code stringlengths 3 6.57k |
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and (item["value"] in item["synonyms"]) |
remove(item["value"]) |
append(new_dict) |
target_gazetteer.write(item["value"] + "\n") |
json.dump(mapping_dict, target_mapping, ensure_ascii=False, indent=2) |
source_en.close() |
target_gazetteer.close() |
target_mapping.close() |
_create_intents_directories(self, intents) |
intents.values() |
languages.items() |
self.create_directory(mindmeld_intent_directory) |
open(dialogflow_intent_file, "r") |
open(os.path.join(mindmeld_intent_directory, "test.txt") |
open(os.path.join(mindmeld_intent_directory, "train.txt") |
json.load(source_en) |
format(sysEntity=df_meta[1:]) |
self.clean_name(mm_meta) |
self.clean_name(df_meta[1:]) |
all_text.append(sentence) |
train_test_split(all_text, test_size=0.2) |
target_test.write("\n".join(test) |
target_train.write("\n".join(train) |
source_en.close() |
target_test.close() |
target_train.close() |
_get_file_names(self, level) |
levels (str) |
os.path.join(self.dialogflow_project_directory, level) |
os.listdir(directory) |
re.match(p, name) |
match.start(1) |
match.group(2) |
create_mindmeld_training_data(self) |
self._get_file_names("entities") |
self._create_entities_directories(entities) |
self._get_file_names("intents") |
self._create_intents_directories(intents) |
create_handle(params) |
app.handle(" + params + ") |
create_header(function_name) |
create_function(handles, function_name, replies) |
isinstance(handles, list) |
DialogflowConverter.create_handle(handle) |
DialogflowConverter.create_header(function_name) |
format(replies) |
responder.reply(replies) |
clean_name(name) |
name (no spaces, all lowercase) |
re.sub(r"[^\w\s-]", "", name) |
strip() |
lower() |
re.sub(r"[-\s]+", "_", name) |
clean_check(self, name, lst) |
self.clean_name(name) |
lst.add(cleaned) |
valid (no spaces or special characters) |
create_mindmeld_init(self) |
os.path.join(self.mindmeld_project_directory, "__init__.py") |
Application(__name__) |
zip(begin_info, [1, 2, 1, 1, 0]) |
target.write(info + "\n" * spacing) |
self._get_file_names("intents") |
enumerate(intents.keys() |
open(df_main) |
json.load(source) |
isinstance(data, list) |
str(i) |
self.clean_name(datastore["name"]) |
target.write("\n") |
convert_project(self) |
dialect (if applicable) |
English (Australia) |
base (currently beta in Dialogflow) |
logger.info("Converting project.") |
self.create_mindmeld_directory() |
self.create_mindmeld_training_data() |
os.path.dirname(os.path.realpath(__file__) |
self.create_config(self.mindmeld_project_directory, file_loc) |
self.create_main(self.mindmeld_project_directory, file_loc) |
self.create_mindmeld_init() |
logger.info("Project converted.") |
print(int("a") |
print(int(995.23) |
print(float(42) |
print(2 ** 2018) |
str(2 ** 2018) |
print(pow) |
print(pow(i) |
print(len(pow) |
print("Yin" + " " + "Yang") |
print("because " * 42) |
int((str(2) |
print(pow2) |
print(str(2) |
print(len(str(pow2) |
listBooks() |
open("books.txt", "r") |
file.readlines() |
file.close() |
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