Channels State Forest

Channels State Forest is a 4,836-acre (19.57 km2) state forest located in Washington and Russell counties, Virginia.[1] The Channels Natural Area Preserve is located within the forest, which protects the Great Channels of Virginia, comprising slot canyons formed within 400-million-year-old sandstone outcroppings.[2]

Channels State Forest
Location within Virginia
LocationWashington and Russell counties, Virginia
Nearest cityAbingdon
Coordinates36°49′40.9″N 81°57′43.5″W
Area4,836 acres (19.57 km2)
Governing bodyVirginia Department of Forestry

Channels State Forest is owned and maintained by the Virginia Department of Forestry. The forest is open to the public for hunting, horseback riding, and hiking; camping and motorized vehicles are prohibited.[3] Some uses require visitors to possess a valid State Forest Use Permit.[4]

Images

gollark: https://aphyr.com/posts/342-typing-the-technical-interview
gollark: If this worked as expected, in theory you could do```pythonraise quibble("abcd")```but alas, no.
gollark: But which runs much faster.
gollark: ```pythonfrom requests_futures.sessions import FuturesSessionimport concurrent.futures as futuresimport randomtry: import cPickle as pickleexcept ImportError: import pickletry: words_to_synonyms = pickle.load(open(".wtscache")) synonyms_to_words = pickle.load(open(".stwcache"))except: words_to_synonyms = {} synonyms_to_words = {}def add_to_key(d, k, v): d[k] = d.get(k, set()).union(set(v))def add_synonyms(syns, word): for syn in syns: add_to_key(synonyms_to_words, syn, [word]) add_to_key(words_to_synonyms, word, syns)def concat(list_of_lists): return sum(list_of_lists, [])def add_words(words): s = FuturesSession(max_workers=100) future_to_word = {s.get("https://api.datamuse.com/words", params={"ml": word}): word for word in words} future_to_word.update({s.get("https://api.datamuse.com/words", params={"ml": word, "v": "enwiki"}): word for word in words}) for future in futures.as_completed(future_to_word): word = future_to_word[future] try: data = future.result().json() except Exception as exc: print(f"{exc} fetching {word}") else: add_synonyms([w["word"] for w in data], word)def getattr_hook(obj, key): results = list(synonyms_to_words.get(key, set()).union(words_to_synonyms.get(key, set()))) if len(results) > 0: return obj.__getattribute__(random.choice(results)) else: raise AttributeError(f"Attribute {key} not found.")def wrap(obj): add_words(dir(obj)) obj.__getattr__ = lambda key: getattr_hook(obj, key)wrap(__builtins__)print(words_to_synonyms["Exception"])```New version which tends to reduce weirder output.
gollark: https://github.com/joelgrus/fizz-buzz-tensorflow/blob/master/Fizz%20Buzz%20in%20Tensorflow.ipynb

See also

References

  1. "Acreage". Virginia Department of Forestry. Retrieved April 8, 2017.
  2. "Channels State Forest (brochure)" (PDF). Virginia Department of Forestry. Retrieved December 14, 2016.
  3. "Channels State Forest". Virginia Department of Forestry. Retrieved April 8, 2017.
  4. "Virginia's State Forests". Virginia Department of Forestry. Retrieved April 8, 2017.


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