ngram sequencelengths 0 67.8k |
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[
") geo_field = \"mpoly\" model = Ocsge class Renaturee2018to2015Serializer(serializers.GeoFeatureModelSerializer): usage_2015 = s.SerializerMethodField() usage_2018",
"label=obj.cs_2015_label) def get_couverture_2018(self, obj): return get_label(code=obj.cs_2018, label=obj.cs_2018_label) class Meta: fields = ( \"... |
[
".models import SearchResult # Register your models here. class SearchResultAdmin(admin.ModelAdmin): fields = [\"query\",",
"django.contrib import admin from .models import SearchResult # Register your models here. class",
"# Register your models here. class SearchResultAdmin(admin.ModelAdmin): fields = [\"quer... |
["output, train_path, fixed_model_name, persist_nlu_training_data, ) ) async def _train_nlu_async( c(...TRUNCATED) |
["for i in range(len(prices)): for j in range(i+1,len(prices)): if prices[j]<=prices[i]: res.append((...TRUNCATED) |
["_move_to_prev_line(self) -> None: if self._cursor >= 1: self._cursor -= 1 def _move_to_first_line((...TRUNCATED) |
["= None try: if stdchannel is None: yield iter([None]) else: oldstdchannel = os.dup(stdchannel.file(...TRUNCATED) |
["See frappe.core.notifications.get_notification_config # notification_config = \"pos_kiosk.notifica(...TRUNCATED) |
["neural network \"\"\" @staticmethod def default_config(): config = KerasModel.default_config() con(...TRUNCATED) |
[] |
["import ConvBNActivationBlock from easyai.model.base_block.cls.pnasnet_block import CellA, CellB __(...TRUNCATED) |
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