def _load_json(path: Path) -> Union[dict, None]:
if not path.exists():
return None
with path.open('r', encoding='utf-8') as f:
if HAS_RAPIDJSON:
data = load(f)
else:
data = load(f, encoding='utf-8')
return data
async def settings_parser(guild_id):
# Parse settings per guild
with open(
f'{os.path.dirname(os.path.realpath(__file__))}/cogs/core_multi_guild/cache/guild_settings.json'
) as settings_json:
try:
guild_settings = rapidjson.load(settings_json).get(guild_id)
except:
guild_settings = rapidjson.load(settings_json).get('default')
return guild_settings
def __init__(self, n_log_names: list, s_log_names: list, c_log_name: str):
potent = []
fired_neuron = []
weight = []
fired_synapse = []
for nl in n_log_names:
with open(os.path.join(LOG_path, nl), 'r') as logfile:
tmp = rapidjson.load(logfile, number_mode=rapidjson.NM_NATIVE)
potent.append(tmp[str(MULTI_potent_log)])
fired_neuron.append(tmp[str(MULTI_fired_neuron_log)])
for sl in s_log_names:
with open(os.path.join(LOG_path, sl), 'r') as logfile:
tmp = rapidjson.load(logfile, number_mode=rapidjson.NM_NATIVE)
weight.append(tmp[str(MULTI_weight_log)])
fired_synapse.append(tmp[str(MULTI_fired_synapse_log)])
with open(os.path.join(LOG_path, c_log_name)) as logfile:
self.connections = rapidjson.load(logfile,
number_mode=rapidjson.NM_NATIVE)
self.merged_potent = []
for t in range(len(potent[0])):
tick = []
for thread in potent:
tick.extend(thread[t])
self.merged_potent.append(tick)
self.merged_f_n = []
for t in range(len(fired_neuron[0])):
tick = []
for thread in fired_neuron:
tick.extend(thread[t])
self.merged_f_n.append(tick)
self.merged_weight = []
for t in range(len(weight[0])):
tick = []
for thread in weight:
tick.extend(thread[t])
self.merged_weight.append(tick)
self.merged_f_s = []
for t in range(len(fired_synapse[0])):
tick = []
for thread in fired_synapse:
tick.extend(thread[t])
self.merged_f_s.append(tick)
self.n_num = len(self.merged_potent[0])
self.s_num = len(self.connections)
self.max_tick = len(self.merged_potent)
def test_collection_on_post(patch, magic, collection, siren):
request = magic()
response = magic()
user = magic()
patch.object(rapidjson, 'load')
patch.object(Collections, 'apply_owner')
collection.on_post(request, response, user=user)
rapidjson.load.assert_called_with(request.bounded_stream)
collection.apply_owner.assert_called_with(user, rapidjson.load())
collection.model.write.assert_called_with(**rapidjson.load())
siren.__init__.assert_called_with(collection.model,
collection.model.write(),
request.path)
assert response.body == siren.encode()
def load_qubit_operator(file: TextIO) -> QubitOperator:
"""Load an operator object from a file.
Args:
file (str or file-like object): the name of the file, or a file-like object.
Returns:
op (openfermion.ops.QubitOperator): the operator.
"""
if isinstance(file, str):
with open(file, "r") as f:
data = json.load(f)
else:
data = json.load(file)
return convert_dict_to_qubitop(data)
def load_args_from_config_file(path=None):
quiet = False
if path is None:
quiet = True
path = os.path.join(XDG_CONFIG_HOME, 'satori', 'rtm-cli.config')
result = {}
try:
try:
with open(path) as f:
fileconfig = toml.load(f)
for k, v in fileconfig.items():
print("From config file: {0} = {1}".format(k, v),
file=sys.stderr)
result[u'--' + k] = v
except toml.TomlDecodeError:
try:
# Just in case the config file has the format credentials.json
with open(path) as f:
fileconfig = json.load(f)
for k, v in fileconfig.items():
if k == 'auth_role_name':
k = 'role_name'
if k == 'auth_role_secret_key':
k = 'role_secret'
print("From config file: {0} = {1}".format(k, v),
file=sys.stderr)
result[u'--' + k] = v
except ValueError:
print("Invalid config file at {0}".format(path),
file=sys.stderr)
except (IOError, OSError):
if not quiet:
print("Couldn't read the config file at {0}".format(path),
file=sys.stderr)
return result
def __init__(self,
url="ws://127.0.0.1",
port="8964",
bulkSize=20,
userDefinedDictFILE=None):
self.port = port
if url.startswith("ws"):
self.ws_url = "{}:{}/Articut/WebSocket".format(url, port)
self.url = "{}:{}".format(url.replace("ws", "http"), port)
elif url.startswith("http"):
self.ws_url = "{}:{}/Articut/WebSocket".format(
url.replace("http", "ws"), port)
self.url = "{}:{}".format(url, port)
else:
self.ws_url = "ws://{}:{}/Articut/WebSocket".format(url, port)
self.url = "http://{}:{}".format(url, port)
#enableTrace(True)
self.ws = create_connection("{}/API/".format(self.ws_url))
self.ws_bulk = create_connection("{}/BulkAPI/".format(self.ws_url))
self.bulkSize = bulkSize
self.userDefinedDictFILE = None
self.openDataPlaceAccessBOOL = False
self.fileSizeLimit = 1024 * 1024 * 10 # 10 MB
self.userDefinedDICT = {}
if userDefinedDictFILE:
try:
if os.path.getsize(userDefinedDictFILE) <= self.fileSizeLimit:
userDefinedFile = json.load(
open(userDefinedDictFILE, "r", encoding="utf8"))
if type(userDefinedFile) == dict:
self.userDefinedDICT = userDefinedFile
else:
print("User Defined File must be dict type.")
return {
"status":
False,
"msg":
"UserDefinedDICT Parsing ERROR. Please check your the format and encoding."
}
else:
print("Maximum file size limit is 10 MB.")
except Exception as e:
print("User Defined File Loading Error.")
print(str(e))
return {
"status":
False,
"msg":
"UserDefinedDICT Parsing ERROR. Please check your the format and encoding."
}
# Toolkit
self.analyse = AnalyseManager()
self.localRE = TaiwanAddressAnalizer(locale="TW")
self.LawsToolkit = LawsToolkit()
self.NER = GenericNER()
self.POS = ArticutPOS()
def remove_images_from_reconstruction(sfm_data, images_to_remove):
with open(sfm_data, "r") as infile:
data = json.load(infile)
# Get all valid views (not in image to remove) and remove poses for images to remove.
invalid_pose_ids = [
view["value"]["ptr_wrapper"]["data"]["id_pose"]
for view in data["views"]
if view["value"]["ptr_wrapper"]["data"]["filename"] in images_to_remove
]
data["extrinsics"] = [
pose for pose in data["extrinsics"]
if pose["key"] not in invalid_pose_ids
]
valid_view_ids = [
view["value"]["ptr_wrapper"]["data"]["id_view"]
for view in data["views"]
]
# Removing structures referencing those removed views.
for structure in data["structure"]:
for observation in structure["value"]["observations"]:
if observation["key"] not in valid_view_ids:
structure["value"]["observations"].remove(observation)
# find a point has fewer than 2 views and remove them
data["structure"][:] = [
data["structure"][i] for i in range(0, len(data["structure"]))
if len(data["structure"][i]["value"]["observations"]) >= 2
]
with open(sfm_data, "w+") as outfile:
json.dump(data, outfile, indent=4)
def test_load_simple(self):
jsonstr = """1"""
stream = StringIO()
stream.write(jsonstr)
stream.seek(0)
retobj = rapidjson.load(stream)
self.assertEqual(retobj, 1)
def analyze_graphs(path):
inpath, outpath = path
if not os.path.exists(outpath):
try:
with open(inpath, 'r') as f:
all_graphs = json.load(f)
times = list(all_graphs.keys())
data = init_empyty_df(sorted(times))
for t, g in all_graphs.items():
G = json_graph.node_link_graph(g)
#nx.write_gexf(nxG,'2018_10.gexf')
G = nk.nxadapter.nx2nk(G)
G.removeSelfLoops()
#o = nk.overview(G)
measures = graph_measures(G)
data.loc[t] = measures
data.to_csv(outpath)
print('Save to %s' % outpath)
except:
print('Skip %s' % s)
pass
def _load_shard_channeldata(subdir, fn, repodata):
pth = os.path.join("repodata-shards", get_shard_path(subdir, fn))
if not os.path.exists(pth):
assert False, repodata["packages"][fn]
with open(pth, "r") as fp:
shard = json.load(fp)
return shard["channeldata"], shard["channeldata_version"]
def assign_room(config_file, times, verbose, shuffle_room, **kwargs):
"""Assign room to sensors to optimize the sum of intra-room correlation coefficients
"""
with open(config_file) as file:
config_dict = rapidjson.load(file)
config_dict["verbose"] = verbose >= 2
for key, val in kwargs.items():
if val:
config_dict[key] = val
config = config_loader.ColocationConfig(**config_dict)
io.make_dir(config.base_file_name)
if times == 1:
tasks.TASKS[config.task].run(config)
return
accuracies = np.zeros(times)
for i in progressbar.progressbar(range(times)):
if shuffle_room:
random.shuffle(config.selected_rooms)
config.seed = i
_, accu, _ = tasks.TASKS[config.task].run(config)
accuracies[i] = accu
io.save_npz(accuracies, config.join_name("accuracies.npz"))
summary = scipy.stats.describe(accuracies)
if verbose:
print("mean accuracy: {}, minmax: {}".format(summary.mean,
summary.minmax))
def __init__(self):
try:
f = open('last-plot-data.json', 'r')
self.lastJson = rapidjson.load(f)
f.close()
except:
self.lastJson = rapidjson.loads('{}')
def __init__(self, url="http://127.0.0.1", port="8964", bulkSize=20, userDefinedDictFILE=None):
self.port = port
if "http" not in url:
self.url = "http://{}:{}".format(url, port)
else:
self.url = "{}:{}".format(url, port)
self.bulkSize = bulkSize
self.processes = cpu_count()
if self.processes > 8:
self.processes = 8
self.userDefinedDictFILE = None
self.openDataPlaceAccessBOOL=False
self.fileSizeLimit = 1024 * 1024 * 10 # 10 MB
self.userDefinedDICT = {}
if userDefinedDictFILE:
try:
if os.path.getsize(userDefinedDictFILE) <= self.fileSizeLimit:
userDefinedFile = json.load(open(userDefinedDictFILE, "r", encoding="utf8"))
if type(userDefinedFile) == dict:
self.userDefinedDICT = userDefinedFile
else:
print("User Defined File must be dict type.")
return {"status": False, "msg": "UserDefinedDICT Parsing ERROR. Please check your the format and encoding."}
else:
print("Maximum file size limit is 10 MB.")
except Exception as e:
print("User Defined File Loading Error.")
print(str(e))
return {"status": False, "msg": "UserDefinedDICT Parsing ERROR. Please check your the format and encoding."}
# Toolkit
self.analyse = AnalyseManager()
self.localRE = TaiwanAddressAnalizer(locale="TW")
def test_load_with_io_stringio(self):
jsonstr = """{"test": [1, "hello"]}"""
stream = StringIO()
stream.write(jsonstr)
stream.seek(0)
retobj = rapidjson.load(stream)
self.assertEqual(retobj["test"], [1, "hello"])
def test_load_simple(self):
jsonstr = """1"""
stream = StringIO()
stream.write(jsonstr)
stream.seek(0)
retobj = rapidjson.load(stream)
self.assertEqual(retobj, 1)
def test_load_with_io_stringio(self):
jsonstr = """{"test": [1, "hello"]}"""
stream = StringIO()
stream.write(jsonstr)
stream.seek(0)
retobj = rapidjson.load(stream)
self.assertEqual(retobj["test"], [1, "hello"])
def __load_metadata(self, file_location):
if not os.path.exists(file_location):
print(f"No metadata file found at this location {file_location}")
exit()
with open(file_location) as metadata_file:
metadata = json.load(metadata_file)
return metadata
def update_postgres():
PSQL_CREDENTIALS = rapidjson.load(
open('/Users/joelhoward/repos/NHLFantasyPy/PSQL_CREDENTIALS.json'))
conn = psycopg2.connect("dbname=" + PSQL_CREDENTIALS['dbname'] + " user="******" password="******"SELECT date FROM game_logs;")
from_date = max([d[0] for d in cur.fetchall()])
game_logs, player_info, team_info = data_scrape(do_update=True,
from_date=from_date)
copy_from_stringio(conn, game_logs, 'game_logs')
cur.execute("SELECT player_id FROM player_info;")
ids = [id[0] for id in cur.fetchall()]
new_ids = []
for id in list(player_info['player_id']):
if id not in ids:
new_ids.append(id)
if len(new_ids) > 0:
copy_from_stringio(conn,
player_info[player_info['player_id'].isin(new_ids)],
'player_info')
cur.execute("DELETE FROM team_info;")
copy_from_stringio(conn, team_info, 'team_info')
conn.commit()
cur.close()
conn.close()
def load(cls, loc: str):
"""
Instantiates the DataStorage-inherited class by loading all files saved by `save` of that same class.
:param str loc: Path to directory from which to load data
:return: An instance of this class with the content of the files
"""
fields = dict()
# List of fields non-loadable using the SERIALIZATIONS functions
generals = list()
for field_name in cls.__dict__["__dataclass_fields__"]:
for _, load, ext in SERIALIZATIONS.values():
datapath = os.path.join(loc, f"{field_name}.{ext}")
if os.path.exists(datapath):
fields[field_name] = load(datapath)
break
else:
generals.append(field_name)
# Check if the field was saved with pickle
any_json = False
for key in generals:
pfile = os.path.join(loc, f"{key}.{cls._pickle_ext}")
if os.path.isfile(pfile):
with open(pfile, "rb") as f:
fields[key] = pickle.load(f)
else:
any_json = True
if any_json:
with open(os.path.join(loc, cls._json_name), encoding="utf-8") as f:
fields.update(rapidjson.load(f))
return cls(**fields)
def json_load(datafile: IO) -> Any:
"""
load data with rapidjson
Use this to have a consistent experience,
set number_mode to "NM_NATIVE" for greatest speed
"""
return rapidjson.load(datafile, number_mode=rapidjson.NM_NATIVE)
def load(
fp: IO[str],
object_hook: "Callable[[dict], Any]" = object_hook,
**kwargs: Any,
) -> dict:
"""Loads a file object as JSON, with appropriate object hooks."""
return json.load(fp, object_hook=object_hook, **kwargs)
def test_file_object():
for stream in tempfile.TemporaryFile(), tempfile.TemporaryFile('w+', encoding='utf-8'):
with stream:
datum = ['1234567890', 1234, 3.14, '~𓆙~']
rj.dump(datum, stream)
stream.seek(0)
assert rj.load(stream) == datum
def getCityForecastDict(city):
forecastDICT = {}
for c in CityDICT:
if city in c:
forecastDICT = json.load(open(c, "r", encoding="UTF-8"))
break
return forecastDICT
def load_interaction_operator(file: LoadSource) -> InteractionOperator:
"""Load an interaction operator object from a file.
Args:
file (str or file-like object): the name of the file, or a file-like object.
Returns:
op (openfermion.ops.InteractionOperator): the operator.
"""
if isinstance(file, str):
with open(file, "r") as f:
data = json.load(f)
else:
data = json.load(file)
return convert_dict_to_interaction_op(data)
def _read_shard_chunk(shard_pths):
shards = []
for shard_pth in shard_pths:
if os.path.exists(shard_pth):
with open(shard_pth, "r") as fp:
shards.append(json.load(fp))
return shards
def get_last_played_level():
mc_dir = SETTINGS.value("MinecraftDirectory",
utils.get_default_minecraft_dir())
mc_saves = os.path.join(mc_dir, "saves")
worlds_recently_modified = sorted(
[os.path.join(mc_saves, s) for s in os.listdir(mc_saves)],
key=os.path.getmtime,
reverse=True)
for world in worlds_recently_modified:
try:
level = NBTFile(os.path.join(world, "level.dat"))
with open(
os.path.join(
world, "advancements",
os.listdir(os.path.join(world,
"advancements"))[0])) as f:
advancements = dict(json.load(f))
break
except:
continue
data = {
"name": str(level["Data"]["LevelName"]),
"version": str(level["Data"]["Version"]["Name"]),
"dataversion": int(str(level["Data"]["DataVersion"])),
"adv": advancements
}
return data
def load_config_file(path: str) -> Dict[str, Any]:
"""
Loads a config file from the given path
Parameters:
-----------
path:
path as str
Return:
-------
configuration as dictionary
"""
try:
# Read config from stdin if requested in the options
with open(path) if path != '-' else sys.stdin as file:
config = rapidjson.load(file, parse_mode=CONFIG_PARSE_MODE)
except FileNotFoundError:
raise OperationalException(
f'Config file "{path}" not found!'
' Please create a config file or check whether it exists.')
except rapidjson.JSONDecodeError as e:
err_range = log_config_error_range(path, str(e))
raise OperationalException(
f'{e}\n'
f'Please verify the following segment of your configuration:\n{err_range}'
if err_range else 'Please verify your configuration file for syntax errors.'
)
return config
def load_file(path: Path) -> Dict[str, Any]:
try:
with path.open('r') as file:
config = rapidjson.load(file, parse_mode=CONFIG_PARSE_MODE)
except FileNotFoundError:
raise OperationalException(f'File "{path}" not found!')
return config
def getRateData():
rateDICT = None
dateSTR = datetime.utcnow().strftime("%Y%m%d")
filePath = os.path.join(BASE_PATH, "rate_{}.json".format(dateSTR))
# 如果本機已有當天的匯率資料，直接讀取使用
if os.path.exists(filePath):
rateDICT = json.load(open(filePath, encoding="utf-8"))
# 本機無資料時，利用 [全球即時匯率API] 取得最新匯率
else:
# 取得最新的匯率資料
result = get("https://tw.rter.info/capi.php")
if result.status_code == codes.ok:
rateDICT = result.json()
# 儲存匯率資料，下次就可以直接讀取
with open(filePath, "w", encoding="utf-8") as f:
json.dump(rateDICT, f, ensure_ascii=False)
else:
print("[ERROR] getRateData() status_code => {}".format(
result.status_code))
return rateDICT
def load_interaction_rdm(file: TextIO) -> InteractionRDM:
"""Load an interaction RDM object from a file.
Args:
file: a file-like object to load the interaction RDM from.
Returns:
The interaction RDM.
"""
if isinstance(file, str):
with open(file, "r") as f:
data = json.load(f)
else:
data = json.load(file)
return convert_dict_to_interaction_rdm(data)
def get_config_values(project_path):
config = get_full_path(project_path)
print(config)
with open(config) as file:
config_values = rapidjson.load(file)
return config_values
def open(self, path, font=None):
with open(path, 'r') as file:
d = json.load(file)
assert self.version >= d.pop(".formatVersion")
if font is not None:
self._font = font
return self.structure(d, Font)
def on_post(self, request, response, **params):
json = rapidjson.load(request.bounded_stream)
self.apply_owner(params['user'], json)
item = self.model.write(**json)
if item is None:
raise HTTPBadRequest('Bad request', 'bad request')
body = Siren(self.model, item, request.path)
response.body = body.encode()
def test_load(self):
jsonstr = b"""{"test": [1, "hello"]}"""
fp = NamedTemporaryFile(delete=False)
fp.write(jsonstr)
fp.close()
check_fp = open(fp.name)
retobj = rapidjson.load(check_fp)
self.assertEqual(retobj["test"], [1, "hello"])
# teardown
check_fp.close()
os.remove(fp.name)
def test_item_on_patch(patch, magic, item, siren):
patch.object(rapidjson, 'load')
request = magic()
response = magic()
user = magic()
item.on_patch(request, response, user=user, id=1)
item.model.select().where.assert_called_with(False)
user.do.assert_called_with('edit', item.model.select().where(),
item.model)
user.do().get().edit.assert_called_with(rapidjson.load())
siren.__init__.assert_called_with(item.model, user.do().get(),
request.path)
assert response.body == siren().encode()
def test_load_with_utf8(self):
jsonstr = """{"test": [1, "こんにちは"]}"""
if sys.version_info >= (3, ):
fp = NamedTemporaryFile(mode='w', delete=False, encoding='utf-8')
else:
fp = NamedTemporaryFile(mode='w', delete=False)
fp.write(jsonstr)
fp.close()
check_fp = open(fp.name)
retobj = rapidjson.load(check_fp)
self.assertEqual(retobj["test"], [1, "こんにちは"])
# teardown
check_fp.close()
os.remove(fp.name)
def on_patch(self, request, response, **params):
"""
Executes a patch request on a single item
"""
user = params['user']
query = self.model.select().where(self.model.id == params['id'])
try:
result = user.do('edit', query, self.model).get()
except DoesNotExist:
raise HTTPNotFound()
json = rapidjson.load(request.bounded_stream)
if result.edit(json) is None:
raise HTTPBadRequest('Bad request', 'bad request')
body = Siren(self.model, result, request.path)
response.body = body.encode()