prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Pizza Ranch 
  Spider #29 is not collecting all locations, it's only capturing the 1st page on each state list.
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `locations/spiders/pizzaranch.py`
  Content:
  ```
  1 import scrapy
  2 import re
  3 from locations.items import GeojsonPointItem
  4 import json
  5 class CVSSpider(scrapy.Spider):
  6 
  7     name = "pizzaranch"
  8     allowed_domains = ["pizzaranch.com"]
  9     download_delay = 0.5
  10     start_urls = (
  11         'https://pizzaranch.com/locations',
  12     )
  13     def parse_times(self, times):
  14         if times.strip() == 'Open 24 hours':
  15             return '24/7'
  16         hours_to = [x.strip() for x in times.split('-')]
  17         cleaned_times = []
  18 
  19         for hour in hours_to:
  20             if re.search('PM$', hour):
  21                 hour = re.sub('PM', '', hour).strip()
  22                 hour_min = hour.split(":")
  23                 if int(hour_min[0]) < 12:
  24                     hour_min[0] = str(12 + int(hour_min[0]))
  25                 cleaned_times.append(":".join(hour_min))
  26 
  27             if re.search('AM$', hour):
  28                 hour = re.sub('AM', '', hour).strip()
  29                 hour_min = hour.split(":")
  30                 if len(hour_min[0]) <2:
  31                     hour_min[0] = hour_min[0].zfill(2)
  32                 else:
  33                     hour_min[0] = str(int(hour_min[0]))
  34 
  35                 cleaned_times.append(":".join(hour_min))
  36         return "-".join(cleaned_times)
  37 
  38     def parse_hours(self, lis):
  39         hours = []
  40         for li in lis:
  41             day = li.xpath('normalize-space(.//td[@class="c-location-hours-details-row-day"]/text())').extract_first()[:2]
  42             times = li.xpath('.//td[@class="c-location-hours-details-row-intervals"]/span/span/text()').extract()
  43             times = "".join(x for x in times)
  44             if times and day:
  45                 parsed_time = self.parse_times(times)
  46                 hours.append(day + ' ' + parsed_time)
  47 
  48         return "; ".join(hours)
  49 
  50     def parse_stores(self, response):
  51         map_data = response.xpath('normalize-space(//script[@id="js-map-config-dir-map-nap-map"]/text())').extract_first()
  52         map_json = json.loads(map_data)
  53         properties = {
  54             'addr_full': response.xpath('normalize-space(//span[@itemprop="streetAddress"]/span/text())').extract_first(),
  55             'phone': response.xpath('normalize-space(//div[@class="c-phone-number c-phone-main-number"]/span[@class="c-phone-number-span c-phone-main-number-span"]/text())').extract_first(),
  56             'city': response.xpath('normalize-space(//span[@itemprop="addressLocality"]/text())').extract_first(),
  57             'state': response.xpath('normalize-space(//abbr[@itemprop="addressRegion"]/text())').extract_first(),
  58             'postcode': response.xpath('normalize-space(//span[@itemprop="postalCode"]/text())').extract_first(),
  59             'ref': map_json['locs'][0]['id'],
  60             'website': response.url,
  61             'lat': float( map_json['locs'][0]['latitude']),
  62             'lon': float( map_json['locs'][0]['longitude']),
  63         }
  64         hours = self.parse_hours(response.xpath('//div[@class="hours-primary hidden-xs"]/div[@class="c-location-hours"]/div[@class="c-location-hours-details-wrapper js-location-hours"]/table/tbody/tr'))
  65 
  66         if hours:
  67             properties['opening_hours'] = hours
  68 
  69         yield GeojsonPointItem(**properties)
  70 
  71     def parse_state_stores(self, response):
  72         stores = response.xpath('//h3[@class="title"]/a/@href').extract()
  73         for store in stores:
  74                 yield scrapy.Request(response.urljoin(store), callback=self.parse_stores)
  75 
  76     def parse(self, response):
  77         urls = response.xpath('//ol[@class="state-list"]/li/a/@href').extract()
  78         for path in urls:
  79             yield scrapy.Request(response.urljoin(path), callback=self.parse_state_stores)
  80
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/locations/spiders/pizzaranch.py b/locations/spiders/pizzaranch.py
  --- a/locations/spiders/pizzaranch.py
  +++ b/locations/spiders/pizzaranch.py
  @@ -51,6 +51,7 @@
           map_data = response.xpath('normalize-space(//script[@id="js-map-config-dir-map-nap-map"]/text())').extract_first()
           map_json = json.loads(map_data)
           properties = {
  +            'name': response.xpath('//span[@class="location-name-geo"]/text()').extract_first(),
               'addr_full': response.xpath('normalize-space(//span[@itemprop="streetAddress"]/span/text())').extract_first(),
               'phone': response.xpath('normalize-space(//div[@class="c-phone-number c-phone-main-number"]/span[@class="c-phone-number-span c-phone-main-number-span"]/text())').extract_first(),
               'city': response.xpath('normalize-space(//span[@itemprop="addressLocality"]/text())').extract_first(),
  @@ -68,11 +69,17 @@
   
           yield GeojsonPointItem(**properties)
   
  +
       def parse_state_stores(self, response):
           stores = response.xpath('//h3[@class="title"]/a/@href').extract()
           for store in stores:
                   yield scrapy.Request(response.urljoin(store), callback=self.parse_stores)
   
  +        next_page_url = response.xpath('//div[@class="pagination"]//li[@class="next"]/a/@href').extract_first()
  +
  +        if next_page_url:
  +            yield scrapy.Request(next_page_url, callback=self.parse_state_stores)
  +
       def parse(self, response):
           urls = response.xpath('//ol[@class="state-list"]/li/a/@href').extract()
           for path in urls:
  
verification_info: {"golden_diff": "diff --git a/locations/spiders/pizzaranch.py b/locations/spiders/pizzaranch.py\n--- a/locations/spiders/pizzaranch.py\n+++ b/locations/spiders/pizzaranch.py\n@@ -51,6 +51,7 @@\n         map_data = response.xpath('normalize-space(//script[@id=\"js-map-config-dir-map-nap-map\"]/text())').extract_first()\n         map_json = json.loads(map_data)\n         properties = {\n+            'name': response.xpath('//span[@class=\"location-name-geo\"]/text()').extract_first(),\n             'addr_full': response.xpath('normalize-space(//span[@itemprop=\"streetAddress\"]/span/text())').extract_first(),\n             'phone': response.xpath('normalize-space(//div[@class=\"c-phone-number c-phone-main-number\"]/span[@class=\"c-phone-number-span c-phone-main-number-span\"]/text())').extract_first(),\n             'city': response.xpath('normalize-space(//span[@itemprop=\"addressLocality\"]/text())').extract_first(),\n@@ -68,11 +69,17 @@\n \n         yield GeojsonPointItem(**properties)\n \n+\n     def parse_state_stores(self, response):\n         stores = response.xpath('//h3[@class=\"title\"]/a/@href').extract()\n         for store in stores:\n                 yield scrapy.Request(response.urljoin(store), callback=self.parse_stores)\n \n+        next_page_url = response.xpath('//div[@class=\"pagination\"]//li[@class=\"next\"]/a/@href').extract_first()\n+\n+        if next_page_url:\n+            yield scrapy.Request(next_page_url, callback=self.parse_state_stores)\n+\n     def parse(self, response):\n         urls = response.xpath('//ol[@class=\"state-list\"]/li/a/@href').extract()\n         for path in urls:\n", "issue": "Pizza Ranch \nSpider #29 is not collecting all locations, it's only capturing the 1st page on each state list.\r\n\n", "before_files": [{"content": "import scrapy\nimport re\nfrom locations.items import GeojsonPointItem\nimport json\nclass CVSSpider(scrapy.Spider):\n\n    name = \"pizzaranch\"\n    allowed_domains = [\"pizzaranch.com\"]\n    download_delay = 0.5\n    start_urls = (\n        'https://pizzaranch.com/locations',\n    )\n    def parse_times(self, times):\n        if times.strip() == 'Open 24 hours':\n            return '24/7'\n        hours_to = [x.strip() for x in times.split('-')]\n        cleaned_times = []\n\n        for hour in hours_to:\n            if re.search('PM$', hour):\n                hour = re.sub('PM', '', hour).strip()\n                hour_min = hour.split(\":\")\n                if int(hour_min[0]) < 12:\n                    hour_min[0] = str(12 + int(hour_min[0]))\n                cleaned_times.append(\":\".join(hour_min))\n\n            if re.search('AM$', hour):\n                hour = re.sub('AM', '', hour).strip()\n                hour_min = hour.split(\":\")\n                if len(hour_min[0]) <2:\n                    hour_min[0] = hour_min[0].zfill(2)\n                else:\n                    hour_min[0] = str(int(hour_min[0]))\n\n                cleaned_times.append(\":\".join(hour_min))\n        return \"-\".join(cleaned_times)\n\n    def parse_hours(self, lis):\n        hours = []\n        for li in lis:\n            day = li.xpath('normalize-space(.//td[@class=\"c-location-hours-details-row-day\"]/text())').extract_first()[:2]\n            times = li.xpath('.//td[@class=\"c-location-hours-details-row-intervals\"]/span/span/text()').extract()\n            times = \"\".join(x for x in times)\n            if times and day:\n                parsed_time = self.parse_times(times)\n                hours.append(day + ' ' + parsed_time)\n\n        return \"; \".join(hours)\n\n    def parse_stores(self, response):\n        map_data = response.xpath('normalize-space(//script[@id=\"js-map-config-dir-map-nap-map\"]/text())').extract_first()\n        map_json = json.loads(map_data)\n        properties = {\n            'addr_full': response.xpath('normalize-space(//span[@itemprop=\"streetAddress\"]/span/text())').extract_first(),\n            'phone': response.xpath('normalize-space(//div[@class=\"c-phone-number c-phone-main-number\"]/span[@class=\"c-phone-number-span c-phone-main-number-span\"]/text())').extract_first(),\n            'city': response.xpath('normalize-space(//span[@itemprop=\"addressLocality\"]/text())').extract_first(),\n            'state': response.xpath('normalize-space(//abbr[@itemprop=\"addressRegion\"]/text())').extract_first(),\n            'postcode': response.xpath('normalize-space(//span[@itemprop=\"postalCode\"]/text())').extract_first(),\n            'ref': map_json['locs'][0]['id'],\n            'website': response.url,\n            'lat': float( map_json['locs'][0]['latitude']),\n            'lon': float( map_json['locs'][0]['longitude']),\n        }\n        hours = self.parse_hours(response.xpath('//div[@class=\"hours-primary hidden-xs\"]/div[@class=\"c-location-hours\"]/div[@class=\"c-location-hours-details-wrapper js-location-hours\"]/table/tbody/tr'))\n\n        if hours:\n            properties['opening_hours'] = hours\n\n        yield GeojsonPointItem(**properties)\n\n    def parse_state_stores(self, response):\n        stores = response.xpath('//h3[@class=\"title\"]/a/@href').extract()\n        for store in stores:\n                yield scrapy.Request(response.urljoin(store), callback=self.parse_stores)\n\n    def parse(self, response):\n        urls = response.xpath('//ol[@class=\"state-list\"]/li/a/@href').extract()\n        for path in urls:\n            yield scrapy.Request(response.urljoin(path), callback=self.parse_state_stores)\n", "path": "locations/spiders/pizzaranch.py"}], "after_files": [{"content": "import scrapy\nimport re\nfrom locations.items import GeojsonPointItem\nimport json\nclass CVSSpider(scrapy.Spider):\n\n    name = \"pizzaranch\"\n    allowed_domains = [\"pizzaranch.com\"]\n    download_delay = 0.5\n    start_urls = (\n        'https://pizzaranch.com/locations',\n    )\n    def parse_times(self, times):\n        if times.strip() == 'Open 24 hours':\n            return '24/7'\n        hours_to = [x.strip() for x in times.split('-')]\n        cleaned_times = []\n\n        for hour in hours_to:\n            if re.search('PM$', hour):\n                hour = re.sub('PM', '', hour).strip()\n                hour_min = hour.split(\":\")\n                if int(hour_min[0]) < 12:\n                    hour_min[0] = str(12 + int(hour_min[0]))\n                cleaned_times.append(\":\".join(hour_min))\n\n            if re.search('AM$', hour):\n                hour = re.sub('AM', '', hour).strip()\n                hour_min = hour.split(\":\")\n                if len(hour_min[0]) <2:\n                    hour_min[0] = hour_min[0].zfill(2)\n                else:\n                    hour_min[0] = str(int(hour_min[0]))\n\n                cleaned_times.append(\":\".join(hour_min))\n        return \"-\".join(cleaned_times)\n\n    def parse_hours(self, lis):\n        hours = []\n        for li in lis:\n            day = li.xpath('normalize-space(.//td[@class=\"c-location-hours-details-row-day\"]/text())').extract_first()[:2]\n            times = li.xpath('.//td[@class=\"c-location-hours-details-row-intervals\"]/span/span/text()').extract()\n            times = \"\".join(x for x in times)\n            if times and day:\n                parsed_time = self.parse_times(times)\n                hours.append(day + ' ' + parsed_time)\n\n        return \"; \".join(hours)\n\n    def parse_stores(self, response):\n        map_data = response.xpath('normalize-space(//script[@id=\"js-map-config-dir-map-nap-map\"]/text())').extract_first()\n        map_json = json.loads(map_data)\n        properties = {\n            'name': response.xpath('//span[@class=\"location-name-geo\"]/text()').extract_first(),\n            'addr_full': response.xpath('normalize-space(//span[@itemprop=\"streetAddress\"]/span/text())').extract_first(),\n            'phone': response.xpath('normalize-space(//div[@class=\"c-phone-number c-phone-main-number\"]/span[@class=\"c-phone-number-span c-phone-main-number-span\"]/text())').extract_first(),\n            'city': response.xpath('normalize-space(//span[@itemprop=\"addressLocality\"]/text())').extract_first(),\n            'state': response.xpath('normalize-space(//abbr[@itemprop=\"addressRegion\"]/text())').extract_first(),\n            'postcode': response.xpath('normalize-space(//span[@itemprop=\"postalCode\"]/text())').extract_first(),\n            'ref': map_json['locs'][0]['id'],\n            'website': response.url,\n            'lat': float( map_json['locs'][0]['latitude']),\n            'lon': float( map_json['locs'][0]['longitude']),\n        }\n        hours = self.parse_hours(response.xpath('//div[@class=\"hours-primary hidden-xs\"]/div[@class=\"c-location-hours\"]/div[@class=\"c-location-hours-details-wrapper js-location-hours\"]/table/tbody/tr'))\n\n        if hours:\n            properties['opening_hours'] = hours\n\n        yield GeojsonPointItem(**properties)\n\n\n    def parse_state_stores(self, response):\n        stores = response.xpath('//h3[@class=\"title\"]/a/@href').extract()\n        for store in stores:\n                yield scrapy.Request(response.urljoin(store), callback=self.parse_stores)\n\n        next_page_url = response.xpath('//div[@class=\"pagination\"]//li[@class=\"next\"]/a/@href').extract_first()\n\n        if next_page_url:\n            yield scrapy.Request(next_page_url, callback=self.parse_state_stores)\n\n    def parse(self, response):\n        urls = response.xpath('//ol[@class=\"state-list\"]/li/a/@href').extract()\n        for path in urls:\n            yield scrapy.Request(response.urljoin(path), callback=self.parse_state_stores)\n", "path": "locations/spiders/pizzaranch.py"}]}