I am trying to use the SearchGlobalRequest API method for global, full-text search on Telegram, but I am not sure what to use for some of the arguments, especially the offset_peer parameter. When I do this:
try:
result = client(SearchGlobalRequest(
q=search_term,
filter=None,
min_date=datetime.datetime.strptime(min_date, '%Y-%m-%d'),
max_date=datetime.datetime.strptime(max_date, '%Y-%m-%d'),
offset_rate=-1,
# offset_peer=None,
offset_id=-1,
limit=10
))
except Exception as e:
print(e)
I get __init__() missing 1 required positional argument: 'offset_peer'.
When I try to pass None as offset_peer, I get Cannot cast NoneType to any kind of Peer. I am not trying to search in any specific channel, I just want to specify the start and end date and find all (or rather as many as possible) matching results.
I am using Telethon version 1.24.0.
Next code works for me:
from telethon.tl.functions.messages import SearchGlobalRequest
from telethon.tl.types import InputMessagesFilterEmpty, InputPeerEmpty
results = client(SearchGlobalRequest(
q='your_query_here',
filter=InputMessagesFilterEmpty(),
min_date=None,
max_date=None,
offset_rate=0,
offset_peer=InputPeerEmpty(),
offset_id=0,
limit=100,
folder_id=None
))
print(results.stringify())
Related
When I use the diff function in my snippet:
for customer_id, cus in tqdm(df.groupby(['customer_ID'])):
# Get differences
diff_df1 = cus[num_features].diff(1, axis = 0).iloc[[-1]].values.astype(np.float32)
I get:
NotImplementedError
The exact same code did run without any error before (on Colab), whereas now I'm using an Azure DSVM via JupyterHub and I get this error.
I already found this
pandas pd.DataFrame.diff(axis=1) NotImplementationError
but the solution doesnt work for me as I dont have any Date types. Also I did upgrade pandas but it didnt change anything.
EDIT:
I have found that the error occurs when the datatype is 'int16' or 'int8'. Converting the dtypes to 'int64' solves it.
However I leave the question open in case someone can explain it or show a solution that works with int8/int16.
I am failing to use readNetFromDarknet function for the reasons I do not understand. I am trying to use yolo3-spp with this configuration file https://github.com/pjreddie/darknet/blob/master/cfg/yolov3-spp.cfg.
import cv2
net = cv2.dnn.readNetFromDarknet("../models/yolov3-spp.weights", "../models/yolov3-spp.cfg")
However, this gives me the following error:
error: OpenCV(4.5.4) /tmp/pip-req-build-3129w7z7/opencv/modules/dnn/src/darknet/darknet_io.cpp:660: error: (-215:Assertion failed) separator_index < line.size() in function 'ReadDarknetFromCfgStream
Interestingly, if I use readNet instead of readNetFromDarknet, it seems to work just fine. Should I stick to using readNet instead and why readNetFromDarknet is not actually working?
Your problem in order function arguments. readNetFromDarknet waits first config file and second - weights. A readNet function can swap arguments if they have a wrong order.
So right code:
net = cv2.dnn.readNetFromDarknet("../models/yolov3-spp.cfg", "../models/yolov3-spp.weights")
i'm trying to create a udf which contains other function, then i'm registering the function in spark to use that in select query. I need to pass the df(temp table) values as input to the function which is registered.
When tried executing the function getting error as follows
Error: PicklingError: Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063
def funcmain(a,b,c,lvl,x):
lvl1=lvl
x1=x
while lvl1!=lv1:
x1=x
if x1!= something:
x1= something
func1(a,b,c)
return x1
udf_fun = spark.register.udf("funcmain",funcmain)
How can i create a list which would log the symbols for each symbol warning ?
Everytime I execute data = web.DataReader(ticker, 'yahoo', start, end) i get symbol warnings, i want to create a list of symbols which i got the warning for how can i do that?
SymbolWarning: Failed to read symbol: 'BRK.B', replacing with NaN.
warnings.warn(msg.format(sym), SymbolWarning)
Full code :
start = datetime.date(2008,11,1)
end = datetime.date.today()
# df = web.get_data_yahoo(tickers, start, end)
df = web.DataReader(tickers, 'yahoo', start, end)
It looks like yahoo in your case is rejecting requests after a set limit.
I also ran into the same error. Basically we need to catch the warnings and extract the symbols from it.
Easier said than done.. I wasn't able to do it with try & except. (If anybody was able to, please let me know..).
I found out warnings had a catch_warnings subclass (context manager) which I can use to capture the warning messages and extract the symbols from them.
The way I did (maybe not the best way):
import warnings
import pandas_datareader
list_ = ["AAPL","TSLA","XYZ","QUAL","IOV"] # Sample list of symbols
bad_symbol_list=[]
df = pandas_datareader.yahoo.daily.YahooDailyReader(list_, start='2008-01-11',end='2020-01-31', interval='d')
with warnings.catch_warnings(record=True) as err:
warnings.resetwarnings()
df_processed=df.read()
for w in err:
print(w.message)
tmp = w.message.args[0].replace("'","")
bad_symbol_list +=[ tmp.split(" ")[4].replace("," , "") ]
print(bad_symbol_list)
Output:
Failed to read symbol: 'XYZ', replacing with NaN.
Failed to read symbol: 'IOV', replacing with NaN.
['XYZ', 'IOV']
I'm using a python code with the traci library to know if there are any vehicles near a certain distance to a chosen vehicle, to test a solution I'm trying to implement I need to know a vehicle's current edge.
I'm on Ubuntu 18.04.3 LTS, using sublime to edit the code and the os, sys, optparse, subprocess, random, math libraries. I've tried using getLaneId and getEdgeId, the last one is not in the documentation but I tough I've seen it somewhere and tried to test it.
. Another option that i had was using getNeighbors but i didn't know exactly how to use it and it returned the same error message as the previous commands.
def run():
step = 0
while traci.simulation.getMinExpectedNumber() > 0:
traci.simulationStep()
print(step)
print(distancia("veh1","veh0"))
step += 1
if step > 2:
print(traci.vehicle.getLaneId("veh0"))
traci.close()
sys.stdout.flush()
All of them returned the following error message : AttributeError: VehicleDomain instance has no attribute 'getLaneId'. But I think the vehicle domain has indeed the getLaneId attribute since it is in the documentation: https://sumo.dlr.de/pydoc/traci._vehicle.html#VehicleDomain-getSpeed.
I was expecting it to return the edge's id. Please I need help with this problem. Thank you in advance.
The TraCI command for edgeID can be found in the _vehicle.VehicleDomain module. The syntax is as follows:
traci._vehicle.VehicleDomain.getRoadID(self, vehicleID)
It needs to be getLaneID with a capital D.