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Greg Thompson
commited on
Commit
•
1114c2e
1
Parent(s):
9f23ec5
Add tests to curriculum mapper functions
Browse files
mathtext_fastapi/curriculum_mapper.py
CHANGED
@@ -5,46 +5,45 @@ import re
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from pathlib import Path
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def read_and_preprocess_spreadsheet():
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DATA_DIR = Path(__file__).parent.parent / "mathtext_fastapi" / "data" /
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script_df = pd.read_excel(DATA_DIR, engine='openpyxl')
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script_df.columns = script_df.columns[:2].tolist() + script_df.columns[2:11].astype(int).astype(str).tolist() + script_df.columns[11:].tolist()
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script_df.fillna('', inplace=True)
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return script_df
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def
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sideways_transitions = []
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second_match = match+1
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if direction == 'left':
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second_match = match-1
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for i in range(9):
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# Grade column
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current_grade = i+1
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if row[current_grade].lower().strip() == 'x':
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match_arr.append(i)
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for match in match_arr:
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if match_arr[-1] != match:
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sideways_transitions.append([
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direction,
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f"{skill_code}_G{match}",
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f"{skill_code}_G{second_match}"
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])
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return sideways_transitions
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pattern = r'[A-Z][0-9]\.\d+\.\d+'
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result = re.search(pattern, skill)
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return result.group()
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def build_horizontal_transitions(script_df):
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horizontal_transitions = []
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for index, row in script_df.iterrows():
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skill_code = extract_skill_code(row['Knowledge or Skill'])
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@@ -82,6 +81,18 @@ def build_horizontal_transitions(script_df):
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def gather_all_vertical_matches(script_df):
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all_matches = []
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columns = ['1', '2', '3', '4', '5', '6', '7', '8', '9']
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@@ -99,6 +110,18 @@ def gather_all_vertical_matches(script_df):
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def build_vertical_transitions(script_df):
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vertical_transitions = []
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all_matches = gather_all_vertical_matches(script_df)
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@@ -129,6 +152,18 @@ def build_vertical_transitions(script_df):
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def build_all_states(all_transitions):
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all_states = []
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for transition in all_transitions:
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for index, state in enumerate(transition):
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@@ -140,7 +175,7 @@ def build_all_states(all_transitions):
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def build_curriculum_logic():
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script_df = read_and_preprocess_spreadsheet()
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horizontal_transitions = build_horizontal_transitions(script_df)
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vertical_transitions = build_vertical_transitions(script_df)
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all_transitions = horizontal_transitions + vertical_transitions
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from pathlib import Path
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def read_and_preprocess_spreadsheet(file_name):
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""" Creates a pandas dataframe from the curriculum overview spreadsheet """
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DATA_DIR = Path(__file__).parent.parent / "mathtext_fastapi" / "data" / file_name
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script_df = pd.read_excel(DATA_DIR, engine='openpyxl')
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# Ensures the grade level columns are integers instead of floats
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script_df.columns = script_df.columns[:2].tolist() + script_df.columns[2:11].astype(int).astype(str).tolist() + script_df.columns[11:].tolist()
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script_df.fillna('', inplace=True)
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return script_df
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def extract_skill_code(skill):
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""" Looks within a curricular skill description for its descriptive code
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Input
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- skill: str - a brief description of a curricular skill
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>>> extract_skill_code('A3.3.4 - Solve inequalities')
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'A3.3.4'
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>>> extract_skill_code('A3.3.2 - Graph linear equations, and identify the x- and y-intercepts or the slope of a line')
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'A3.3.2'
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"""
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pattern = r'[A-Z][0-9]\.\d+\.\d+'
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result = re.search(pattern, skill)
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return result.group()
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def build_horizontal_transitions(script_df):
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""" Build a list of transitional relationships within a curricular skill
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Inputs
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- script_df: pandas dataframe - an overview of the curriculum skills by grade level
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Output
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- horizontal_transitions: array of arrays - transition data with label, from state, and to state
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>>> script_df = read_and_preprocess_spreadsheet('curriculum_framework_for_tests.xlsx')
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>>> build_horizontal_transitions(script_df)
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[['right', 'N1.1.1_G1', 'N1.1.1_G2'], ['right', 'N1.1.1_G2', 'N1.1.1_G3'], ['right', 'N1.1.1_G3', 'N1.1.1_G4'], ['right', 'N1.1.1_G4', 'N1.1.1_G5'], ['right', 'N1.1.1_G5', 'N1.1.1_G6'], ['left', 'N1.1.1_G6', 'N1.1.1_G5'], ['left', 'N1.1.1_G5', 'N1.1.1_G4'], ['left', 'N1.1.1_G4', 'N1.1.1_G3'], ['left', 'N1.1.1_G3', 'N1.1.1_G2'], ['left', 'N1.1.1_G2', 'N1.1.1_G1'], ['right', 'N1.1.2_G1', 'N1.1.2_G2'], ['right', 'N1.1.2_G2', 'N1.1.2_G3'], ['right', 'N1.1.2_G3', 'N1.1.2_G4'], ['right', 'N1.1.2_G4', 'N1.1.2_G5'], ['right', 'N1.1.2_G5', 'N1.1.2_G6'], ['left', 'N1.1.2_G6', 'N1.1.2_G5'], ['left', 'N1.1.2_G5', 'N1.1.2_G4'], ['left', 'N1.1.2_G4', 'N1.1.2_G3'], ['left', 'N1.1.2_G3', 'N1.1.2_G2'], ['left', 'N1.1.2_G2', 'N1.1.2_G1']]
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"""
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horizontal_transitions = []
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for index, row in script_df.iterrows():
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skill_code = extract_skill_code(row['Knowledge or Skill'])
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def gather_all_vertical_matches(script_df):
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""" Build a list of transitional relationships within a grade level across skills
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Inputs
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- script_df: pandas dataframe - an overview of the curriculum skills by grade level
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Output
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- all_matches: array of arrays - represents skills at each grade level
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>>> script_df = read_and_preprocess_spreadsheet('curriculum_framework_for_tests.xlsx')
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>>> gather_all_vertical_matches(script_df)
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[['N1.1.1', '1'], ['N1.1.2', '1'], ['N1.1.1', '2'], ['N1.1.2', '2'], ['N1.1.1', '3'], ['N1.1.2', '3'], ['N1.1.1', '4'], ['N1.1.2', '4'], ['N1.1.1', '5'], ['N1.1.2', '5'], ['N1.1.1', '6'], ['N1.1.2', '6']]
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"""
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all_matches = []
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columns = ['1', '2', '3', '4', '5', '6', '7', '8', '9']
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def build_vertical_transitions(script_df):
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""" Build a list of transitional relationships within a grade level across skills
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Inputs
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- script_df: pandas dataframe - an overview of the curriculum skills by grade level
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Output
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- vertical_transitions: array of arrays - transition data with label, from state, and to state
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>>> script_df = read_and_preprocess_spreadsheet('curriculum_framework_for_tests.xlsx')
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>>> build_vertical_transitions(script_df)
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[['down', 'N1.1.1_G1', 'N1.1.2_G1'], ['down', 'N1.1.2_G1', 'N1.1.1_G1'], ['down', 'N1.1.1_G2', 'N1.1.2_G2'], ['down', 'N1.1.2_G2', 'N1.1.1_G2'], ['down', 'N1.1.1_G3', 'N1.1.2_G3'], ['down', 'N1.1.2_G3', 'N1.1.1_G3'], ['down', 'N1.1.1_G4', 'N1.1.2_G4'], ['down', 'N1.1.2_G4', 'N1.1.1_G4'], ['down', 'N1.1.1_G5', 'N1.1.2_G5'], ['down', 'N1.1.2_G5', 'N1.1.1_G5'], ['down', 'N1.1.1_G6', 'N1.1.2_G6'], ['up', 'N1.1.2_G6', 'N1.1.1_G6'], ['up', 'N1.1.1_G6', 'N1.1.2_G6'], ['up', 'N1.1.2_G5', 'N1.1.1_G5'], ['up', 'N1.1.1_G5', 'N1.1.2_G5'], ['up', 'N1.1.2_G4', 'N1.1.1_G4'], ['up', 'N1.1.1_G4', 'N1.1.2_G4'], ['up', 'N1.1.2_G3', 'N1.1.1_G3'], ['up', 'N1.1.1_G3', 'N1.1.2_G3'], ['up', 'N1.1.2_G2', 'N1.1.1_G2'], ['up', 'N1.1.1_G2', 'N1.1.2_G2'], ['up', 'N1.1.2_G1', 'N1.1.1_G1']]
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"""
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vertical_transitions = []
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all_matches = gather_all_vertical_matches(script_df)
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def build_all_states(all_transitions):
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""" Creates an array with all state labels for the curriculum
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Input
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- all_transitions: list of lists - all possible up, down, left, or right transitions in curriculum
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Output
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- all_states: list - a collection of state labels (skill code and grade number)
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>>> all_transitions = [['right', 'N1.1.1_G1', 'N1.1.1_G2'], ['right', 'N1.1.1_G2', 'N1.1.1_G3'], ['right', 'N1.1.1_G3', 'N1.1.1_G4'], ['right', 'N1.1.1_G4', 'N1.1.1_G5'], ['right', 'N1.1.1_G5', 'N1.1.1_G6'], ['left', 'N1.1.1_G6', 'N1.1.1_G5'], ['left', 'N1.1.1_G5', 'N1.1.1_G4'], ['left', 'N1.1.1_G4', 'N1.1.1_G3'], ['left', 'N1.1.1_G3', 'N1.1.1_G2'], ['left', 'N1.1.1_G2', 'N1.1.1_G1'], ['right', 'N1.1.2_G1', 'N1.1.2_G2'], ['right', 'N1.1.2_G2', 'N1.1.2_G3'], ['right', 'N1.1.2_G3', 'N1.1.2_G4'], ['right', 'N1.1.2_G4', 'N1.1.2_G5'], ['right', 'N1.1.2_G5', 'N1.1.2_G6'], ['left', 'N1.1.2_G6', 'N1.1.2_G5'], ['left', 'N1.1.2_G5', 'N1.1.2_G4'], ['left', 'N1.1.2_G4', 'N1.1.2_G3'], ['left', 'N1.1.2_G3', 'N1.1.2_G2'], ['left', 'N1.1.2_G2', 'N1.1.2_G1'], ['down', 'N1.1.1_G1', 'N1.1.2_G1'], ['down', 'N1.1.2_G1', 'N1.1.1_G1'], ['down', 'N1.1.1_G2', 'N1.1.2_G2'], ['down', 'N1.1.2_G2', 'N1.1.1_G2'], ['down', 'N1.1.1_G3', 'N1.1.2_G3'], ['down', 'N1.1.2_G3', 'N1.1.1_G3'], ['down', 'N1.1.1_G4', 'N1.1.2_G4'], ['down', 'N1.1.2_G4', 'N1.1.1_G4'], ['down', 'N1.1.1_G5', 'N1.1.2_G5'], ['down', 'N1.1.2_G5', 'N1.1.1_G5'], ['down', 'N1.1.1_G6', 'N1.1.2_G6'], ['up', 'N1.1.2_G6', 'N1.1.1_G6'], ['up', 'N1.1.1_G6', 'N1.1.2_G6'], ['up', 'N1.1.2_G5', 'N1.1.1_G5'], ['up', 'N1.1.1_G5', 'N1.1.2_G5'], ['up', 'N1.1.2_G4', 'N1.1.1_G4'], ['up', 'N1.1.1_G4', 'N1.1.2_G4'], ['up', 'N1.1.2_G3', 'N1.1.1_G3'], ['up', 'N1.1.1_G3', 'N1.1.2_G3'], ['up', 'N1.1.2_G2', 'N1.1.1_G2'], ['up', 'N1.1.1_G2', 'N1.1.2_G2'], ['up', 'N1.1.2_G1', 'N1.1.1_G1']]
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>>> build_all_states(all_transitions)
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['N1.1.1_G1', 'N1.1.1_G2', 'N1.1.1_G3', 'N1.1.1_G4', 'N1.1.1_G5', 'N1.1.1_G6', 'N1.1.2_G1', 'N1.1.2_G2', 'N1.1.2_G3', 'N1.1.2_G4', 'N1.1.2_G5', 'N1.1.2_G6']
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"""
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all_states = []
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for transition in all_transitions:
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for index, state in enumerate(transition):
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def build_curriculum_logic():
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script_df = read_and_preprocess_spreadsheet('Rori_Framework_v1.xlsx')
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horizontal_transitions = build_horizontal_transitions(script_df)
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vertical_transitions = build_vertical_transitions(script_df)
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all_transitions = horizontal_transitions + vertical_transitions
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mathtext_fastapi/data/curriculum_framework_for_tests.xlsx
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Binary file (510 kB). View file
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mathtext_fastapi/data/text2int_results.csv
CHANGED
@@ -20,10 +20,10 @@ eight oh,80.0,8.0,False
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eighty,80.0,80.0,True
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ate,8.0,1.0,False
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double eight,88.0,8.0,False
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eight three seven five three O nine,8375309.0,
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eight three seven five three oh nine,8375309.0,8375309.0,True
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eight three seven five three zero nine,8375309.0,8375309.0,True
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eight three seven five three oh ni-ee-ine,8375309.0,
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two eight,28.0,16.0,False
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seven oh eleven,7011.0,77.0,False
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seven elevens,77.0,77.0,True
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@@ -31,10 +31,10 @@ seven eleven,711.0,77.0,False
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ninety nine oh five,9905.0,149.0,False
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seven 0 seven 0 seven 0 seven,7070707.0,7070707.0,True
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123 hundred,123000.0,223.0,False
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5 o 5,505.0,
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15 o 5,1505.0,
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15-o 5,1505.0,
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15 o-5,1505.0,
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911-thousand,911000.0,911000.0,True
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twenty-two twenty-two,2222.0,44.0,False
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twenty-two twenty-twos,484.0,44.0,False
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eighty,80.0,80.0,True
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ate,8.0,1.0,False
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double eight,88.0,8.0,False
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eight three seven five three O nine,8375309.0,8375319.0,False
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eight three seven five three oh nine,8375309.0,8375309.0,True
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eight three seven five three zero nine,8375309.0,8375309.0,True
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eight three seven five three oh ni-ee-ine,8375309.0,837530111.0,False
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two eight,28.0,16.0,False
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seven oh eleven,7011.0,77.0,False
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seven elevens,77.0,77.0,True
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ninety nine oh five,9905.0,149.0,False
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seven 0 seven 0 seven 0 seven,7070707.0,7070707.0,True
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123 hundred,123000.0,223.0,False
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5 o 5,505.0,515.0,False
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15 o 5,1505.0,21.0,False
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15-o 5,1505.0,21.0,False
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15 o-5,1505.0,21.0,False
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911-thousand,911000.0,911000.0,True
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twenty-two twenty-two,2222.0,44.0,False
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twenty-two twenty-twos,484.0,44.0,False
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