motatoes

TEST
=====
```
@pytest.mark.darwin
def test_osx_app_console_option(tmpdir, pyi_builder_spec, monkeypatch):
    # -*- mode: python ; coding: utf-8 -*-
    app_path = os.path.join(tmpdir, 'dist',
                            'osx console option.app')
    is_console_path = os.path.join(tmpdir, 'dist', 'itsaconsole.txt')

motatoes

✗ pytest tests/functional -k test_osx_app_console_option
Error processing line 1 of /Users/mohamedsayed/.pyenvs/py3/lib/python3.9/site-packages/matplotlib-3.3.2-py3.9-nspkg.pth:

Fatal Python error: init_import_site: Failed to import the site module
Python runtime state: initialized
Traceback (most recent call last):
  File "/usr/local/Cellar/python@3.9/3.9.5/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site.py", line 169, in addpackage
    exec(line)
  File "<string>", line 1, in <module>
  File "/usr/local/Cellar/python@3.9/3.9.5/Frameworks/Python.framework/Versions/3.9/lib/python3.9/importlib/util.py", line 2, in <module>

motatoes

from collections import deque

class Solution:
    def isValid(self, s: str) -> bool:
        l = deque()
        for i in range(len(s)):
            if s[i] in "[({":
                l.append(s[i])
            elif s[i] in "})]":
                if len(l) == 0:

motatoes

import math
import sys
# a = 999
# b = 1234

# 901
# 123

# a = 881

motatoes

import sys

def valid(n):
    return len(set(str(n))) == len(str(n))

a,b = list(map(int,input().split()))

for i in range(a,b+1):
    if valid(i):
        print(i)

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# this function takes a number and returns true if the digits of `n` are distinct otherwise returns false
def valid(n):
    return len(set(str(n))) == len(str(n))

# this variable will hold the maximum range found so far
mrange = 0

# this variable keeps track of the start for our range
start = 0

motatoes

motatoes

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

np.random.seed(209313920)

x = np.random.randint(1, 4, 500)

# we can see that the histgram x-ticks seems insensible when the 
# range of values is small

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# import pylab as pl
from matplotlib import pyplot as pl
from matplotlib.widgets import Button
import numpy as np
from roipoly import roipoly 

img = np.ones((100, 100)) * range(0, 100)
ROIs = []
fig = pl.Figure()
done = False

motatoes

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