
Research
Malicious npm Packages Impersonate Flashbots SDKs, Targeting Ethereum Wallet Credentials
Four npm packages disguised as cryptographic tools steal developer credentials and send them to attacker-controlled Telegram infrastructure.
Flash Validators is a collection of advance math modules.
Currently supported calculations: geometry and statistics.
Add this line to your application's Gemfile:
gem 'flash_math'
And then execute:
$ bundle
Or install it yourself as:
$ gem install flash_math
####Geometrical Point:####
Use the following methods to generate geometical point:
GeometricPoint.new(x, y)
and GeometricPoint.new_by_array(array)
Use the following methods to generate geometical point data:
advance_by(vector)
and to_vector
geo_point = GeometricPoint.new(1, 2)
geo_vector = GeometricVector.new(2, -1)
geo_point.x #=> 1
geo_point.2 #=> 2
geo_point.advance_by(geo_vector) #=> [3, 1]
####Geometrical Vector:####
Use the following methods to generate geometical vector:
GeometricVector.new(x, y)
and GeometricVector.new_by_array(array)
Use the following methods to generate geometical vector data:
modulus
, collinear_with?(vector)
, cross_product(vector)
, and scalar_product(vector)
geo_vector1 = GeometricVector.new(1, 2)
geo_vector2 = GeometricVector.new(2, 4)
geo_vector1.x #=> 1
geo_vector1.y #=> 2
geo_vector1.modulus #=> 2.23606797749979
geo_vector1.collinear_with?(geo_vector2) #=> true
geo_vector1.cross_product(geo_vector2) #=> 10
geo_vector1.scalar_product(geo_vector2) #=> 0
####Geometrical Distance:####
Use the following method to generate geometical distance:
GeometricDistance.new(x, y)
and GeometricDistance.new_by_arrays(array)
Use the following methods to generate geometical distance data:
distance
, midpoint
, and midpoint_distance
geo_distance = GeometricalDistance.new_by_array([1, 1], [2, 4])
geo_distance.distance #=> 1
geo_distance.midpoint_distance #=> 0.5
geo_distance.midpoint #=> [2, 3]
####Geometrical Line:####
Use the following method to generate geometical line:
GeometricLine.new(point1, point2)
and GeometricLine.new_by_arrays(point1, point2)
Use the following methods to generate geometical line data:
angel_to
, distance_to
, horizontal?
, vertical?
, intersect_x
, parallel_to?
, slope
, x_intercept
, and y_intercept
geo_line1 = GeometricLine.new_by_arrays([0, 0], [1, 1])
geo_line2 = GeometricLine.new_by_arrays([0, 0], [1, -1])
point = GeometricPoint.new(3, 4)
geo_line1.angle_to(geo_line2) #=> 1.5707963267948966
geo_line1.distance_to(point) #=> 0.7071067811865475
geo_line1.horizontal? #=> false
geo_line1.vertical? #=> false
geo_line1.intersect_x(geo_line2) #=> 0.0
geo_line1.parallel_to?(geo_line2) #=> false
geo_line1.slope #=> 1.0
geo_line1.x_intercept #=> 0.0
geo_line1.y_intercept #=> 0.0
####Geometrical Segment:####
Use the following method to generate geometical segment:
GeometricSegment.new(point1, point2)
and GeometricSegment.new_by_arrays(point1, point2)
Use the following methods to generate geometical segment data:
bottommost_endpoint
, leftmost_endpoint
, rightmost_endpoint
, topmost_endpoint
, contains_point?
, distance_to?
, intersection_point_with
, intersects_with?
, length
, lies_on_one_line_with?
, overlaps?
, parallel_to?
, and to_vector
geo_segment1 = GeometricSegment.new_by_arrays([0, 0], [1, 1])
geo_segment2 = GeometricSegment.new_by_arrays([2, 2], [3, 3])
point = GeometricPoint.new(0, 1)
geo_segment1.bottommost_endpoint #=> [0, 0]
geo_segment1.leftmost_endpoint #=> [0, 0]
geo_segment1.rightmost_endpoint #=> [1, 1]
geo_segment1.topmost_endpoint #=> [1, 1]
geo_segment1.contains_point?(point) #=> true
geo_segment1.distance_to?(point) #=> 0.7071067811865476
geo_segment1.intersection_point_with(geo_segment2) #=> GeometricSegmentsDoNotIntersect error
geo_segment1.intersects_with?(geo_segment2) #=> false
geo_segment1.length #=> 1.4142135623730951
geo_segment1.lies_on_one_line_with?(geo_segment2) #=> true
geo_segment1.overlaps?(geo_segment2) #=> false
geo_segment1.parallel_to?(geo_segment2) #=> true
geo_segment1.to_vector #=> [0, 0]
####Geometrical Bounding Box:####
Use the following method to generate geometical bounding box:
GeometricBoundingBox.new(point1, point2)
and GeometricBoundingBox.new_by_arrays(point1, point2)
Use the following methods to generate geometical segment data:
contains?
and diagonal
geo_bounding_box = GeometricBoundingBox.new_by_arrays([-1, -1], [1, 1])
geo_bounding_box.contains?(GeometricPoint.new(0, 0)) #=> true
####Geometrical Polygon:####
Use the following method to generate geometical polygon:
GeometricBoundingBox.new(vertices)
Use the following methods to generate geometical polygon data:
area
, bounding_box
, contains
, and edges
geo_polygon = GeometricPolygon.new([GeometricPoint.new(0,0), GeometricPoint.new(1,1), GeometricPoint.new(0,1)]).area
geo_polygon.area #=> 0.5
geo_polygon.contains?(GeometricPoint.new(0.5, 0.5)) #=> true
####Statistical Spread:#### Use the following methods to generate the statistical spreads of an array:
mean
, median
, mean
, range
, min
, max
, percentile_from_value
, value_from_percentile
, variance
, standard_deviation
, relative_standard_deviation
, skewness
, and kurtosis
stats_spread = StatisticalSpread.new([1,1,2,3,10])
stats_spread.mean #=> 3.4
stats_spread.median #=> 2
stats_spread.mode #=> 1
stats_spread.range #=> 9
stats_spread.min #=> 1
stats_spread.max #=> 10
stats_spread.percentile_from_value(10) #=> 80
stats_spread.value_from_percentile(60) #=> 3
stats_spread.variance #=> 14.299999999999999
stats_spread.standard_deviation #=> 3.7815340802378072
stats_spread.relative_standard_deviation #=> 99.47961485463391
stats_spread.skewness #=> 1.188328915820243
stats_spread.kurtosis #=> 2.405613966453127
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)FAQs
Unknown package
We found that flash_math demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Four npm packages disguised as cryptographic tools steal developer credentials and send them to attacker-controlled Telegram infrastructure.
Security News
Ruby maintainers from Bundler and rbenv teams are building rv to bring Python uv's speed and unified tooling approach to Ruby development.
Security News
Following last week’s supply chain attack, Nx published findings on the GitHub Actions exploit and moved npm publishing to Trusted Publishers.