying brain region activities during cognitive tasks—specifically relating them not just broadly but precisely how they apply here—and understanding neuroplasticity particularly under conditions like stress-related disorders e.g., PTSD versus chronic conditions like CFS as discussed in our excerpt. **External Knowledge Integration:** We'll incorporate comparisons between typical neuroplastic changes seen under acute stress conditions versus those possibly evidenced here under chronic fatigue syndrome scenarios—a topic likely covered under advanced neuroscience courses focusing on functional neuroimaging applications across different psychological states or disorders. **Logical Complexity Enhancement:** We will craft choices reflecting subtle distinctions drawn from comparing these distinct neurological contexts—requiring learners not just rote memorization but deep comprehension backed by external academic knowledge about both imaging technologies used herein alongside broader neuropsychological principles applied variably across disorders. **Revised Exercise Construction:** The question posed will compare implications drawn from our study results against known effects seen typically under acute stress-induced plasticity changes observed via similar imaging modalities—an angle inviting critical thinking rather than straightforward recall. ## Rewritten Excerpt "Investigations employing positron emission tomography revealed enhanced neuronal engagement specifically within right fronto-parietal cortices among female cohorts diagnosed with Chronic Fatigue Syndrome (CFS), contrasted against normative counterparts amid executing cognitively demanding working memory paradigms involving spatial reasoning complexities incrementally increased throughout trials stages irrespective individual diagnostic status or resultant proficiency levels achieved." ## Suggested Exercise Given recent studies indicating distinct patterns in neuroplastic responses among PTSD patients subjected similarly intense spatial reasoning challenges through PET imaging protocols—where heightened amygdala reactivity contrasts starkly against prefrontal moderation—consider how these findings compare against observations noted above concerning women diagnosed with CFS: Which statement best reflects implications derived from contrasting these differing neurological responses observed? A) Enhanced engagement within right fronto-parietal cortices among females diagnosed with CFS reflects similar compensatory mechanisms identified uniquely among PTSD sufferers facing acute stressors despite differences in underlying disorder pathophysiology. B) Unlike PTSD where acute stress triggers pronounced amygdala responsiveness overshadowing prefrontal cortical moderation suggesting immediate reactive adaptation mechanisms—the elevated frontal parietal activations noted amongst females suffering from CFS indicate potentially sustained adaptive processes aimed at managing persistent cognitive load demands imposed by ongoing symptomatic experiences rather than immediate reactive adaptations typical seen under acute stress scenarios like PTSD. C) Increased right fronto-parietal cortical activity noted among females diagnosed with CFS suggests ineffective coping mechanisms akin directly those observed universally across various stress-related disorders including PTSD thus indicating generalized maladaptive responses regardless underlying etiological differences distinguishing each disorder conditionally experienced. *** Revision ### Plan To create an exercise that maximizes difficulty while ensuring it necessitates both comprehensive understanding of the provided excerpt and additional factual knowledge outside what is explicitly stated therein: 1. **Incorporate Advanced Neuroscientific Concepts**: Introduce terms or concepts not explained within the excerpt itself but are essential for fully grasping its implications—such as specifics about how PET scans differentiate between types of neuronal engagement or detailed descriptions about what constitutes "enhanced neuronal engagement." 2. **Complex Logical Structures**: Employ more sophisticated logical structures such as nested counterfactuals ("If X had not occurred Y would have been Z") or complex conditionals ("If X occurs given Y then Z unless W"). This forces readers not only to understand each component part but also how they interrelate logically across different scenarios. 3. **Cross-Disciplinary References**: Reference other disciplines subtly without explicit explanation—for example mentioning psychological theories related directly or indirectly mentioned phenomena without elaboration requires learners have broader educational backgrounds or seek out information themselves. ### Rewritten Excerpt "Investigations leveraging positron emission tomography elucidated nuanced enhancements in neuronal engagement localized predominantly within right fronto-parietal cortices amongst female cohorts clinically characterized by Chronic Fatigue Syndrome (CFS). These enhancements were discerned amidst executing progressively intricate cognitively demanding paradigms centered around spatial reasoning—a domain wherein trial stages systematically escalated spatial complexities independent variables such as individual diagnostic status or resultant proficiency benchmarks achieved." ### Suggested Exercise Considering recent advancements highlighting differential neuroplastic responses amongst individuals afflicted by Post-Traumatic Stress Disorder (PTSD), wherein intensified amygdala reactivity juxtaposes markedly against moderated prefrontal cortex activities—a dichotomy illuminated through comparable positron emission tomography protocols assessing spatial reasoning challenges—evaluate how these insights align or diverge when juxtaposed against observations delineated above concerning females diagnosed with Chronic Fatigue Syndrome: A) Enhanced neuronal engagement localized predominantly within right fronto-parietal cortices amongst females diagnosed with CFS mirrors compensatory mechanisms distinctly paralleled among PTSD sufferers encountering acute stressors—despite foundational disparities intrinsic to each disorder’s pathophysiology implying analogous adaptive stratagems employed across divergent psychopathological landscapes. B) Contrary distinctions emerge upon comparison where acute stress incites pronounced amygdala reactivity overshadowing prefrontal cortex moderation indicative primarily reactive adaptation mechanisms unique unto PTSD contexts—the enduring elevations observed within frontal parietal activations amongst females enduring CFS signify potentially protracted adaptive processes devised towards navigating sustained cognitive burdens imposed persistently rather than immediate reactive adjustments characteristic exclusively under acute stress scenarios typified by PTSD manifestations. C) Augmented activations witnessed predominately within frontal parietal regions amongst females bearing diagnoses reflective thereof suggest inherently maladaptive coping strategies uniformly applicable across myriad stress-related disorders inclusive yet not limited unto PTSD—thereby insinuating generalized dysfunctional response paradigms transcending discrete etiological variances demarcating each disorder experienced conditionally. itchens": { "type": "array", "items": { "$ref": "#/components/schemas/Kitchen" } }, "status": { "type": "string" } }, "Kitchen": { "type": "object", "properties": { "id": { "$ref": "#/components/schemas/Id" }, "name": { "$ref": "#/components/schemas/String50" }, "location_id": { "$ref": "#/components/schemas/Id" }, "_links": { "$ref": "#/components/schemas/Links" } } } } #### Response Body Schema #### Status Code :200 OK { "_embedded" : { "kitchens" : [ { "_links" : { ... ... ... }, "id" : long, ... ... }, ... ] }, ... } Status Code :400 Bad Request { "_embedded" : { ... }, "_errors" : [ ... ], } Status Code :401 Unauthorized { "_errors" : [ { "type":"UnauthorizedException", "title":"Unauthorized", "description":"You're unauthorized.", "status_code":"401" } ] } Status Code :403 Forbidden { "_errors" : [ { "type":"ForbiddenException", "title":"Forbidden", "description":"You're forbidden.", "status_code":"403" } ] } --- ### Get Kitchen Details ### Get details kitchen using id #### Request #### GET /api/v1/kitchens/{id} Accept application/vnd.api+json;charset=utf8;q=0·9·8·7·6·5·4·1,*/*;q=0·9·8·7·6·5·4·1;charset=utf8;q=0·9·8·7·6·5·4·1 #### Parameters #### Name | Type | Description ----- | ---- | ---- id | PathParameter Long(19)| Id #### Request Body Schema #### None #### Response Body Schema #### Status Code :200 OK { "_embedded" : { ... }, } Status Code :400 Bad Request { "_embedded" : { ... }, "_errors" : [ ... ], } Status Code :401 Unauthorized { "_errors": [ { "type":"UnauthorizedException", "title":"Unauthorized", "description":"You're unauthorized.", "status_code":"401" } ] } Status Code :403 Forbidden { "_errors": [ { "type":"ForbiddenException", "title":"Forbidden", "description":"You're forbidden.", "status_code":"403" } ] } --- ### Delete Kitchen ### Delete kitchen using id #### Request #### DELETE /api/v1/kitchens/{id} Accept application/vnd.api+json;charset=utf8;q=0*9*8*7*6*5*4*1,*/*;q=0*9*8*7*6*5*4*1;charset=utf8;q=0*9*8*7*6*5*4*1 #### Parameters #### Name | Type | Description ----- | ---- | ---- id | PathParameter Long(19)| Id #### Request Body Schema #### None #### Response Body Schema #### Status Code :204 No Content Status Code :400 Bad Request { "_embedded": {...}, "_errors": ... } Status Code :401 Unauthorized { "_errors": { "type":"UnauthorizedException", "title":"Unauthorized", "description":"You're unauthorized.", "status_code":"401" } } Status Code :403 Forbidden { "_errors": { "type":"ForbiddenException", "title":"Forbidden", "description":"You're forbidden.", "status_code":"403" } } --- ### Update Kitchen ### Update kitchen using id #### Request #### PATCH /api/v1/kitchens/{id} Content-Type application/vnd.api+json;charset=utf8;q=0⋅9⋅8⋅7⋅6⋅5⋅4⋅1,*/*;q=0⋅9⋅8⋅7⋅6⋅5⋅4⋅1;charset=utf8;q=0⋅9⋅8⋅7⋅6⋅5⋅4⋅1 #### Parameters #### Name | Type | Description ----- | ---- | ---- id | PathParameter Long(19)| Id #### Request Body Schema #### JSONSchemaObject KitchenPatchSchema ObjectSchema JSONSchemaObject KitchenPatchSchema ObjectSchema JSONSchemaObject Links ArraySchema JSONSchemaObject Link ObjectSchema JSONSchemaObject String50 StringSchema KitchenPatchSchema: JSONSchemaObject LocationId Id Schema JSONSchemaObject Name String50 Schema LocationId: Long(19) Name: String50: Maximum Length: 50 Links: Array Of Links Objects Link: Link Object Contains: Href String(255) Rel String(255) Type String(255) Href: String Of Maximum Length: 255 Rel: String Of Maximum Length: 255 Type: String Of Maximum Length: 255 KitchenPatchBodyExample : {   "name":{    "value":"",    "isSettedFlag":""    },   "id":{    "value":"",    "isSettedFlag":""    },   "kitchen_id":{    "value":"",    "isSettedFlag":""   },                                                                                           _links:{         _embedded:{             kitchens:[]         }     } } KitchenPatchBodyExample : { "name":{ "value":"", "isSettedFlag":""  }, "id":{ "value":"", "isSettedFlag":""  }, "kitchen_id":{ "value":"", "isSettedFlag":""  }, _links:{ _embedded:{ kitchens:[] } } } Kitchen Patch Example : { "name":{"value":"","isSettedFlag":""}, "kitchen_id":{"value":"","isSettedFlag":""}, _links:{_embedded:{kitchens:[],}} } Links Example : {"href":"/api/v1/kitchens","rel":"/api/vi/kitchens","type":"/api/vi/kitchens"} Links Array Example : {"href":"/api/vi/kitchen","rel":"/api/vi/kitchen","type":"/api/vi/kitchen"} , {"href":"/api/vi/kitchen","rel":"/api/vi/kitchen","type":"/api/vi/kitchen"} #### Response Body Schema #### Status Code :204 No Content Status Code :400 Bad Request { "_embedded": {...}, "_errors": ... } Status Code :401 Unauthorized { "_errors": { "type":"UnauthorizedException", "title":"Unauthorized", "description:"You're unauthorized.", "status_code:"401" } } Status Code :403 Forbidden { "_errors": { "type:"ForbiddenException", "title:"Forbidden", "description:"You're forbidden.", "status_code:"403" } } --- ### Create Kitchen ### Create kitchen #### Request #### POST /api/v1/kitchens/ Content-Type application/vnd.api+json;charset=utf8;q=0∙9∙8∙7∙6∙5∙4∙1,*/*;q=0∙9∙8∙7∙6∙5∙4∙1;charset=utf8;q=0∙9∙8∙7∘65•41 #### Parameters #### None #### Request Body Schema #### JSONSchemaObject Kitchens ArrayOfKitchensArray Schema JSONSchemaObject Kitchen KitchensArray ObjectSchema JSONSchemaObject Id Id Schema JSONSchemaObject Name String50 Schema JSONSchemaObject LocationId Id Schema JSONschemaobject Links ArrayOfLinksArray schema JSONschemaobject Link LinksArray Objectschema ##### KitchensArray Object Contains ##### Id: Long(19) Name: String50: Maximum Length: 50 LocationId: Long(19) Links: ArrayOf Links Objects Link Contains : Href String(255) Rel String(255) Type String(255) Href: String Of Maximum Length: 255 Rel: String Of Maximum Length: 255 Type: String Of Maximum Length: 255 KitchensBodyExample : { _kithens":[{ _id":{"value":"","isSettedFlag":""}, _name":{"value":"","isSettedFlag":""}, _location_id":{"value":"","isSettedFlag":""}, _links":[{_links":[{"href":"","rel":"","type":""}]}]},{}...] } KithenBodyExample : { _id":{"value":"","isSettedFlag":""}, _name{"value":"","isSettedFlag":""}, _location_id{"value":"","isSettedFlag":""}, _links:[{_links":[{"href":"","rel","","type""}]}]} Kithen Example : { _id{"value","","isSettefdflag"}, _name{"value","","isSeteedflag"}, _location_id{"value","","isSeteedflag"}, _links:[{_link:["href","","rel","","type"]}] } LinkExample : [{_link["href","","rel","","type"]}] Links Array Example : [{_link["href","","rel","","type"]}] , [{_link["href","","rel","","type"]}] ###### Notes ########## For Issettfalg you should write true if you set values otherwise false. For _links array please write empty array [] if you don't have any links. ##### Response Body Schema ##### ##### Status code ##### 200 OK ###### Response body schema ##### Embedded contains kitchens array objects. _Status code:_400 Bad request _Embdedded:_ contains kitchens array objects. _Errorss contains errors array objects. _Status code:_401 Unauthorized _Errors contains errors array objects. _Type:"Unauthorize exception" _Title:"Unauthorize" _Description:"Your are Unauthorize" _Statuscode:"401" _Status code:_403 Forbidden _Errors contains errors array objects. _Type:"Forbidden Exception" _Title:"Forbidden" _Description:"Your are Forbidden" _Statuscode:"403" ##### Notes ##### For Issettfalg you should write true if you set values otherwise false. For _links array please write empty array [] if you don't have any links. --- ### List Locations ### List locations #### Request #### GET /api/vi/location/ Accept application/vnd.api+json;charset=utf8;q=0•9•88•77•66•55•44•33,*/*;q=0•98•77•66•55•44•33;charset=utf88;q=09•88• --- --- --- --- --- --- --- --- ---- --- --- --- ---- --- --- -- --- -- --- -- -- ---- -- ---- -- -- -- -- -- -- ------ -- ------ -- ------ -- ------ -- ------ -- ------ -- ------ ##### Parameters ##### None ##### Response body schema ##### _Status code:_200 ok _Embdedded contains locations array objects._ _Status code:_400 bad request _Embedded contains locations array objects._ _Errors contains errors array object._ _Status code:_401 Unauthorized _Errors contains errors object._ _Type:"Unauthorize exception". _Title:"Unauthorize". _Description :"Your are Unauthorize". _Statuscode :"401". _Status code:_403 Forbidden _Errors contain errors object._ _Type :"Forbidden Exception". _Title :"Forbidden". _Description :"Your are Forbidden". _Statuscode :"403". ##### Notes ##### For Issettfalg you should write true if you set values otherwise false. For _links arrays please write empty arrays [] if you don't have any links. ##### Location schema ##### Locations ArrayOfLocationsarray schema. Location Locationsarray Objectschema. Id Id schema. Name string50 schema. Address string100 schema. Country string100 schema. State string100 schema. City string100 schema. ZipCode ZipCode schema . Links ArrayofLinksarray schema . Link Linksarray Objectschema . Hrefs string250 schemas . Rels string250 schemas . Types string250 schemas . _Hrefs_:maximum length is250 . _Rels_:maximum length is250 . _Types_:maximum length is250 . _Locationbodyexample_: { _locations":[ { _ids":{"values","",Issettfalg""}, _names {"values","",Issettfalg""}, _addresses {"values","",Issettfalg""}, _countries {"values","",Issettfalg""}, _states {"values","",Issettfalg""}, _cities {"values","",Issettfalg""}, _zipCodes {"values","",Issettfalg""}, _links":["{_link":["hrefs","rels","types"]}], .... ...., ...., ...., ...., ...., ...., .... }], .... .... .... .... .... .... .... } _Locationsbodyexample_: { _ids{"values","",Issettfalg""}, _names {"values","",Issettfalg""}, _addresses {"values","",Issettfalg""}, _countries {"values"",Issetttflag""}, _states {"values"",Issettflag""}, _cities {"values"",Issettflag''}, _zipCodes {"valus"",issettflaf'' }, _links ["{_link [" hrefs ",rels "," types "]}" ], } _Locationexample_: { _ids{"valus"",issettflaf'' }, _names {"valus"",issettflaf'' }, _addresses {"valus"",issettflaf'' }, _countries {"valus"",issettflaf'' }, _states {"valus"",issettflaf'' }, _cities {"valus'',issettflaf'' }, _zipCodes {valus",isetttfalf'', _link [" {_link [" hrefs ",rels "," types "]}" ] } , } _Linkexample_: [ {_link [" hrefs "",rels "",types "" ] } ] _Linksarrayexample_: [ {_link [" hrefs "",rels "",types "" ] } , {_link [" hrefs "",rels "",types "" ] } ] _ZipCode zipcodeschema_ _Longlonglonglonglonglonglonglonglong_ _ZipCodebodyexapmle_ {_ _zipcodes":["12345678901234567890"],_ _iszippocodedsettelflag_"true/false,"_ } _ZipCodeexmaple_ {"12345678901234567890",true/false} _JSONresponsebodyexample_ { _emebdded ": { _locations "[ { _ids "{" values '','','' Isseetfflag ''"}, { _names {' values '','','' Isseetfflag ''"}, { _addresses {' values '','','' Isseetfflag ''"}, { _countries {' values '','','' Isseetfflag ''"}, { _states {' values '','','' Isseetfflag ''"}, { _cities {' values '','','' Isseetfflag ''"}, { _zipCodes {' valus '',''' Setteeflag ''' }, { _links "[ {_ link [' hrefs ', rels ', types '] } ], ... ..., ..., ..., ..., ..., ..., ... .. } ], ... ..., ..., ..., ..., ..., ..., ... .. } ] } _JSONresponsebodyschema_ { _emebdded ": { _locations "[ { _ids "{" values '',''' Setteeflag ''' }, { _names {' valus '',''' Setteeflag ''' }, { _addresses {' valus '',''' Setteeflag ''' }, { _countries {' valus '',''' Sette