ngram sequencelengths 0 82k |
|---|
[
"class Meta: fields = ( \"id\", \"couverture\", \"usage\", \"millesime\", \"map_color\",",
"( \"nom\", \"code_insee\", \"surface\", ) geo_field = \"mpoly\" model =",
"\"surface\", ) geo_field = \"mpoly\" model = ZonesBaties2018 class CouvertureSolSerializer(serializers.ModelSerializer):",
"GeoJSON serializer.... |
[
"from django.contrib import admin from .models import SearchResult # Register",
"your models here. class SearchResultAdmin(admin.ModelAdmin): fields = [\"query\", \"heading\", \"url\",",
"import admin from .models import SearchResult # Register your models",
"import SearchResult # Register your models here. c... |
[
"nlu_data = await asyncio.gather( file_importer.get_stories(), file_importer.get_nlu_data() ) # if stories.is_empty()",
"output_path: Text = DEFAULT_MODELS_PATH, force_training: bool = False, fixed_model_name: Optional[Text]",
"train_path = stack.enter_context(TempDirectoryPath(tempfile.mkdtemp())) # bf mod fro... |
[
"if prices[j]<=prices[i]: res.append(prices[i]-prices[j]) break if j==len(prices)-1: res.append(prices[i]) res.append(prices[-1]) return res",
"in range(len(prices)): for j in range(i+1,len(prices)): if prices[j]<=prices[i]: res.append(prices[i]-prices[j]) break",
"List[int]: res = [] for i in range(len(prices)... |
["self._context['is_redraw'] = False self._is_multi = len(sources) > 1 if not","self._vim.command('v(...TRUNCATED) |
["_stdchannel_redirected(stdchannel, dest_filename, mode=\"w\"): \"\"\" A context manager to tempora(...TRUNCATED) |
["\"grey\" app_email = \"<EMAIL>\" app_license = \"MIT\" # Includes in",": \"public/js/doctype.js\"}(...TRUNCATED) |
["= Embedding(self._vocab_size, 64)(question) eb_question = Dropout(0.3)(eb_question) conc = concate(...TRUNCATED) |
[] |
["activationName self.bn_name = bnName self.first_output = num_planes self.in_planes = self.first_ou(...TRUNCATED) |
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