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README.md
10
README.md
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@ -50,6 +50,7 @@ properties = scrape_property(
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property_younger_than=30, # sold in last 30 days - listed in last x days if (for_sale, for_rent)
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# pending_or_contingent=True # use on for_sale listings to find pending / contingent listings
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# mls_only=True, # only fetch MLS listings
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# proxy="http://user:pass@host:port" # use a proxy to change your IP address
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)
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print(f"Number of properties: {len(properties)}")
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@ -61,7 +62,7 @@ print(properties.head())
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### CLI
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```
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usage: homeharvest [-l {for_sale,for_rent,sold}] [-o {excel,csv}] [-f FILENAME] [-p PROXY] [-d DAYS] [-r RADIUS] [-m] location
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usage: homeharvest [-l {for_sale,for_rent,sold}] [-o {excel,csv}] [-f FILENAME] [-p PROXY] [-d DAYS] [-r RADIUS] [-m] [-c] location
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Home Harvest Property Scraper
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@ -79,8 +80,11 @@ options:
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Proxy to use for scraping
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-d DAYS, --days DAYS Sold/listed in last _ days filter.
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-r RADIUS, --radius RADIUS
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Get comparable properties within _ (eg. 0.0) miles. Only applicable for individual addresses.
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-m, --mls_only If set, fetches only MLS listings.
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Get comparable properties within _ (e.g., 0.0) miles. Only applicable for individual addresses.
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-m, --mls_only If set, fetches only MLS listings.
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-c, --pending_or_contingent
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If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.
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```
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```bash
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> homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest
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@ -7,9 +7,11 @@ filename = f"HomeHarvest_{current_timestamp}.csv"
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properties = scrape_property(
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location="San Diego, CA",
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listing_type="sold", # for_sale, for_rent
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property_younger_than=30, # sold/listed in last 30 days
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mls_only=True, # only fetch MLS listings
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listing_type="sold", # or (for_sale, for_rent)
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property_younger_than=30, # sold in last 30 days - listed in last x days if (for_sale, for_rent)
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# pending_or_contingent=True # use on for_sale listings to find pending / contingent listings
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# mls_only=True, # only fetch MLS listings
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# proxy="http://user:pass@host:port" # use a proxy to change your IP address
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)
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print(f"Number of properties: {len(properties)}")
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@ -60,6 +60,13 @@ def main():
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help="If set, fetches only MLS listings.",
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)
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parser.add_argument(
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"-c",
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"--pending_or_contingent",
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action="store_true",
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help="If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.",
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)
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args = parser.parse_args()
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result = scrape_property(
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@ -69,6 +76,7 @@ def main():
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proxy=args.proxy,
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mls_only=args.mls_only,
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property_younger_than=args.days,
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pending_or_contingent=args.pending_or_contingent,
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)
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if not args.filename:
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@ -105,10 +105,10 @@ class RealtorScraper(Scraper):
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)
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able_to_get_lat_long = (
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property_info
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and property_info.get("address")
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and property_info["address"].get("location")
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and property_info["address"]["location"].get("coordinate")
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property_info
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and property_info.get("address")
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and property_info["address"].get("location")
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and property_info["address"]["location"].get("coordinate")
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)
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listing = Property(
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@ -122,8 +122,10 @@ class RealtorScraper(Scraper):
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list_date=property_info["basic"]["list_date"].split("T")[0]
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if property_info["basic"].get("list_date")
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else None,
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prc_sqft=property_info["basic"].get("price") / property_info["basic"].get("sqft")
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if property_info["basic"].get("price") and property_info["basic"].get("sqft")
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prc_sqft=property_info["basic"].get("price")
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/ property_info["basic"].get("sqft")
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if property_info["basic"].get("price")
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and property_info["basic"].get("sqft")
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else None,
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last_sold_date=property_info["basic"]["sold_date"].split("T")[0]
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if property_info["basic"].get("sold_date")
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@ -146,7 +148,7 @@ class RealtorScraper(Scraper):
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year_built=property_info["details"].get("year_built"),
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garage=property_info["details"].get("garage"),
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stories=property_info["details"].get("stories"),
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)
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),
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)
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return [listing]
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@ -175,7 +177,10 @@ class RealtorScraper(Scraper):
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if property_info["listings"] is None:
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return None
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primary_listing = next((listing for listing in property_info["listings"] if listing["primary"]), None)
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primary_listing = next(
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(listing for listing in property_info["listings"] if listing["primary"]),
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None,
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)
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if primary_listing:
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return primary_listing["listing_id"]
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else:
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@ -328,7 +333,11 @@ class RealtorScraper(Scraper):
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else "sort: [{ field: list_date, direction: desc }]"
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)
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pending_or_contingent_param = "or_filters: { contingent: true, pending: true }" if self.pending_or_contingent else ""
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pending_or_contingent_param = (
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"or_filters: { contingent: true, pending: true }"
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if self.pending_or_contingent
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else ""
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)
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if search_type == "comps": #: comps search, came from an address
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query = """query Property_search(
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@ -384,7 +393,7 @@ class RealtorScraper(Scraper):
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)
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else: #: general search, came from an address
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query = (
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"""query Property_search(
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"""query Property_search(
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$property_id: [ID]!
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$offset: Int!,
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) {
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@ -394,7 +403,9 @@ class RealtorScraper(Scraper):
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}
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limit: 1
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offset: $offset
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) %s""" % results_query)
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) %s"""
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% results_query
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)
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payload = {
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"query": query,
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@ -477,13 +488,21 @@ class RealtorScraper(Scraper):
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"offset": 0,
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}
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search_type = "comps" if self.radius and location_type == "address" else "address" if location_type == "address" and not self.radius else "area"
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search_type = (
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"comps"
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if self.radius and location_type == "address"
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else "address"
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if location_type == "address" and not self.radius
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else "area"
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)
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if location_type == "address":
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if not self.radius: #: single address search, non comps
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property_id = location_info["mpr_id"]
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search_variables |= {"property_id": property_id}
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gql_results = self.general_search(search_variables, search_type=search_type)
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gql_results = self.general_search(
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search_variables, search_type=search_type
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)
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if gql_results["total"] == 0:
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listing_id = self.get_latest_listing_id(property_id)
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if listing_id is None:
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@ -561,8 +580,17 @@ class RealtorScraper(Scraper):
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@staticmethod
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def _parse_description(result: dict) -> Description:
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description_data = result.get("description", {})
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if description_data is None or not isinstance(description_data, dict):
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print("Warning: description_data is invalid!")
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description_data = {}
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style = description_data.get("type", "")
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if style is not None:
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style = style.upper()
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return Description(
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style=description_data.get("type", "").upper(),
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style=style,
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beds=description_data.get("beds"),
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baths_full=description_data.get("baths_full"),
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baths_half=description_data.get("baths_half"),
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@ -1,6 +1,6 @@
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[tool.poetry]
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name = "homeharvest"
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version = "0.3.0"
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version = "0.3.1"
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description = "Real estate scraping library supporting Zillow, Realtor.com & Redfin."
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authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
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homepage = "https://github.com/ZacharyHampton/HomeHarvest"
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@ -16,7 +16,12 @@ def test_realtor_pending_or_contingent():
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pending_or_contingent=False,
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)
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assert all([result is not None for result in [pending_or_contingent_result, regular_result]])
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assert all(
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[
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result is not None
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for result in [pending_or_contingent_result, regular_result]
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]
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)
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assert len(pending_or_contingent_result) != len(regular_result)
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